4.7 Article

Effects of personal carbon trading scheme on consumers? new energy vehicles replacement decision: An economic trade-off analysis

Journal

ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
Volume 101, Issue -, Pages -

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.eiar.2023.107108

Keywords

PCT scheme; Vehicle replacement decision; Carbon emission permits price; Financial subsidies

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Carbon emissions from private transportation and resident travel are increasing rapidly, requiring immediate action. Personal carbon trading (PCT) is considered an effective market tool in the private transportation sector to encourage low-carbon travel behavior. This study proposes a replacement decision model under the PCT scheme and uses life cycle cost (LCC) theories to address the issue of replacing new energy vehicles (NEVs). The results show that implementing a PCT scheme can accelerate the adoption of NEVs by consumers.
Carbon emissions from private transportation and resident travel are exhibiting a fast upward trend that requires immediate action. Personal carbon trading (PCT) in private transportation sector is considered to be an effective market tool based on the cap and trade principle to guide residents to carry out low-carbon travel behaviour. This study proposed a replacement decision model under the PCT scheme and applied the theories of life cycle cost (LCC) to address the issue of new energy vehicles (NEVs) replacement decision. The results of the numerical analysis and mathematical model solution demonstrate that the adoption of a PCT scheme can accelerate the conversion of consumers to adopting new energy vehicles. When the carbon market price fluctuates erratically, consumers are unlikely to decide to replace their fuel vehicles. The process of consumers' decision making to switch to NEVs will accelerate through the increase in gasoline prices. Conversely, the increase in market dis-count rates will make the replacement decision of consumers more uncertain and discourage them from making early replacement decisions. The gradual withdrawal of financial subsidies will have a certain delaying effect on consumers' decision-making behaviours. Moreover, the results of sensitivity analysis support the robustness of our research findings. Finally, we summarize the conclusions, implications and limitations.

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