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Analyzing the Impact of Internet Use on Peer Effects in Farmers’ Adoption of Clean Energy: Strengthening or Weakening?

Author

Listed:
  • Zeping Hu

    (School of Public Administration, Inner Mongolia University of Finance and Economics, Hohhot 010070, China)

  • Tianshu Zhang

    (School of Public Administration, Inner Mongolia University of Finance and Economics, Hohhot 010070, China)

  • Kaiyue Zhang

    (School of Public Administration, Inner Mongolia University of Finance and Economics, Hohhot 010070, China)

  • Xinran Li

    (School of Public Administration, Inner Mongolia University of Finance and Economics, Hohhot 010070, China)

Abstract

Enhancing farmers’ adoption of clean energy is crucial for promoting sustainable rural development and ecological environmental protection. It not only reduces the consumption of traditional fossil fuels, greenhouse gas emissions, and environmental pollution but also optimizes the structure of rural energy consumption, improves farmers’ quality of life, and supports the goal of building a green countryside. This paper investigates the impact of internet use on farmers’ adoption of clean energy and the associated peer effects, further exploring how internet use influences these peer effects. The analysis is based on data from the 2018 and 2020 waves of the China Family Panel Studies (CFPS). The study’s findings reveal that (1) farmers’ adoption of clean energy exhibits a significant peer effect, and internet use also has a significant positive impact on this adoption. Both the peer effect and internet use effectively enhance farmers’ clean energy utilization, a conclusion that holds even after robustness checks. (2) Internet use significantly strengthens the peer effect, particularly when it is used for social and entertainment purposes, where this reinforcing effect is most pronounced. (3) The peer effect, the impact of internet use on clean energy adoption, and the strengthening of the peer effect by internet use vary according to farmers’ geographical location and household income. These findings provide valuable insights and recommendations for improving policies aimed at promoting clean energy adoption among farmers, ultimately fostering its broader diffusion and application in rural areas.

Suggested Citation

  • Zeping Hu & Tianshu Zhang & Kaiyue Zhang & Xinran Li, 2024. "Analyzing the Impact of Internet Use on Peer Effects in Farmers’ Adoption of Clean Energy: Strengthening or Weakening?," Sustainability, MDPI, vol. 16(19), pages 1-21, September.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8429-:d:1487507
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    References listed on IDEAS

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    1. Madhusmita Dash & Bhagirath Behera & Dil Bahadur Rahut, 2018. "Understanding the factors that influence household use of clean energy in the Similipal Tiger Reserve, India," Natural Resources Forum, Blackwell Publishing, vol. 42(1), pages 3-18, February.
    2. Rezaei, Rohollah & Ghofranfarid, Marjan, 2018. "Rural households' renewable energy usage intention in Iran: Extending the unified theory of acceptance and use of technology," Renewable Energy, Elsevier, vol. 122(C), pages 382-391.
    3. Li, Yanjiao & Qing, Chen & Guo, Shili & Deng, Xin & Song, Jiahao & Xu, Dingde, 2023. "When my friends and relatives go solar, should I go solar too? —— Evidence from rural Sichuan province, China," Renewable Energy, Elsevier, vol. 203(C), pages 753-762.
    4. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    5. Babu, Suresh Chandra & Glendenning, Claire J. & Okyere, Kwadwo Asenso & Govindarajan, Senthil Kumar, "undated". "Farmers' information needs and search behaviors: Case study in Tamil Nadu, India," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126226, International Association of Agricultural Economists.
    6. Anderson, Lisa R & Holt, Charles A, 1997. "Information Cascades in the Laboratory," American Economic Review, American Economic Association, vol. 87(5), pages 847-862, December.
    7. Wang, Shubin & Sun, Shaolong & Zhao, Erlong & Wang, Shouyang, 2021. "Urban and rural differences with regional assessment of household energy consumption in China," Energy, Elsevier, vol. 232(C).
    8. Leo Van Hove, 1999. "Electronic money and the network externalities theory: lessons for real life," Netnomics, Springer, vol. 1(2), pages 137-171, October.
    9. Chunfang Yang & Changming Cheng & Nanyang Cheng & Yifeng Zhang, 2023. "Research on the Impact of Internet Use on Farmers’ Adoption of Agricultural Socialized Services," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    10. Susana B. Guerrero-Ocampo & José M. Díaz-Puente, 2023. "Social Network Analysis Uses and Contributions to Innovation Initiatives in Rural Areas: A Review," Sustainability, MDPI, vol. 15(18), pages 1-18, September.
    11. Angrist, Joshua D., 2014. "The perils of peer effects," Labour Economics, Elsevier, vol. 30(C), pages 98-108.
    12. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    13. Guta, Dawit Diriba, 2020. "Determinants of household use of energy-efficient and renewable energy technologies in rural Ethiopia," Technology in Society, Elsevier, vol. 61(C).
    14. Chang, Huayi & Heerink, Nico & Zhang, Junbiao & He, Ke, 2024. "Off-farm employment and household clean energy transition in rural China: A study based on a gender perspective," Energy, Elsevier, vol. 287(C).
    15. Nicole Schneeweis & Rudolf Winter-Ebmer, 2008. "Peer effects in Austrian schools," Studies in Empirical Economics, in: Christian Dustmann & Bernd Fitzenberger & Stephen Machin (ed.), The Economics of Education and Training, pages 133-155, Springer.
    16. Zhu Liu, 2016. "China?s Carbon Emissions Report 2016," Working Paper 468061, Harvard University OpenScholar.
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    Cited by:

    1. Ren, Zhong & Shahbaz, Muhammad & Zhong, Kaiyang, 2025. "Social networks, Internet use, and farmers' participation in clean heating," Energy, Elsevier, vol. 320(C).

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