Electricity generation from the high-speed wind of the spillway in a hydroelectric power station

Malik, Muhammad Suleman

doi:10.1080/15567036.2020.1739784

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…However, most of the researches focused upon the household and commercial users residing in the urban centers (Kowalska-Pyzalska, 2019; Şenol, H., & Zenk, 2020; Villamor et al, 2020). But it has been observed that in some rural communities the pace of adoption of production-consumption of sustainable energy is greater than in urban centers (Han & Wu, 2018) especially in areas where the access of electricity is not available to the communities (Malik, 2020) and in rural places where consumers experience frequent electricity supply breakdown (Sapkota et al, 2014). Despite the huge potential, there is scarcity of literature which can help to understand consumer behavior of rural communities behind the adoption, production and consumption of sustainable energy (Han & Wu, 2018;Clausen & Rudolph, 2020;Gorb et al, 2020;Barbier, 2020).…”

Section: Introductionmentioning

confidence: 99%

The rural consumer adoption of sustainable energy: a PLS-SEM-ANN approach of conceptual model development and cross-country validation of Pakistan and Malaysia

Yin

Ahmed

Yong

et al. 2022

Environ Sci Pollut Res

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Sustainable and alternative energy sources of biofuel and solar power panel have been revolutionizing the lives and economy of many countries. However, these changes mainly occur in the urban areas and the rural population section has long been ignored by policy makers and government in the provision of energy. It is only recently that solar and biofuel are nally making in road to provide cheap and clean energy sources to rural population. As a result, literature on consumer behavior of rural population towards sustainable energy sources are still very scarce. The present research aims to ful l this gap by developing a conceptual model to investigate the adoption of solar power and biofuel energy resources in the cross-cultural setting of Malaysia and Pakistan. The data was collected from the rural areas of Pakistan and Malaysia. The two-stage data analysis method of partial least square structural equation modeling (PLS-SEM) and arti cial neural network (ANN) have been applied to satisfy both linear and nonlinear regression assumption respectively. The results show that consumer in rural areas of Pakistan are willing and possess intention to adopt both biofuel and solar power for commercial and domestic use. Additionally, the results con rm that Branding, Economic and Altruistic factors are important in yielding intention to use towards biofuel and solar power panel in Pakistan which are validated by the results obtained in Malaysia. Other factors such as climate change awareness, retailer services quality and ease of use are also important. The results offer wide ranging theoretical and managerial implications.

show abstract

Section: Introductionmentioning

confidence: 99%

The rural consumer adoption of sustainable energy: a PLS-SEM-ANN approach of conceptual model development and cross-country validation of Pakistan and Malaysia

Yin

Ahmed

Yong

et al. 2022

Environ Sci Pollut Res

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Simulation Study to Evaluate the Hybrid Photovoltaic - Thermoelectric Energy Generation System with Heat Recovery Mechanism

Malik

Arbab

Khan

et al. 2021

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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The Rural Consumer Adoption of Sustainable Energy: A PLS-SEM-ANN Approach of Conceptual Model Development and Cross Country Validation of Pakistan and Malaysia

Yin

Ahmed

Yong

et al. 2022

Preprint

View full text Add to dashboard Cite

Sustainable and alternative energy sources of biofuel and solar power panel have been revolutionizing the lives and economy of many countries. However, these changes mainly occur in the urban areas and the rural population section has long been ignored by policy makers and government in the provision of energy. It is only recently that solar and biofuel are finally making in road to provide cheap and clean energy sources to rural population. As a result, literature on consumer behavior of rural population towards sustainable energy sources are still very scarce. The present research aims to fulfil this gap by developing a conceptual model to investigate the adoption of solar power and biofuel energy resources in the cross-cultural setting of Malaysia and Pakistan. The data was collected from the rural areas of Pakistan and Malaysia. The two-stage data analysis method of partial least square structural equation modeling (PLS-SEM) and artificial neural network (ANN) have been applied to satisfy both linear and non-linear regression assumption respectively. The results show that consumer in rural areas of Pakistan are willing and possess intention to adopt both biofuel and solar power for commercial and domestic use. Additionally, the results confirm that Branding, Economic and Altruistic factors are important in yielding intention to use towards biofuel and solar power panel in Pakistan which are validated by the results obtained in Malaysia. Other factors such as climate change awareness, retailer services quality and ease of use are also important. The results offer wide ranging theoretical and managerial implications.

show abstract

Electricity generation from the high-speed wind of the spillway in a hydroelectric power station

Cited by 3 publications

References 35 publications

The rural consumer adoption of sustainable energy: a PLS-SEM-ANN approach of conceptual model development and cross-country validation of Pakistan and Malaysia

The rural consumer adoption of sustainable energy: a PLS-SEM-ANN approach of conceptual model development and cross-country validation of Pakistan and Malaysia

Simulation Study to Evaluate the Hybrid Photovoltaic - Thermoelectric Energy Generation System with Heat Recovery Mechanism

The Rural Consumer Adoption of Sustainable Energy: A PLS-SEM-ANN Approach of Conceptual Model Development and Cross Country Validation of Pakistan and Malaysia

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