IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i17p10562-d896600.html
   My bibliography  Save this article

A Tripartite Evolutionary Game and Simulation Analysis of Transportation Carbon Emission Reduction across Regions under Government Reward and Punishment Mechanism

Author

Listed:
  • Yunlong Liu

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • Leiyu Chen

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • Chengfeng Huang

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

Abstract

Pollution and carbon reduction is a key strategic direction for ecological civilization in China, and a hot issue of concern for the government and the whole society. The main goal of this paper was to consider the regional externalities of traffic emissions and clarify the relationship between provincial and central government strategies under the government reward and punishment mechanism. This paper considers the unevenness of regional transportation emissions, constructs a three-party evolutionary game model among transportation carbon deficit provinces, transportation carbon surplus provinces, and the central government, discusses the evolutionary stability of the game under different strategies of the three parties, and analyzes the influence of each element on the game structure. The study shows that: Environmental losses can increase the evolutionary speed of active emission reduction in transportation carbon deficit provinces, and the probability of supporting cross-regional carbon emission reduction in transportation carbon surplus provinces decreases slightly with the increase and the probability of central government regulation increases. The central government has a certain binding effect on transportation carbon deficit provinces and carbon surplus provinces through fines, and cross-zone cooperation subsidies are conducive to promoting carbon deficit provinces to actively reduce emissions. The cross-region compensation of carbon deficit provinces can promote the governments of carbon surplus provinces to support cross-region carbon emission abatement, and the cost of regulation will reduce the probability of central government regulation. Finally, Matlab simulation is used to verify the conclusions and provide countermeasures and suggestions for cross-regional abatement of regional transportation emissions by the central government.

Suggested Citation

  • Yunlong Liu & Leiyu Chen & Chengfeng Huang, 2022. "A Tripartite Evolutionary Game and Simulation Analysis of Transportation Carbon Emission Reduction across Regions under Government Reward and Punishment Mechanism," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10562-:d:896600
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/17/10562/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/17/10562/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhao, Pengjun & Zeng, Liangen & Li, Peilin & Lu, Haiyan & Hu, Haoyu & Li, Chengming & Zheng, Mengyuan & Li, Haitao & Yu, Zhao & Yuan, Dandan & Xie, Jinxin & Huang, Qi & Qi, Yuting, 2022. "China's transportation sector carbon dioxide emissions efficiency and its influencing factors based on the EBM DEA model with undesirable outputs and spatial Durbin model," Energy, Elsevier, vol. 238(PC).
    2. Lindsey, Robin & Santos, Georgina, 2020. "Addressing transportation and environmental externalities with economics: Are policy makers listening?," Research in Transportation Economics, Elsevier, vol. 82(C).
    3. Santarromana, Rudolph & Mendonça, Joana & Dias, André Martins, 2020. "The effectiveness of decarbonizing the passenger transport sector through monetary incentives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 442-462.
    4. Du, Mengbing & Zhang, Xiaoling & Xia, Lang & Cao, Libin & Zhang, Zhe & Zhang, Li & Zheng, Heran & Cai, Bofeng, 2022. "The China Carbon Watch (CCW) system: A rapid accounting of household carbon emissions in China at the provincial level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    5. Zhuo, Chengfeng & Xie, Yuping & Mao, Yanhua & Chen, Pengqin & Li, Yiqiao, 2022. "Can cross-regional environmental protection promote urban green development: Zero-sum game or win-win choice?," Energy Economics, Elsevier, vol. 106(C).
    6. Xu, Bin & Lin, Boqiang, 2016. "Differences in regional emissions in China's transport sector: Determinants and reduction strategies," Energy, Elsevier, vol. 95(C), pages 459-470.
    7. Kellner, Florian, 2016. "Allocating greenhouse gas emissions to shipments in road freight transportation: Suggestions for a global carbon accounting standard," Energy Policy, Elsevier, vol. 98(C), pages 565-575.
    8. Yu, Yang & Li, Shuangqi & Sun, Huaping & Taghizadeh-Hesary, Farhad, 2021. "Energy carbon emission reduction of China’s transportation sector: An input–output approach," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 378-393.
    9. Zhang, Linling & Long, Ruyin & Li, Wenbo & Wei, Jia, 2020. "Potential for reducing carbon emissions from urban traffic based on the carbon emission satisfaction: Case study in Shanghai," Journal of Transport Geography, Elsevier, vol. 85(C).
    10. Tamannaei, Mohammad & Zarei, Hamid & Rasti-Barzoki, Morteza, 2021. "A game theoretic approach to sustainable freight transportation: Competition between road and intermodal road–rail systems with government intervention," Transportation Research Part B: Methodological, Elsevier, vol. 153(C), pages 272-295.
    11. Yang, Yi & Yuan, Zhuqing & Yang, Shengnan, 2022. "Difference in the drivers of industrial carbon emission costs determines the diverse policies in middle-income regions: A case of northwestern China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xinshang You & Shuo Zhao & Yanbo Yang & Dongli Zhang, 2022. "Influence of the Government Department on the Production Capacity Reserve of Emergency Enterprises Based on Multi-Scenario Evolutionary Game," Sustainability, MDPI, vol. 14(23), pages 1-35, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Shubin & Li, Jiabao & Lu, Quanying, 2024. "Optimization of carbon peaking achieving paths in China's transportation sector under digital feature clustering," Energy, Elsevier, vol. 313(C).
    2. Yunlong Liu & Leiyu Chen & Chengfeng Huang, 2022. "Study on the Carbon Emission Spillover Effects of Transportation under Technological Advancements," Sustainability, MDPI, vol. 14(17), pages 1-13, August.
    3. Liu, Hongwei & Shao, Liangyu & Min, Jie & Ji, Xiang, 2024. "Regional differences and determinants of environmental efficiency in China's road transportation industry," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 931-946.
    4. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    5. Wang, Xianzhu & Huang, He & Hong, Jingke & Ni, Danfei & He, Rongxiao, 2020. "A spatiotemporal investigation of energy-driven factors in China: A region-based structural decomposition analysis," Energy, Elsevier, vol. 207(C).
    6. Tan, Xiujie & Sun, Qian & Wang, Meiji & Se Cheong, Tsun & Yan Shum, Wai & Huang, Jinpeng, 2022. "Assessing the effects of emissions trading systems on energy consumption and energy mix," Applied Energy, Elsevier, vol. 310(C).
    7. Long Qian & Yunjie Zhou & Ying Sun, 2023. "Regional Differences, Distribution Dynamics, and Convergence of the Green Total Factor Productivity of China’s Cities under the Dual Carbon Targets," Sustainability, MDPI, vol. 15(17), pages 1-26, August.
    8. Zhen Wang & Xupeng Zhang & Chaozheng Zhang & Qing Yang, 2022. "How Regional Integration Affects Urban Green Development Efficiency: Evidence from Urban Agglomeration in the Middle Reaches of the Yangtze River," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
    9. Moshe Ben-Akiva & Michel Bierlaire & Khan Doyme & Shari Gershenfeld & Nathalie Picard & Andreas W. Schäfer & Ravi Seshadri & Aruna Sivakumar & Linda Steg, 2025. "The Behavioral Dimension of Transport Decarbonization," Working Papers of BETA 2025-31, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    10. Salman, Muhammad & Long, Xingle & Wang, Guimei & Zha, Donglan, 2022. "Paris climate agreement and global environmental efficiency: New evidence from fuzzy regression discontinuity design," Energy Policy, Elsevier, vol. 168(C).
    11. Xiaoxuan Wei & Meng Ye & Liang Yuan & Wei Bi & Weisheng Lu, 2022. "Analyzing the Freight Characteristics and Carbon Emission of Construction Waste Hauling Trucks: Big Data Analytics of Hong Kong," IJERPH, MDPI, vol. 19(4), pages 1-21, February.
    12. Peng, Tianduo & Ou, Xunmin & Yuan, Zhiyi & Yan, Xiaoyu & Zhang, Xiliang, 2018. "Development and application of China provincial road transport energy demand and GHG emissions analysis model," Applied Energy, Elsevier, vol. 222(C), pages 313-328.
    13. Zhang, Ning & Zhao, Yu & Wang, Na, 2022. "Is China's energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets," Energy Economics, Elsevier, vol. 112(C).
    14. Cavallaro, Federico & Costa, Carlo & De Biasi, Ilaria & Fabio, Alberto & Nocera, Silvio, 2024. "Sustainable pathways for mitigating externalities in long-distance terrestrial transport," Transport Policy, Elsevier, vol. 154(C), pages 207-221.
    15. Ibrahim Abada, Andreas Ehrenmann, and Xavier Lambin, 2020. "On the Viability of Energy Communities," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    16. Zhang, Yiting & Liu, Henry J. & Ling, Shuai & Wang, Dan & Fu, Yifan & Wang, Xueqing, 2024. "A collaborative governance model for electric vehicle charging infrastructure incorporating policy evaluation and feedback," Utilities Policy, Elsevier, vol. 90(C).
    17. Chien‐Chiang Lee & Ying Yuan & Huwei Wen, 2022. "Can digital economy alleviate CO2 emissions in the transport sector? Evidence from provincial panel data in China," Natural Resources Forum, Blackwell Publishing, vol. 46(3), pages 289-310, August.
    18. Zhou, Xi-Yin & Xu, Zhicheng & Zheng, Jialin & Zhou, Ya & Lei, Kun & Fu, Jiafeng & Khu, Soon-Thiam & Yang, Junfeng, 2023. "Internal spillover effect of carbon emission between transportation sectors and electricity generation sectors," Renewable Energy, Elsevier, vol. 208(C), pages 356-366.
    19. Chun-Cheng Lin & Rou-Xuan He & Wan-Yu Liu, 2018. "Considering Multiple Factors to Forecast CO 2 Emissions: A Hybrid Multivariable Grey Forecasting and Genetic Programming Approach," Energies, MDPI, vol. 11(12), pages 1-25, December.
    20. Anwar, Ahsan & Sharif, Arshian & Fatima, Saba & Ahmad, Paiman & Sinha, Avik & Khan, Syed Abdul Rehman & Jermsittiparsert, Kittisak, 2021. "The asymmetric effect of public private partnership investment on transport CO2 emission in China: Evidence from quantile ARDL approach," MPRA Paper 108160, University Library of Munich, Germany, revised 2021.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10562-:d:896600. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.