an investigation into the impact of...

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i AN INVESTIGATION INTO THE IMPACT OF INCREASED AN INVESTIGATION INTO THE IMPACT OF INCREASED AN INVESTIGATION INTO THE IMPACT OF INCREASED AN INVESTIGATION INTO THE IMPACT OF INCREASED DEVELOPMENT OF SHOPPING MALLS ON THE KENYAN DEVELOPMENT OF SHOPPING MALLS ON THE KENYAN DEVELOPMENT OF SHOPPING MALLS ON THE KENYAN DEVELOPMENT OF SHOPPING MALLS ON THE KENYAN RESIDENTIAL REAL ESTATE MARKET RESIDENTIAL REAL ESTATE MARKET RESIDENTIAL REAL ESTATE MARKET RESIDENTIAL REAL ESTATE MARKET (CASE STUDY: THE JUNCTION SHOPPING MALL) (CASE STUDY: THE JUNCTION SHOPPING MALL) (CASE STUDY: THE JUNCTION SHOPPING MALL) (CASE STUDY: THE JUNCTION SHOPPING MALL) BY BY BY BY MUANGE JUDITH MUANGE JUDITH MUANGE JUDITH MUANGE JUDITH NZILANI NZILANI NZILANI NZILANI B135/25388/2013 B135/25388/2013 B135/25388/2013 B135/25388/2013 A RESEARCH PROJECT SUBMITTED IN PARTIAL FULFILLMENT OF THE A RESEARCH PROJECT SUBMITTED IN PARTIAL FULFILLMENT OF THE A RESEARCH PROJECT SUBMITTED IN PARTIAL FULFILLMENT OF THE A RESEARCH PROJECT SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF DIPLOMA IN REAL ESTATE AGENCY REQUIREMENTS FOR THE AWARD OF DIPLOMA IN REAL ESTATE AGENCY REQUIREMENTS FOR THE AWARD OF DIPLOMA IN REAL ESTATE AGENCY REQUIREMENTS FOR THE AWARD OF DIPLOMA IN REAL ESTATE AGENCY AND PROPERTY MANAGEMENT AND PROPERTY MANAGEMENT AND PROPERTY MANAGEMENT AND PROPERTY MANAGEMENT DEPARTMENT OF REAL ESTATE AND CONSTRUCTION MANAGEMENT DEPARTMENT OF REAL ESTATE AND CONSTRUCTION MANAGEMENT DEPARTMENT OF REAL ESTATE AND CONSTRUCTION MANAGEMENT DEPARTMENT OF REAL ESTATE AND CONSTRUCTION MANAGEMENT SCHOOL OF BUILT ENVIRONMENT SCHOOL OF BUILT ENVIRONMENT SCHOOL OF BUILT ENVIRONMENT SCHOOL OF BUILT ENVIRONMENT COLLE COLLE COLLE COLLEGE OF ARCHITECTURE AND ENGINEERING GE OF ARCHITECTURE AND ENGINEERING GE OF ARCHITECTURE AND ENGINEERING GE OF ARCHITECTURE AND ENGINEERING UNIVERSITY OF NAIROBI UNIVERSITY OF NAIROBI UNIVERSITY OF NAIROBI UNIVERSITY OF NAIROBI MAY 2014 MAY 2014 MAY 2014 MAY 2014

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Page 1: AN INVESTIGATION INTO THE IMPACT OF …realestates.uonbi.ac.ke/sites/default/files/cae/artsdesign...DEVELOPMENT OF SHOPPING MALLS ON THE KENYAN RESIDENTIAL REAL ESTATE MARKETRESIDENTIAL

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AN INVESTIGATION INTO THE IMPACT OF INCREASED AN INVESTIGATION INTO THE IMPACT OF INCREASED AN INVESTIGATION INTO THE IMPACT OF INCREASED AN INVESTIGATION INTO THE IMPACT OF INCREASED

DEVELOPMENT OF SHOPPING MALLS ON THE KENYAN DEVELOPMENT OF SHOPPING MALLS ON THE KENYAN DEVELOPMENT OF SHOPPING MALLS ON THE KENYAN DEVELOPMENT OF SHOPPING MALLS ON THE KENYAN

RESIDENTIAL REAL ESTATE MARKETRESIDENTIAL REAL ESTATE MARKETRESIDENTIAL REAL ESTATE MARKETRESIDENTIAL REAL ESTATE MARKET

(CASE STUDY: THE JUNCTION SHOPPING MALL)(CASE STUDY: THE JUNCTION SHOPPING MALL)(CASE STUDY: THE JUNCTION SHOPPING MALL)(CASE STUDY: THE JUNCTION SHOPPING MALL)

BYBYBYBY

MUANGE JUDITH MUANGE JUDITH MUANGE JUDITH MUANGE JUDITH NZILANINZILANINZILANINZILANI

B135/25388/2013B135/25388/2013B135/25388/2013B135/25388/2013

A RESEARCH PROJECT SUBMITTED IN PARTIAL FULFILLMENT OF THE A RESEARCH PROJECT SUBMITTED IN PARTIAL FULFILLMENT OF THE A RESEARCH PROJECT SUBMITTED IN PARTIAL FULFILLMENT OF THE A RESEARCH PROJECT SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF DIPLOMA IN REAL ESTATE AGENCY REQUIREMENTS FOR THE AWARD OF DIPLOMA IN REAL ESTATE AGENCY REQUIREMENTS FOR THE AWARD OF DIPLOMA IN REAL ESTATE AGENCY REQUIREMENTS FOR THE AWARD OF DIPLOMA IN REAL ESTATE AGENCY

AND PROPERTY MANAGEMENTAND PROPERTY MANAGEMENTAND PROPERTY MANAGEMENTAND PROPERTY MANAGEMENT DEPARTMENT OF REAL ESTATE AND CONSTRUCTION MANAGEMENTDEPARTMENT OF REAL ESTATE AND CONSTRUCTION MANAGEMENTDEPARTMENT OF REAL ESTATE AND CONSTRUCTION MANAGEMENTDEPARTMENT OF REAL ESTATE AND CONSTRUCTION MANAGEMENT

SCHOOL OF BUILT ENVIRONMENTSCHOOL OF BUILT ENVIRONMENTSCHOOL OF BUILT ENVIRONMENTSCHOOL OF BUILT ENVIRONMENT COLLECOLLECOLLECOLLEGE OF ARCHITECTURE AND ENGINEERINGGE OF ARCHITECTURE AND ENGINEERINGGE OF ARCHITECTURE AND ENGINEERINGGE OF ARCHITECTURE AND ENGINEERING

UNIVERSITY OF NAIROBIUNIVERSITY OF NAIROBIUNIVERSITY OF NAIROBIUNIVERSITY OF NAIROBI

MAY 2014MAY 2014MAY 2014MAY 2014

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TABLE OF CONTENTSTABLE OF CONTENTSTABLE OF CONTENTSTABLE OF CONTENTS TABLE OF CONTENTS .......................................................................................................................... II DECLARATION ..................................................................................................................................... VI DEDICATION ....................................................................................................................................... VII ACKNOWLEDGMENT ........................................................................................................................ VIII LIST OF FIGURES ................................................................................................................................ IX LIST OF TABLES .................................................................................................................................. IX LIST OF CHARTS ................................................................................................................................. IX LIST OF GRAPHS ................................................................................................................................ IX ABBREVIATIONS AND ACRONYMS .................................................................................................... X APPENDIX ............................................................................................................................................ XI ABSTRACT .......................................................................................................................................... XII CHAPTER ONECHAPTER ONECHAPTER ONECHAPTER ONE ...................................................................................................................................... 1 1.0 INTRODUCTION .......................................................................................................................... 1 1.1 PROBLEM STATEMENT ............................................................................................................... 4 1.3 OBJECTIVE OF THE STUDY ......................................................................................................... 7 1.4 HYPOTHESIS ............................................................................................................................. 8 1.5 RESEARCH METHODOLOGY ........................................................................................................ 8 1.5.1 Data collection ................................................................................................................. 8 1. 5.2 Data analysis ................................................................................................................... 8 1.5.3 Data presentation ............................................................................................................ 9 1.6 SIGNIFICANCE OF STUDY ........................................................................................................... 9 1.7 JUSTIFICATION OF STUDY ........................................................................................................... 9 1.8 STUDY ASSUMPTION ................................................................................................................ 10 1.9 SCOPE OF STUDY .................................................................................................................... 10 1.9.1 Conceptual scope.......................................................................................................... 10

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1.9.2 Physical scope/study area ............................................................................................ 10 1.10 DEFINITION OF TERMS .......................................................................................................... 11 1.11 ORGANIZATION OF THE STUDY .............................................................................................. 12 CHAPTER TWO: LITERATCHAPTER TWO: LITERATCHAPTER TWO: LITERATCHAPTER TWO: LITERATURE REVIEWURE REVIEWURE REVIEWURE REVIEW ............................................................................................ 13 2.0 INTRODUCTION ........................................................................................................................ 13 2.1 RESIDENTIAL PROPERTY MARKET IN KENYA ............................................................................. 13 2.2 FACTORS AFFECTING RESIDENTIAL PROPERTY PRICES IN KENYA .............................................. 14 2.2.1 The effect of new road construction on the property prices .......................................... 15 2.2.2 Property Prices and Interest Rates ............................................................................... 15 2.3 THE EVOLUTION OF SHOPPING CENTRES. .................................................................................. 16 2.4 TYPES OF SHOPPING CENTRES ................................................................................................ 23 2.4.1 Introduction .................................................................................................................... 23 2.4.2 Neighbourhood Centre ................................................................................................. 23 2.4.3 Community Centre ........................................................................................................ 24 2.4.4 Regional Centre ............................................................................................................ 24 2.4.5 Super regional Centre ................................................................................................... 24 2.4.6 Fashion/Specialty Centre .............................................................................................. 25 2.4.7 Power Centre ................................................................................................................. 25 2.4.8 Theme/Festival Center .................................................................................................. 25 2.4.9 Outlet Centre ................................................................................................................. 26 2.5 SHOPPING CENTRE DEVELOPMENT THEORIES ........................................................................... 27 2.5.1 Central Place Theory ........................................................................................................... 27 2.5.2 Congener Conglomeration Theory ...................................................................................... 28 2.5.3 The Bid Rent Theory ........................................................................................................... 29 2.6 IMPORTANCE OF SHOPPING CENTRE DEVELOPMENT ................................................................. 30 2.6.1 Economic perspective ......................................................................................................... 31 2.6.2 Social perspective ............................................................................................................... 32

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2.6.3 Urbanism perspective .......................................................................................................... 33 2.6.4 Environmental perspective .................................................................................................. 34 2.7 CASE STUDIES ANALYZING THE IMPACT OF SHOPPING MALL ON THE SURROUNDING RESIDENTIAL PROPERTY VALUES AND SUPPLY ........................................................................................................... 36 2.7.1 Introduction .......................................................................................................................... 36 2.7.2 Case study of Bugis Junction and Suntec City in Singapore .............................................. 36 2.7.3 The effect of Kasuwan Laushi Super Market on Surrounding Residential Accommodations in Bauchi Metropolis, Nigeria ........................................................................................................ 37 2.7.4 Case of Wal-mart and its effects on residential property values ......................................... 38 2.8 FACTORS LEADING TO INCREASED DEVELOPMENT OF SHOPPING MALLS IN NAIROBI ..................... 39 2.8.1 Introduction .................................................................................................................... 39 2.8.2 Economic Growth ................................................................................................................ 40 2.8.3 Growth of the middle class in Kenya ................................................................................... 41 2.8.4 Increased Urbanization in Kenya ........................................................................................ 42 2.8.5 Improved transport network ................................................................................................. 44 2.8.6 Foreign Investment .............................................................................................................. 45 CHAPTER THREE: RESEACHAPTER THREE: RESEACHAPTER THREE: RESEACHAPTER THREE: RESEARCH METHODOLOGYRCH METHODOLOGYRCH METHODOLOGYRCH METHODOLOGY ............................................................................ 47 3.0 INTRODUCTION ........................................................................................................................ 47 3.1 RESEARCH DESIGN .................................................................................................................. 47 3.2 POPULATION ........................................................................................................................... 47 3.3 SAMPLE AND SAMPLING TECHNIQUE .......................................................................................... 47 3.4 RELIABILITY AND VALIDITY OF DATA INSTRUMENTS ..................................................................... 48 3.5 INSTRUMENTATION .................................................................................................................. 49 3.6 DATA ANALYSIS ....................................................................................................................... 49

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CHAPTER FOUR: DATA CHAPTER FOUR: DATA CHAPTER FOUR: DATA CHAPTER FOUR: DATA ANALYSIS AND PRESENTANALYSIS AND PRESENTANALYSIS AND PRESENTANALYSIS AND PRESENTATIONATIONATIONATION............................................................. 50 4.0 INTRODUCTION ........................................................................................................................ 50 4.1 THE INCREASE IN SUPPLY OF HIGH END RESIDENTIAL UNITS ........................................................ 50 4.2 THE EFFECT OF THE JUNCTION MALL ON RESIDENTIAL UNITS PRICES .......................................... 54 4.3 RESIDENTS RESPONSE ON THE INCREASED PRICES FOR RESIDENTIAL HOUSING UNITS ................. 56 4.4 RESEARCH OBSERVATIONS. ..................................................................................................... 58 4.4.1 The Plot ratio reduction. ................................................................................................ 58 4.4.2 Increase in the number of storeys. ................................................................................ 58 4.5 HYPOTHESIS TESTING .............................................................................................................. 59 CHAPTER FIVE: CONCLUCHAPTER FIVE: CONCLUCHAPTER FIVE: CONCLUCHAPTER FIVE: CONCLUSIONS AND RECOMMENDASIONS AND RECOMMENDASIONS AND RECOMMENDASIONS AND RECOMMENDATIONSTIONSTIONSTIONS ........................................................ 61 5.0 INTRODUCTION ........................................................................................................................ 61 5.1 CONCLUSIONS ......................................................................................................................... 61 5.2 RECOMMENDATIONS ................................................................................................................ 63 5.3 AREAS OF FURTHER RESEARCH ................................................................................................ 64 BIBLIOGRAPHYBIBLIOGRAPHYBIBLIOGRAPHYBIBLIOGRAPHY ................................................................................................................................... 65 APPENDIX1: QUESTIONNAIRE TO REAL ESTATE DEVELOPERS AND PROFESSIONALS IN REAL ESTATE FIRMS.... ......................................................................................................................... 68 APPENDIX 2: QUESTIONNAIRE TO THE RESIDENTS CLOSE TO THE JUNCTION MALL ............ 70 APPENDIX 3: : : : SECTIONS OF THE JUNCTION MALL ........................................................................ 72

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DECLARATIONDECLARATIONDECLARATIONDECLARATION

I, Muange Judith NzilaniMuange Judith NzilaniMuange Judith NzilaniMuange Judith Nzilani hereby declare that this project is my original work and has

not been presented for a degree in any other university.

Signed: ............................................Date: .......................................................

The research project has been submitted for examination with my approval as the

University Supervisor.

Signed: ............................................Date: .......................................................

Mr. Peter NjeruMr. Peter NjeruMr. Peter NjeruMr. Peter Njeru

Lecturer, University of Nairobi

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DEDICATIONDEDICATIONDEDICATIONDEDICATION

This research project is dedicated to my loving mum Mrs. Annah Muange for her

unconditional support and constant encouragement throughout my entire period of

study.

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ACKNOWLEDGMENTACKNOWLEDGMENTACKNOWLEDGMENTACKNOWLEDGMENT

I thank God Almighty for being with me since commencement of this course for his

guidance and protection on my sojourns to and from University, my employer Knight

Frank Kenya Limited for according me the opportunity and time to undertake this

course.

I wish to express my sincere gratitude to my supervisor Mr. Peter Njeru who never

failed to consistently offer valuable guidance, suggestions, criticisms and

encouragement on the research work. God bless you.

I owe a lot of thanks to my informants and especially all the real estate developers

that were interviewed for all their cooperation.

I also owe special thanks to my colleagues Charles Macharia, Vivian and Cosmas

for their contributions.

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LIST OF FIGURESLIST OF FIGURESLIST OF FIGURESLIST OF FIGURES

Figure 1: Types of shopping Centres……………………………….............….…...26

Figure 2: Bid Rent Curve………………………………………………………...…...30

Figure 3: Residential Completed 2005-2011………………………………….….…58

Figure 4: Residential completed 2012-2014…………………………….….…..….59

LIST OF TABLESLIST OF TABLESLIST OF TABLESLIST OF TABLES

Table 1: The number of residential units ejected in the market…………..…...…51

Table 2: Price shift over time .……………………….………..……………...……...55

LIST OF CHARTSLIST OF CHARTSLIST OF CHARTSLIST OF CHARTS

Chart 1: Presentation of the distribution of respondents……………..…....….....50

Chart 2: Presentation on the residents characteristics…………………….….….53

Chart 3: Presentation of the supply of residential units……………..…….……….54

Chart 4: presentation of the factors affecting choice of location………………….56

LIST OF GRAPHSLIST OF GRAPHSLIST OF GRAPHSLIST OF GRAPHS

Graph1: The residential units ejected in the market……………………..…….….52

Graph 2: presentation of price shift over time………………………………........55

Graph 3: The residents’ willingness to pay a premium…………….…….…….…57

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ABBREVIATIONS AND ACRONYMSABBREVIATIONS AND ACRONYMSABBREVIATIONS AND ACRONYMSABBREVIATIONS AND ACRONYMS GDP GDP GDP GDP ---- Gross domestic product

EAC EAC EAC EAC ---- East African Community

COMESA COMESA COMESA COMESA ---- Common Markets of Eastern & Southern

Africa

AFDB AFDB AFDB AFDB ---- African Development Bank

ICSC ICSC ICSC ICSC ---- International Council of shopping Centres

HNWI HNWI HNWI HNWI ---- High net-worth individuals

PIRI PIRI PIRI PIRI ---- Prime International Residential Index

HCV HCV HCV HCV ---- Heavy Commercial Vehicles

GHS GHS GHS GHS ---- General Household Survey

AFDB AFDB AFDB AFDB ---- United Nations

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APPENDIXAPPENDIXAPPENDIXAPPENDIX Appendix 1: Real estate developers/professionals questionnaire

Appendix 2: Residents questionnaire

Appendix 3: The Junction shopping mall Photo

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ABSTRACT ABSTRACT ABSTRACT ABSTRACT

This research study deals the increased shopping centre development and how they

have impacted on the Kenyan residential property market. The Kenyan residential

market is characterised characterized by a large demand and a chronic undersupply

of formal housing. The paper investigates the relationship between shopping

centres (as a whole) and the price of neighbouring residential properties as well as

the supply of residential housing units in terms of proximity factor effect, of a modern

shopping centre. The study was guided by the following objectives; to document the

factors leading to increased development of shopping Mall in Nairobi; to investigate

the effect of increased shopping Mall development on the supply of residential

property market and to investigate the effect of increased shopping Mall

development on the prices of the residential property market. There was also

extensive and exhaustive review of literature on the related studies about the

research project. The data collection methods used was questionnaires and

interviews. The population studied was the professionals working in real estate firms,

developers and residents living within one kilometer radius from The Junction

shopping centre. The sample size chosen for the study was sixty (N=80)

respondents and the sampling technique used was convenience sampling.

The study found that, residential units that have proximity to shopping centres

generally command a premium. Notwithstanding the negative externalities of

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shopping centres. Residential properties within one kilometre-metre radius of

shopping centres command a higher premium than those farther away.

Furthermore, the results of the study show that the demand for residential properties

a shopping centres leading to increased supply by the real estate developers. These

findings will be of interest to investors in public housing, real estate firms and policy

makers. The study recommends that future development of shopping centers in

Nairobi should be well planned and strategic bearing in mind their development

affects the neighbouring residential market.

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CHAPTER ONECHAPTER ONECHAPTER ONECHAPTER ONE

1.01.01.01.0 IntroductionIntroductionIntroductionIntroduction

Real estate can be defined as land plus anything permanently fixed to it, including

buildings, sheds and other items attached to structure. Real estate can also refer to

the rights and interest inherent in ownership of real property. Real estate can be

grouped into four broad categories based on its use: residential, retail, commercial

and industrial. Examples of real estate include: un-developed land, houses,

condominiums, townhomes, office buildings, retail store buildings and factories.

Real estate or property market is the interaction of individuals in exchange of real

property rights or interests for other assets such as money. The property market is

one of the largest economic sectors in any country. In Kenya, the market has

continued to witness substantial growth over the last 10 years and this is expected to

continue in the medium term. According to a report by Knight Frank (2012), in the

year 2010 and 2011, the sector recorded a growth of 4.5% and 4.3% respectively.

Major indicators of a vibrant property market area increase is consumption of cement

over time, sustained demands for high end office, residential and retail properties

and an increase in the number of residential building plans approved and reported

completed buildings.

The government of Kenya has indentified the retail sector as one of the real estate

category as having rapid growth and development. The sector has largely

contributed to the Gross Domestic Product (GDP) due to increased trade, particularly

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within the East African Community (EAC) and the Common Markets of Eastern and

Southern Africa (COMESA). For the fifth year running, the National Economic Survey

(2013) has identified the retail and wholesale trade sectors as key growth drivers of

Kenya's economy. In 2011, the wholesale and retail trade sector showed a growth of

7.3%, outdoing the manufacturing, building and construction, agriculture, transport

and communication sectors. The sector’s contribution to the GDP increased to

10.6% in 2012 (Economic Survey, 2013).

A recent survey by City Group shows that Kenya’s retail market is the second most

formalized in the sub-Saharan region after South Africa which has 60% of its market

formalized. The Kenyan Market is said to be experiencing retail penetration of about

30% which is dominated by: chain stores and supermarkets like ‘Nakumatt’ with 37

stores, ‘Tuskys’ with 37 stores, followed by the upcoming ‘Naivas’ that has

established 19 outlets and ‘Uchumi’ with 18 outlets. The penetration is attributed to

the presence of strong brands of local outlets, a broad middle – income class, an

elaborate transport network and generally good governance in the country.

According to IPSOS Synovate (2012), the evidence of a growing appetite for

shopping space in Nairobi is shown by the high take up rates and occupancy levels

of almost 98%, by the time a shopping mall development is completed. A shopping

mall can be defined as a large retail complex containing a variety of stores, services,

parking areas, restaurants and other business establishments housed in a series of

connected or adjacent buildings or in a single large building. Shopping malls hence

form a part of the retail real estate property. Despite the relatively higher capital

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costs and longer construction period, shopping malls are returning rental yields of

between 10% and 13.5% in Nairobi, which is a good incentive compared to other

forms of real estate such as residential and commercial property whose rental yields

are 6% and 9% respectively (Knight Frank Africa Report, 2013). The high returns on

retail investment in Nairobi have lead to increased development of shopping malls.

Bearing in mind of the foregoing, this research takes on an investigation on the

impact of increased development of shopping malls on the residential real estate

market. The research project will be organized in five chapters.

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1.11.11.11.1 Problem StatementProblem StatementProblem StatementProblem Statement

According to Kitoto (2006), by the year 2001, Nairobi city had only 3 regional

shopping centres, namely: Sarit Centre, Village market and Yaya Centre, all of which

were developed in 1980’s and 1990’s. However, in the recent past, the real estate

market in the region has shown a tremendous increase in development of shopping

malls. According to IPSOS Synovate (2012), the demand for retail space in Nairobi

has grown in the last five years, spurred by a resurgent economy. Property

developers and investors have subsequently responded by developing more

shopping malls in order to keep up with the demand. This is evident by the shopping

centres that have been developed within the last 10 years which includes Kiambu

Road Shopping Centre in Kiambu, Westgate Mall in Westlands, The Junction Mall on

Ngong Road, Prestige Plaza on Ngong Road, T-mall in Langata, Capital Centre on

Mombasa Road, Ridgeways mall in Kiambu, Sarit Centre in Westlands, Yaya Centre

in Kilimani, Westlands mall in Westlands, Green span mall in Dohlnom, ABC Place

on Waiyaki way, Lavington Mall in Lavington, Galleria Mall in Karen and The Thika

Road Mall on Thika Road which have tremendously boosted the Nairobi retail

market.

In addition, Nairobi has within the last one year experienced proposals of new

shopping malls which include Two Rivers Mall in Runda, Garden City Mall on Thika

Road, Roselyn Riviera Mall in Rosslyn, The Hub in Karen, Lunga-Lunga Mall in

Industrial area, Nextgen Mall on Mombasa Road and Sun City mall in Koma Rock.

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Studies have been carried out in this particular area, for instance, Kutswa (2008)

discussed the effects of the increased shopping centres on retailers, while Mugo

(2008), in her study, investigated the impacts that large retail developments have on

the small and medium size business enterprises. Also, Mwanzia (2009) investigated

the impact of increased development of shopping centres in Buru Buru estate. In his

study, Mwanzia established that increased development of shopping centres in the

Buru Buru estate has led to increased property values, traffic, congestion and lack of

parking. He also recommended for the future studies to be conducted in other areas

where shopping centres have been developed.

However, many studies have been conducted in this area, and it has been

established that there is need to investigate on the impact of increased development

of shopping malls on the Kenyan residential property market. The Kenyan residential

market is characterized by a large demand and a chronic undersupply of formal

housing. Eventually, this situation has greatly impacted prices. AFDB (2013), “In

Kenya, it is estimated that 234,000 new housing units are required every year, yet,

only 20,000-30,000 units per year are currently being produced and a mere 20% of

these are affordable to low and moderate income families”.

The deficit in the supply of housing units in Kenya is as a result of the increase in

demand due to increase in population. The African Economic report by African

Development Bank in 2013 stated that, as of 2012, Kenyan population growth was

estimated at 4.2% per annum. Based on this growth, the rate of urban migration and

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the annual increase in demand for housing in Kenya, leads to a shortfall in formal

housing.

The first implication of this shortfall in formal housing is that populations which are

not catered for or cannot afford to be given prevailing prices have to turn towards

self-built and informal housing. In urban areas, this translates into the growth of

shanty towns. According to the Kenyan 2009 population census, over 30% of the

country’s population lives in slums. In Nairobi alone, it was estimated that over 1

million out of a city population of 3.2 million lived in slums, with only 3% of the

population living in a house with permanent walls, water and electricity (World Bank

2011).The second implication of a shortfall in supply is the continuous increase in

house prices.

In order to deal with the short-fall issue of formal housing, a number of initiatives

have been adopted. The most notable one being: The Kenya Slum Upgrading

Program. In 2003, the Kenyan Government and UN-HABITAT entered into a

Memorandum of understanding to upgrade slums and informal settlements starting

with selected areas in Nairobi. Secondly, there is the Civil Servant Housing which

was introduced by the Kenyan Government in 2004. The Civil Servants Housing

Scheme Fund which the government of Kenya has been running aims at providing

housing loan facilities to civil servants for the purposes of either purchasing or

constructing a residential house and developing housing units for sale or for rental by

civil servants. Lastly, there is the Kenya Informal Settlements Improvement Project

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which is spear headed by the World Bank. The program aims at improving conditions

in informal settlements.

As many initiatives have been adopted to bridge the demand-supply gap in the

Kenyan residential real estate market, it still remains unsolved. With this background

this research takes on an investigation on how the increased development of

shopping malls has impacted on the residential property market. The study will

specifically focus on how the increased mall development has affected the supply of

residential housing units and consequently the price and rental rates.

1.2 1.2 1.2 1.2 Research QuestionsResearch QuestionsResearch QuestionsResearch Questions

i. What factors have influenced the increased Shopping mall

development in Nairobi?

ii. How has the increased Shopping Mall development influenced the

supply of Kenyan residential property market?

iii. What is the impact of shopping Mall development to the prices and

rental rates of the Kenyan residential property market?

1.3 1.3 1.3 1.3 Objective Objective Objective Objective ofofofof thethethethe StudyStudyStudyStudy

The main objective of this study to investigate the impact of increased shopping Mall

development on the residential real estate market (The case of The Junction Mall).

Specific oSpecific oSpecific oSpecific objectivesbjectivesbjectivesbjectives

i. To document the factors leading to increased development of shopping

Mall in Nairobi.

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ii. To investigate the effect of increased shopping Mall development on the

supply of residential property market.

iii. To investigate the effect of increased shopping Mall development on the

prices of the residential property market.

1.4 1.4 1.4 1.4 HypothesisHypothesisHypothesisHypothesis

The increased development of shopping Mall has impacted on the Kenyan

residential property market.

1.51.51.51.5 Research MethodologyResearch MethodologyResearch MethodologyResearch Methodology

1.1.1.1.5555.1.1.1.1 Data collectionData collectionData collectionData collection

The research will be undertaken by use of both primary and secondary data. Primary

data will comprise of information collected from the field survey. The primary sources

will comprise oral interviews with residents of the target area, developers, real estate

professionals as well as the members of the public. Questionnaires will be

administered to the different correspondents, while interview schedules will be used

for interviews. On the other hand, Secondary data will be collected from literature

review sourced such as books, journals, official public documents, published and

unpublished research works, newspapers, magazine statutes and the internet.

1111. . . . 5555.2 .2 .2 .2 Data analysisData analysisData analysisData analysis

Mainly qualitative analysis method will be used in an attempt to employ objective

judgment on facts in order to form certain learned views on the different concerns.

Quantitative analysis will also be used at the basic level. The data received will be

analyzed using statistical methods like percentages, mean and variance.

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1111....5555.3.3.3.3 Data presentationData presentationData presentationData presentation

Data presentation mainly depended on the type of data to be presented. However,

commonly used data presentation tools like graphs, tables and pie charts will be

used.

1.61.61.61.6 Significance Significance Significance Significance of Studyof Studyof Studyof Study

Owing to the fact that there has been an increased development of shopping Malls in

Nairobi and at the same time the residential property market is experiencing a short-

fall in the supply of formal housing, and there is no information or in-depth study that

has been carried out on the effects of the increased mall development on the

residential property market, this study will therefore be helpful to real estate

participants like investors, developers, real estate professionals, researchers, real

estate lecturers and students and even real estate consumers. It will be helpful to the

real estate participants in assessing or analyzing the effect of the proposed or

existing shopping malls in reference to the neighbouring residential property market.

1.71.71.71.7 JustificationJustificationJustificationJustification ofofofof studystudystudystudy

Kutswa (2008) investigated the effect that the increased mall development has on

retailers only and didn’t concentrate on the other aspects like tenant mix, shopping

centres management that would be affected, while Mwanzia (2009) in his study

investigated the impact of increased development of shopping Malls in Buru Buru

estate. In this study, Mwanzia established that increased development of shopping

centres in the Buru Buru estate lead to increased property values, traffic, congestion

and lack of parking. The findings in his study were limited to Buru Buru estate; hence

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Mwanzia recommended studies to be conducted in other areas where shopping

malls have developed.

While the retail market in Kenya is experiencing an increase in suppy of the

shopping malls, the residential property market is characterized by a shortfall in

supply of formal housing. Therefore this study will investigate the impact that the

increased shopping mall development would have on the residential property market,

a case study of The Junction Mall on Ngong Road which is an entirely different

market from Buruburu.

1111.8.8.8.8 Study assumptionStudy assumptionStudy assumptionStudy assumption

Because some of the data will be collected from secondary sources, it will be

assumed that the data from those surveys were accurate and hence reliable

1.91.91.91.9 Scope of StudyScope of StudyScope of StudyScope of Study

1.91.91.91.9.1.1.1.1 Conceptual scopeConceptual scopeConceptual scopeConceptual scope

The study deals with instances where shopping malls have developed. In order to

decisively discuss the problem issues of the study, the research focuses on the

impact of mall development on the supply of formal housing and the residential

property rental rates and prices in Kenya.

1.91.91.91.9.2 .2 .2 .2 Physical scope/study areaPhysical scope/study areaPhysical scope/study areaPhysical scope/study area

The study is based on a case of The Junction mall along Ngong Road which is

located 17 kilometers from in Nairobi CBD. The research will be restricted to

shopping malls in general with particular emphasize to The Junction mall and the

surrounding residential market. The Junction mall is assumed to have a similar

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structure, tenant mix, management etc to other shopping malls and the findings will

reflect on the rest of the mall in other areas.

1.101.101.101.10 Definition of termsDefinition of termsDefinition of termsDefinition of terms

• Shopping Centre/MallShopping Centre/MallShopping Centre/MallShopping Centre/Mall: ICSC (1999) defined a shopping centre as a group of

commercial establishment, planned, developed, owned and managed as a

unit related in location, size and types of shops to the trade area the unit

serves. It provides on-site parking in a definite relationship to the types and

sizes of shops.

• Real estateReal estateReal estateReal estate: According to Wikipedia definition, real estate refers to land plus

anything permanently fixed to it, including buildings, sheds and other items

attached to the structure. Real estate can also refer to the rights and interest

inherent in ownership of real property.

• ResResResResidential property:idential property:idential property:idential property: Realtors Commercial Alliance(2005) defines Single- or

multifamily housing units that are used, serve, or are designed as a place of

residence

• Real estate or property marketReal estate or property marketReal estate or property marketReal estate or property market: CEM (2006) defined real property market as

the interaction of individuals who exchange real property rights or interests for

other assets such as money. The function of the real estate property market is

to establish a pattern of price so that given sufficient time, land resources are

allocated according to their most profitable (highest and best use) relative to

other land resources.

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1.111.111.111.11 Organization of the studyOrganization of the studyOrganization of the studyOrganization of the study

Chapter 1: Observes the problem statement, objectives of the study, research

hypothesis, research methodology, justification and significance of the study.

Chapter 2: Literature review, discussing the residential property market in Kenya, the

evolution of shopping centres and the different types of shopping centres, case

studies exploring the effect of shopping centres on residential property market and

the factors that have led to increased development of shopping malls.

Chapter 3: Research Methodology.

Chapter 4: Data Findings, analysis and presentation.

Chapter 5: Involves the conclusions from the information obtained after the data

analysis and recommendations mainly derived from the conclusion.

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CHAPTER TWOCHAPTER TWOCHAPTER TWOCHAPTER TWO: : : : LITERATURE REVIEWLITERATURE REVIEWLITERATURE REVIEWLITERATURE REVIEW

2.02.02.02.0 IntroductionIntroductionIntroductionIntroduction

A Shopping Centre/mall can be defined as a group of commercial establishment,

planned, developed, owned and managed as a unit related in location, size and

types of shops to the trade area the unit serves. It provides on-site parking in a

definite relationship to the types and sizes of shops. Shopping malls are becoming

increasingly popular throughout the world leading to increased development of malls.

Therefore it is important to know what factors influence their popularity and what

impact they have the residential property market. This chapter explains the factors

influence the increased development of shopping malls. It also explores relevant

literature on shopping centres and residential property market.

2.12.12.12.1 Residential Property Market in KenyaResidential Property Market in KenyaResidential Property Market in KenyaResidential Property Market in Kenya

Knight Frank (2012) stated in the quarterly report that Nairobi's luxury residential

market is expected to remain among strongest performers in 2012. The first quarter

report however showed prime residential property prices in Kenya's capital, which

remained unchanged between December 2011 and March 2012. The high-end

segment nonetheless recorded double-digit growth in the six months to March at

11.6 per cent. Knight Frank (2012) report stated that the value of prime property in

the world's key cities fell by 0.4 per cent in the first quarter of 2012, the first quarterly

fall of the index since the depths of the global recession. Some luxury buyers took to

the side-lines to observe their market's trajectory. Nairobi prime residential market

topped global cities with double-digit growth over a 12 month period alongside

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Jakarta, Miami and London despite the index's overall sluggish performance. The

Kenyan capital recorded a 24.2 per cent in 12-month change to March. According to

the report the overall index will remain subdued in 2012 fluctuating between marginal

price falls and rises with London, Moscow, Jakarta, Nairobi and Singapore expected

to be strongest performers. Kenya's luxury homes market in Nairobi and the coast

were the best performing prime residential property markets in the world in 2011,

according to The Wealth Report 2012 released by the property services firm and Citi

Private Bank.

Prices in these two locations rose highest in 2011 compared to other global locations

considered safe havens for property investments by high net-worth individuals

(HNWI). Nairobi recorded the strongest growth with a 25 per cent rise in prices for

top-end residential as the coast followed with a 20 per cent price rise, out of 71

locations tracked by Knight Frank's Prime International Residential Index (PIRI).

Knight Frank (2013) in the Africa Report stated that rental values have continued to

climb, partly as a result of a shift away from the mortgage market, resulting in

improving yields across the sector. According to the report with interest rates slowly

falling and a relatively stable economy, a post-election recovery is expected in this

sector in the second quarter of 2013.

2.22.22.22.2 Factors affecting Residential Property Prices in KenyaFactors affecting Residential Property Prices in KenyaFactors affecting Residential Property Prices in KenyaFactors affecting Residential Property Prices in Kenya

Kariuki (2012) the property market in Nairobi has in the last 10 years thrived to an all

time high. In 2010, Nairobi recorded the highest growth in luxury house prices in the

world. A study by Knight Frank found that the prices for real estate jumped by 25% in

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2011. These prices can be explained by the fact Kenya is safer than its neighbours.

It is also attracting investment from international companies and from the diaspora.

According to Kariuki the growth in prices and number of developments can also be

explained by other factors such as discussed below.

2.22.22.22.2.1.1.1.1 The effect of new road construction on the property pricesThe effect of new road construction on the property pricesThe effect of new road construction on the property pricesThe effect of new road construction on the property prices

According to Reader (2011), tttthe effects of road construction on property values is

great. Both in the positive and the negative, road construction can have a large effect

on property values. Kariuki (2012) the two scenarios have been reflected in the

Kenyan market. Where, in 2010 to beginning of 2012 travel time to Kiambu, a town

about 15km outside of Nairobi was two or more hours during the peak period. With

the completion of the Thika Super Highway travel time has been reduced to half an

hour or 45 minutes at the most during peak time and 15 minutes off peak. While

places like Langata which is closer to the CBD and has road construction going on

can take two hours travel time.

The road construction can also have a negative impact on property values. This

effect, according to Casey (2012) was seen on single family residences. The key

factor here is the increasing volume of traffic, leading to environmental pollution. It

has however positive impact on multifamily residential and commercial properties,

where proximity to the road is one of the most important factors.

2222.2.2.2.2....2222 Property Prices and Interest Rates Property Prices and Interest Rates Property Prices and Interest Rates Property Prices and Interest Rates

Kariuki (2012), Interest rates affect an individual’s ability to purchase residential

property. They affect the cost of financing and mortgage rates which in turn affects

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property. These rates also affect returns on substitute investments and price

changes. In the study Kariuki stated that during the 2008 and 2010 global property

meltdown, Kenya was warned that it was facing similar dire straits but these

predictions never scared off investors. However, the Kenyan property market

continued to thrive on low interest rates. In 2011, there were again predictions by

financial analysts that there was a looming property bust in Kenya and therefore the

likelihood of slowdown in the sector. This was because in 2011 and beginning of

2012, interest rates had increased from a low of 14% to more than 24%. This time

most real-estate players were in agreement that the boom time in the sector was

over and hard times beckoned, courtesy of the high interest rates.

2.32.32.32.3 TheTheTheThe eeeevolution of shopping centresvolution of shopping centresvolution of shopping centresvolution of shopping centres....

In the ancient times trading activities took place in meeting and gathering places

(Coleman 2007, p.19). Agora was an open ‘‘place of assembly’’ in ancient Greek

city-states. Mumford (1961) states that the most important function of the agora was

a place for daily communications for formal and informal assembly. In the beginning,

the citizens would gather in the agora for military duty or to hear statements of the

ruling king or council, early in the Greek history in 900’s-700’s B.C. Later, the Agora

defined as an open-air, often tented market place of a city where merchants had

their shops and where craftsmen made and sold their wares (Mark 2009, p.1).

According to Rubenstein (1992, p.2), Agora was the genesis of modern urban space.

Trajan’s Market (MercatusTraiani) is another important milestone in the evolution of

shopping places. During the middle ages, the complex was transformed by adding

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floor levels. Trajan’s Forum is likely to have been one of the first collections of

defined shops and was a magnificent arrangement of shared-use buildings. It was

the first example of the shops largely under cover and arranged on several levels

(Coleman 2007, p.20). Pevsner (1976, p.235) described Trajan’s Forum as having

about 150 shops on various levels. The upper levels were used for offices while the

lower part, had shops selling oil, wines, seafood, groceries, vegetables and fruit.

During Medieval period to 19thCentury, after the fall of the Western Roman Empire in

5thcentury, Western Europe drifted into 500 years or so of dark ages, shopping

included. The large-scale retail environment of the Roman forum was not re-attained

until many centuries later. However, trading never ceased and barter became the

basis for exchange of goods rather than money. Following the dark ages, the Middle

Ages witnessed the first sustained urbanization of northern and western Europe. As

a result, towns began to proper again, alongside the castles and abbeys, eventually

broadening and developing into trading centres (Coleman 2007, p.20).

The market and town halls were the heart of trading and business activity of the city.

They were located along with the market square, in the center of the town. The early

market and town hall buildings combined the two uses; the first floor was

administration, the ground floor remained open between the columns and was used

as an extension to the market. The merchandises displayed on removable stalls.

After a while, the ground floors were arranged into a group of small shops. So, the

defined shop spaces in Northern Europe started. This format of outward facing

collections of shops would come to form the basis of shop-lined streets throughout

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Europe in later centuries (Coleman 2007, p.20-21). Likely Morrison (2004, p.8) states

that, by 1300 permanent structures had began to intrude to on open market places.

These islands of buildings originated as temporary stalls arranged in narrow rows

devoted to particular trades. Later, the stalls were replaced by buildings with

domestic accommodation or storage above a stall or shop, and many were

eventually reconstructed as complete houses. By the 16th century, across Europe

market buildings were no longer combined with town halls. Instead, market halls

were built as large linear structures covering long nave-like spaces, with side aisles

lined with stalls forming collections of shops (Coleman 2007, p.22).

The bazaar first appeared in the Middle East, around the fourth century, along the

important trade routes as a reason of constant flow of foreign and exotic goods.

Special areas of cities were eventually designated as areas of trade for the

establishment of first bazaars. Bazaars were not only for trade, but they were also

the social, religious, and financial centers of cities. An Eastern Bazaar is a

permanent merchandizing area, market place, or street of shops where goods and

services are exchanged or sold. The bazaar is the precursor for the modern day

supermarket, flea market, and shopping mall, which originated from ancient

civilizations. More importantly, it has had a great influence on the economic

development and centralization in modern cities around the world.

An important detail in the evolution of Eastern bazaars, which is different from

European market and town halls is that, the bazaars were generally inward looking

with the shops facing into a covered street or interior space, while the European

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market and town halls generally arranged the shops to face outwards on to the

squares and streets (Coleman 2007, p.25). According to Geist, the Eastern bazaar is

the reference model of the arcade, which has also an inward planning (Geist

1985,p.4). In late 16th century Europe, an exchange a new type of trading building

appeared following the town hall and market place. The exchanges combined

different activities, with open stands selling goods on the first floor and commodity

trading stalls on the ground floor (Coleman 2007, p.25). The first exchanges were

stock exchanges. In the early times of the Royal Exchange of London, the building

was the collection of stalls, which were tended to sell luxury items, in a large

interior space with public thoroughfares passing between the lines of stalls .The

format of selling luxury items under cover in enclosed spaces extending over two

floors influenced the shopping formats of arcades and department stores (Coleman

2007, p.26).

By the 18th century, as a result of rise of bourgeoisie, the shopping streets developed

in Europe (Koolhaas, 2001 p.30). Just before the Industrial Revolution the market

places in cities were no longer spatially sufficient for the evolving trade. As a result,

starting from Italy during the16th century, and in northern Europe in the 17th century,

the central streets of cities were lined with shops, pubs and coffee shops, where the

shops were organized by type into the same street -e.g. Bread Street, Milk Street,

Cordwainer Street in London (Coleman 2007,p.26). The shopping streets are very

important in the evolution of arcades. Also with the later separation of pedestrian and

vehicular traffic the concept of shopping street was made more comfortable and

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safe, and has lead to our present shopping malls and pedestrian malls (Rubenstein

1992, p.14). Arcades are a highlight in the evolution of shopping. It was the first

European building planned primarily to accommodate a collection of shops

(Coleman2007, p.30). Amendola (2006, p.86) states that, arcade is a milestone in

the relationship between shopping and the city because they show that there is a

demand for experience and people are willing to pay for it. Thus they also indicate

that the public life reached its peak in the nineteenth century (Geist1985, p.1).

In the twentieth century, city planners and developers started to design large

enclosed shopping centers. As a result the nineteenth century shopping arcade had

become by 1970 a historic building type. However, it has never completely

disappeared, the corridors of shops have continued to utilize small areas of land

(MacKeith 1986, p.21, p.141). The department stores developed from the magasins

de nouveautes stores in Paris and the bazaar stores of London, originating in the

late-18thcentury (Coleman 2007, p.33). According to Sutcliffe (1993, p.132), between

the 1860 and 1900 it had become normal for department stores to have an open,

metal-framed interior with natural lighting which they shared this characteristic with

exhibition halls. As a result of Industrial Revolution, between late 18thand early

19thcentury, Many technological inventions took place in department stores. The

department stores were first with the elevator and second with escalators, which

were both highlights of vertical movement in public buildings (Coleman 2007,

p.38).Starting from the middle of the 20thcentury, because of the success of the

shopping centre, the department stores became inward looking simple boxes. Many

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of them closed but some of them refreshed and modernized interiorly and continue

to live (Coleman 2007, p.38, p.39). Around this time, from the middle of the

20thcentury while the shopping centers started to establish in the USA. According to

Pevsner (1976, p.271), a further development beyond the department store was the

chain store. Very interestingly, an instructive parallel to the chain store, first in the

USA, then extended to Europe, the chain of hotels started to develop (Pevsner 1976,

p.272). This was another inspiration for the architectural history from the retail

evolution. In the 1930’s, the self-service store concept, which was a precursor to

today's supermarkets was introduced. According to Coleman (2007, p.40), the

growth and success of the supermarkets was facilitated by new road systems, the

industrialization of food processing and packaging, networks and warehouses, and

the development of the refrigerator.

The supermarket concept born in the USA and it spread to Europe later with more

varied formats. The new larger formats developed in England such as ‘super stores’

and ‘hypermarkets’ in Europe. The hypermarkets have been used to anchor regional

shopping centers (Coleman 2007, p.40). Strip malls (also called mini-mall or

shopping plaza and often called a power center if it contains a ‘big box’ store),

defined as a collection of several stores located in the same building that share a

common parking lot, developed from the 1920s. The strip mall is often located at

major intersections in a town or city and easily accessed by car. They differ from the

larger shopping mall by containing fewer stores and are open-area planned where

the stores arranged in a row. The first unified shopping mall, the fore runner to the

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suburban shopping mall, was the Country Club Plaza, founded by the J.C. Nichols

Company in 1922, opened near Kansas City of the USA (Koolhaas 2001, p.34).

By the middle of the 20thcentury in the USA, the population was growing and

urbanites were seeking to escape from the intolerable urban conditions. Luckily, it

was possible to settle down in suburbs by the abundance of available and accessible

land and universal spread of car ownership (Coleman 2007, p.42). Additionally,

Beddington (1991, p.3) states that, the evolution in environmental engineering –

ventilation, air-conditioning systems and advanced lighting systems – facilitated the

development of closed malls. The suburban malls are the beginning of the shopping

centers in modern sense. According to Coleman (2007, p.42), in 1945 there were

only 45 suburban malls across America and in 1958 they grew over to 2900.

At the end of World War II (1945), urban America was still the inner cities and there

were hardly any outer cities; the suburban movement was just starting (Rusk 1995,

p.5). On April 1950, the Northgate Shopping Mall opened at NE Northgate Way at

5thAvenue in Seattle, which was planned by developers Rex Allison and Ben B.

Ehrlichman and designed by John Graham. According to Koolhaas’ (2001, p.34)

evolution of retail types, it was the first open-air mall. Northgate shopping mall

established the principle of shops being arranged either side of a long linear

pedestrian walkway and it became the model for the other suburban malls.

Eventually, the suburban malls influenced the form of many successful regional and

super-regional shopping malls throughout the world. The two types of mall plans, the

dumbbell and the cluster, were established in the early 1950s with the suburban

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malls. Today, most of the contemporary malls’ plan share characteristics of both

types (Herman 2001, p.462).

2.42.42.42.4 Types of Shopping CTypes of Shopping CTypes of Shopping CTypes of Shopping Centresentresentresentres

2.42.42.42.4.1 .1 .1 .1 IntroductionIntroductionIntroductionIntroduction

The term “shopping centre” has been evolving since the early 1950s. Given the

maturity of the industry, numerous types of centers currently exist that go beyond the

standard definitions. Industry nomenclature originally offered four basic terms:

neighbourhood, community, regional, and superregional centers.

However, as the industry has grown and changed more types of centers have

evolved and these four classifications are no longer adequate. The International

Council of Shopping Centers (ICSC’S) has defined eight principal shopping centre

types which include:

2.42.42.42.4.2 .2 .2 .2 Neighbourhood CentreNeighbourhood CentreNeighbourhood CentreNeighbourhood Centre

This centre is designed to provide convenience shopping for the day-to-day needs of

consumers in the immediate neighbourhood. According to ICSC's SCORE

publication, roughly half of these centers areas are anchored by a supermarket,

while about a third has a drug store anchor. These anchors are supported by stores

offering pharmaceuticals and health-related products, sundries, snacks and personal

services. A neighbourhood centre is usually configured as a straight-line strip with no

enclosed walkway or mall area, although a canopy may connect the storefronts.

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2.42.42.42.4.3.3.3.3 Community CentreCommunity CentreCommunity CentreCommunity Centre

A community centre typically offers a wider range of apparel and other soft goods

than the neighbourhood centre does. The common anchors are supermarkets, super

drugstores, and discount department stores. Community center tenants sometimes

contain off-price retailers selling such items as apparel, home

improvement/furnishings, toys, electronics or sporting goods. The center is usually

configured as a strip, in a straight line, or “L” or “U” shape. Of the eight center types,

community centers encompass the widest range of formats. For example, certain

centers that are anchored by a large discount department store refer to themselves

as discount centers. Others with a high percentage of square footage allocated to

off-price retailers can be termed off-price centers.

2.42.42.42.4.4 .4 .4 .4 Regional Regional Regional Regional CentreCentreCentreCentre

This center type provides general merchandise (a large percentage of which is

apparel) and services in full depth and variety. Its main attractions are its anchors:

traditional, mass merchant, or discount department stores or fashion specialty

stores. A typical regional center is usually enclosed with an inward orientation of the

stores connected by a common walkway and parking surrounds the outside

perimeter.

2222.4.4.4.4.5.5.5.5 SuperSuperSuperSuper RRRRegional Centreegional Centreegional Centreegional Centre

Similar to a regional centre, but because of its larger size, a super regional center

has more anchors, a deeper selection of merchandise, and draws from a larger

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population base. As with regional centers, the typical configuration is as an enclosed

mall, frequently with multilevels.

2.42.42.42.4.6.6.6.6 Fashion/Specialty CentreFashion/Specialty CentreFashion/Specialty CentreFashion/Specialty Centre

A centre composed mainly of upscale apparel shops, boutiques and craft shops

carrying selected fashion or unique merchandise of high quality and price. These

centers need not be anchored, although sometimes restaurants or entertainment can

provide the draw of anchors. The physical design of the centre is very sophisticated,

emphasizing a rich decor and high quality landscaping. These centers usually are

found in trade areas having high income levels.

2.42.42.42.4.7 Power.7 Power.7 Power.7 Power CentreCentreCentreCentre

A centre dominated by several large anchors, including discount department stores,

off-price stores, warehouse clubs, or "category killers," i.e., that offer tremendous

selection in a particular merchandise category at low prices. The centre typically

consists of several freestanding (unconnected) anchors and only a minimum amount

of small specialty tenants.

2.2.2.2.4444.8 .8 .8 .8 Theme/Festival CenterTheme/Festival CenterTheme/Festival CenterTheme/Festival Center

These centers typically employ a unifying theme that is carried out by the individual

shops in their architectural design and, to an extent, in their merchandise. The

biggest appeal of these centers is to tourists; they can be anchored by restaurants

and entertainment facilities. These centers, generally located in urban areas, tend to

be adapted from older, sometimes historic, buildings, and can be part of mixed use

projects.

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2.2.2.2.4444.9 .9 .9 .9 Outlet CentreOutlet CentreOutlet CentreOutlet Centre

Usually located in rural or occasionally in tourist locations, outlet enters consist

mostly of manufacturers' outlet stores selling their own brands at a discount. These

centers are typically not anchored. A strip configuration is most common; although

some are enclosed malls, and others can be arrange din a "village" cluster.

Figure1Figure1Figure1Figure1: Types: Types: Types: Types of shopping centresof shopping centresof shopping centresof shopping centres

Source: International Council of shopping Centres (ICSC) 1999

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2.2.2.2.5555 Shopping CentreShopping CentreShopping CentreShopping Centre developmentdevelopmentdevelopmentdevelopment TheoriesTheoriesTheoriesTheories

2.2.2.2.5555.1 Central Place .1 Central Place .1 Central Place .1 Central Place TTTTheoryheoryheoryheory

Central place theory was formulated by Walter Christaller in 1933.It is the most

developed theory of retail location. Central place theory models the relationship of

retail trade between towns. The theory earns its strength through its general

structure and its ability to analyze complex locational problems under highly

simplified conditions. The theory was an attempt to explain the size, nature and

spacing of cities as central places supplying goods to the surrounding population.

Since this study is concerned with shopping centre development, some important

terms related to this area are covered. The first is threshold which refers to the

minimum population required to support a given function. The second is range which

is the maximum distance a consumer will travel to purchase a good.

Goods are classified on a relative scale from lower order to higher order goods.

Lower order goods are those goods which consumers need frequently and therefore

are willing to travel only short distances for them. Higher order goods are needed

less frequently so consumers are willing to travel further for them. These longer trips

are usually undertaken for not only purchasing purposes but other activities as well.

One result of these consumer preferences is that a system of centers of various

sizes will emerge over space. Each center will supply particular types of goods

according to its level on the hierarchy. Rodrique (1975) states that the layout of

centers never conforms exactly to the predictions of the theory. Numerous factors

affect the spacing and functions of centers. Johnston in his study of central places in

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Melbourne found that age, purchasing power, and density affect the spacing of

centers and hierarchical arrangements. Sufficient densities will allow, for example, a

grocery store, a lower order function, to survive in an isolated location.

Economic status of consumers in an area is also important. Consumers of higher

economic status tend to be more mobile and, therefore, bypass centers providing

only lower order goods. The application of central place theory must be tempered by

an awareness of such factors when planning shopping center space location. The

central place theory assumes if consumer has only one shopping purposed then this

consumer will choose the closest relevant shopping center and retail destination to

do the shopping. This theory has described and explained how the retail market and

retail centers have formed up and what economical theory they have based on.

2.2.2.2.5555.2 .2 .2 .2 Congener ConglomerationCongener ConglomerationCongener ConglomerationCongener Conglomeration TheoryTheoryTheoryTheory

Hotelling (1929) found out what attract consumer a lot is when two competing

stores who sell similar products exist in the same shopping center/area, this also had

explained why there are so many stores with similar concepts existing same time in

a shopping center. This is called congener conglomeration. The congener

conglomeration theory focuses on the customer needs. The theory provides

customers effective retail choices and minimizes the risks of consumer when they do

shopping in a shopping place. Consumer can compare, select and avoid missed

information on the market because there is more than one similar offer available

front of them. Winter (1994) in the Journal of real estate research that well-planned

shopping centers with a desirable tenant mix can also create agglomeration

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economies for the non-anchor tenants. In fact, shopping center developers select,

through active centralized management, an appropriate set of anchor and non

anchor tenants for a given market profile.

2.2.2.2.5555.3.3.3.3 The Bid Rent TheoryThe Bid Rent TheoryThe Bid Rent TheoryThe Bid Rent Theory

Alonso (1960) developed he bid rent theory. The theory states that Land users,

whether they be retail, office, or residential, all compete for the most accessible land

within the CBD. The amount they are willing to pay is called bid rent. This can

generally be shown in a "bid rent curve", based on the reasoning that the most

accessible land, generally in the centre, is the most expensive land. It is a theory

that states that people will fight more and pay more for land and real estate that is

closest to the part of the city that is most important or brings in the most profit. The

term for this part of the city is the CBD or Central Business District. The theory is that

the people who are able to pay the most for the real estate will be in the best position

to make it profitable for those involved. Land rents payable by different users vary

with distance from some point in the market, usually the CBD. Since transport costs

rise with distance from the market, rents generally tend to fall correspondingly, but

different forms of land use i.e. retail, service, industrial, housing, and agricultural

generate different land rents. For example, retailers will be willing to pay high rents

for sites near the CBD where accessibility is of prime importance, but will be

unwilling to pay much for sites more than about 500 m from the peak land-value

intersection, because the distance shoppers are willing to walk is surprisingly short.

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Land rents for industries are lower since manufacturers cannot afford the high rents

that retailers can but drops away less sharply because pedestrian access is not such

a key point. Bid-rent theory shows that each land-user will outbid the others at

certain points. At that point, the successful, highest competing land use will

predominate, and the theory posits a series of land-use rings around the CBD.

Figure 2: Bid Rent CurveFigure 2: Bid Rent CurveFigure 2: Bid Rent CurveFigure 2: Bid Rent Curve

Source: http://en.wikipedia.org/

2.62.62.62.6 Importance of Shopping CImportance of Shopping CImportance of Shopping CImportance of Shopping Centre entre entre entre DDDDevelopmentevelopmentevelopmentevelopment

For the purpose this study, the importance of shopping center development will be

discussed from four angles to explain how the shopping center development could

help with social, urban, economic and environmental development.

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2.2.2.2.6666.1 Economic P.1 Economic P.1 Economic P.1 Economic Perspectiveerspectiveerspectiveerspective

A shopping center benefits the community and creates local employment within retail

trade, services, construction and manufacturing. The majority of jobs created within

the retail sectors are local. People working in the retail sector, especially within the

retail service industry, also live close to their work place, paying income tax to the

city and region as well as sales tax with their purchases. These jobs actively

contribute to the development of the city and there gion.

Shopping centers create and support millions of jobs within the development,

building and operation. A single shopping center can offer employment for

approximately 2,000 people. (Tegner, 2009).The shopping center development often

acts as an engine for regeneration, investment and city growth. In order to succeed

with the development of new urban and sub-urban areas, initial investments in roads

and infrastructure must be made. These investments need to be financed by high

value land uses such as shopping centers, residential areas and offices.

A shopping center can deliver good value both directly and indirectly by making the

residential and office developments more attractive for developers and end-users.

Shopping centers are high value land use. This means that shopping centers offer

an important platform for the growth of the retail trade and can act as an engine for

regeneration of the town center and surroundings. Physical improvements to the

environment will lift the broader economy.

Peoples ‘wish to get the best value in any trade is as old as humanity itself. Most

people therefore need to compare goods and prices before deciding to buy. In this

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case, shopping center could provide a very good platform for these needs. (Tegner,

2009).A new shopping center stimulates positive competition with other retail areas

including town centers and provides retail expansion possibilities the historical town

centers may not have room for. So the shopping center development acts as an

engine for regeneration, investment and city growth. A competitive environment

keeps prices low. Low prices benefit consumers individually which on an aggregated

level brings further macroeconomic benefits.

2.62.62.62.6.2 Social.2 Social.2 Social.2 Social PPPPerspectiveerspectiveerspectiveerspective

(Wang, 2011) a well designed shopping center improves the image of any local area,

city or region and attracts residents, visitors and tourists. In the development of a city

and region, one of the key factors is the existence of a dynamic downtown area. A

good regional shopping center creates a new destination which strengthens the

identity and attraction of the region and its cities. The new hub can lift the whole

region and town center and also give an impulse for town center and area

regeneration. A good shopping center acts as a natural family friendly meeting place

for people in its primary catchments area. Today shopping center is also used as

meeting places. (Nordic Council of Shopping Centers, 2009) People are strolling

through the mall both to see other people and to be seen. Shopping centers are

market places for the primary catchments area. Offering different forms of events

has also become a more common element to attract more customers and deliver a

better shopping experience. It is comfortable to shop and stroll around in a shopping

center where “all” errands can be carried out under one roof. Barrier free

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accessibility to the center and shops with wide alleyways and elevators and

escalators make it comfortable for customers and easier for disabled people and

families with kids to stroll around. In a shopping center you find resting places, baby

rooms, higher service level with a pleasant atmosphere, clean toilets, well

signposted directions and a safe and secure building.

A shopping center also can support social and cultural activities by containing or

connecting to cinemas, libraries, exhibitions, medical care and pharmacies.

Shopping centers not only provide retail and entertainment components, they also

offer public and private services. These are for example: banks, insurance

companies, health centers, libraries, citizens’ services, post offices, pharmacies and

medical care, but also Fitness centers, Kindergarten and educational training

facilities. A regional shopping center acts as a “second” town center for many and as

the town center for its primary catchments area. Here the customers have

possibilities to fulfill all their errands at one destination. (Tegner, 2009).

2.62.62.62.6.3 Urbanism P.3 Urbanism P.3 Urbanism P.3 Urbanism Perspectiveerspectiveerspectiveerspective

(Wang, 2011) in his thesis on shopping centre development in China states that,

wider spreading opinion is that the existence of retail is required for major urban

density and frequency and is an important function for the town centers. Shopping

centers, in town and out-of-town, fulfill important urban functions for urban minded

people. As cities grow, their population starts to live and work further and further

away from city center. And with economic growth it becomes increased need for

retail space.

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The ever-increasing demands on the town center of growing cities can only to a

certain degree be solved by higher density and infrastructure investments. Many

retailers have also started to specialize and widen their range of goods, demanding

larger shop-space and smarter logistics. Shopping centers, in town and out-of-town,

fulfill important urban functions for urban minded people who spend a lot of their lives

outside the city center. Urbanism is linked to a place where people live, work and

meet other people. If people live and work out of town, they also need retail out of

town to maintain an urban lifestyle. In many cases retail has developed as an

afterthought. As opposed to this, a regional shopping center outside the town can

offer preconditions for housing and work places and in that case act as an engine for

further urban development. (Tegner, 2009)

2.62.62.62.6.4.4.4.4 Environmental PEnvironmental PEnvironmental PEnvironmental Perspectiveerspectiveerspectiveerspective

A well designed shopping center offers an eco-friendly and sustainable environment

in one technically advanced building. New shopping centers are designed and built

to the latest technical and environmental standards. (Tegner, 2009) Possibilities to

obtain new standards are the use of: Geothermal energy Solar energy, sorting and

recycling of waste, use of ecologically sustainable materials in the construction

process, use of heat exchangers and reuse of rainwater. A shopping center

accessible via a choice of transport offers environmentally sustainable consumer

travel. Carrying out many errands in one journey is more eco-friendly than a single

item purchase. There are different possibilities to reach a regional shopping center.

Besides the most common, car travel, it is often possible to use public transport

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links, particularly when the regional shopping center is located close to residential

and commercial areas. If there is not an already installed public transport network in

an area, a shopping center can often contribute to public transport services by

investments and tax revenues. A shopping center is often well located between

where people work and live. So it is also possible and convenient for the customers

to shop on the way home or to work. This reduces the transporting mileage, which is

economically and environmentally sustainable as well as time saving.(Tegner, 2009)

A shopping center with direct access to the national road network offers efficient and

environmentally sustainable goods distribution. Customers combine many purchases

in one visit and transport the goods straight to their homes. Even when the shopping

trip is done by private car, the overall environmental impact is kept to a minimum.

There will be less heavy load traffic in the town centers and fewer congestion

problems because fewer transporters get into narrow streets in crowded town

centers. There will be lower emissions with less noise, light and sound disturbances.

In a regional shopping center it is possible to store more goods. Huge delivery of

goods is needed more seldom, because of the storage possibilities. The customers

also benefit from the storage of goods; because they can be assured that the whole

range of goodsis available. (Tegner, 2009)

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2.72.72.72.7 CaseCaseCaseCase studies analyzing the impact of shopping mall on the studies analyzing the impact of shopping mall on the studies analyzing the impact of shopping mall on the studies analyzing the impact of shopping mall on the surroundingsurroundingsurroundingsurrounding

resideresideresideresidential property values and ntial property values and ntial property values and ntial property values and supplysupplysupplysupply

2.72.72.72.7.1 Introduction.1 Introduction.1 Introduction.1 Introduction

Emrath (2002) provided evidence that having satisfactory shopping within one mile

increased housing prices substantially inside metro areas. Others, including Sirpal

(1994) and Des Rosiers et al. (1995), have also found a positive correlation between

shopping centers and housing prices.

2.72.72.72.7.2.2.2.2 Case study ofCase study ofCase study ofCase study of Bugis Junction and Suntec City in SingaporeBugis Junction and Suntec City in SingaporeBugis Junction and Suntec City in SingaporeBugis Junction and Suntec City in Singapore

In the early development of Singapore, the shopping belt was confined to the central

part of Singapore along Scotts Road and Orchard Road. Over time, more shopping

centres such as Bugis Junction and Suntec City were built in the fringe areas.

Moreover, with approximately 85% of Singapore’s population residing in HDB

housing estates (General Household Survey 2005), planned shopping centre is a

common feature in all estates as each public housing estate is planned to be a self-

sufficient town to meet the day to day needs of the residents. (Addae-Dapaah,

2010) states that as Singapore developed, the shopping facilities in the town centres

slowly evolved from being housed in shop houses to integrated retail developments

(shopping malls) offering all sorts of services. Currently, the shopping areas in HDB

towns (i.e. neighbourhood shopping centre in planning terms) offer a ‘one-stop’

shopping experience and have become a focal point for neighbourhoods to enhance

community living.

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Shopping centre is an externality that simultaneously exerts attractive as well as

repulsive effects which can impact household’s location choice. Addae-Dapaah in his

study used the hedonic pricing model to analyze 8627 sales to ascertain the

proximity effect of shopping malls on the price of HDB apartments. The results reveal

that homebuyers pay an average premium of 4.7% for shopping centre proximity

factor. However, the premium varies from estate to estate, ranging from 23.8% (in

Marine Parade) to 1.7% (in Bedok Estate). Furthermore, Flats within the 100m radius

from the shopping centre command the highest premium of 15%. The price premium

for this attribute decreases with increases in the distance from the shopping centre.

However, the decline in premium does not show a consistent pattern. The findings

also show that the price-distance relationship for the proximity factor to shopping

centre is likely to stretch beyond 500m. Flats within a town centre with a shopping

mall on the average, are considered more attractive. Homebuyers pay a price

premium of 6.1% for a flat located in an estate with a shopping mall as opposed to

one without.

2.72.72.72.7.3.3.3.3 The effectThe effectThe effectThe effect of Kasuwanof Kasuwanof Kasuwanof Kasuwan Laushi Super Market on SurroundLaushi Super Market on SurroundLaushi Super Market on SurroundLaushi Super Market on Surrounding Residential ing Residential ing Residential ing Residential

Accommodations iAccommodations iAccommodations iAccommodations in Bauchi Metropolis, Nigerian Bauchi Metropolis, Nigerian Bauchi Metropolis, Nigerian Bauchi Metropolis, Nigeria

Aliyu et.al (2011), Kasuwan Laushi is a neighborhood shopping center, located at

2110 Wunti Road, Bauchi metropolis. The center has a lot area of 282,000square

feet and consists of ten small retail stores and one independent grocery store. Aliyu

et.al (2011) in their research adopted the Hedonic regression model which been

developed to explain the variations in property values before and after the

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announcement of the proposed shopping center to investigate the effect of Laushi

Supermarket on residential accommodations. They found out that the

announcement of the proposed shopping center had both negative and positive

effects on the value of residential properties. At distances closer than 1,500 feet,

diseconomies appear to dominate. Beyond 1,500 feet, economies appear to

dominate. The trade-off between values proximate to the shopping center and

properties served by the center, but removed from its negative effects, would seem

to suggest there may be an optimal spatial frequency of these small shopping

centers.

2.72.72.72.7.4 .4 .4 .4 Case of WalCase of WalCase of WalCase of Wal----mart and its effects on residential property valuesmart and its effects on residential property valuesmart and its effects on residential property valuesmart and its effects on residential property values

Shulman (2009) examined the effect of a Wal-Mart’s entrance on residential property

values in five Colorado communities and found that proximity to a Wal-Mart

decreases residential property value. However, they also find evidence of the

possibility that the convenience of being in close proximity to the store may outweigh

the negative effect on property values in some instances. In addition several studies

suggest that the introduction of a Wal-mart store in a community has the potential to

lower housing prices through increased local crime, noise and light pollution, traffic

congestion, garbage accumulation, and loss of perceived visual aesthetics. These

disamenities are capitalized into housing prices. For example, Linden and Rockoff

(2008) and Pope (2008) have both recently shown that a discrete change in the risk

of a localized crime can have a causal impact on housing prices, Smith et al. (2002)

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showed that freeway noise can have a negative impact on housing prices, and Lim

and Missios (1995) showed the negative impact of landfills on housing prices.

However Jaren and Devin (2013) in their research compared the areas very near the

Wal-Marts to areas slightly further away before and after the Wal-Marts opened. The

results from their primary difference-in-differences specification suggest that a new

Wal-mart store actually increases housing prices by between 2 and 3 percent for

houses located within a half mile of the store and by 1 to 2 percent for houses

located between a half and one mile from the store. For the average priced home in

these areas this translates into an approximate $7,000 increase in housing price for

homes within a half mile of a newly opened Wal-mart and a $4,000 increase for

homes between a half and one mile. Overall, the estimated capitalization effects that

they found suggest a revealed preference by many households to live near a Wal-

mart and the stores that naturally agglomerate nearby. On average, the benefits to

quick and easy access to the lower retail prices offered by Wal-mart and shopping at

these other stores appear to matter more to households than any increase in crime,

traffic and congestion, noise and light pollution, or other negative externalities that

would be capitalized into housing prices.

2.82.82.82.8 Factors leading to iFactors leading to iFactors leading to iFactors leading to increased development oncreased development oncreased development oncreased development of shopping mallsf shopping mallsf shopping mallsf shopping malls in Nairobiin Nairobiin Nairobiin Nairobi

2.82.82.82.8.1.1.1.1 IntroductionIntroductionIntroductionIntroduction

Nairobi is located in Central East Africa. Nairobi is a strong developing city with

construction being one of the fastest growing industries in the market as a result of

the large number of real estate projects in the city. The major flight routes of the

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world indicate clearly that Nairobi is centrally located in relation to the world trade

routes. Also, the country’s favourable location relating to time zones, makes Kenya

the ideal destination for call centres and offices for international companies. These

are the positive reasons for many international companies to invest in Kenya and for

more to follow in the future. Apart from the good location, this study will explore the

other factors that have influenced the increased development of shopping centres in

Nairobi.

2.82.82.82.8.2.2.2.2 EconomicEconomicEconomicEconomic GrowthGrowthGrowthGrowth

Fernridge Consulting (2012) in their research stated that, In an environment of global

turbulence and domestic shocks, Kenya recorded moderate economic growth of

4.4% in 2011. For the second consecutive year, the economy experienced positive

growth across all quarters and sectors, even though agriculture performed poorly.

Kenya’s economic growth for the last four years has been relatively modest. Since

the 2008 crisis, Kenya has been growing at an average of 3.5% per annum, well

below the average for Sub-Saharan Africa (5.5%, excluding South Africa) and

significantly slower than the East African Community (EAC) countries, some of which

are among the fastest growing developing countries in the world. The World Bank

maintains its growth forecast for Kenya of 5.0% for 2012 and for 2013, a moderate

rate that will be driven by consumption. Growth could reach 5.4% in a high growth

scenario, but it could also dip further to 4.1% in the low case.

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Kenya’s economy is stabilising gradually. After sailing through rough waters in 2011,

the economy is back on track to achieve 5% growth in 2012. Three main factors

underpinned stabilisation:

First, the Government’s determined action to increase interest rates during the third

quarter of 2011 and prudent fiscal policies sent important signals to the markets and

this also helped to stabilise the exchange rate.

Secondly Inflation has started to decline sharply, due to the lower international food

and energy prices and thirdly Kenya’s service sector continued to expand strongly,

with very good results in tourism. GDP growth for Q1 2012 slowed to 3.5% as

compared to 5.1% in Q1 2011. Some of the factors behind the slowdown include the

delay in the onset of rains, frost in January, high inflation and tight monetary

conditions. The sectors that registered improved performance include Electricity up

10.8%, Transport and Communication (5.9%) and Agriculture (2.3%). Financial

intermediation and the construction sectors decelerated the most growing by 3.8%

and 3.2% against 12.6% and 7.0% respectively in the prior year.

2.82.82.82.8.3.3.3.3 GrowGrowGrowGrowth of the middle class in Kenyath of the middle class in Kenyath of the middle class in Kenyath of the middle class in Kenya

The African Development Bank defines the African middle class as those spending

between US$2 and US$20 a day. Africa’s middle class has tripled over the last 30

years, with one in three people now considered to be living above the poverty line -

but not among the wealthy. The current trajectory suggests that the African middle

class will grow to 1.1 billion (42%) in 2060.

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The major boom in population growth also generates a massive demand in the

middle class for goods and services. A typical African middle class family does not

generate an income from farming or rural activities. They generally live in urban

centres, have a higher level of tertiary education, and hold salary jobs to name a few

characteristics. Kenya’s middle class has grown to 10% of the urban population or

1.5 million people making Kenya home to one of the largest middle class populations

in sub-Saharan Africa.The AFDB estimates that about 16.8 percent or 6.7 million

Kenyans belong to the middle class, capable of spending $2 to $20 per day. The

World Bank estimates that less than 2 percent of Kenyans belong to the global

middle class, spending $10 and $20 a day. According to Kenya National Bureau of

Statistics, 1 in 5 Kenyans is in the middle class, which includes individuals spending

between $10 and $100 a day. That 1 in 5 Kenyans is the middle class is highly

improbable because only 12.4 percent, about 5.1 million Kenyans, work for a wage,

in the informal and the modern sector of the economy. This is according to figures

computed by the World Bank, based on the 2009 census and the 2012 Economic

Survey .Strong economic growth in the past two decades has helped reduce poverty

significantly and lift previously poor households into the middle class.

2222.8.8.8.8.4.4.4.4 Increased Urbanization in KenyaIncreased Urbanization in KenyaIncreased Urbanization in KenyaIncreased Urbanization in Kenya

Fernridge Consulting (2012) in their research stated that the Kenya Census 2009

highlights displayed Nairobi as the smallest area with the highest population density.

Overall 68% of the Kenya population is urbanised.

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Recent UN estimates suggest that Kenya’s urban population will expand to 38 million

by 2030 and account for 62.7 percent of the national population. These projections

indicate that the annual urban population growth rate will average 5.2 percent up to

2010, 4.2 percent over the period 2010-20 and 3.2 percent during the succeeding

decade (UN, 2003). 64% of the total Kenyan population is below the age of 25. With

the continued investment in education and increased urbanisation, it is evident that

Nairobi will experience a wave of educated young professionals entering the active

economic market. Nairobi is without a doubt the focus point for development and

should also be the focus point of retail growth in Kenya. At this rate of urbanization

the majority of the Kenyan population will be living in urban areas within the next 20

years. Rapid urban population growth means an increasing demand for urban land,

particularly for housing, but also for various other urban uses.

In order to realize Sustainable communities in Kenya there has been increased

development of shopping centres in Nairobi’s suburbs. Sustainable communities are

places where people want to live and work, now and in the future. They meet the

diverse needs of existing and future residents, are sensitive to their environment,

and contribute to a high quality of life. They are safe and inclusive, well planned, built

and run, and offer equality of opportunity and good services for all.

Sustainable communities embody the principles of sustainable development that is,

balancing and integrating the social, economic and environmental components of

their community, meeting the needs of existing and future generations and

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respecting the needs of other communities in the wider region or internationally to

make their own communities sustainable.

2.8.52.8.52.8.52.8.5 Improved Transport NImproved Transport NImproved Transport NImproved Transport Networketworketworketwork

Transport is an important aspect of infrastructure of a country. According to World

Bank (2011) infrastructure contributed half a percentage point to Kenya’s annual per

capita GDP growth over the last decade. Raising the country’s infrastructure

endowment to that of the region’s middle-income countries could boost annual

growth by more than 3 percentage points per capita.

World Bank (2011) the length of the trunk network is more than adequate. Even if

Kenya’s road density indicators look relatively low by some standards, the trunk

network provides basic regional and national connectivity, linking the capital to the

coast, to international border crossings, and to provincial capitals in the interior

Kenya has established a sound system for funding road maintenance. The country

has made great strides with institutional reforms. The country’s road fund meets

most of the good practice design criteria. Moreover, the fuel levy is set at a level

(around $0.12 per litre) adequate to fund the country’s road maintenance

requirements, and the associated revenues are indeed being fully captured by the

sector. The Nairobi Bypass Project is a Ksh 41.3 billion road project which will see

the construction of 3 roads around the city to aid in the easing traffic snarl-up within

Nairobi. These 3 roads are the Northern Bypass, Southern Bypass and Eastern

Bypass.The entire length of the roads is 98 km or paved road. All the roads will be

single or double carriageway and will be able to accommodate 2 HCV (Heavy

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Commercial Vehicles) on opposite directions.The 3 roads shall form a "ring" around

Nairobi and its environs with feeder roads, linking every part of Nairobi, making the

country a regional business hub. There is also The Nairobi-Thika Highway which

links downtown Nairobi to the suburbs and satellite towns. The former The Kenyan

President Mwai Kibaki officially inaugurated the superhighway connecting Nairobi

and Thika in November 2012. The superhighway is expected to boost the economy

of the East African Zone. The eight-lane highway is 50km long, starting from Nairobi

and running up to the outskirts of Thika. The Nairobi-Thika superhighway covers

several locations such as Marsabit, Lsiolo and Moyale. The route covered by the

project is a vital element of the Great North-Trans African Highway, which links Cape

Town and Cairo. The improved road transport has lead to increased economic

activities along these major roads, shopping malls being one of them. Along the

Northern by pass, we have the Two Rivers Mall which comprising of 281,000sqm of

built up area coming up, along the Thika super highway we have the Garden city

mall which comprises of 50,000 sqm of built up area and along the southern bypass

we have The Hub which comprises of 35,000 sqm of built up area coming up.

2.82.82.82.8.6.6.6.6 Foreign InvestmentForeign InvestmentForeign InvestmentForeign Investment

Kenya’s economy is market-based, with a few state-owned infrastructure

enterprises, and maintains a liberalized external trade system. The country is

generally perceived as Eastern and central Africa's hub for Financial,

Communication and Transportation services. As of March 2014, economic prospects

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are positive with above 5% GDP growth expected, largely because of expansions in

tourism, telecommunications, transport, construction and a recovery in agriculture.

The Royal Danish Embassy (2011) in their research indentified the following as the

following as the main factors leading to increased foreign investment in Kenya;

A Stable Democracy, fully liberalised economy, transparent and predictable tax and

licence regimes, relatively well developed infrastructure, a deep pool of educated

and skilled manpower, an attractive and comprehensive package of incentives

offered to investors, a leading tourism, wildlife and safari destination and

Membership of regional trading blocs among others.

Synovate (2012) Kenyan retail sector has experienced penetration by many

international companies. Some of the popular international market brands include

Mr. Price, Truworths, Woolworths, while local brands include Java, Kazuri Jewellery,

Little Soles, Artcaffe’, Dormans Coffee, Johari,General Motors, Proctor & Gamble,

Microsoft, Ogilvy and Mather, Coca-Cola and Citibank command a huge retail

market presence in most of the leading shopping centres in Nairobi.Other

international retail brands such as Game and South African fashion group Foschini

are expected to enter the Kenyan market and hence the demand for retail space in

Kenya is expected to increase further hence increased development of shopping

malls.

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CHAPTER THREECHAPTER THREECHAPTER THREECHAPTER THREE: : : : RESEARCH METHODOLOGYRESEARCH METHODOLOGYRESEARCH METHODOLOGYRESEARCH METHODOLOGY

3.03.03.03.0 IntroductionIntroductionIntroductionIntroduction

This chapter presents the research methodology. The chapter specifically presents

the research design, area of study, population, sample and sampling technique,

instrumentation, reliability and validity, data collection procedure, and data analysis

and presentation.

3.13.13.13.1 Research DResearch DResearch DResearch Designesignesignesign

This study is a descriptive survey. Descriptive surveys portray an accurate profile of

persons, events, or situations (Robson, 2002). Surveys allow the collection of large

amount of data from a sizable population in a highly economical way. It shall allow

this study to collect data which will be analyzed quantitatively using descriptive and

inferential statistics (Saunders et al., 2007). Therefore, the descriptive survey is

deemed the best strategy to fulfill the objectives of this study

3.23.23.23.2 PopulationPopulationPopulationPopulation

The population of study will consist of professional staff and of real estate

companies, real estate developers and residents within one kilometer radius from the

Junction shopping centre. These are the people best placed to provide the required

information.

3.33.33.33.3 Sample and Sample and Sample and Sample and Sampling TSampling TSampling TSampling Techniqueechniqueechniqueechnique

Sampling is that part of statistical practice concerned with the selection of individual

observations intended to yield some knowledge about a population of concern,

especially for the purposes of statistical inference. Since a sample will be selected

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from real estate firms in Nairobi and residents around the Junction, it is assumed that

selecting one firm is the same as selecting the other. Thus, the sample size for this

study will be selected using convenience sampling technique.

Convenience sampling (sometimes known as grab or opportunity sampling) is a type

of non-probability sampling which involves the sample being drawn from that part of

the population which is close to hand. That is, a sample population selected because

it is readily available and convenient. This method is used when one is unable to

access a wider population, for example due to time or cost constraints. The sample

size will be 80 respondents which are considered appropriate.

3.43.43.43.4 Reliability and Validity of DaReliability and Validity of DaReliability and Validity of DaReliability and Validity of Data Ita Ita Ita Instrumentsnstrumentsnstrumentsnstruments

According to Straight (1993), validity refers to the extent to which an instrument

measures what it intends to measure. In order to ensure the validity of these

instruments, the questions on the questionnaires will be constructed in a manner that

the responses only provide answers to the research questions. Piloting test will be

conducted with a sample of 5 respondents from 5 respondents who will not be part of

the final sample respondents for the study. The pilot study will be necessary to

determine validity of the instruments and enable the researcher to determine

whether the respondents understand the question. Reliability of measurements

concerns the degree to which a particular measuring procedure gives similar results

over a number of repeated trials. It also refers to the consistency of an instrument to

yield the same results at different times. The researcher will use test re-test type of

method in order to establish the reliability of the instruments. Test re-test method is

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applied where a test is given to respondents then after some time given again, gives

the same results. The researcher will make a comparison between answers obtained

from the two groups of respondents and the responses will be consistent with the

instruments hence deemed reliable. A Pearson’s product moment formula for the

test – retest will be employed to compute the correlation, coefficient in order to

establish the extent to which the content of the questionnaires will be consistent in

eliciting the same responses every time the instrument is administered.

3.53.53.53.5 InstrumentationInstrumentationInstrumentationInstrumentation

Questionnaires will be used to collect data. These will be structured questionnaires

to address the study objectives. The questionnaires will be administered using drop

and pick later method. A period of two weeks will be given for data collection period

after which those who would not have completed will be given one more week for

completion. These will then be collected and sorted ready for analysis.

3.63.63.63.6 Data aData aData aData analysis nalysis nalysis nalysis

Before processing the data, the questionnaires will be edited for completeness and

consistency. This ensures the questionnaire is completed as required. (Nachmias,

1996) The data will then be coded to facilitate statistical analysis. The SPSS

(Statistical package for social sciences) computer package will be used to analyze

the data. Data presentation will be in form descriptive statistics such as pie charts,

bar graphs, percentages and tables. This is because information can be interpreted

very easily since the methods are easier to understand.

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CHAPTER FOURCHAPTER FOURCHAPTER FOURCHAPTER FOUR

4.04.04.04.0 IntroductionIntroductionIntroductionIntroduction

This chapter contains data presentation and analysis of the data collected from the

field through questionnaires, obse

their views which was analysed in order to achieve

following shows how data was analysed.

4.14.14.14.1 TheTheTheThe increase in supply increase in supply increase in supply increase in supply

Questionnaires were administered to real estate professionals

developers on the supply of residential units within 1 kilometer radius from the

Junction mall.

70% of the respondents were professionals in real estate firms while 30% where real

estate developers as presented in the pie chart below.

Figure 4.1.1: Pie chart present

Source: Field Survey 2014

30%

Distribution of Respondents

CHAPTER FOURCHAPTER FOURCHAPTER FOURCHAPTER FOUR: : : : DATA DATA DATA DATA ANALYSIS AND PRESENTATIONANALYSIS AND PRESENTATIONANALYSIS AND PRESENTATIONANALYSIS AND PRESENTATION

This chapter contains data presentation and analysis of the data collected from the

questionnaires, observations and interviews. The respondents gave

their views which was analysed in order to achieve the objectives of his

g shows how data was analysed.

increase in supply increase in supply increase in supply increase in supply of highof highof highof high end residential unitsend residential unitsend residential unitsend residential units

Questionnaires were administered to real estate professionals

on the supply of residential units within 1 kilometer radius from the

70% of the respondents were professionals in real estate firms while 30% where real

estate developers as presented in the pie chart below.

chart presentation of the distribution of respondents

70%

Distribution of Respondents

Real estate firm professionals

Real estate developers

50

ANALYSIS AND PRESENTATIONANALYSIS AND PRESENTATIONANALYSIS AND PRESENTATIONANALYSIS AND PRESENTATION

This chapter contains data presentation and analysis of the data collected from the

rvations and interviews. The respondents gave

the objectives of his study.... The

and real estate

on the supply of residential units within 1 kilometer radius from the

70% of the respondents were professionals in real estate firms while 30% where real

of the distribution of respondents

Real estate firm professionals

Real estate developers

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8% of the residential units within 1 kilometre radius from the Junction Mall were

completed prior to 2004, before the shopping centre was developed.

25% of the residential units within 1 kilometre radius from the Junction Mall were

completed between 2005 and 2011 a period during which the phase 1 of the

Junction mall has been operational.

67%of the residential units within 1 kilometre radius from the Junction Mall were

completed between 2012 and 2014 a period during which the phase 2 of the

Junction mall has been operational.

The analysis of this data is presented in the table below.

Table 4.1Table 4.1Table 4.1Table 4.1.2.2.2.2:::: The number of residential units ejected in the market

NO.OF RESIDENTIAL

UNITS

PERCENTAGE YEAROF

COMPLETION

101 8% BEFORE 2005

332 25% 2005 - 2011

869 67% 2012 - 2014

Source: Field Survey 2014

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Figure 4.1.3 Bar graph Presentation of the residential units ejected in the market

Source: Field Survey 2014

In addition on the issue of increased supply of high end residential units

questionnaires were also administered to residents within 1 kilometer radius from the

Junction. The data collected is analyzed below.

50

150

250

350

450

550

650

750

850

950

Before 2004 2005 - 2010 2011 - 2014

Number of units

Year

The Number of units ejected in the market

No of

Units

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Figure Figure Figure Figure 4.1.44.1.44.1.44.1.4 Pie chart presentatio

Source: field survey 2014

62% of the respondents ranked

reason for the increased development

radius from the Junction.

Kenya as the reason for the increased supply of the

1 kilometer radius from the Junction mall.

13% of the respondents mentioned improved infrastructure at the reason for

increased supply of the high

mall.

48%

12%

Characteristics of the residents

Pie chart presentation on the resident’s characteristics

ranked proximity to The Junction mall as the number one

reason for the increased development of high end residential units within 1 kilometer

25% of the respondents mentioned property boom in

Kenya as the reason for the increased supply of the high end residential

1 kilometer radius from the Junction mall.

spondents mentioned improved infrastructure at the reason for

increased supply of the high end residential within a 1 kilometer from The Junction

10%

30%

Characteristics of the residents

Below 30 years

Between 30

Between 40

Above 60 years

53

e Junction mall as the number one

residential units within 1 kilometer

of the respondents mentioned property boom in

residential units within

spondents mentioned improved infrastructure at the reason for

within a 1 kilometer from The Junction

Below 30 years

Between 30-40 years

Between 40-50 years

Above 60 years

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Figure 4.1.5 Pie chart presentation

Source: Field Survey 2014

4.24.24.24.2 The effect of The Junction mall on residential units pricesThe effect of The Junction mall on residential units pricesThe effect of The Junction mall on residential units pricesThe effect of The Junction mall on residential units prices

Questionnaires were also administered to professionals in real estate firms,

their views on whether The Junction has mall has had effect on the increase

prices for high end residential units increased over the last eight

kilometer radius from the Junction.

there has been an increase in prices for the high end residential units over the

eight years. The data collected is presented in the table below according

many residential units where completed in the respective year

developer or the real estate firm was selling the units for. All the residential units in

the data presented are three bedroom apartments

25%

13%

Residential units supply

Pie chart presentation of the supply of residential units

The effect of The Junction mall on residential units pricesThe effect of The Junction mall on residential units pricesThe effect of The Junction mall on residential units pricesThe effect of The Junction mall on residential units prices

Questionnaires were also administered to professionals in real estate firms,

heir views on whether The Junction has mall has had effect on the increase

for high end residential units increased over the last eight

kilometer radius from the Junction. Almost 100% of the respondents mentioned that

there has been an increase in prices for the high end residential units over the

The data collected is presented in the table below according

where completed in the respective year and how much the

developer or the real estate firm was selling the units for. All the residential units in

presented are three bedroom apartments.

62%

Residential units supply

Proximity to the Junction

Property boom

Improved infrastructure

54

Questionnaires were also administered to professionals in real estate firms, to give

heir views on whether The Junction has mall has had effect on the increase the

for high end residential units increased over the last eight years within 1

the respondents mentioned that

there has been an increase in prices for the high end residential units over the last

The data collected is presented in the table below according to how

and how much the

developer or the real estate firm was selling the units for. All the residential units in

Proximity to the Junction

Property boom

Improved infrastructure

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The table 4.2.1 Price shift over time.

YEAR OF COMPLETIONYEAR OF COMPLETIONYEAR OF COMPLETIONYEAR OF COMPLETION NO OF UNITSNO OF UNITSNO OF UNITSNO OF UNITS PRICE(KSH)PRICE(KSH)PRICE(KSH)PRICE(KSH)

2007 50 6,500,000

2008 75 9,000,000

2009 101 10,500,000

2010 207 13,500,000

2011 271 14,000,000

2012 398 15,000,000

2013 532 17,500,000

2014 712 20,000,000

Source: Field Survey 2014

Figure 4.2.2 Bar graph presentation of price shift over time

Source: Field Survey 2014

0

5,000,000

10,000,000

15,000,000

20,000,000

25,000,000

2007 2008 2009 2010 2011 2012 2013 2014

Ksh

Sh

illi

ng

s

Year of Completion.

Price Shifts over time

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4444.3.3.3.3 Residents response on the increased prices for residential housing unitsResidents response on the increased prices for residential housing unitsResidents response on the increased prices for residential housing unitsResidents response on the increased prices for residential housing units

When asked on whether The

location;

i. 65% of the respondents mentioned the Junction Mall as a key factor they

considered before relocating to their current location.

ii. 25% of the respondents mentioned that The Junction didn’t c

location but suitability of the accommodation as the main reason they

relocated to the current premises

iii. 10% of the respondents mentioned other factors like proximity to schools like

Makini, Riara school and church as reasons as to why th

current premises. This data is presented in the pie chart below.

Figure 4.3.1 Pie chart presentation

Source: Field Survey 2014

25%

10%

Factors affecting choice of location

Residents response on the increased prices for residential housing unitsResidents response on the increased prices for residential housing unitsResidents response on the increased prices for residential housing unitsResidents response on the increased prices for residential housing units

The Junction mall was a contributing factor into their current

% of the respondents mentioned the Junction Mall as a key factor they

considered before relocating to their current location.

% of the respondents mentioned that The Junction didn’t c

location but suitability of the accommodation as the main reason they

relocated to the current premises

10% of the respondents mentioned other factors like proximity to schools like

Makini, Riara school and church as reasons as to why th

This data is presented in the pie chart below.

.1 Pie chart presentation of the factors affecting choice of location.

65%

10%

Factors affecting choice of location

Proximity to The Junction

Sutability of accomodation

Other factors like schools

56

Residents response on the increased prices for residential housing unitsResidents response on the increased prices for residential housing unitsResidents response on the increased prices for residential housing unitsResidents response on the increased prices for residential housing units

Junction mall was a contributing factor into their current

% of the respondents mentioned the Junction Mall as a key factor they

% of the respondents mentioned that The Junction didn’t contribute to their

location but suitability of the accommodation as the main reason they

10% of the respondents mentioned other factors like proximity to schools like

Makini, Riara school and church as reasons as to why they choose the

This data is presented in the pie chart below.

of the factors affecting choice of location.

Proximity to The Junction

Sutability of accomodation

Other factors like schools

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The residents living within one

administered with a questionnaire asking them on whether they would be willing to

pay a premium to live close to Junction.

i. 60% of the respondents said they would be willing to pay a premium in order

to enjoy the benefits

close to the Junction mall.

ii. 30% of the respondents said they would not pay

Junction. They mentioned some of the factors

such as terrorism, noise

iii. 10% of the residents were not keen on answering this particular

questionare.This data is presented in the pie chart below.

Figure 4.3.2 Bar graph presentation

Source; Field Survey 2014

0%

10%

20%

30%

40%

50%

60%

70%

Willing to pay a premium

PE

RC

EN

TA

GE

Siving within one kilometer radius from the Junction

administered with a questionnaire asking them on whether they would be willing to

a premium to live close to Junction.

0% of the respondents said they would be willing to pay a premium in order

to enjoy the benefits like easy access of recreational facilities etc

close to the Junction mall.

30% of the respondents said they would not pay high rates to live close to the

Junction. They mentioned some of the factors that would discourage them

, noise, traffic congestion etc

10% of the residents were not keen on answering this particular

questionare.This data is presented in the pie chart below.

.2 Bar graph presentation of the residents willingness to pay a premium

Willing to pay a premium Not willing to pay a premium Indifferent

RESPONSES

Effect on Prices

57

the Junction mall were also

administered with a questionnaire asking them on whether they would be willing to

0% of the respondents said they would be willing to pay a premium in order

like easy access of recreational facilities etc of residing

to live close to the

that would discourage them

10% of the residents were not keen on answering this particular

to pay a premium

Indifferent

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4.44.44.44.4 Research OResearch OResearch OResearch Observations.bservations.bservations.bservations.

The researcher made the following observations in the course of the data collection

through field survey.

4.44.44.44.4.1.1.1.1 The Plot Ratio RThe Plot Ratio RThe Plot Ratio RThe Plot Ratio Reduction.eduction.eduction.eduction.

The developers are now developing more blocks beside the earlier developments in

for example on acre land. Due to increased demand for housing and the need to

maximize on profits developers are now developing 4 blocks on one acre plot on

Riara Road, Gitanga Road, Masanduku Lane and Hatheru Road unlike in 2007

where one block of apartments sat on one acre plot.

4.44.44.44.4.2 .2 .2 .2 Increase in thIncrease in thIncrease in thIncrease in the Ne Ne Ne Number of Sumber of Sumber of Sumber of Storeys.toreys.toreys.toreys.

The real estate developers have also increased the number of storeys put up on the

apartment blocks.In 2007 the apartments had upto a maximum of four storeys but

currently in 2014 the storeys go up to seventeen storeys with lift provision.

Figure 3:Figure 3:Figure 3:Figure 3: Residential Completed 2005Residential Completed 2005Residential Completed 2005Residential Completed 2005----2011 GND+42011 GND+42011 GND+42011 GND+4

Source: Field survey 2014

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Figure 4: Figure 4: Figure 4: Figure 4: ResidentialResidentialResidentialResidential completed 2012completed 2012completed 2012completed 2012----2014 GND+72014 GND+72014 GND+72014 GND+7

Source: Field Survey 2014

4.54.54.54.5 Hypothesis Hypothesis Hypothesis Hypothesis TTTTestingestingestingesting

The hypothesis of the study was that; the increased development of shopping malls

has impacted on the Kenyan residential property market. The findings of the study

supported the hypothesis as it was shown that the development of The Junction

shopping centre has lead to increased prices of high end residential housing units.

The increase in prices according to the findings of this study is attributed to the

increased demand for residential units within 1 kilometer radius from the Junction

shopping centre. Most of the residents who were interviewed preferred living close to

the Junction shopping centre and were even willing to pay a premium for it because

of the benefits offered by the centre like quick and easy access to household goods

and recreational facilities.

The findings of this study have also shown that the development of the Junction

shopping centre has led to an increased supply of high end residential housing units

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60

within 1 kilometer radius. In order to meet the increased demand for high end

residential units developers have had to eject more units into the market. Almost

100% of the developers who were interviewed mentioned that they have had to

increase the number of storeys in apartment blocks or developed an extra block of

apartments beside the existing one.

It is therefore evident from the finds of this study that the development of shopping

centers creates a vibrant residential property market in the surrounding areas.

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CHAPTER FIVECHAPTER FIVECHAPTER FIVECHAPTER FIVE: : : : CONCLUSIONS AND CONCLUSIONS AND CONCLUSIONS AND CONCLUSIONS AND RECOMMENDATIONSRECOMMENDATIONSRECOMMENDATIONSRECOMMENDATIONS

5.05.05.05.0 IntroductionIntroductionIntroductionIntroduction

This chapter presents conclusions and recommendations of the study in the light of

the study objectives. Areas of further study regarding the subject are also included.

The objectives of the study were:

1. To document the factors leading to increased development of shopping Mall

in Nairobi.

2. To investigate the effect of increased shopping Mall development on the

supply of residential property market.

3. To investigate the effect of increased shopping Mall development on the

prices of the residential property market

In answering the question, the study examined the factors that have led to increased

development of shopping centers in Nairobi and the impact of the shopping centers

on the residential market. Answers to the issues raised have been deliberated in the

foregoing chapters and will be examined in summary form in this chapter.

5.15.15.15.1 ConclusionsConclusionsConclusionsConclusions

From the findings outlined in this study found out that several factors have led to the

increase in shopping mall development in Kenya. One of the factors leading to this

increase is the fact that the Kenyan economy is stabilising gradually. After sailing

through rough waters in 2011, the economy is back on track achieving 5% growth in

2012.In addition, the Kenyan’s middle class has grown to 10% of the urban

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population or 1.5 million people making Kenya home to one of the largest middle

class populations in sub-Saharan Africa.Thirdly this increase has also been caused

by increased urbanization in Kenya. This is more evidenced by the recent UN

estimates that suggest Kenya’s urban population will expand to 38 million by 2030

and account for 62.7 percent of the national population.

The findings of this study also found that the improved road transport has lead to

increased economic activities along these major roads, shopping malls development

being one of them. Lastly the Kenyan retail sector has experienced penetration by

many foreign investors.Some of the popular international market brands include Mr.

Price, Truworths,Woolworths, while local brands include Java, KazuriJewellery, Little

Soles, Artcaffe, Dormans Coffee, Johari,General Motors, Proctor & Gamble,

Microsoft, Ogilvy and Mather, Coca-Cola and Citibank command a huge retail

market presence in most of the leading shopping centres in Nairobi increasing the

demand for retail space in Kenya hence the increased development of shopping

malls in Kenya.

Moreover according to this study there is a positive correlation between shopping

centers and housing prices and supply. Overall, the estimated capitalization effects

according to this study suggest a revealed preference by many households to live

near a shopping centre and the stores that naturally agglomerate nearby. On

average, the benefits to quick and easy access to household goods and recreational

facilities offered by shopping centres appear to matter more to households than any

increase in crime, traffic and congestion, noise and light pollution, or other negative

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externalities. This therefore increases the demand for housing units close to the

shopping centres which consequently leads to developers to develop more

residential housing units to meet the market demand in the particular geographical

area.

In addition this study also found that residential units within the 1kilometre radius

from the shopping centre command a high premium. The findings also show that

residential units in an area with a shopping mall on the average are considered more

attractive. Homebuyers pay a price premium for a flat located in an estate with a

shopping mall as opposed to one without.

Shopping centers are important to the economic development of any country and

there increased development contributes to a vibrant real estate market.

5.25.25.25.2 RecommendationsRecommendationsRecommendationsRecommendations

Based on findings and conclusions that have already been made, the following

measures are recommended.

That future development of shopping centers in Nairobi should be well planned and

strategic bearing in mind that their development affects the neighbouring residential

market. In order for Kenya to bridge the gap between demand for residential housing

units and supply, Kenyan developers, real estate firms, the government and all other

key stakeholders involved in real estate market, should view shopping centre

development in the Nairobi’s suburbs and neighbouring estates as a means of

resolving the shortage of residential housing units.

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In addition all the key stakeholders in real estate which include the Government, real

estate researchers and professionals should be involved during the planning of a

new shopping centre in an effort to ensuring holistic planning and consideration of

the effects that the shopping centre might have on the real estate market and the

general economy of Kenya.

It is also important that Real estate developers try to minimize the negative

externalities like crime, traffic and congestion, insecurity, noise and light pollution etc

which tend to discourage people from living close to the shopping centers.

Future shopping center developments should be encouraged not only in the high end

suburbs but also in the low end areas. This will consequently increase the supply of

low end residential housing units where the demand for housing units in Kenya is

high. Both the local and National Government of Kenya should encourage policies

and incentives that are investor friendly so as to increase shopping mall

development in Kenya which consequently contributes to a vibrant real estate

market.

5.35.35.35.3 Areas of further Areas of further Areas of further Areas of further researchresearchresearchresearch

• Since shopping centers are becoming increasingly popular in Kenya and

especially in Nairobi, studies need to be conducted on the effects that the new

shopping centers have on the already existing shopping complexes.

• Studies to be also conducted on the effect of the increased shopping centre

development on the Kenyan commercial real estate market.

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BIBLIOGRAPHYBIBLIOGRAPHYBIBLIOGRAPHYBIBLIOGRAPHY

i. ADFB, (2013): African Housing Dynamics: Lessons from the Kenyan Market,

African Economic group.

ii. ADFB, (2011): The Middle of the Pyramid: Dynamics of the Middle Class in

Africa, African Development Bank.

iii. Cecilia M. and Maria S. (2011): Kenya’s Infrastructure: a Continental

Perspective

iv. Policy Research Working Paper.

v. Cox, W. and Cooke, E. (1970): Other Dimensions Involved In Shopping

Centre Preference, Journal of Marketing.

vi. Des Rosiers, F. and A. Lagana (1995): Shopping centres and house values:

an empirical investigation, Journal of Property Valuation and Investment.

vii. François D.et al. (1996): Shopping centres and house values: an empirical

investigation, Journal of Property Valuation &Investment, Vol. 14.

viii. Hickman, E, Gaines, J. and Ingram, F.J. (1984): The influence of

neighbourhood quality on residential values: The Real Estate Appraiser and

Analyst, Vol. 50.

ix. Howell, R. and Rogers, J. (1981): Research into Shopping Mall Choice

Behavior, Advances In Consumer Research: Association for Consumer

Research.

x. ICSC (2000): ICSC shopping center definitions: Basic configurations and

types.

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xi. Ikhram,(2013): How Shopping Malls Affect Property Value, Journal of

marketing.

xii. John D. and Mark E. (1994): The Evolution of Shopping Center Research: A

Review and Analysis.

xiii. John J. (1975): Retail Centre Planning and Central Place Theory; Journal of

the Town Planning Institute.

xiv. Kwame A. (2010): Shopping Centres and the Price of Proximate Residential

Properties; Department of Real Estate, SDE, National University of

Singapore. Liangping Wang (2011): Shopping center development in China:

Current situation, challenges and solutions; Division of Building and Real

Estate.

xv. Lowe M. (2000): Britain’s regional shopping centres: New urban forms? Urban

Studies. Vol.37, No.2.

xvi. Mu B. (2010): American Shopping Centre Development History; Financial

xvii. Economics Shanghai.

xviii. Njau (2011): Sustainable Urban Communities: Challenges and Opportunities

in Kenya’s Urban Sector; International Journal of Humanities and Social

Science Vol. 1 No. 4.

xix. Richard, A. (1991): A brief history of the mall: Advances in Consumer

Research Volume 18, Association for Consumer Research.

xx. Stephen, W.( 2007): Housing challenges in sub-saharan Africa;International

Housing Coallition.

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xxi. Winger, A. (2007): How important is distance from the Centre as a

Determinant of Urban Residential Values, Appraisal Journal.

Web source:Web source:Web source:Web source:

xxii. A brief history of shopping centres, June ICSC.

xxiii. http://www.icsc.org/srch/about/impact of shopping centers/briefhistory.html

xxiv. Wikipedia, Shopping mall explanation.

xxv. http://en.wikipedia.org/wiki/Shopping_mall

xxvi. American shopping center development history.

xxvii. http://www.verylib.com.cn/read/read.html

xxviii. www.investopedia.com

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APPENDIX1:APPENDIX1:APPENDIX1:APPENDIX1: QUESTIONNAIRE TO REAL ESTATE DEVELOPERS AND QUESTIONNAIRE TO REAL ESTATE DEVELOPERS AND QUESTIONNAIRE TO REAL ESTATE DEVELOPERS AND QUESTIONNAIRE TO REAL ESTATE DEVELOPERS AND

PROFESSIONALS IN PROFESSIONALS IN PROFESSIONALS IN PROFESSIONALS IN REALREALREALREAL ESTATE FIRMS.ESTATE FIRMS.ESTATE FIRMS.ESTATE FIRMS.

Dear Respondent,

I am a student at the University of Nairobi pursuing a Diploma course in Real

Estate Agency and Property Management.

I am conducting a research project on the impact on increased shopping centre

development on residential market in Nairobi.

Please fill in the blank spaces as honestly as you can. All information provided will

betreated with utmost confidentiality.

NAME……………………………………………………………

PROFESSION……………………………………………………

Q1. What is the name of the residential development you have put up close to The

Junction?

……………………………………………………………………………….

Q2. How many units does the development comprise of?

...............................................................................................

Q3.On what Acreage does the development sit on?

………………………………………………………………………………

Q5 Tick in the box the year the development was completed?

...............................................................................

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Before 2004

2005-2011

2011-2014

Q6. Please indicate the asking price for the residential units below.

Unit 3 bedroom 4 bedroom

Sale Price

Rental rate/Month

Q7.Do you think the proximity of the development toThe Junction Mall has had an

increase on the prices? Yes ( )

No ( )

Q8.If yes in the above please tick by what percentage below.

PERCENTAGE

300%

250%

200%

150%

100%

50%

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APPENDIXAPPENDIXAPPENDIXAPPENDIX 2: 2: 2: 2: QUESTIONNAIREQUESTIONNAIREQUESTIONNAIREQUESTIONNAIRE TTTTO THE RESIDENTSO THE RESIDENTSO THE RESIDENTSO THE RESIDENTS CLOSE TO THE CLOSE TO THE CLOSE TO THE CLOSE TO THE

JUNCTION MALLJUNCTION MALLJUNCTION MALLJUNCTION MALL

Dear Respondent,

I am a student at the University of Nairobi pursuing a Diploma course in Real

Estate Agency and Property Management.

I am conducting a research project on the impact on increased shopping centre

development on residential market in Nairobi.

Please fill in the blank spaces as honestly as you can. All information provided will

betreated with utmost confidentiality.

NAME……………………………………………………………

GENDER ……………………………………………………

AGE........... Below 30years ( )

Between 30-40 years ( )

Between 40-50 years ( )

Between 50-60 years ( )

Above 60 years ( )

Q1. Do you think there has been an increase residential development around The

Junction in the last seven years?

Yes

No

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If your answer is yes in the above please tick on the table what you think might have

led to this increase.

Q2. Would you be willing to pay a premium to live close to the Junction?

Q3.If your answer is yes above would you say The Junction contributed to your

current location?................................................................................................

REASON

Proximity to The Junction

Improved infrastructure

Property boom

Yes

No

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APPENDIXAPPENDIXAPPENDIXAPPENDIX 3: 3: 3: 3: SECTIONS OF THE JUNCTION MALLSECTIONS OF THE JUNCTION MALLSECTIONS OF THE JUNCTION MALLSECTIONS OF THE JUNCTION MALL

Source: field Survey 2014