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How Does Social Capital Promote Willingness to Pay for Green Energy? A Social Cognitive Perspective

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  • Lingchao Huang

    (Geshan Holding Group, Dongyang 322100, China)

  • Wei Li

    (School of Economics and Management, Taiyuan University of Technology, Taiyuan 030024, China)

Abstract

Individual willingness to pay (WTP) for green energy plays a vital role in mitigating climate change. Based on social cognitive theory (SCT), which emphasizes the dynamic interaction among individual cognition, behavior and the environment, this study develops a theoretical model to identify factors influencing green energy WTP. The study is based on 585 valid questionnaire responses from urban areas in China and uses Structural Equation Modeling (SEM) to reveal the linear causal path. Meanwhile, fuzzy-set Qualitative Comparative Analysis (fsQCA) is utilized to identify the combined paths of multiple conditions leading to a high WTP, making up for the limitations of SEM in explaining complex mechanisms. The SEM analysis shows that social trust, social networks, and social norms have a significant positive impact on individual green energy WTP. And this influence is further transmitted through the mediating role of environmental self-efficacy and expectations of environmental outcomes. The FsQCA results identified three combined paths of social capital and environmental cognitive conditions, including the Network–Norm path, the Network–efficacy path and the Network–Outcome path, all of which can achieve a high level of green energy WTP. Among them, the social networks are a core condition in every path and a key element for enhancing the high green energy WTP. This study promotes the expansion of SCT, from emphasizing the linear role of individual cognition to focusing on the configuration interaction between social structure and psychological cognition, provides empirical evidence for formulating differentiated social intervention strategies and environmental education policies, and contributes to sustainable development and the green energy transition.

Suggested Citation

  • Lingchao Huang & Wei Li, 2025. "How Does Social Capital Promote Willingness to Pay for Green Energy? A Social Cognitive Perspective," Sustainability, MDPI, vol. 17(15), pages 1-23, July.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:15:p:6849-:d:1711683
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    1. Deborah R. Compeau & Christopher A. Higgins, 1995. "Application of Social Cognitive Theory to Training for Computer Skills," Information Systems Research, INFORMS, vol. 6(2), pages 118-143, June.
    2. Fédes Rijn & Ephraim Nkonya & Adewale Adekunle, 2015. "The impact of agricultural extension services on social capital: an application to the Sub-Saharan African Challenge Program in Lake Kivu region," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 32(4), pages 597-615, December.
    3. Nikoleta Jones, 2010. "Investigating the influence of social costs and benefits of environmental policies through social capital theory," Policy Sciences, Springer;Society of Policy Sciences, vol. 43(3), pages 229-244, September.
    4. Jasper R. de Vries & Eva van der Zee & Raoul Beunen & Rianne Kat & Peter H. Feindt, 2019. "Trusting the People and the System. The Interrelation Between Interpersonal and Institutional Trust in Collective Action for Agri-Environmental Management," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    5. Phillips, Keri L. & Hine, Donald W. & Phillips, Wendy J., 2019. "How projected electricity price and personal values influence support for a 50% renewable energy target in Australia," Energy Policy, Elsevier, vol. 129(C), pages 853-860.
    6. David A. Siegel, 2009. "Social Networks and Collective Action," American Journal of Political Science, John Wiley & Sons, vol. 53(1), pages 122-138, January.
    7. He, Pan & Lovo, Stefania & Veronesi, Marcella, 2022. "Social networks and renewable energy technology adoption: Empirical evidence from biogas adoption in China," Energy Economics, Elsevier, vol. 106(C).
    8. Shizheng Tan & Wei Li & Xiaoguang Liu & Yaqi Wang, 2025. "Influence of institutional perception factors on household waste separation behaviour: evidence from Ganzhou, China," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 68(7), pages 1761-1787, June.
    9. Ratinen, Mari, 2019. "Social embeddedness of policy actors. The failure of consumer-owned wind energy in Finland," Energy Policy, Elsevier, vol. 128(C), pages 735-743.
    10. Sundt, Swantje & Rehdanz, Katrin, 2015. "Consumers' willingness to pay for green electricity: A meta-analysis of the literature," Energy Economics, Elsevier, vol. 51(C), pages 1-8.
    11. Inês, Campos & Guilherme, Pontes Luz & Esther, Marín-González & Swantje, Gährs & Stephen, Hall & Lars, Holstenkamp, 2020. "Regulatory challenges and opportunities for collective renewable energy prosumers in the EU," Energy Policy, Elsevier, vol. 138(C).
    12. Dienes, Christian, 2015. "Actions and intentions to pay for climate change mitigation: Environmental concern and the role of economic factors," Ecological Economics, Elsevier, vol. 109(C), pages 122-129.
    13. Abbasi, Kashif Raza & Shahbaz, Muhammad & Zhang, Jinjun & Irfan, Muhammad & Alvarado, Rafael, 2022. "Analyze the environmental sustainability factors of China: The role of fossil fuel energy and renewable energy," Renewable Energy, Elsevier, vol. 187(C), pages 390-402.
    14. Hojnik, Jana & Ruzzier, Mitja & Fabri, Stephanie & Klopčič, Alenka Lena, 2021. "What you give is what you get: Willingness to pay for green energy," Renewable Energy, Elsevier, vol. 174(C), pages 733-746.
    15. Alberini, Anna & Bigano, Andrea & Ščasný, Milan & Zvěřinová, Iva, 2018. "Preferences for Energy Efficiency vs. Renewables: What Is the Willingness to Pay to Reduce CO2 Emissions?," Ecological Economics, Elsevier, vol. 144(C), pages 171-185.
    16. Qinyuan Wan & Wencui Du, 2022. "Social Capital, Environmental Knowledge, and Pro-Environmental Behavior," IJERPH, MDPI, vol. 19(3), pages 1-17, January.
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