Survey on Impact of Load shedding on Life in Urban areas of Multan [pps]

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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.

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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

Presented By:

Muhammad Safdar [49]

Objectives & Methodology

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.

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.

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

Presented By:

ASIF REHMAN [36]

Findings of Research Survey

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.

Age & Gender Contingency Chart

0

5

10

15

20

25

30

35

15-20 20-25 25-30 30+

Female

Male

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

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

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

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

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

Presented By:

ARIF Masood [50]

Limitations & Recommendations

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+

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

Limitations of Research

Small sample size. Inefficient sampling technique. Time Factor.

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.