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A social network perspective on household cooking fuel transition: Evidence from China

Author

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  • Li, Hui
  • Mu, Wenyu
  • Chen, Tianqi
  • Wu, Jingwen

Abstract

This study aims to investigate the influence of social networks on household fuel transition. First, a k-means clustering model is employed to classify various types of social networks based on the structural and functional relationship characteristics. Second, a panel logit model is adopted to assess how social networks with distinctive properties affect cooking fuel transitions. Furthermore, the variations in social impacts among different fuel transition spans and modes are compared. Additionally, a heterogeneity analysis is carried out to identify how households respond to the differentiated impacts of social networks on the cooking fuel transition. The empirical findings demonstrate that the expansion of social networks speeds up the shift to cleaner cooking fuels. Compared to restricted social networks, family-oriented, outgoing and relatives-and-friends-open social networks significantly increase the probability of rural households adopting clean cooking fuels by 4.9, 7.0 and 9.3 percentage points, respectively. The fuel transition over time is frequently observed in households with outgoing, family-open and relatives-and-friends-open social networks, entailing a shift from firewood to gas and from firewood to electricity. Notably, as the duration of the transition extends, different social networks exhibit positive effects in a trend of initially rising and then gradually declining, typically reaching their peak during the 4-year interval fuel transition. Furthermore, the cooking fuel transition of high-income, small-scale households in rural China is worth more attention, as it is more sensitive to social networks with highly diverse ties and strongly stable structures. Finally, policy implications for promoting clean cooking transition from the perspective of social networks are proposed.

Suggested Citation

  • Li, Hui & Mu, Wenyu & Chen, Tianqi & Wu, Jingwen, 2024. "A social network perspective on household cooking fuel transition: Evidence from China," Energy Economics, Elsevier, vol. 131(C).
    • Handle: RePEc:eee:eneeco:v:131:y:2024:i:c:s0140988324000227
    DOI: 10.1016/j.eneco.2024.107314
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    References listed on IDEAS

    as
    1. Liu, Pihui & Han, Chuanfeng & Liu, Xinghua & Teng, Minmin, 2023. "Assessing the effect of nonfarm income on the household cooking energy transition in rural China," Energy, Elsevier, vol. 267(C).
    2. Srinivasan, Suchita & Carattini, Stefano, 2020. "Adding fuel to fire? Social spillovers in the adoption of LPG in India," Ecological Economics, Elsevier, vol. 167(C).
    3. Luo, Xi & Gao, Yaru & Liu, Xiaojun & Sun, Yongkai & Li, Na & Liu, Jianghua, 2023. "ACHRA: A novel model to study the propagation of clean heating acceptance among rural residents based on social networks," Applied Energy, Elsevier, vol. 333(C).
    4. Burke, Paul J. & Dundas, Guy, 2015. "Female Labor Force Participation and Household Dependence on Biomass Energy: Evidence from National Longitudinal Data," World Development, Elsevier, vol. 67(C), pages 424-437.
    5. Dongzagla, Alfred & Adams, Abdul-Moomin, 2022. "Determinants of urban household choice of cooking fuel in Ghana: Do socioeconomic and demographic factors matter?," Energy, Elsevier, vol. 256(C).
    6. Nan Sook Park & Yuri Jang & Beom S. Lee & Jung Eun Ko & William E. Haley & David A. Chiriboga, 2015. "An Empirical Typology of Social Networks and Its Association With Physical and Mental Health: A Study With Older Korean Immigrants," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 70(1), pages 67-76.
    7. Ma, Wanglin & Zheng, Hongyun & Gong, Binlei, 2022. "Rural income growth, ethnic differences, and household cooking fuel choice: Evidence from China," Energy Economics, Elsevier, vol. 107(C).
    8. 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.
    9. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    10. Kimberly S. Wolske & Kenneth T. Gillingham & P. Wesley Schultz, 2020. "Peer influence on household energy behaviours," Nature Energy, Nature, vol. 5(3), pages 202-212, March.
    11. 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).
    12. Junfu Zhang & Zhong Zhao, 2015. "Social-family network and self-employment: evidence from temporary rural–urban migrants in China," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-21, December.
    13. Chen, Qiu & Huang, Jikun & Mirzabaev, Alisher, 2022. "Does fuel price subsidy work? Household energy transition under imperfect labor market in rural China," Energy Economics, Elsevier, vol. 107(C).
    14. Li, Ting & Zhang, Yanlong, 2015. "Social network types and the health of older adults: Exploring reciprocal associations," Social Science & Medicine, Elsevier, vol. 130(C), pages 59-68.
    15. 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.
    16. Miguel Poblete-Cazenave & Shonali Pachauri & Edward Byers & Alessio Mastrucci & Bas Ruijven, 2021. "Global scenarios of household access to modern energy services under climate mitigation policy," Nature Energy, Nature, vol. 6(8), pages 824-833, August.
    17. Wen, Hong-xing & Wang, Chan & Nie, Pu-yan, 2021. "Acceleration of rural households’ conversion to cleaner cooking fuels: The importance and mechanisms of peer effects," Energy Policy, Elsevier, vol. 154(C).
    18. Qiang Wang & Jie Fan & Mei-Po Kwan & Kan Zhou & Guofeng Shen & Na Li & Bowei Wu & Jian Lin, 2023. "Examining energy inequality under the rapid residential energy transition in China through household surveys," Nature Energy, Nature, vol. 8(3), pages 251-263, March.
    19. Zheng, Linyi, 2023. "Impact of off-farm employment on cooking fuel choices: Implications for rural-urban transformation in advancing sustainable energy transformation," Energy Economics, Elsevier, vol. 118(C).
    20. Ai, Xian-Neng & Du, Yun-Fei & Li, Wei-Ming & Li, Hui & Liao, Hua, 2021. "The pattern of household energy transition," Energy, Elsevier, vol. 234(C).
    21. Zhang, Lingyue & Li, Hui & Chen, Tianqi & Liao, Hua, 2022. "Health effects of cooking fuel transition: A dynamic perspective," Energy, Elsevier, vol. 251(C).
    22. Zhu, Xiaodong & Zhu, Zheng & Zhu, Bangzhu & Wang, Ping, 2022. "The determinants of energy choice for household cooking in China," Energy, Elsevier, vol. 260(C).
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