Evidence map›Paper›PMID 33834333›Full record

ArticleEnvironmental science and pollution research international2021

Who avoids being involved in personal carbon trading? An investigation based on the urban residents in eastern China.

Daoyan Guo, Hong Chen, Ruyin Long, Shaohui Zou

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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Daoyan GuoCentre for Energy Economics and Management Research, School of Management, Xi'an University of Science and Technology, Xi'an, 710054, China.
Hong ChenSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, China. hongchenxz@163.com.ORCID http://orcid.org/0000-0002-2035-6851
Ruyin LongSchool of Economics and Management, China University of Mining and Technology, Xuzhou, 221116, China.
Shaohui ZouCentre for Energy Economics and Management Research, School of Management, Xi'an University of Science and Technology, Xi'an, 710054, China.

Funding

Jiangsu Philosophy and Social Sciences Excellent Innovation Cultivation Team 2017ZSTD031Key Project of the National Social Science Foundation of China 18AZD014Major Project of the National Social Science Foundation of China 19ZDA107National Natural Science Foundation of China 71673271National Natural Science Foundation of China 71874188National Social Science Foundation of China 19BGL183Prosperity Project of Philosophy and Social Sciences of Xi'an University of Science and Technology 2020SY01Scientific Research Project of Education Department of Shaanxi Province 20JT050Social Science Foundation of Shaanxi Province 2020R055Think Tank of Green Safety Management and Policy Science (2018 "Double First-Class" Initiative Project for Cultural Evolution and Creation of CUMT) 2018WHCC03
6 · The paper itself

Abstract

Personal carbon trading scheme has been pulled into the public eye with the increasing urgency of downstream carbon emission reduction, and its feasibility largely depends on public acceptability. This study established a hierarchical framework for urban residents' approach-avoidance responses to personal carbon trading; adopted Likert scale and manikin task methods to assess the current states of residents' responses by investigating 1892 respondents in eastern China; employed one-way analysis of variance to identify the demographic differences of their responses; and used regression analysis to explore the influences of psychological factors on their responses. The findings showed that urban residents' responses to personal carbon trading scheme and participation could be classified into five response hierarchies: deep avoidance, shallow avoidance, uncertain, shallow approach, and deep approach. The average of residents' responses denoted a shallow approach, with the characteristics of median stability, duration, and noise. Moreover, residents holding deep approach responses to the scheme and participation respectively accounted for 42.365% and 34.275% of the total, which indicated a gap between attitude and behavior. Urban residents' responses exhibited significant differences with respect to demographic characteristics. Most of the residents with the most avoidance response were young males (i.e., 18-20 years old), older first-line employees (i.e., older than 50 years old), and those on subsistence incomes (i.e., annual individual or household income was RMB 30,000-50,000 yuan). Additionally, residents who held egoistic values, had low senses of social responsibility, knew little about carbon reductions, and preferred comfortable life were likely to avoid the scheme and participation. Finally, policy suggestions are proposed for the enhancement of urban residents' attitudes towards personal carbon trading, thereby providing valuable references for its implementation.

Indexed as

CarbonPolicyAdolescentAdultChinaHumansIncomeMaleMiddle AgedSurveys and QuestionnairesUrban PopulationYoung AdultCarbonApproach-avoidance responsesCarbon emission reductionDemographic characteristicsPersonal carbon tradingPolicy suggestionsPsychological factorsUrban residents

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.