4.7 Article

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

Journal

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 28, Issue 32, Pages 43365-43381

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-021-13537-x

Keywords

Approach-avoidance responses; Carbon emission reduction; Demographic characteristics; Personal carbon trading; Psychological factors; Policy suggestions; Urban residents

Funding

  1. Natural Science Research Project of Shaanxi Province [2021JQ-577]
  2. Scientific Research Project of Education Department of Shaanxi Province: Humanities and Social Sciences Project [21JK0096]
  3. Social Science Foundation of Shaanxi Province [2020R055]
  4. National Natural Science Foundation of China [71673271, 71874188]
  5. Major Project of the National Social Science Foundation of China [19ZDA107]
  6. Key Project of the National Social Science Foundation of China [18AZD014]
  7. National Social Science Foundation of China [19BGL183]
  8. Think Tank of Green Safety Management and Policy Science (2018 Double First-Class Initiative Project for Cultural Evolution and Creation of CUMT) [2018WHCC03]
  9. Jiangsu Philosophy and Social Sciences Excellent Innovation Cultivation Team [2017ZSTD031]
  10. Scientific Research Project of Education Department of Shaanxi Province [20JT050]
  11. Prosperity Project of Philosophy and Social Sciences of Xi'an University of Science and Technology [2020SY01]

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The study established a hierarchical framework for urban residents' approach-avoidance responses to personal carbon trading, finding that respondents could be classified into five response hierarchies and exhibiting demographic differences and influences of psychological factors. Most of the residents with the most avoidance response were young males, older first-line employees, and those on subsistence incomes. Residents with egoistic values, low senses of social responsibility, little knowledge about carbon reductions, and a preference for comfortable life were more likely to avoid the scheme and participation.
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 fist-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.

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