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Effect of personal carbon trading on EV adoption behavior based on a stochastic Petri net

  • 1.

    School of Economics and Management, Chang'an University, Xi'an 710064, China

  • 2.

    College of Transportation Engineering, Chang'an University, Xi'an 710064, China

  • 3.

    School of Management, University of Science and Technology of China, Hefei 230026, China

Funds:  China Postdoctoral Science Foundation under grant 2020M683403; Fundamental Re-search Funds for the Central Universities under grant 300102230104; National Natural Science Foundation of China under grant 71804174 and 71974177; Science and Technology Planning Project of Shaanxi Province, China under grant 2020JQ-398; USTC Research Funds of the Double First-Class Initiative under grant YD2160002002.
Cite this:
https://doi.org/10.52396/JUST-2020-0024
More Information
  • Author Bio:

    He Haonan is a lecturer at Chang'an University. His research interests include low carbon behavior and environmental policy. He has published several articles in some high quality journals such as Transportation Research Part D, Journal of Retailing and Consumer Services, and Economic Modelling.

    Ren Wei is a graduate student at Chang'an University. His research focuses on the transportation network vulnerability and low-carbon transportation development.

    Wang Zuohanga graduate student at Chang'an University. His research mainly focuses on the transportation network vulnerability.

    Zhao Chenyong is currently a graduate student at Chang'an University. His research focuses on urban transportation planning and low-carbon transportation development.

    Fei Ma is a Professor at Chang'an University. His research interests include sustainability, transportation, and logistics management. He has published more than 30 research articles in many high quality journals such as Journal of Cleaner Production and International Journal of Sustainable Transportation.

  • Corresponding author: Wang Shanyong, is an Associate Professor at University of Science and Technology of China. His research interests include sustainable development and green management. He has published several articles in many high quality journals such as Energy and Energy Policy. E-mail: wsy1988@ustc.edu.cn
  • Publish Date: 31 January 2021
    Abstract

  • Abstract

    The increasing urgency of environmental issues and maturity of the upstream carbon trading schemes indicate that personal carbon trading (PCT) is likely to be implemented soon, which will significantly affect the green behavior of consumers. In this study, a stochastic Petri net (SPN) model was constructed to analyze the evolution of the residential EV adoption behavior under a PCT scheme and the impacts of the environmental awareness and the PCT scheme on the EV adoption behavior were quantified. The results of this work show that the introduction of PCT does not necessarily positively impact the EV adoption. An emission quota and “cap-and-trade” attributes can significantly increase the environmental awareness of consumers, which is a “double-edged sword” for the EV adoption behavior at this stage. Specifically, it raises questions about the actual low-carbon performance of EVs and changes in travel patterns while increasing the willingness of consumers to pay a premium for the low-carbon products. Therefore, the government should rationalize the strength of PCT policies and traditional incentives to maximize the goal of promoting the EV adoption. The results can aid in gaining a better understanding of the behavioral evolution of the consumer EV adoption under the PCT scheme and provide theoretical support for government policymaking and product design and pricing by EV companies.

    Abstract

    The increasing urgency of environmental issues and maturity of the upstream carbon trading schemes indicate that personal carbon trading (PCT) is likely to be implemented soon, which will significantly affect the green behavior of consumers. In this study, a stochastic Petri net (SPN) model was constructed to analyze the evolution of the residential EV adoption behavior under a PCT scheme and the impacts of the environmental awareness and the PCT scheme on the EV adoption behavior were quantified. The results of this work show that the introduction of PCT does not necessarily positively impact the EV adoption. An emission quota and “cap-and-trade” attributes can significantly increase the environmental awareness of consumers, which is a “double-edged sword” for the EV adoption behavior at this stage. Specifically, it raises questions about the actual low-carbon performance of EVs and changes in travel patterns while increasing the willingness of consumers to pay a premium for the low-carbon products. Therefore, the government should rationalize the strength of PCT policies and traditional incentives to maximize the goal of promoting the EV adoption. The results can aid in gaining a better understanding of the behavioral evolution of the consumer EV adoption under the PCT scheme and provide theoretical support for government policymaking and product design and pricing by EV companies.
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    • References(47)
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