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    Location-QuotientAnalysis and

    Porters ClusterIdentification Chart

    EconomicBasedTheory

    UrbanPlanning

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    Introduction:

    Location-Quotient (LQ) is a method toanalyse a regions economic condition.

    The main functions are:

    i. to identify the main

    (specialized/core/basic) economic

    sectors of a region,ii. to evaluate condition of each

    economic sector (Strong &

    Growing, Weak & Growing, Strong

    but Declining, or Weak and

    Declining)

    iii. to evaluate the impact of new

    investment or development.

    Location-Quotients Formula

    Definition:

    LQ is the ratio of an industry share of local

    economy, compared to a largerregion

    (referenced region) economy.

    Ex. A state economy compared to its

    nation/contry (referenced) economy.

    WNSR

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    Economic Based Theory & Interpretation of LQ

    LQ Interpretation

    Industries with:

    LQs > 1 (Basic Industries, Exporter, Specialized)

    LQs < 1 (Non-Basic Industries, Importer)

    LQs = 1 (Non-Basic Industries, Self-Sufficient)

    Economic Base Theory

    LQ model is outlined based on the

    principles accepted in Economic

    Based Theory.

    This theory assume that alleconomic activities can be

    categorized either as basic or non-

    basic sector.

    Local economic strength and

    growth very much depend on its

    basic sectors. Basic sectors (exports)are the engine of a region

    economic growth. Thus, any

    development of basic sector will

    also catalyst or have spill over effect

    on non-basic sectors.

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    Measurements and Assumptions of Location Quotient

    Location-Quotient Data used for

    measurement:

    Employment Number (Frequently and

    traditional)

    Sectoral Revenue/ Income/Salary

    Sectoral Investment

    Sectoral Gross Domestic Product (GDP)

    Sectoral output/product produced

    Sectoral impact

    Intangiblevalue

    Total Economy = Basic + Non-Basic

    Advantage & Disadvantage of LQUnlike Input-Output Model, LQ Model unable to

    explain detail resources transaction between

    industries, government and end users in a region.

    However, LQ have advantages of not requiring

    complex data but still able to briefly explain

    economic structure of a region and easier

    to be understand.

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    LQ Analysis and Employment Data

    Location-Quotients Formula

    Given are number of employment based oneconomic sectors of District i and State j on

    2000 and 2010. Based on these data:

    i. Determine core (basic) andsupporting

    (non-basic) economic sector for District i

    in year2010.

    ii. Analyze the condition of each economicsector, whethergrowing or declining in

    year 2010, and discuss possible

    mitigation actions for each sector.

    iii. Calculate the basedmultiplierfor District

    i in 2010, and what is the effectif there

    are new investment that create 10000new employment in service sector?

    iv. Why economic analysis is important for

    planner in planning an urban area?

    (10 carry marks)* Make your answer straight forward and discussions as

    comprehensive as possible, Submit on the following week.

    Economic Sector

    Employment Number (000')

    District i State j

    2000 2010 2000 2010

    Services 24 29 84 100

    Manufacturing 30 47 102 125

    Mining 9 7 52 52

    Forestry 6 17 40 81

    Total Employment 69 101 278 357

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    Qi: STEP 1 : Apply the LQ formula

    1. Add a new column named LQ 2010 into the data

    table.

    2. Apply the LQ formula as given just for 2010 data as

    required in question.

    i. Determine core (basic) and supporting (non-basic) economic sector for District i in

    year 2010.

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    Qi: STEP 2: Deter Basic and Non-Basic Sectors

    1. Based on the LQ value calculated, categorized each

    sectors into the below categorization:

    LQs > 1 (Basic Industries, Exporter, Specialized)

    LQs < 1 (Non-Basic Industries, Importer)

    LQs = 1 (Non-Basic Industries, Self-Sufficient)

    Answer Qi:

    Services and Manufacturing with LQ

    value more than 1.00 are the Basic or

    Core Economic sectors for District i

    with export based, while Mining and

    Forestry are both Non-Basic.

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    ii. Analyze the condition of each economic sector, whether growing or declining in year

    2010.

    Qii: STEP 1 : Calculate LQ of year tand t-1

    1. Add a new column named LQ 2000 into the data table.

    2. Apply the LQ formula to calculate LQ value of each

    sector for year 2000.

    3. Deter whether they are Basic or a non-basic sector.

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    Qii: STEP 2 : Calculate Differences in LQ2000 and LQ2010

    1. Calculate LQ for each sector for both year t and t-1 which respectively year 2010 and 2000.

    2. Next, calculate the differences in value of LQ2000 and LQ2010 by using the following formula:

    LQ2010-2000 = LQ2010 - LQ2000

    3. Negative value shows negative growth, while positive value show positive growth for

    respective sectors.

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    Qii: STEP 3 : Porters Cluster Identification Chart

    1. Based on calculation in Step 2, construct a Porters Cluster Identification Chart to identify

    whether an industry is in state ofStong and Growing, Strong butDeclining, Weak butGrowing,

    or Weak and Declining.

    Source: S.Deller (2010)

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    Qii: STEP 4 : Constructing Porters Cluster Identification Chart

    1. To constuct Porters Chart in Microsoft Excel, select the Insert Tab > Others Chart > Bubble

    Chart.

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    Qii: STEP 5 : Constructing Porters Cluster Identification Chart

    1. For Series X Value, select columnLQ2010.

    2. For Series Y Value, select column LQ2010-2000.

    3. For Series Buble Size, select column No. of Employment of District ion 2010.

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    Qii: STEP 6 : Constructing Porters Cluster Identification Chart

    1. Under Chart Tools > Layout > Axes > Primary Horizontal Axis > Option.

    2. Under Vertical Axis Crosses > Axis Value = 1.0

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    Answer Qii: Intrepertation of Porters Cluster Identification Chart

    1. Based on the Porters Chart plotted for District i, Manufacturing is identified as a strong and

    growing industry in the future, Services Industry is strong but Declining, Forestry is weak but

    growing, while Mining Industry in District i is weak and continuing to decline from year 2000 to

    2010 and expected to continue declining. ++ Discussions on mitigation actions for each sector

    -0.25

    -0.20

    -0.15

    -0.10

    -0.05

    0.00

    0.05

    0.10

    0.15

    0.20

    0.25

    0.00 0.50 1.00 1.50 2.00LQ

    LQ Changes

    Manufacturing

    ServicesMining

    Forestry

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    Possible Actions to be Taken

    -0.25

    -0.20

    -0.15

    -0.10

    -0.05

    0.00

    0.05

    0.10

    0.15

    0.20

    0.25

    0.00 0.50 1.00 1.50 2.00LQ

    LQ Changes

    Manufacturing

    ServicesMining

    Forestry

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    iii. Calculate the based multiplier for District i in 2010 and what is the effect if there are

    new investments that create 10 (000) new employment in service sector in year 2010?

    Qiii: Finding Impact of a new investment to regional economy.

    1. Based on the above formula, multiplier for District i in year 2010 is 1.32. Which means, for every

    1 new employment in Basic sector, will generate 0.32 (1.32-1.00) new employment in Non-Basic

    Sectors.

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    Answer Qiii: Impact of 10,000 new employments in Service (Basic) sector.

    In year 2010, 10,000 new employment in the Service (Basic) sectors, have trigger another 3,246

    new employments in total in other non-basic sectors due to multiplier and economic spill over

    effect. Resulting in total of 13,246 new employments created in District idue to the new investment

    in year 2010.

    Thus,

    TotalNewEmployment2010 = New Basic + New Non-Basic= 10,000 + 3246

    = 13246

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    Book

    Wang, X. & Hofe, R.V. ,(2007) Research Methods in Urban and Regional Planning. Springer Berlin Heidelberg,

    New York. ISBN 978-3-540-49657-1.

    Article

    S.Deller. (2010) Location-Quotients and TRED. University of Wisconsin. Obtain from

    http://nercrd/psu.edu/TRED/index.htmlon April 2012.

    Excel

    Maria Langer (1999) Excel 2000 for Windows; Visual Quick Start Guide, Peachpit Press (HF 5548.4 M523 L36

    1999 c.1) 15

    Palani Murugappan (2002) EXCEL; Functions for the daily serve, Venton publishing (HF 5548.4. M523 P36

    2002 c.1)

    THANK YOU

    http://nercrd/psu.edu/TRED/index.htmlhttp://nercrd/psu.edu/TRED/index.html
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    When LQ = 1 (Self-Sufficiency) the local economy is the same as the share of that industry inthe national economy

    --In this situation, a given industrys share of.

    --Local production is assumed to bejust sufficient to meet local demand, so all of theemployment in this industry is considered Non-Basic.

    When LQ < 1 (Net Imports)

    --In this situation, a given industrys share of the local economy is less than the share of thatindustry in the national economy.

    --Local production is assumed to be insufficient to meet local demand, so all of thisemployment is considered Non-Basic.

    When LQ > 1 (Net Exports)

    --In this situation, a given industrys share of the local economy is greater than the share of

    that industry in the national economy.--Local employment is concentrated in these industries (relative to the nation) and istherefore assumed to exceed local demandand any excess production is exported.

    --With an LQ > 1, that proportion of the industry that accounts for this excess production isconsidered Basic Employment.