research design case impact of public awareness on increasing the usage of ren ener

8/8/2019 Research Design Case Impact of Public Awareness on Increasing the Usage of Ren Ener

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RESEARCH PROJECT

IMPACT OF INCREASD PUBLIC

AWARENESS ON THE USAGE OF

SOLAR PRODUCTS

PREPARED BY

Mr. SAMBIT MOHAPATRA

Mr. SUNIL DAS

Mr. SUSHIL SINGH

Mr. NARESHBHAI BHATT

SCHOOL OF ENERGY MANAGEMENT

MANAGEMENT DEVELOPMENT INSTITUTE, GURGAON

FOR USE BY “MINISTRY OF NEW & RENEWABLE ENRGY”

INTELLECTUAL PROPERTY “DO NOT COPY”



CONTENTS

1. Why Solar Study

2. Objective, Research question, Research Design and Hypothesis

3. Question 1 “ factors responsible for creating Public awareness”4. Variables For Question 1

5. Detailed Analysis of Samples using SPSS tool.

6. Inference for Question 1

7. Question 2 “ factors responsible for increasing usage of solar

products”

8. Variables For Question 2

9. Detailed Analysis of Samples using SPSS tool.

10. Inference for Question 2

11. Impact of increased Public awareness on Sales of Solar Products

12. Conclusion



WHY SOLAR STUDY

Energy is the prime mover of all the development process. With the advent of globalization, development process is finally ignited. India is now the eleventh largest

economy in the world, fourth in terms of purchasing power. It is poised to make

tremendous economic strides over next ten years, with significant economic developmentalready in planning stage. This development is going to accelerate the demand of energy.

With rapid rise in the price of fossil fuels and the anticipated shortage, there is a need to

develop some sustainable resource. Renewable sources are perennial in nature and hencecan be relied upon for sustainable development. Fortunately, India is blessed with a

variety of Renewable Energy sources, the main ones being biomass, biogas, solar, wind,

and small hydro power. Municipal and industrial wastes can also be useful sources of energy, but are basically different forms of biomass.

India has the distinction of being the only country in the world to have an exclusive

Ministry dealing with new and Renewable Energy sources. During the last two and a half decades there had been a vigorous pursuit of activities relating to the research,

development, trial and induction of a variety of Renewable Energy technologies for use

in different sectors.

The Electricity Act 2003 contains several provisions to promote the accelerated

development of power generation from non- conventional sources. It provides that co-

generation and generation of electricity for renewable sources would be promoted by theSERCs by providing suitable measures for connectivity with grid and sale of electricity to

any person and also by specifying, for purchase of electricity for such sources, a %age of

the total consumption of electricity in the area of a distribution licensee.

There has been a growing awareness of the benefits of Renewable Energy, mainly on

account of sustained public awareness generation campaigns. an outlay was provided

under the X plan to provide electrification to around 25,000 remote unelectrified villages

and hamlets by 2007. The government has set a target of installing 15% of the additional power generation capacity in the country through grid-interactive renewable power by

2012. The present grid connected renewable energy based installed capacity is 17173.90

MW whereas off-grid installed capacity is 420.32 MWeq as on June 30, 2010.

NationalSolarMission

Under the National Plan of Climate Change, eight National Missions representing multi-

pronged long term and integrated strategy for achieving key goals in the context of climate change have been proposed. National Solar Mission is one of them. The mainobjective of the Mission is to establish India as a global leader in solar energy through:

• 20,000 MW of installed solar generation capacity by 2020 and 100,000 MW by

2030 or 10-12% of total power generation capacity estimated for that year

• Solar power cost reduction to achieve grid tariff parity by 2020

• Achieve parity with coal based thermal power generation by 2030

• 4-5 GW of installed solar manufacturing capacity by 2017.



Inspite of numerous campaigns the growth of solar power ( Photo voltaics and Heating )

has been minimal, as illustrated by the below statistics

New & Renewable Energy Annual achievement 2010-11 and Cumulative achievements ason 30.06.2010

No.Sources /Systems

Achievements during 2010-11 (upto 30.06.2010)

Cumulative Achievements (up to30.06.2010)

I. Power From Renewables

A. Grid-interactive renewable power

Solar Power 2.00MW 12.28 MW

B. Off-Grid/Distributed Renewable Power (including Captive/CHP Plants)

Solar PV Power Plants 0.0 MWp 2.92 MWp

II. Decentralized Energy Systems

1 Solar Lantern nos. 7,97,344 nos.

2 SPV Street Lighting System nos. 1,19,634 nos.

3 SPV Pumps nos. 7,334 nos.

4 Solar Water Heating – Collector Area 3.53 Mln. Sq.m.

Mweq. = Megawatt equivalent; MW = Megawatt; kW = kilowatt; kWp = kilowatt peak; sq. m. =square meter

As taken from Min. of New and renewable Energy Website

That makes us to analyze whether Increasing public awareness actually contributes to theIncreased sales / usage of Solar products. This has formed the basis of our research study.



Objective: To find the impact of Public awareness on use of Solar Energy in India

Research Question: What is the impact of Public awareness on use of Solar

Energy

Null Hypothesis: Public awareness has no impact on use of Solar Energy

Alternate Hypothesis: Public awareness increases the use of Solar Energy

Question 1What are the factors responsible for increasing public awareness on Solar Energy ?

Question 2What factors contribute in increasing the usage of Solar Energy?

RESEARCH DESIGN :

Exploratory research design was used due to non availability of secondary data wrtPublic awareness on Renewable energy and factors contributing to sales / usage of solar Products.



Question 1

What are the factors responsible for increasing public awareness on Solar Energy ?

1 Print & Electronic Media

2 Internet

3 Educating school & college students as a part of curriculum

4 Roadshows/Movies/Documentaries

5 Solar Product demonstration and display in localities

6 Competitions/quizzes on solar energy

7 Free distribution of the solar products to under privilaged

8 Using solar energy for all the street lights

9 Mandatory use of solar energy in industry for lighting & heating requirement

10 Use of solar energy at public places.

11 Hoardings/Banners displaying potential of solar energy12 Organising seminar/Trade fair/Exhibitions on Sloar Energy

13 Short term programs/Vocational courses/Workshops for LIG & MIG people

14 Setting up NGO's and public bodies to educate people

15 National level action plan on creating public awareness

16 Creating employment opportunities by developing SS Enterprises in Solar sector

17 Foreign Collaborations to learn awareness enhancement techniques



ANALYSIS OF QUESTION 1

STEPS FOLLOWED IN THE ANALYSIS

1. Having collected fifty seven samples for the question, the data was fed into SPSS.

2. The means of the samples for individual variables was observed.

3. Cut off of the means was taken to be 3 and non contributing variables were

removed and varimax rotation done.

4. From the rotated component matrix individual constructs with their variables were

noted and reliability testing was undertaken.

5. In the reliability testing constructs having ‘ALPHA’ value less than 0.6 were

removed and were not considered as contributing constructs.

6. The constructs were generated and named.

7. Correlation was checked between individual constructs.

8. Then all the constructs were taken to generate a super construct which wouldresemble our research question “What are the factors responsible for increasing

public awareness on solar Energy”

9. Regression was done assuming the super construct as dependant variable and

constructs as independent variable to evaluate the contribution of each construct

in the super construct “factors responsible for increasing public awareness onsolar Energy”



STEP 1 MEAN EVALUATIONDescriptive Statistics

N Minimum Maximum MeanStd. Deviation

V1.Print/Electronic Media 57 1 5 3.65 1.11

V2.Internet 57 1 5 3.21 1.29

V3.Educating school & college students as a part of

curriculum

57 1 5 3.84 1.18

V4.Roadshows/Movies/Documentaries 57 1 5 3.25 1.11

V5.Solar Product demonstration and display inlocalities

57 1 5 3.65 1.04

V6.Competitions/quizzes on solar energy 57 1 5 2.70 .94

V7.Free distribution of the solar products to under privilaged

57 1 5 3.02 1.04

V8.Using solar energy for all the street lights 57 1 5 3.68 .98

v9.Mandatory use of solar energy in industry for lighting & heating requirement

57 2 5 3.75 .95

V10.Use of solar energy at public places. 57 1 5 3.89 1.01

V11.Hoardings/Banners displaying potential of solar energy

57 1 5 3.30 .94

V12.Organising seminar/Trade fair/Exhibitions onSloar Energy

57 1 5 3.09 .91

V13.Short term programs/Vocationalcourses/Workshops for LIG & MIG people

57 1 5 2.98 .81

V14.Setting up NGO's and public bodies to educatepeople

57 1 5 3.07 1.00

V15.National level action plan on creating publicawareness

57 1 5 3.51 .97

V16.Creating employment opportunities by developingSS Enterprises in Solar sector

57 1 5 3.30 .96

V17.Foreign Collaborations to learn awarenessenhancement techniques

57 1 5 2.81 .97

Valid N (listwise) 57

- From the above table variables V6,V13 & V17 were removed on account of lower

means.



STEP 2 FACTOR ANALYSIS

- Subsequently factor analysis was done and rotated component matrix was

generated with ‘suppression of absolute values below 0.6’.Rotated Component Matrix

Component

1 2 3 4 5

V8.Using solar energy for all the street lights .878

V10.Use of solar energy at public places. .875

v9.Mandatory use of solar energy in industry for lighting & heatingrequirement

.615

V7.Free distribution of the solar products to under privilaged

V5.Solar Product demonstration and display in localities .791

V4.Roadshows/Movies/Documentaries .730

V16.Creating employment opportunities by developing SS Enterprises inSolar sector

.624

V3.Educating school & college students as a part of curriculum .615

V1.Print/Electronic Media .794

V2.Internet .772

V15.National level action plan on creating public awareness .892V14.Setting up NGO's and public bodies to educate people .847

V12.Organising seminar/Trade fair/Exhibitions on Sloar Energy .839

V11.Hoardings/Banners displaying potential of solar energy

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.a Rotation converged in 13 iterations.

STEP 3

- Reliability testing was done for the four factors (or constructs ) generated above

and fifth factor being left, since it had a single variable.STEP 4

- In this step only three constructs were taken

- V8,V10 & V9- V3,V4,V5 & V16

- V15 & V14

- The construct containing variables V1 & V2 was left out due to lower reliability of ‘Alpha = 0552’.

- Aforementioned three constructs were generated and named as follows:

- V8,V10 & V9 : In Public notice

- V3,V4,V5 & V16 : Solar Education- V15 & V14 : Policy Initiatives

- Then correlation was checked between individual factors using ‘Pearson

Correlation 2 tailed test’. It was observed that high correlation exists between FAC 1 (In

Public notice ) and Fac2 (Solar Education) as can be seen from the chart below.



Correlations

fac 1 reviewed fac2 reviewed fac 3 revised

fac 1 reviewed Pearson Correlation 1.000 .475** .198

Sig. (2-tailed) . .000 .139

N 57 57 57

fac2 reviewed Pearson Correlation .475** 1.000 .175

Sig. (2-tailed) .000 . .194N 57 57 57

fac 3 revised Pearson Correlation .198 .175 1.000

Sig. (2-tailed) .139 .194 .

N 57 57 57

** Correlation is significant at the 0.01 level (2-tailed).

STEP 5 GENERATION OF SUPER FACTOR ‘ PUBLIC AWARENESS’

- Combining the three aforementioned factors a super factor was generated. The

objective being to observe the impact & contribution of three constructs on thesuper construct by using regression tool as illustrated below:

Variables Entered/Removedb

Policy

Initiatives,

Solar

Education,

In Public

noticea

. Enter

Model

1

Variables

Entered

Variables

Removed Method

All requested variables entered.a.

Dependent Variable: PUBLICAb.

Model Summary

1.000a 1.000 1.000 1.309E-08

Model

1

R R Square

Adjusted

R Square

Std. Error of

the Estimate

Predictors: (Constant), Policy Initiatives, Solar

Education, In Public notice

a.

ANOVAb

20.446 3 6.815 4.1E+16 .000a

9.080E-15 53 1.713E-16

20.446 56

Regression

Residual

Total

Model

1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), Policy Initiatives, Solar Education, In Public noticea.

Dependent Variable: PUBLICAb.



Coefficientsa

2.426E-16 .000 .000 1.000

.333 .000 .463 1.4E+08 .000

.333 .000 .442 1.4E+08 .000

.333 .000 .483 1.7E+08 .000

(Constant)

In Public notice

Solar Education

Policy Initiatives

Model1

B Std. Error

Unstandardized

Coefficients

Beta

Standardi

zed

Coefficien

ts

t Sig.

Dependent Variable: PUBLICAa.

The equation thus formed

Public awareness = 0.463 X In Public Notice + 0.442 X solar Education. + 0.483 X

Policy Initiatives + 1.309x10-8 +2.426x10-16

INFERENCE

- Bringing solar products to public notice and Solar Education (i.e., factors for

creating public awareness) have a significant correlation.

- From the regression analysis, To find the contribution of individual factors to the

concept “Increasing Public Awareness” it has been established that almost all the

factors contribute significantly to the concept. However max contribution is donePolicy initiatives.



Question 2

What factors contribute in increasing the usage of Solar Energy?

1 Interest free loan to farmers for procuring solar equipments

2 giving subsidies to industries for solar energy implemention3 A law, abiding industries to generate certain amount of renewable energy

4 Stricter norms for industries to regulate CO2 Emissions

5 No free power to farmers

6 Minimal Maintenance and repairs requirement for Solar Products(lighting and heating)

7 Ease of use for Solar Products

8 Negligible Risk in using Solar Products(Shocks / injury)

9 payback period for Solar Products is fast

10 The Solar Products and Solar energy will last for ever

11 Monetary benefits are possible under CDM scheme

12 You become an environmentally sensitive consumer of energy

13 Country's / state's energy policy

14 Reducing the costs of Solar products

15 By ensuring prompt availability of solar products

16 Townships/housing complexes are coming up in remote locations

17 political motivation

18 Pumping funds on R & D for improving solar product's efficiency

19 Facilitating technology trasnfer from Developed Nations

20 Training and skill upgradation of selected people to serve the Solar energy Market

21 Government giving wasteland to setup Solar plants

22 Conventional fuel consumtion will be reduced

23 Inflow of Foreign funds24 Releif against increased power cuts

25 Conventional power is getting costlier day by day

26 Option to choose between grid/solar power (TOD metering Scheme)

27 Ability to sell power



ANALYSIS OF QUESTION 2

STEPS FOLLOWED IN THE ANALYSIS

1. Having collected fifty seven samples for the question, the data was fed into SPSS.

2. The means of the samples for individual variables was observed.3. Cut off of the means was taken to be 3 and non contributing variables were

removed and varimax rotation done.

4. From the rotated component matrix individual constructs with their variables werenoted and reliability testing was undertaken.

5. In the reliability testing constructs having ‘ALPHA’ value less than 0.6 were

removed and were not considered as contributing constructs.6. The constructs were generated and named.

7. Correlation was checked between individual constructs.

8. Then all the constructs were taken to generate a super construct which wouldresemble our research question “What are the factors responsible increasing the

usage of solar products”9. Regression was done assuming the super construct as dependant variable and

constructs as independent variable to evaluate the contribution of each constructin the super construct “factors responsible for increasing usage of solar Products”



STEP 1 MEAN EVALUATIONDescriptive Statistics

N Minimum Maximum Mean Std. Deviation

V1.Interest free loan to farmers for procuring solar equipments

57 1 5 3.53 1.14

V2.giving subsidies to industries for solar energy

implemention

57 1 5 3.54 1.18

V3.A law, abiding industries to generate certain amount of renewable energy

57 2 5 3.95 .72

V4.Stricter norms for industries to regulate CO2Emissions

57 1 5 3.53 .97

V5.No free power to farmers 57 1 5 2.98 1.26

V6.Minimal Maintenance and repairs requirement for Solar Products(lighting and heating)

57 1 5 3.18 1.05

V7.Ease of use for Solar Products 57 1 5 3.42 1.07

V8.Negligible Risk in using Solar Products(Shocks /injury)

57 1 5 3.60 1.19

V9.payback period for Solar Products is fast 57 1 5 3.56 1.10

V10.The Solar Products and Solar energy will last for ever 57 1 5 3.40 1.12

V11.Monetary benefits are possible under CDM scheme 57 1 5 3.39 .94V12.You become an environmentally sensitive consumer of energy

57 1 5 3.16 1.07

V13.Country's / state's energy policy 57 1 5 3.67 1.06

V14.Reducing the costs of Solar products 57 2 5 4.02 .86

V15.By ensuring prompt availability of solar products 57 1 5 3.61 1.06

V16.Townships/housing complexes are coming up inremote locations

57 1 5 3.25 1.02

V17.political motivation 57 1 5 3.04 1.13

V18.Pumping funds on R & D for improving solar product's efficiency

57 1 5 3.46 1.07

V19.Facilitating technology trasnfer from DevelopedNations

57 1 5 3.33 .99

V20.Training and skill upgradation of selected people toserve the Solar energy Market

57 1 5 3.51 .95

V21.Government giving wasteland to setup Solar plants 57 1 5 3.51 .98

V22.Conventional fuel consumtion will be reduced 57 1 5 3.37 1.17

V23.Inflow of Foreign funds 57 1 5 3.09 1.07

V24.Releif against increased power cuts 57 1 5 3.51 1.04

V25.Conventional power is getting costlier day by day 57 2 5 3.65 .83

V26.Option to choose between grid/solar power (TODmetering Scheme)

57 2 5 3.47 .97

V27Ability to sell power 57 1 5 3.46 1.25

Valid N (listwise) 57

- From the above table variables V5 were removed on account of lower means.

STEP 2 FACTOR ANALYSIS

- Subsequently factor analysis was done and rotated component matrix was

generated with ‘suppression of absolute values below 0.6’.



Rotated Component Matrix

Component

1 2 3 4 5 6 7 8 9

V2.giving subsidies to industries for solar energyimplemention .754

V1.Interest free loan to farmers for procuring solar equipments

.753

V26.Option to choose between grid/solar power (TODmetering Scheme)

V13.Country's / state's energy policy

V27Ability to sell power

V11.Monetary benefits are possible under CDM scheme .840

V10.The Solar Products and Solar energy will last for ever .756

V19.Facilitating technology trasnfer from Developed Nations

V24.Releif against increased power cuts .767

V20.Training and skill upgradation of selected people to

serve the Solar energy Market

.757

V16.Townships/housing complexes are coming up inremote locations

.675

V18.Pumping funds on R & D for improving solar product'sefficiency

.763

V14.Reducing the costs of Solar products .608

V17.political motivation

V25.Conventional power is getting costlier day by day

V3.A law, abiding industries to generate certain amount of renewable energy

.862

V21.Government giving wasteland to setup Solar plants

V4.Stricter norms for industries to regulate CO2 Emissions

V15.By ensuring prompt availability of solar products -.844

V12.You become an environmentally sensitive consumer of energy

.748

V6.Minimal Maintenance and repairs requirement for Solar Products(lighting and heating)

.841

V7.Ease of use for Solar Products .752

V23.Inflow of Foreign funds .793

V22.Conventional fuel consumtion will be reduced

V9.payback period for Solar Products is fast .864

V8.Negligible Risk in using Solar Products(Shocks / injury) .610

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.a Rotation converged in 18 iterations.

It can be observed from the above table the 6th construct had a negative loading, this

loading was transformed into a positive value using SPSS.STEP 3

- Reliability testing was done for 7 factors (or constructs ) generated above and 5th ,

8th factor being left out, since they had a single variables.STEP 4

- In this step only 5 constructs which proved out to be reliable (i.e., with ALPHA

value > 0.6 ) were taken



- V2,V1

- V11,V10

- V24 ,V20 & V16-V7, V6

- V12, V15

- The constructs containing variables- V18 & V14

- V9,V8

was left out due to lower reliability of ‘Alpha’.- Aforementioned five constructs were generated and named as follows:

- V2,V1 – Solar Incentive

- V11,V10 – Solar Economies

- V24 ,V20 & V16 – Solar Availability & Reliability- V7, V6 - Ease in opern and maint.

- V12, V15 – Solar Product versatility

- Then correlation was checked between individual factors using ‘Pearson

Correlation 2 tailed test’. It was observed that correlation exists between Solar availability & Reliability and solar Econmies as can be seen from the chart below.

Correlations

Solar Incentives

Solar Economies

Solar Availability

&Releiabilty

Ease inoper and

manit

Solar Product

versatiltiy

Solar Incentives Pearson Correlation 1.000 .102 .044 .204 .251

Sig. (2-tailed) . .450 .745 .128 .059

N 57 57 57 57 57

Solar Economies Pearson Correlation .102 1.000 .362** .118 -.024

Sig. (2-tailed) .450 . .006 .381 .861

N 57 57 57 57 57

Solar Availability&Releiabilty

Pearson Correlation .044 .362** 1.000 -.080 -.065

Sig. (2-tailed) .745 .006 . .553 .633

N 57 57 57 57 57

Ease in oper andmanit

Pearson Correlation .204 .118 -.080 1.000 -.142

Sig. (2-tailed) .128 .381 .553 . .290

N 57 57 57 57 57

Solar Productversatiltiy

Pearson Correlation .251 -.024 -.065 -.142 1.000

Sig. (2-tailed) .059 .861 .633 .290 .

N 57 57 57 57 57


STEP 5 GENERATION OF SUPER FACTOR ‘Increasing usage of solar products’



- Combining the three aforementioned factors a super factor was generated. The

objective being to observe the impact & contribution of three constructs on the

super construct by using regression tool as illustrated below:Model Summary

Model R R SquareAdjusted RSquare

Std. Error of the

Estimate

1 1.000 1.000 1.000 .0000

a Predictors: (Constant), Solar Products Versatility, Solar Economies, Solar Sector R & D, Solar Incentive, Solar Availability & Reliabilty

ANOVA

Model Sum of Squares

df MeanSquare

F Sig.

1 Regression

12.389 5 2.478 . .

Residual .000 51 .000Total 12.389 56

a Predictors: (Constant), Solar Products Versatility, Solar Economies, Solar Sector R & D, Solar Incentive, Solar Availability & Reliabiltyb Dependent Variable: Increased Usage of Solar ProductsCoefficients

UnstandardizedCoefficients

StandardizedCoefficients

t Sig.

Model B Std. Error Beta

1 (Constant) -9.790E-16 .000 . .

Solar Incentive .200 .000 .429 . .

Solar Economies .200 .000 .385 . .

Solar Availability &Reliabilty

.200 .000 .340 . .

Ease in opern and

maint

.200 .000 .393 . .

Solar ProductsVersatility

.200 .000 .396 . .

a Dependent Variable: Increased Usage of Solar Products

The equation thus formed

Increased Usage of Solar Products = 0.429 X Solar Incentive + 0.385 X solar Economies. +

0.340 X Soalr Availability and reliability + 0.393 X Ease in operation and + 0.396 X

Solar product Versatility -9.790x10-16

INFERENCE

- No Significant correlation was established between any of the five factors for the

Concept “Increased usage of Solar products”.



- From the regression analysis, To find the contribution of individual factors to the

concept “Increased usage of Solar products” it has been established that almost all

the factors contribute significantly to the concept. However max contribution isdone Solar Incentive.

Impact of increased Public awareness on Sales/ usage of Solar Products

The Three factors from concept “Increasing Public awareness” are

- In public notice- Solar Education

- Policy Initiatives

These factors will serve as the independent factors for our regression analysis to help usin establishing their contribution to “Increased usage of solar Products”

The Five factors from concept “Increased usage of solar Products”

- Solar Incentive– Solar Economies

– Solar Availability & Reliability- Ease in opern and maint.

– Solar Product versatility

Each of the above factor will be treated as a dependant variable for the regressionanalysis which is as follows:

Regression

Variables Entered/Removedb

policy

Initiatives,

Solar

Education,

In public

noticea

. Enter

Model1

Variables

Entered

Variables

Removed Method

All requested variables entered.a.

Dependent Variable: Solar Incentivesb.

Model Summary

.249a .062 .009 1.0036

Model

1

R R Square

Adjusted

R Square

Std. Error of

the Estimate

Predictors: (Constant), policy Initiatives, Solar

Education, In public notice

a.



ANOVAb

3.542 3 1.181 1.172 .329a

53.388 53 1.007

56.930 56

Regression

Residual

Total

Model1

Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), policy Initiatives, Solar Education, In public noticea.

Dependent Variable: Solar Incentivesb.

Coefficientsa

2.460 .794 3.100 .003

6.119E-02 .183 .051 .334 .740

.285 .191 .226 1.489 .143

-4.73E-02 .157 -.041 -.301 .764

(Constant)

In public notice

Solar Education

policy Initiatives

Model

1

B Std. Error

Unstandardized

Coefficients

Beta

Standardi

zed

Coefficien

ts

t Sig.

Dependent Variable: Solar Incentivesa.

- Above regression analysis was carried out with all the three independent variables

and Solar Incentives as the dependant variable. It is observed that no significantcontribution is done by the independent variables as illustrated by “ significance =

0.329” which should be < 0.05 for 95 % confidence interval.

- Similarly for the other Dependant factors regression analysis was carried out

trying to find the independent factors contribution to each. But significance levelfor all the dependant factors was greater than 0.05.



Correlations

In publicnotice

Solar Education

policyInitiatives

Solar Incentives

Solar Economies

Solar Availability

&Releiabilty

Ease inoper and

manit

SProd

versa

In public

notice

Pearson

Correlation

1.000 .475** .198 .150 .082 .065 .175 .

Sig. (2-tailed)

. .000 .139 .265 .543 .631 .193 .

N 57 57 57 57 57 57 57

Solar Education

PearsonCorrelation

.475** 1.000 .175 .243 .109 .066 .117 .

Sig. (2-tailed)

.000 . .194 .069 .419 .625 .386 .

N 57 57 57 57 57 57 57

policyInitiatives

PearsonCorrelation

.198 .175 1.000 .009 -.006 -.003 -.108 .

Sig. (2-tailed)

.139 .194 . .950 .965 .983 .422 .

N 57 57 57 57 57 57 57Solar Incentives

PearsonCorrelation

.150 .243 .009 1.000 .102 .044 .204 .

Sig. (2-tailed)

.265 .069 .950 . .450 .745 .128 .

N 57 57 57 57 57 57 57

Solar Economies

PearsonCorrelation

.082 .109 -.006 .102 1.000 .362** .118 -.

Sig. (2-tailed)

.543 .419 .965 .450 . .006 .381 .

N 57 57 57 57 57 57 57

Solar Availability

&Releiabilty

PearsonCorrelation

.065 .066 -.003 .044 .362** 1.000 -.080 -.

Sig. (2-tailed)

.631 .625 .983 .745 .006 . .553 .

N 57 57 57 57 57 57 57

Ease inoper and

manit

PearsonCorrelation

.175 .117 -.108 .204 .118 -.080 1.000 -.

Sig. (2-tailed)

.193 .386 .422 .128 .381 .553 . .

N 57 57 57 57 57 57 57

Solar Product

versatiltiy

PearsonCorrelation

.025 .081 .028 .251 -.024 -.065 -.142 1.

Sig. (2-tailed)

.851 .551 .838 .059 .861 .633 .290

N 57 57 57 57 57 57 57




CONCLUSION The null hypothesis was proved. We were not able to establish a correlation

between “increased public awareness” and “Increased usage of Solar Products”

It can also be inferred that creating / increasing public awareness will not bring

about an increased usage for solar products. Other factors would play a dominantrole as Incentives, Policy changes, Environmental norms etc.

We were able to evaluate the contributions made by individual factors to

“increased public awareness” and “Increased usage of Solar Products”

. Prominent Factors contributing to public awareness- Policy initiatives.

Prominent Factors contributing to increased usage – Solar Incentive.

INTELLECTUAL PROPERTY OF “SAMBIT MOHAPATRA”DO NOT REPRODUCE OR COPY.

research design case impact of public awareness on increasing the usage of ren ener

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