Factors responsible for solar PV adoption at household level: A case of Lahore, Pakistan

Qureshi, Tahir Masood; Ullah, Kafait; Arentsen, Maarten J.

doi:10.1016/j.rser.2017.04.020

Cited by 106 publications

(113 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The study of Khandker et al discussed that for every 100 Taka increase in price, there was a decrease in the probability of utilization by 2 percent [20]. The result was also highlighted by Qureshi et al that high initial cost and inability to finance SPV systems prevented all the respondents from using these technologies [21]. This could be explained by the fact that as the price of SPV technology increases by a unit price, probability of decision on utilization of SPV technology decreases by respondents.…”

Section: Outlook Of Spv Price By Respondentsmentioning

confidence: 97%

The Status and Determinants of Solar Photovoltaic Technology Utilization by Rural Households in Gozamin Woreda, Amhara National Regional State, Ethiopia

Alehegn¹

2019

IJEES

View full text Add to dashboard Cite

Solar Photovoltaic technology has been advanced in the world as a renewable energy source many years ago. The progress of the technology is due to its social, economic and environmental benefits. However, utilization of solar photovoltaic technology by rural households in Ethiopia is a recent phenomenon with low rates of use. Hence, this study was conducted to meet the aim of exploring the status and determinants of solar photovoltaic technology utilization by rural households in Gozamin woreda. Three kebeles were purposively selected to conduct the study. Simple random and stratified sampling methods were used to get representative samples. Primary data and secondary information were also collected from households and reports, magazines, journals, etc. A total of 190 representative household samples were selected. Binary logit model was used to analyze the correlation between utilization of solar photovoltaic technology and explanatory variables. Descriptive statistics was also conducted to analyze the functionality, patterns and constraints of SPV technologies. The result of descriptive statistics showed that all the diffused technologies were functional. Despite this, 23.4 percent of SPV technologies fail to function once or twice per month due to weather conditions and technical incapability. Lighting was the major pattern of use by all (60) users. Additionally, 78.3 and 18.3 percent of the users use the technology for mobile charging and making petty trades respectively. The major constraints of SPV utilization were awareness gap, price increment and SPV providers shortage comprising of 70, 26.7 and 3.3 percent respectively. Moreover, the result of the binary logit model showed that age and income affected utilization of solar photovoltaic technology significantly with (P<0.01 and P<0.1) respectively. Similarly, wealth status, awareness creations made, providers of the technology, house quality and price of the technology also affected utilization significantly (P<0.05). Conversely, family size, agricultural land size, education level, market access, human capital and quality of technology explanatory variables were assumed to affect utilization, but they do not affected utilization of the technology. Suggesting distribution, financial and government institutions to make awareness, encourage more individuals to be provider of SPV technologies and avail long term credit access in order for the technologies to be bought.

show abstract

Section: Outlook Of Spv Price By Respondentsmentioning

confidence: 97%

The Status and Determinants of Solar Photovoltaic Technology Utilization by Rural Households in Gozamin Woreda, Amhara National Regional State, Ethiopia

Alehegn¹

2019

IJEES

View full text Add to dashboard Cite

show abstract

“…The decision by a household to adopt an RSPS might be affected by various factors. These factors include endogenous elements (e.g., desire to conserve energy and technology awareness) and exogenous elements (e.g., market system, cost, and characteristics of PV systems) [37]. An exploratory survey [38] among the individuals in the Republic of Ireland; showed that factors such as upfront cost, the complexity of the solar PV system and the interference of the solar PV system with the day-to-day living style were critical.…”

Section: Consumer Behavior and Innovation Diffusionmentioning

confidence: 99%

Factors Influencing Social Perception of Residential Solar Photovoltaic Systems in Saudi Arabia

Alrashoud

Tokimatsu

2019

Sustainability

View full text Add to dashboard Cite

Saudi Arabia has taken major steps to shift from an oil-centered to more environmentally-focused economy. One approach made recently is to enable households to possess and generate electricity by using small-scale residential solar photovoltaic systems (RSPSs). However, the number of applications to install this technology in residences is significantly low. Social acceptance of solar energy is essential for a successful energy transition. Hence, the present study aims to examine factors that may potentially motivate or impede individuals from purchasing RSPSs based on the diffusion of innovations theory. A cross-sectional, web-based survey is conducted including 1498 participants from the five main regions of Saudi Arabia. Results revealed a good cognition level in relation to solar energy, where the majority (64–83%) of respondents are aware of the benefits. An overwhelming proportion of the respondents (97%) associate RSPSs with a significantly positive image, with no significant variation in the acceptance or rejection rates among the five areas covered by the survey (p = 0.1). The results also show high statistical significance for the differences between RSPS acceptors and rejecters in all innovation attributes (p < 0.001). However, the perception of relative advantage has a higher correlation with acceptance RSPSs. These perceived advantages were of rather long-term nonfinancial benefits, such as environmental protection against global warming and provision of unlimited power, rather than the revenue related to direct costs benefits. The study also revealed that the installation cost was the most significant barrier to adopting the RSPS, which can be a focus for RSPS dissemination policies.

show abstract

“…Recent work in this field includes for PV [7]- [19], for EV [20]- [33], for HP [34]- [39]. By using mostly data obtained from surveys, a wide range of variables is assessed in various works, which can mainly be identified as socio-economic or demographic variables, technical variables relating to the technology itself, variables relating to building characteristics, or households' attitudes to and knowledge of environmental topics.…”

Section: A Related Work and Contributionmentioning

confidence: 99%

“…By using mostly data obtained from surveys, a wide range of variables is assessed in various works, which can mainly be identified as socio-economic or demographic variables, technical variables relating to the technology itself, variables relating to building characteristics, or households' attitudes to and knowledge of environmental topics. Some studies focus on the temporal adoption aspects, investigating key factors related to the evolution of adoption over time [7], [18], [21]- [24], [34]- [36], while other studies focus specifically on the determining factors between different customers and areas [8]- [13], [27]- [31]. Additionally for PV there are several studies that consider an integrated spatio-temporal model [15], [19].…”

Section: A Related Work and Contributionmentioning

confidence: 99%

Development and Implementation of Statistical Models for Estimating Diversified Adoption of Energy Transition Technologies

Bernards

Morren

Slootweg

2018

IEEE Trans. Sustain. Energy

View full text Add to dashboard Cite

Abstract-For efficient network investments, insight in the expected spatial spread of new load and generation units is of prime importance. This paper presents and applies a method to determine key factors for adoption of photovoltaics, electric vehicles and heat pumps. Using a logistic regression analysis the impact of geographical and socio-economic factors on adoption probabilities of these new energy technologies is quantified. Income level, average age and household composition are shown to be important factors. Additionally for photovoltaics, peer effects were also shown to significantly influence the likelihood of adoption. The implementation of the developed models and the achievable improvement in prediction accuracy is demonstrated by application to a scenario study based on historical data. The models can be incorporated in future energy scenarios to provide a probabilistic spatial forecast of future penetration levels of the mentioned technologies and identify key areas of interest.

show abstract

Factors responsible for solar PV adoption at household level: A case of Lahore, Pakistan

Cited by 106 publications

References 19 publications

The Status and Determinants of Solar Photovoltaic Technology Utilization by Rural Households in Gozamin Woreda, Amhara National Regional State, Ethiopia

The Status and Determinants of Solar Photovoltaic Technology Utilization by Rural Households in Gozamin Woreda, Amhara National Regional State, Ethiopia

Factors Influencing Social Perception of Residential Solar Photovoltaic Systems in Saudi Arabia

Development and Implementation of Statistical Models for Estimating Diversified Adoption of Energy Transition Technologies

Contact Info

Product

Resources

About