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The Peer Effects of Residents’ Carbon Emission Behavior: An Empirical Analysis in China

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  • Congxian He

    (Soviet Area Revitalization Institute, Jiangxi Normal University, Nanchang 330022, China
    Research Base for Revitalization and Development of Old Revolutionary Base Areas of Jiangxi Province, Jiangxi Normal University, Nanchang 330032, China)

  • Ruiqing Shi

    (School of Marxism, Jiangxi Normal University, Nanchang 330022, China)

  • Huwei Wen

    (School of Economics and Management, Nanchang University, Nanchang 330031, China)

Abstract

The responsible low-carbon behavior of household residents is a crucial factor for the purpose of achieving carbon neutrality in the economy and society. Based on the peer effects theory, this study constructs a fixed-effects model to empirically analyze the existence, heterogeneity, and action mechanism of peer effects in household carbon emission behavior, which uses panel data from the China Household Finance Survey (CHFS). The results indicate that peer effects have a significantly positive impact on residents’ carbon emission behavior, and the results are verified by the robustness test in various ways. Further mechanism tests show that peer effects influence carbon emission behavior through methods including the learning imitation mechanism and competitive imitation mechanism. In addition, we find that peer effects have different impacts on residents’ carbon emission behavior in varying regions, income levels, education levels, and ages groups. This study aims to embed residents’ carbon emission behavior into the strong relationship between surrounding groups, raise consumers low-carbon awareness through publicity, guidance, and group interaction, form a low-carbon atmosphere for the whole society, and contribute to the realization of Sustainable Development Goals.

Suggested Citation

  • Congxian He & Ruiqing Shi & Huwei Wen, 2024. "The Peer Effects of Residents’ Carbon Emission Behavior: An Empirical Analysis in China," Sustainability, MDPI, vol. 16(21), pages 1-21, October.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:21:p:9300-:d:1506999
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    References listed on IDEAS

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    1. Mark T. Leary & Michael R. Roberts, 2014. "Do Peer Firms Affect Corporate Financial Policy?," Journal of Finance, American Finance Association, vol. 69(1), pages 139-178, February.
    2. Bin, Shui & Dowlatabadi, Hadi, 2005. "Consumer lifestyle approach to US energy use and the related CO2 emissions," Energy Policy, Elsevier, vol. 33(2), pages 197-208, January.
    3. Francisco Alvarez-Cuadrado & Jose Maria Casado & Jose Maria Labeaga, 2016. "Envy and Habits: Panel Data Estimates of Interdependent Preferences," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(4), pages 443-469, August.
    4. Alba Lugilde & Roberto Bande & Dolores Riveiro, 2019. "Precautionary Saving: A Review Of The Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 33(2), pages 481-515, April.
    5. Leila Niamir & Gregor Kiesewetter & Fabian Wagner & Wolfgang Schöpp & Tatiana Filatova & Alexey Voinov & Hans Bressers, 2020. "Assessing the macroeconomic impacts of individual behavioral changes on carbon emissions," Climatic Change, Springer, vol. 158(2), pages 141-160, January.
    6. Chen Ling & Anquan Zhang & Xiaopeng Zhen, 2018. "Peer Effects in Consumption Among Chinese Rural Households," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(10), pages 2333-2347, August.
    7. Fumo, Nelson & Rafe Biswas, M.A., 2015. "Regression analysis for prediction of residential energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 332-343.
    8. Mark J. Browne & Annette Hofmann & Andreas Richter & Sophie-Madeleine Roth & Petra Steinorth, 2021. "Peer effects in risk preferences: Evidence from Germany," Annals of Operations Research, Springer, vol. 299(1), pages 1129-1163, April.
    9. Sule Alan & Martin Browning & Mette Ejrnæs, 2018. "Income and Consumption: A Micro Semistructural Analysis with Pervasive Heterogeneity," Journal of Political Economy, University of Chicago Press, vol. 126(5), pages 1827-1864.
    10. Vesterlund, Lise, 2003. "The informational value of sequential fundraising," Journal of Public Economics, Elsevier, vol. 87(3-4), pages 627-657, March.
    11. Zhang, Ying & Li, Ruotong & Zhao, Qiran & Fan, Shenggen, 2023. "The impact of peer effect on students' consumption of sugar-sweetened beverages- instrumental variable evidence from north China," Food Policy, Elsevier, vol. 115(C).
    12. Xuechen Leng & Jinfeng Han & Yingcan Zheng & Xiaoyong Hu & Hong Chen, 2021. "The Role of a “Happy Personality” in the Relationship of Subjective Social Status and Domain-Specific Satisfaction in China," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(4), pages 1733-1751, August.
    13. Enrico Moretti, 2011. "Social Learning and Peer Effects in Consumption: Evidence from Movie Sales," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(1), pages 356-393.
    14. He, Congxian & Zhou, Can & Wen, Huwei, 2024. "Improving the consumer welfare of rural residents through public support policies: A study on old revolutionary areas in China," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    15. Gonzalo Maturana & Jordan Nickerson, 2019. "Teachers Teaching Teachers: The Role of Workplace Peer Effects in Financial Decisions," The Review of Financial Studies, Society for Financial Studies, vol. 32(10), pages 3920-3957.
    16. Balabanis, George & Stathopoulou, Anastasia, 2021. "The price of social status desire and public self-consciousness in luxury consumption," Journal of Business Research, Elsevier, vol. 123(C), pages 463-475.
    17. Ahmad, Najid & Du, Liangsheng, 2017. "Effects of energy production and CO2 emissions on economic growth in Iran: ARDL approach," Energy, Elsevier, vol. 123(C), pages 521-537.
    18. Kondo, Ayako & Shoji, Masahiro, 2019. "Peer effects in employment status: Evidence from housing lotteries," Journal of Urban Economics, Elsevier, vol. 113(C).
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