应对气候变化与“双碳”目标

社会互动模式对个人碳账户参与意愿的影响

  • 孙莎 ,
  • 鲁营 ,
  • 马茜
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  • 1.中国石油大学(华东)经济管理学院,山东 青岛 266580;
    2.山西财经大学平台经济研究院,山西 太原 030006;
    3.数据要素创新与经济决策分析山西省重点实验室,山西 太原 030006
孙莎,博士生,主要研究方向为消费者低碳行为。E-mail:s13015433682@163.com。
鲁营,博士生,主要研究方向为新能源投资行为。E-mail:lysci89@163.com。

收稿日期: 2025-02-10

  修回日期: 2025-06-07

  网络出版日期: 2026-06-05

基金资助

山西省高等学校哲学社会科学研究项目“数字新基建、创新知识流动与包容性绿色全要素生产率提升:链式机制和空间效应”(批准 号:2024W060); 分析山西省重点实验室开发基金“数据要素驱动背景下山西省数字经济与能源体系协同水平测度与优化政策优化研究”(批 准号:2025-ZZ-14)

Impact of social interaction patterns on willingness to participate in personal carbon accounts

  • SUN Sha ,
  • LU Ying ,
  • MA Qian
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  • 1. College of Economics and Management, China University of Petroleum (East China), Qingdao Shandong 266580, China;
    2. Institute of Platform Economy, Shanxi University of Finance and Economics, Taiyuan Shanxi 030006, China;
    3. Shanxi Key Laboratory of Data Factor Innovation and Economic Decision Analysis, Shanxi University of Finance and Eco-nomics, Taiyuan Shanxi 030006, China

Received date: 2025-02-10

  Revised date: 2025-06-07

  Online published: 2026-06-05

摘要

个人碳账户自推出以来,公众对其参与积极性不高的问题尚未得到根本解决,并且成为制约个人碳账户在全国范围内普及和消费端降碳的关键因素。该研究基于社会互动视角,采用刺激-有机体-反应理论作为理论分析框架,分析了不同类型的社会互动对公众个人碳账户参与意愿的影响效应及作用机制,并结合913份有效问卷调查数据开展实证检验。研究发现:①直接效应分析表明,被动互动能够显著提升中国公众的个人碳账户参与意愿,但现阶段主动互动对公众参与意愿的促进作用尚未得到验证。②公众对个人碳账户在经济、享乐、成就、环境4个方面的感知价值均对其参与意愿有正向驱动作用,但成就价值和享乐价值对其参与意愿起到的激励作用最大。③机制分析表明,社会互动通过提升公众对个人碳账户的多维感知价值进而激发其参与意愿。对比效应强度发现,主动互动情形下经济价值扮演着关键渠道角色,而被动互动情形下成就价值则成为社会互动影响公众个人碳账户参与意愿的核心途径。④调节作用分析表明,关系强度和关系质量在社会互动影响公众个人碳账户参与意愿的传导机制中起到显著的正向调节作用,即调节变量水平的提升能够进一步强化社会互动对感知价值的促进作用,以及感知价值在其中发挥的中介效应强度。区别于以往研究大多围绕个体心理因素提出解决策略,该研究揭示了社会互动也能有效缓解参与积极性不足的问题。这不仅为个人碳账户的推广和普及提供了决策依据,也为个人碳账户和社会互动相关文献补充了新的经验证据。

本文引用格式

孙莎 , 鲁营 , 马茜 . 社会互动模式对个人碳账户参与意愿的影响[J]. 中国人口·资源与环境, 2026 , 36(3) : 57 -67 . DOI: 10.12062/cpre.20250328

Abstract

Since the introduction of personal carbon accounts (PCAs), the problem of low public participation motivation in China has not yet been fundamentally resolved. This issue has become a key factor restricting the popularization of PCAs and carbon emission re-duction on the consumption side. Based on a social interaction perspective, this study empirically examined the impact of different types of social interactions on the public's willingness to participate in PCAs and its underlying mechanisms by adopting the Stimulus-Organism-Response model as the analytical framework and using data from 913 valid questionnaires. The results showed that: ①Direct effect analysis indicated that passive interaction could significantly enhance the Chinese public's willingness to participate in PCAs, whereas the facilitating effect of active interaction was not verified. ②The public's perceived values of PCAs in terms of economy, hedo-nism, achievement, and environment all had positive driving effects on their participation willingness, with achievement value and he-donic value playing the greatest motivating role. ③Mechanism analysis demonstrated that social interactions stimulated willingness to participate in PCAs by enhancing the public's multi-dimensional perceived values. A comparison of effect strengths found that econom-ic value played a key channel role in the case of active interaction, while achievement value became the core pathway in the case of pas-sive interaction. ④Moderating effect analysis showed that relationship strength and relationship quality played a significantly positive moderating role in the transmission mechanism of social interactions affecting willingness to participate, i.e., an increase in the level of the moderating variables can further strengthen the facilitating effect of social interactions on perceived values, as well as the strength of the mediating effect played by the perceived values. Different from previous studies that mostly focus on individual psychological fac-tors, this study reveals that social interaction can also effectively alleviate the problem of insufficient participation motivation. This not only provides a decision-making basis for the promotion and penetration of PCA in China, but also adds new empirical evidence to the literature on PCA and social interaction.

参考文献

[1] LIAN Y H,LIN X Y,LUO H Y,et al.Distribution characteristics and influencing factors of household consumption carbon emissions in China from a spatial perspective[J]. Journal of environmental management,2024,351:119564.
[2] 中共中央国务院关于全面推进美丽中国建设的意见[N/OL].(2023-12-27)[2025-04-02]. https://www.gov.cn/gongbao/2024/issue_11126/202401/content_6928805.html
[3] 中国国际低碳学院. 碳普惠 2023 年度调查报告[R]. 2024.
[4] 刘航. 碳普惠制:理论分析、经验借鉴与框架设计[J]. 中国特色社会主义研究,2018(5):86-94.
[5] 杨柳青青,宋程成. 政策设计视角下的政府主导型碳普惠模式研究[J]. 中国行政管理,2024(1):18-27.
[6] 卢乐书,姚昕言. 碳普惠制理论与制度框架研究[J]. 金融监管研究,2022(9):1-20.
[7] 景司琳,张波,臧元琨,等 .“双碳”目标下我国碳普惠制的探索与实践[J]. 中国环境管理,2023,15(5):35-42.
[8] TAN X P,WANG X Y,ZAIDI S H A. What drives public willing-ness to participate in the voluntary personal carbon-trading scheme: a case study of Guangzhou Pilot,China[J]. Ecological economics, 2019,165:106389.
[9] SI H Y,LI N,DUAN X,et al.Understanding the public's willingness to participate in the carbon generalized system of preferences(CG-SP):an innovative mechanism to drive low-carbon behavior in China[J]. Sustainable production and consumption,2023,38:1-12.
[10] TAO Y J,DUAN M S,DENG Z.Using an extended theory of planned behaviour to explain willingness towards voluntary carbon offsetting among Chinese consumers[J]. Ecological economics, 2021,185:107068.
[11] MANSKI C F.Economic analysis of social interactions[J]. Journal of economic perspectives,2000,14(3):115-136.
[12] 邓慧慧,赵家羚. 地方政府经济决策中的“同群效应”[J]. 中国工业经济,2018(4):59-78.
[13] 史雨星,秦国庆,赵敏娟,等. 邻里效应对牧户载畜率决策的影响:北方牧区的经验证据[J]. 中国人口·资源与环境,2022,32(1):155-167.
[14] 何圆,佘超,王伊攀. 社会互动对老年人消费升级的影响研究: 兼论广场舞的经济带动效应[J]. 财经研究,2021,47(6):124-138.
[15] 胡浩,王海燕,张沛莹. 社会互动与家庭创业行为[J]. 财经研究,2018,44(12):31-43.
[16] 李丁,丁俊菘,马双. 社会互动对家庭商业保险参与的影响:来自中国家庭金融调查(CHFS)数据的实证分析[J]. 金融研究, 2019(7):96-114.
[17] GILLINGHAM K T,BOLLINGER B.Social learning and solar pho-tovoltaic adoption[J]. Management science,2021,67(11):7091-7112.
[18] 左孝凡,康孟媛,陆继霞. 社会互动、互联网使用对农村居民生活垃圾分类意愿的影响[J]. 资源科学,2022,44(1):47-58.
[19] LI H,WANG Z H,ZHANG B.How social interaction induce energy-saving behaviors in buildings:interpersonal & passive interactions v.s. public & active interactions[J]. Energy economics,2023,118:106515.
[20] CHENG X,LONG R Y,WU F,et al.How social interaction shapes habitual and occasional low-carbon consumption behaviors:evi-dence from ten cities in China[J]. Renewable and sustainable ener-gy reviews,2023,182:113387.
[21] EUN C S,WANG L,XIAO S C.Culture and R2[J]. Journal of fi-nancial economics,2015,115(2):283-303.
[22] 方航,陈前恒. 社会互动效应研究进展[J]. 经济学动态,2020(5):117-131.
[23] LIU D Y,QI S T,XU T T.Visual observation or oral communica-tion:the effect of social learning on solar photovoltaic adoption in-tention in rural China[J]. Energy research & social science,2023, 97:102950.
[24] GRANOVETTER M.Economic action and social structure:the problem of embeddedness[J]. American journal of sociology, 1985,91(3):481-510.
[25] LI C Q,SHI Y X,NI Q,et al.Effects of social interactions and in-formation bias on the willingness to pay for transboundary basin ecosystem services[J]. Journal of environmental management, 2021,296:113233.
[26] LANE B W,DUMORTIER J,CARLEY S,et al.All plug-in elec-tric vehicles are not the same:predictors of preference for a plug-in hybrid versus a battery-electric vehicle[J]. Transportation re-search part D:transport and environment,2018,65:1-13.
[27] WOLSKE K S,GILLINGHAM K T,SCHULTZ P W.Peer influ-ence on household energy behaviours[J]. Nature energy,2020,5: 202-212.
[28] WANG J Q,LONG R Y,CHEN H,et al.How do parents and chil-dren promote each other:the impact of intergenerational learning on willingness to save energy[J]. Energy research & social science, 2022,87:102465.
[29] ZEITHAML V A.Consumer perceptions of price,quality,and val-ue:a means-end model and synthesis of evidence[J]. Journal of marketing,1988,52(3):2-22.
[30] 杨福霞,郑欣. 价值感知视角下生态补偿方式对农户绿色生产行为的影响[J]. 中国人口·资源与环境,2021,31(4):164-171.
[31] FU W Z,ZHOU Y,LI L L,et al.Understanding household electric-ity -saving behavior:exploring the effects of perception and cogni-tion factors[J]. Sustainable production and consumption,2021, 28:116-128.
[32] CHIU C M,WANG E T G,FANG Y H,et al. Understanding cus-tomers' repeat purchase intentions in B2C e-commerce:the roles of utilitarian value,hedonic value and perceived risk[J]. Information systems journal,2014,24(1):85-114.
[33] MI L Y,XU T,SUN Y H,et al.Playing Ant Forest to promote on-line green behavior:a new perspective on uses and gratifications[J]. Journal of environmental management,2021,278:111544.
[34] MEHRABIAN A,RUSSELL J A.An approach to environmental psychology[M]. Cambridge:MIT Press,1974.
[35] 王建军,王玲玉,王蒙蒙. 网络口碑、感知价值与消费者购买意愿:中介与调节作用检验[J]. 管理工程学报,2019,33(4):80-87.
[36] 孙娟,李艳军. 权力与公平:社会网络嵌入对农资零售商知识转移影响机理的实证研究:基于 SEM 的传统渠道和电商渠道情境的差异分析[J]. 管理工程学报,2019,33(4):10-18.
[37] JU Y Y.Complexity analysis about formation mechanism of resi-dents' value co-creation behavior in tourism communities:based on the social embeddedness perspective[J]. Journal of hospitality and tourism management,2022,53:100-109.
[38] 赵佩佩,张强强,钟逸伟,等. 社会网络嵌入对农户绿色防控技术采用的影响:基于技术认知的中介效应[J]. 资源科学,2022, 44(9):1865-1878.
[39] ZHOU L X,CHAN E,SONG H Y.Social capital and entrepreneur-ial mobility in early-stage tourism development:a case from rural China[J]. Tourism management,2017,63:338-350.
[40] WANG J,LIU B,TAO H.Evolution of entrepreneur social net-works in industrial clusters[J]. Management science,2007,28(4):169-174.
[41] 谢家平,刘鲁浩,梁玲,等. 农业社会企业价值网络协同机理: 社会嵌入视角的实证分析[J]. 财经研究,2017,43(10):83-96.
[42] ZHANG B,HU X,GU M.Promote pro-environmental behaviour through social media:an empirical study based on Ant Forest[J]. Environmental science & policy,2022,137:216-227.
[43] YIN J H,SHI S Q.Social interaction and the formation of resi-dents' low-carbon consumption behaviors:an embeddedness per-spective[J]. Resources,conservation and recycling,2021,164: 105116.
[44] ZHANG Y Y,HU N Y,YAO L L,et al.The role of social network embeddedness and collective efficacy in encouraging farmers' par-ticipation in water environmental management[J]. Journal of envi-ronmental management,2023,340:117959.
[45] HU X F,WANG S Y,ZHOU R T,et al.Policy driven or consumer trait driven:unpacking the EVs purchase intention of consumers from the policy and consumer trait perspective[J]. Energy policy, 2023,177:113559.
[46] 廖茂林 .社区融合对北京市居民生活垃圾分类行为的影响机制研究[J]. 中国人口·资源与环境,2020,30(5):118-126.
[47] 秦曼,杜元伟,万骁乐. 基于TPB-NAM 整合的海洋水产企业亲环境意愿研究[J]. 中国人口·资源与环境,2020,30(9):75-83.
[48] HAYES A F,SCHARKOW M.The relative trustworthiness of infer-ential tests of the indirect effect in statistical mediation analysis: does method really matter?[J]. Psychological science,2013,24(10):1918-1927.
[49] EDWARDS J R,LAMBERT L S.Methods for integrating modera-tion and mediation:a general analytical framework using moderat-ed path analysis[J]. Psychological methods,2007,12(1):1-22.
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