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Linking social-psychological factors with policy expectation: Using local voices to understand solar PV poverty alleviation in Wuhan, China

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  • Chen, Chien-fei
  • Li, Jiaxin
  • Shuai, Jing
  • Nelson, Hannah
  • Walzem, Allen
  • Cheng, Jinhua

Abstract

The Chinese government has established a photovoltaics poverty alleviation (PVPA) program to help reduce rural poverty and environmental inequality. However, there is a scarcity of detailed investigations into how social-psychological factors influence the rural poor's decision to adopt solar photovoltaics. The present study examines the local voices of low-income villagers in the Wuhan region towards the PVPA projects from a social-psychological perspective. While focusing on local villagers' opinions before the onset of the COVID-19 pandemic, our findings suggest that villagers' neighbors have the greatest influence on those who subequently adopt solar PV. Similarly, village agents play a crucial role in spreading information and creating a sense of trust, which is different than other countries' solar adoption. The common goals of improving the local community aesthetically, environmentally, and economically also increased villagers' adoption likelihood. These improvements boosted villagers' sense of pride, which, in a virtuous cycle, further encouraged participation in improving the community. Residents' fears were reduced through local social interactions which increased knowledge, such as village-wide technology demonstrations, conversations with local adopters, and town hall discussions with village leaders. However, --- the PVPA projects and skepticism about when or if they would receive promised government subsidies prevented many from adopting. These findings provide valuable implications for policymakers in China and other developing countries who wish to encourage renewable energy adoption after the pandemic.

Suggested Citation

  • Chen, Chien-fei & Li, Jiaxin & Shuai, Jing & Nelson, Hannah & Walzem, Allen & Cheng, Jinhua, 2021. "Linking social-psychological factors with policy expectation: Using local voices to understand solar PV poverty alleviation in Wuhan, China," Energy Policy, Elsevier, vol. 151(C).
    • Handle: RePEc:eee:enepol:v:151:y:2021:i:c:s030142152100029x
    DOI: 10.1016/j.enpol.2021.112160
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    as
    1. Jager, Wander, 2006. "Stimulating the diffusion of photovoltaic systems: A behavioural perspective," Energy Policy, Elsevier, vol. 34(14), pages 1935-1943, September.
    2. Parkins, John R. & Rollins, Curtis & Anders, Sven & Comeau, Louise, 2018. "Predicting intention to adopt solar technology in Canada: The role of knowledge, public engagement, and visibility," Energy Policy, Elsevier, vol. 114(C), pages 114-122.
    3. Zhao, Linlin & Zha, Yong & Zhuang, Yuliang & Liang, Liang, 2019. "Data envelopment analysis for sustainability evaluation in China: Tackling the economic, environmental, and social dimensions," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1083-1095.
    4. Chen, Kee Kuo, 2014. "Assessing the effects of customer innovativeness, environmental value and ecological lifestyles on residential solar power systems install intention," Energy Policy, Elsevier, vol. 67(C), pages 951-961.
    5. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    6. Li, Jiaxin & Wang, Zihan & Cheng, Xin & Shuai, Jing & Shuai, Chuanmin & Liu, Jing, 2020. "Has solar PV achieved the national poverty alleviation goals? Empirical evidence from the performances of 52 villages in rural China," Energy, Elsevier, vol. 201(C).
    7. Li, Yan & Zhang, Qi & Wang, Ge & McLellan, Benjamin & Liu, Xue Fei & Wang, Le, 2018. "A review of photovoltaic poverty alleviation projects in China: Current status, challenge and policy recommendations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 214-223.
    8. Liu, Sen & Dong, Zhiliang & Ding, Chao & Wang, Tian & Zhang, Yichi, 2020. "Do you need cobalt ore? Estimating potential trade relations through link prediction," Resources Policy, Elsevier, vol. 66(C).
    9. Liao, Chuan & Fei, Ding, 2019. "Poverty reduction through photovoltaic-based development intervention in China: Potentials and constraints," World Development, Elsevier, vol. 122(C), pages 1-10.
    10. Borchers, Allison M. & Xiarchos, Irene & Beckman, Jayson, 2014. "Determinants of wind and solar energy system adoption by U.S. farms: A multilevel modeling approach," Energy Policy, Elsevier, vol. 69(C), pages 106-115.
    11. Sarrica, Mauro & Biddau, Fulvio & Brondi, Sonia & Cottone, Paolo & Mazzara, Bruno M., 2018. "A multi-scale examination of public discourse on energy sustainability in Italy: Empirical evidence and policy implications," Energy Policy, Elsevier, vol. 114(C), pages 444-454.
    12. Wang, Zhaohua & Li, Yi & Wang, Ke & Huang, Zhimin, 2017. "Environment-adjusted operational performance evaluation of solar photovoltaic power plants: A three stage efficiency analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1153-1162.
    13. Shi, Guang-Ming & Bi, Jun & Wang, Jin-Nan, 2010. "Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs," Energy Policy, Elsevier, vol. 38(10), pages 6172-6179, October.
    14. Curtius, Hans Christoph, 2018. "The adoption of building-integrated photovoltaics: barriers and facilitators," Renewable Energy, Elsevier, vol. 126(C), pages 783-790.
    15. Noll, Daniel & Dawes, Colleen & Rai, Varun, 2014. "Solar Community Organizations and active peer effects in the adoption of residential PV," Energy Policy, Elsevier, vol. 67(C), pages 330-343.
    16. Balcombe, Paul & Rigby, Dan & Azapagic, Adisa, 2014. "Investigating the importance of motivations and barriers related to microgeneration uptake in the UK," Applied Energy, Elsevier, vol. 130(C), pages 403-418.
    17. Qi Li & Wanjiang Yang & Kai Li, 2018. "Role of Social Learning in the Diffusion of Environmentally-Friendly Agricultural Technology in China," Sustainability, MDPI, vol. 10(5), pages 1-12, May.
    18. Chen, Chien-fei & Zarazua de Rubens, Gerardo & Noel, Lance & Kester, Johannes & Sovacool, Benjamin K., 2020. "Assessing the socio-demographic, technical, economic and behavioral factors of Nordic electric vehicle adoption and the influence of vehicle-to-grid preferences," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    19. Cai, Desmond W.H. & Adlakha, Sachin & Low, Steven H. & De Martini, Paul & Mani Chandy, K., 2013. "Impact of residential PV adoption on Retail Electricity Rates," Energy Policy, Elsevier, vol. 62(C), pages 830-843.
    20. Korcaj, Liridon & Hahnel, Ulf J.J. & Spada, Hans, 2015. "Intentions to adopt photovoltaic systems depend on homeowners' expected personal gains and behavior of peers," Renewable Energy, Elsevier, vol. 75(C), pages 407-415.
    21. Zhang, Huiming & Xu, Zhidong & Sun, Chuanwang & Elahi, Ehsan, 2018. "Targeted poverty alleviation using photovoltaic power: Review of Chinese policies," Energy Policy, Elsevier, vol. 120(C), pages 550-558.
    22. Wang, Derek D. & Sueyoshi, Toshiyuki, 2017. "Assessment of large commercial rooftop photovoltaic system installations: Evidence from California," Applied Energy, Elsevier, vol. 188(C), pages 45-55.
    23. Braito, Michael & Flint, Courtney & Muhar, Andreas & Penker, Marianne & Vogel, Stefan, 2017. "Individual and collective socio-psychological patterns of photovoltaic investment under diverging policy regimes of Austria and Italy," Energy Policy, Elsevier, vol. 109(C), pages 141-153.
    24. Zhi, Qiang & Sun, Honghang & Li, Yanxi & Xu, Yurui & Su, Jun, 2014. "China’s solar photovoltaic policy: An analysis based on policy instruments," Applied Energy, Elsevier, vol. 129(C), pages 308-319.
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