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Research On Critical Factors Influencing Renewable Adoption In Pakistan Under Decision Making Framework

Posted on:2021-10-27Degree:DoctorType:Dissertation
Country:ChinaCandidate:Gul JabeenFull Text:PDF
GTID:1482306305953059Subject:Business management
Abstract/Summary:PDF Full Text Request
Since the adoption of renewable energy generation technologies is a complicated phenomenon having a variety of multidimensional factors,it prompts the researchers around the globe to examine those factors.This dissertation has focused the critical influence factors of adoption and utilization of renewable energy generation technologies in behavioral framework.First,this dissertation examines the factors influencing the consumers'intention to utilize renewable energy generation technologies for domestic purpose.This analysis finds to discourse this task by focusing on the essential dynamics affecting the embracement and acceptance of Renewable energy generation technologies and by examining the degree to which they can perform a specific role in a local framework.The conceptual mechanism of planned behavior theory by incorporating other integral factors was established.The main innovation in this regard was to accommodate the novel factor of lack of electricity access in the remote areas in the theory of planned behavior.On the basis of a comprehensive study of literature,it was identified that aspects like lack of electricity access in remote areas,cost,awareness,environmental concern,environmental knowledge,relative advantage,subjective norms,perceived behavioral control and attitudinal construct might affect consumers' intention to take up Renewable energy generation technologies in Pakistan.Furthermore,relative advantage,perceived behavioral control,lack of electricity access,subjective norm,and attitudinal construct of the consumer are having a positive impact on the intention of using Renewable energy generation technologies.Conversely,awareness,environment knowledge,and environmental concern all having not worth mentioning the impact on intention,while cost has a negative impact.Second,this dissertation has investigated the role of critical influence factors,based on households' preferences as well as socioeconomic and infrastructural parameters,in the utilization of biogas generation technology.The main innovation in this context was to introduce two new factors called cooking as utilization mode and the health risk factor.In this regard,among households' preference-based influence factors,cooking as utilization mode imparted a positive and significant influence on the biogas generation technology utilization.It implicated that cooking was found to be the dominant preference of households to utilize the biogas generation technology.Moreover,the health risk factor was exposed to be important in biogas generation technology utilization.It may be because people give weight to their increase in health risk factors may lead to an increase in biogas generation technology utilization.Similarly,amongst demographic influence factors,the age of the respondent,which is the head of the household as well,demonstrated the inverted U-shaped,which implicated that young households are more inclined to utilize biogas generation technology.Further,the households having female as household head imparted a positive and significant influence on biogas generation technology utilization.It implicated the dual nature of the role of gender in promotion of biogas generation technology utilization:(i)it emphasizes the role of woman empowerment in the choice of biogas generation technology,and also,(ii)it is likely that as the females need to spend extra time in fuel collection,so they want to switch to biogas generation technology.Third,this dissertation attempts to investigate the factors influencing consumers'willing to buy green energy in the modified green perceived value(GPV)framework.In this regard,this work has developed a modified version of the GPV framework through the inclusion of some new dimensions involving benefits dimension,cost dimension,investment risk dimension,and substitute solution to load shedding dimension to the standard GPV framework.The results showed the 'pushing dimensions' involved functional dimension,conditional dimension,benefits dimension,and substitute solution to load shedding dimension,which are expected to promote the consumers' willingness to buy green energy.Further,the 'inhibiting dimensions' included cost dimension and investment risk dimension,which are likely to inhibit consumers' willingness to buy green energy.Moreover,social dimension and emotional dimension are kept in the'neutral dimensions,' which are expected to extend no contribution to consumers'willingness to buy green energy.These new dimensions included functional dimension and substitute solution to load shedding,which were associated with the quality of green energy technologies and green energy technologies as substitute solution options in times of load shedding.Finally,this dissertation examines the critical factors affecting consumers' intention to purchase renewable energy in the hybrid behavioral framework in the face of consideration of rural-urban heterogeneity.The novel contribution of this part of the dissertation was to capture the rural-urban heterogeneity regarding the influence of new dimensions on consumers' intention to purchase renewable energy.The empirical results are categorized into three types of components:(i)the‘driving components' contained perceived functional component,perceived conditional component,perceived benefits component,and green solution to power blackout,which are probable to foster the consumers' intention to purchase renewable energy;(ii)the 'inhibitory components' are comprised of perceived cost component and perceived investment risk component,which are predicted to inhibit consumers' intention to purchase renewable energy;and(iii)perceived social component and perceived emotional component are retained in the'neutrality components,' which are expected to extend no contribution to consumers'intention to purchase renewable energy in the case of urban regions as well as in the whole sample.However,they acted as drivers in the case of rural regions of Punjab.It exposed the rural-urban heterogeneity in terms of the diverse role of perceived social component and perceived emotional component in urban and rural regions.The results also disclosed heterogeneity in terms of size of effect which is observed to be larger inurban regions than rural regions.
Keywords/Search Tags:Theory of planned behavior, Roger's model of innovation diffusion, green perceived value, structural equation modeling, propensity score matching
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