survey on impact of load shedding on life in urban areas of multan [pps]
DESCRIPTION
Research survey report on Impact of Load shedding on Life in Urban areas of Multan [pps] [BS (acounting n finance) (2006-2010), Department of commerce, BZU Multan.TRANSCRIPT
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Presented By:
Arif Masood [50]Muhammad Safdar [49] Asif Rehman [36]
Research report on Impact of Load shedding on Life in Urban areas of
Multan
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Presented By:
Muhammad Safdar [49]
Objectives & Methodology
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Background of Research
In recent Past Pakistan has been victim of severe power shortage which has resulted in heavy load shedding. Reasons said to be as following,.
Poor Future Planning. Increasing demand in recent years but no increase in supply. No new projects in last 10 years. High petroleum prices to some extent.
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Objectives of Research
To determine how and to which extent load shedding has affected Life.
To determine actions taken in response of Load shedding.
To find out solutions which people are ready to take at personal level.
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Methodology [ Major Points]
Research – Basic in nature Population size: Residents of Multan Sample size: 58 Sampling technique: Convenient sampling Nature of Data collected: Primary Data Data collection Instrument: Questionnaire Data analyzing software: SPSS
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Presented By:
ASIF REHMAN [36]
Findings of Research Survey
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Findings of Research Report
Demographic Section
65 % Female and 35% Male. More than 80% were below 25 in age. Majority of Correspondents belonged to below 3000 and 3000-8000 category. 70% correspondents were Student, 21 % were Job holders, rest were from business and household category.
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Age & Gender Contingency Chart
0
5
10
15
20
25
30
35
15-20 20-25 25-30 30+
Female
Male
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Experienced Hours of Load Shedding
No concentration observed in response to this question possibly because of timing of survey.
05
10
1520
25
3035
Perc
enta
ge
below 2 2-4 hours 4-8 hours 8+ hours
Hours Range
Hours Of Load Shedding
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Bearable Hours of Load shedding For more than 80% of correspondents
bearable hours were either 0 or below 2.
0 20 40 60 80
0 hour
below 2
2-4 hours
4-8 hours
8+ hours
Bearable hours
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Adopted any alternative or Not?
40.6
000
18.8 40.6%
84.6% 15.4%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Yes
No UPS
Generator
Emergency Light
don’t Need
Need ONE
Ø 52% have adopted Ø 48% have NOT
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Affected Activities
46.6
63.8
36.2 36.2
3.40
10
20
30
40
50
60
70
Domestic Study\BIZ Rest\Shedule Enterntainment Other
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Solutions at personal level
48.3
62.1
32.8
5.2
0
10
20
30
40
50
60
70
Efficient Equipment Reduce wrong usage Innovative Solutions Other
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Presented By:
ARIF Masood [50]
Limitations & Recommendations
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Hypothesis Of Study
As income level increases, Number of bearable able hours decrease.
1.25
1.88
1 1.060.8
0
0.5
1
1.5
2
hours
below 3000 3000-8000 8000-15000 15000-25000 25000+
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Hypothesis was proved partially to be true. Category acted as intervening variable in between independent variable (income level) and Bearable able hours(Dependent Variable).
Income Level Category ..Bearable
Hours
Independent Variable Intervening Variable Dependent Variable
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Limitations of Research
Small sample size. Inefficient sampling technique. Time Factor.
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Recommendations
Government should facilitate people who are ready to take solutions at personal level by providing them technical guidance and by announcing incentives for them.
Government and Power supply authorities should schedule load shedding hours in such a way that it affects consumer least.
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