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浙江大学学报(人文社会科学版)  2022, Vol. 52 Issue (9): 57-68    DOI: 10.3785/j.issn.1008-942X.CN33-6000/C.2022.05.274
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居民绿色消费研究综述
周洁红1,2, 韩飞1,2, 魏珂1,2, 鄢贞1,2,3
1.浙江大学 中国农村发展研究院,浙江 杭州 310058
2.浙江大学 公共管理学院,浙江 杭州 310058
3.浙江大学 农业与农村发展智能计算实验室,浙江 杭州 310058
A Review on Residents’ Green Consumption Research
Zhou Jiehong1,2, Han Fei1,2, Wei Ke1,2, Yan Zhen1,2,3
1.China Academy of Rural Development, Zhejiang University, Hangzhou 310058, China
2.School of Public Affairs, Zhejiang University, Hangzhou 310058, China
3.Laboratory of Agriculture & Rural Development and Intelligent Computation, Zhejiang University, Hangzhou 310058, China

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摘要 

居民绿色消费转型是中国乃至全球实现可持续发展目标的必由之路。通过系统梳理国内外关于居民绿色消费的内涵、模式、行为和政府监管政策设计的已有成果,发现绿色消费的内涵和模式研究总体呈现从单一化到系统化的转变;绿色消费行为的研究表现为理论研究与实证研究并进;绿色消费政府监管政策的研究旨在指明不同监管政策的优缺点和适用条件,并评估具体政策的市场结果。未来居民绿色消费研究的主要方向如下:(1)科学界定不同绿色消费层级及其内在逻辑关系与转化机理;(2)构建绿色消费行为综合分析框架,探究绿色消费行为内外部影响因素的交互效应和行为偏差的形成机理;(3)绿色消费监管政策创新和跨时空效应评估;(4)数字经济背景下绿色消费行为的新特征和监管工具的研究。

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周洁红
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关键词 绿色消费消费行为政府监管居民数字经济    
Abstract

The United Nations Sustainable Development Goals (SDG12) and the Chinese government’s carbon peaking and carbon neutrality goals have put forward urgent requirements for promoting the transformation of green consumption. The sorting of green consumption research progress is of great significance for promoting future research and policy setting. By setting and executing a strict sorting procedure, 124 articles on the topic of green consumption were collected from 42 authoritative economic and management journals at home and abroad. On this basis, our paper reviews 3 core themes, i.e., the connotation and mode of green consumption, behavior research, and government regulatory policy design. The shortcomings of current research and the possible directions in the future are put forward thereafter.At present, research on the connotation and mode of green consumption as a whole presents a transformation from the simple to the systematic. The connotation definition gradually expands from merely green product purchase to green consumption process. Accordingly, the pattern definition of green consumption has gradually changed from consumption reduction to green re-engineering of the consumption process. The research on green consumption behavior is characterized by both theoretical research and empirical research. The analysis model of green consumption behavior has gradually changed from simple and one-way comprehensive, but there is not yet a comprehensive model that integrates the concepts of morality, green preference, and reputation to describe the decision-making mechanism of green consumption behavior in the real world. The research on green consumption government regulatory policy design aims at pointing out the advantages, disadvantages, and applicable conditions of different regulatory policy designs, and evaluating the market results of specific policy designs. However, the integration design of different regulatory policies and the welfare issues of policies still need to be explored in depth, and the research on regulatory policies under the digital economy and big data technology era needs to be broken through.The innovation and marginal contributions of this paper are reflected in the following three aspects. Firstly, articles on the topic of residential green consumption from well-known economic and management journals at home and abroad were collected and sorted in detail, and the subjects were subdivided and systematically described to depict the big picture of the research on residential green consumption. Secondly, the research on residents’ green consumption is innovatively divided into three core themes, connotation and mode, behavior research, and regulatory policy design, to cover the whole picture of research on residential green consumption. The driving forces and functional mechanism of green consumption mode transformation have been studied to provide references for policy allocation. Thirdly, we specifically proposed that, against the digital economy and big data technology era background, research directions in the future should be to construct a comprehensive, developmental behavior analysis framework, and construct a government regulatory policy box that integrates multiple sources of data, spatiotemporal characteristics, and new technological and behavioral intervention perspectives.The research outlook is that, with the development of the digital economy, future scholars investigating the green consumption of residents should focus on the following aspects. First, they could scientifically define different levels of green consumption as well as their inner logic and transformation mechanism. Second, they could construct a comprehensive analysis framework of green consumption behavior while exploring the interaction effect of internal and external factors of green consumption behavior and the mechanism of behavioral bias. Third, they could investigate green consumption regulatory policy innovation and assess the trans-temporal effect. Fourth, the researchers could also study new characteristics of green consumption behavior and regulatory toolbox in the digital economy era. The results are expected to provide a reference for academic research and policy practice in promoting the green consumption transition of urban and rural residents in China and the world.

Key wordsgreen consumption    consumption behavior    government supervision    residents    digital economics   
收稿日期: 2022-05-27     
基金资助:

国家社会科学基金重大项目(19ZDA106);国家自然科学基金面上项目(72073118);浙江大学国际学科联盟培育项目(188170-194252204)

作者简介: 周洁红(https://orcid.org/0000-0002-1967-780X),女,浙江大学中国农村发展研究院、公共管理学院教授,博士生导师,管理学博士,主要从事食品安全与供应链管理、绿色发展研究;;韩飞(https://orcid.org/0000-0001-8054-3432),男,浙江大学中国农村发展研究院、公共管理学院博士研究生,主要从事食品安全治理、城乡居民绿色消费研究;;魏珂(https://orcid.org/0000-0003-2679-047X),女,浙江大学中国农村发展研究院、公共管理学院博士研究生,主要从事绿色消费监管政策研究;;鄢贞(https://orcid.org/0000-0003-0091-6265)(通信作者),女,浙江大学中国农村发展研究院、公共管理学院、农业与农村发展智能计算实验室“百人计划”研究员,博士生导师,管理学博士,主要从事农业经济与大数据应用、绿色消费研究;
引用本文:   
周洁红, 韩飞, 魏珂, 鄢贞. 居民绿色消费研究综述[J]. 浙江大学学报(人文社会科学版), 2022, 52(9): 57-68. Zhou Jiehong, Han Fei, Wei Ke, Yan Zhen. A Review on Residents’ Green Consumption Research. JOURNAL OF ZHEJIANG UNIVERSITY, 2022, 52(9): 57-68.
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https://www.zjujournals.com/soc/CN/10.3785/j.issn.1008-942X.CN33-6000/C.2022.05.274     或     https://www.zjujournals.com/soc/CN/Y2022/V52/I9/57
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