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How to Treat Gossip in Internet Public Carbon Emission Reduction Projects?

Author

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  • Zhenghong Wu

    (College of Economics and Management, Civil Aviation University of China, Tianjin 300300, China)

  • Yang Sun

    (College of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China)

Abstract

Ant Forest is an internet public carbon emission reduction project jointly initiated by the government and enterprises and has successfully made a huge contribution to carbon reduction. As an online project, Ant Forest is more likely to receive public attention and discussion, which will undoubtedly incur a vast amount of gossip. In addition, unlike the offline acquaintance society, people need to frequently deal with heterogeneous interpersonal relationships online, which complicates the role of gossip. In this background, the impact of gossip on internet public carbon emission reduction projects and how to deal with gossip to increase public participation are important research questions. We study the above questions through public goods game. We propose three alternative coping mechanisms of gossip namely: punishment only (P O ), punishment with reputation compensation (P R ) and punishment with monetary compensation (P M ). The research results are shown as follows: Firstly, although the effect of gossip on advancing public participation in public carbon emission reduction projects under heterogeneous interpersonal relationships is inferior to that under homogeneous interpersonal relationship, it is undeniable that gossip also could effectively promote public to take part in internet public carbon emission reduction projects. Secondly, compared with the other two mechanisms, the mechanism P M is the most effective way to advance public participation in the internet public carbon emission reduction projects. Finally, there is optimal tolerance degree, penalty time and rebirth coefficient to maximize the promotion effect in the P M . Our research demonstrates that gossip has a positive significance for internet public emission reduction projects, and we also provide policy makers with corresponding suggestions to advance public participation.

Suggested Citation

  • Zhenghong Wu & Yang Sun, 2022. "How to Treat Gossip in Internet Public Carbon Emission Reduction Projects?," Sustainability, MDPI, vol. 14(19), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12809-:d:935856
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    References listed on IDEAS

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    1. Choi, Jung-Kyoo & Ahn, T.K., 2013. "Strategic reward and altruistic punishment support cooperation in a public goods game experiment," Journal of Economic Psychology, Elsevier, vol. 35(C), pages 17-30.
    2. Zhou, Tianwei & Ding, Shuai & Fan, Wenjuan & Wang, Hao, 2016. "An improved public goods game model with reputation effect on the spatial lattices," Chaos, Solitons & Fractals, Elsevier, vol. 93(C), pages 130-135.
    3. Francisco C. Santos & Marta D. Santos & Jorge M. Pacheco, 2008. "Social diversity promotes the emergence of cooperation in public goods games," Nature, Nature, vol. 454(7201), pages 213-216, July.
    4. Rivas, M. Fernanda & Sutter, Matthias, 2011. "The benefits of voluntary leadership in experimental public goods games," Economics Letters, Elsevier, vol. 112(2), pages 176-178, August.
    5. Zhen Wang & Lin Wang & Zi-Yu Yin & Cheng-Yi Xia, 2012. "Inferring Reputation Promotes the Evolution of Cooperation in Spatial Social Dilemma Games," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-9, July.
    6. Rui Cong & Bin Wu & Yuanying Qiu & Long Wang, 2012. "Evolution of Cooperation Driven by Reputation-Based Migration," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-7, May.
    7. Wang, Le & Chen, Tong & Wu, Zhenghong, 2021. "Promoting cooperation by reputation scoring mechanism based on historical donations in public goods game," Applied Mathematics and Computation, Elsevier, vol. 390(C).
    8. Wang, Xiaofeng & Chen, Xiaojie & Gao, Jia & Wang, Long, 2013. "Reputation-based mutual selection rule promotes cooperation in spatial threshold public goods games," Chaos, Solitons & Fractals, Elsevier, vol. 56(C), pages 181-187.
    9. Chunpeng Du & Danyang Jia & Libin Jin & Lei Shi, 2018. "The impact of neutral reward on cooperation in public good game," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 91(10), pages 1-6, October.
    10. Christoph Hauert & Michael Doebeli, 2004. "Spatial structure often inhibits the evolution of cooperation in the snowdrift game," Nature, Nature, vol. 428(6983), pages 643-646, April.
    11. Jillian J. Jordan & Moshe Hoffman & Paul Bloom & David G. Rand, 2016. "Third-party punishment as a costly signal of trustworthiness," Nature, Nature, vol. 530(7591), pages 473-476, February.
    12. Xueya Li & Tong Chen & Qiao Chen & Xiaoyang Zhang, 2020. "The impact of retention time of donation list on cooperation in public goods game," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 93(11), pages 1-8, November.
    13. Yang, Han-Xin & Chen, Xiaojie, 2018. "Promoting cooperation by punishing minority," Applied Mathematics and Computation, Elsevier, vol. 316(C), pages 460-466.
    14. Chen, Qiao & Chen, Tong & Wang, Yongjie, 2019. "Cleverly handling the donation information can promote cooperation in public goods game," Applied Mathematics and Computation, Elsevier, vol. 346(C), pages 363-373.
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    Cited by:

    1. Feng Xiong & Yue Su & Jingyue Wu, 2024. "Research on the Performance Management of Carbon Reduction by Local Governments from a Game Perspective—The Case of the Zhejiang Power Restriction Incident," Sustainability, MDPI, vol. 16(6), pages 1-32, March.

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