IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i17p7661-d1470722.html
   My bibliography  Save this article

The Evolution of Government–Enterprise Strategies of “Expressway + Logistics Distribution”

Author

Listed:
  • Peiling Jiang

    (Faculty of Transportation Engineering, Kunming University of Science and Technology, Jingming South Road 727, Kunming 650500, China)

  • Wenbing Shui

    (Faculty of Transportation Engineering, Kunming University of Science and Technology, Jingming South Road 727, Kunming 650500, China)

  • Mingwei He

    (Faculty of Transportation Engineering, Kunming University of Science and Technology, Jingming South Road 727, Kunming 650500, China)

Abstract

Currently, China’s expressway revenue and expenditure imbalance problem is serious. The development of an “Expressway Derivative Economy” (EDE) helps address expressway deficits, ensuring the expressway’s sustainable operation. The “Expressway + Logistics Distribution” (ELD) mode is a crucial form of the EDE and enhances expressway traffic flow and asset income. However, the cooperation mechanism among stakeholders remains unclear, hindering the widespread promotion of this mode. This study designs two ELD modes and elaborates on their respective advantages. Therefore, a three-party evolutionary game model involving the government, expressway groups, and logistics enterprises is established. Government “land-use-right” grant and tax incentive policies are formulated to explore the cooperation mechanism among stakeholders. The results indicate that both government “land-use-right” grant and tax incentive policies positively influence the positive evolution of the system. However, when the government “land-use-right” grants reach a high level, the willingness of logistics enterprises to choose entry will decrease due to resource crowding. Comparatively, a higher-level “land-use-right” grant policy significantly enhances the role of government tax incentive policy in promoting the positive development of the system. During tight government funding, it is a feasible policy to prioritize expressway groups by providing more tax incentives. The findings provide theoretical guidance for promoting the ELD mode.

Suggested Citation

  • Peiling Jiang & Wenbing Shui & Mingwei He, 2024. "The Evolution of Government–Enterprise Strategies of “Expressway + Logistics Distribution”," Sustainability, MDPI, vol. 16(17), pages 1-29, September.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7661-:d:1470722
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/17/7661/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/17/7661/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eghbali, Mohammad-Ali & Rasti-Barzoki, Morteza & Altmann, Jörn, 2024. "An evolutionary game-theoretic approach to analysis the green innovation chain dynamics under government policies," Technology in Society, Elsevier, vol. 77(C).
    2. Ritzberger, Klaus & Weibull, Jorgen W, 1995. "Evolutionary Selection in Normal-Form Games," Econometrica, Econometric Society, vol. 63(6), pages 1371-1399, November.
    3. Holl, Adelheid & Mariotti, Ilaria, 2018. "Highways and firm performance in the logistics industry," Journal of Transport Geography, Elsevier, vol. 72(C), pages 139-150.
    4. Jiayang Xu & Jian Cao & Yunfei Wang & Xiangrong Shi & Jiayun Zeng, 2020. "Evolutionary Game on Government Regulation and Green Supply Chain Decision-Making," Energies, MDPI, vol. 13(3), pages 1-25, February.
    5. M. Ghanbarpour & Keith Hipel, 2009. "Sustainable development conflict over freeway construction," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 11(2), pages 241-253, April.
    6. Chao Liu & Hexin Wang & Yu Dai, 2023. "Sustainable Cooperation between Schools, Enterprises, and Government: An Evolutionary Game Theory Analysis," Sustainability, MDPI, vol. 15(18), pages 1-12, September.
    7. Joseph E. Stiglitz, 2017. "Countering the Power of Vested Interests: Advancing Rationality in Public Decision-Making," Journal of Economic Issues, Taylor & Francis Journals, vol. 51(2), pages 359-365, April.
    Full references (including those not matched with items on IDEAS)

    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. Hexin Wang & Chao Liu & Yu Dai, 2024. "How Can the Government Promote Sustainable Cooperation between Schools and Enterprises? A Quadrilateral Evolutionary Game Study," Sustainability, MDPI, vol. 16(17), pages 1-14, August.
    2. Ianni, A., 2002. "Reinforcement learning and the power law of practice: some analytical results," Discussion Paper Series In Economics And Econometrics 203, Economics Division, School of Social Sciences, University of Southampton.
    3. Sandholm,W.H., 2003. "Excess payoff dynamics, potential dynamics, and stable games," Working papers 5, Wisconsin Madison - Social Systems.
    4. Viossat, Yannick, 2008. "Evolutionary dynamics may eliminate all strategies used in correlated equilibrium," Mathematical Social Sciences, Elsevier, vol. 56(1), pages 27-43, July.
    5. Hui Yu & Wei Wang & Baohua Yang & Cunfang Li, 2019. "Evolutionary Game Analysis of the Stress Effect of Cross-Regional Transfer of Resource-Exhausted Enterprises," Complexity, Hindawi, vol. 2019, pages 1-16, November.
    6. Daozhi Zhao & Jiaqin Hao & Cejun Cao & Hongshuai Han, 2019. "Evolutionary Game Analysis of Three-Player for Low-Carbon Production Capacity Sharing," Sustainability, MDPI, vol. 11(11), pages 1-20, May.
    7. Qipeng Sun & Yuqi He & Yongjie Wang & Fei Ma, 2019. "Evolutionary Game between Government and Ride-Hailing Platform: Evidence from China," Discrete Dynamics in Nature and Society, Hindawi, vol. 2019, pages 1-14, January.
    8. Aradhana Narang & A. J. Shaiju, 2019. "Evolutionary Stability of Polymorphic Profiles in Asymmetric Games," Dynamic Games and Applications, Springer, vol. 9(4), pages 1126-1142, December.
    9. Oechssler, Jorg, 1997. "An Evolutionary Interpretation of Mixed-Strategy Equilibria," Games and Economic Behavior, Elsevier, vol. 21(1-2), pages 203-237, October.
    10. Chenxi Li & Xing Gao & Bao-Jie He & Jingyao Wu & Kening Wu, 2019. "Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China," Sustainability, MDPI, vol. 11(5), pages 1-23, March.
    11. Yingrui Ma & Chao Wu & Xindong Wei & Weijun Gao & Lei Sun, 2024. "Evolutionary Dynamics of Passive Housing Initiatives in New Rural Construction," Sustainability, MDPI, vol. 16(13), pages 1-22, June.
    12. Alves, C. & Guizzo, D., 2022. "Economic Theory and Policy Today: Lessons from Barbara Wootton and the Creation of the British Welfare State," Cambridge Working Papers in Economics 2246, Faculty of Economics, University of Cambridge.
    13. Demichelis, Stefano & Ritzberger, Klaus, 2003. "From evolutionary to strategic stability," Journal of Economic Theory, Elsevier, vol. 113(1), pages 51-75, November.
    14. Hauk, Esther & Hurkens, Sjaak, 2002. "On Forward Induction and Evolutionary and Strategic Stability," Journal of Economic Theory, Elsevier, vol. 106(1), pages 66-90, September.
    15. Yong Sun & Yalin Wang & Baoyin Liu & Zhongrui Sun, 2023. "Evolutionary game of destination brand co‐construction with government involvement," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2125-2136, June.
    16. DeMichelis, Stefano & Germano, Fabrizio, 2000. "On the Indices of Zeros of Nash Fields," Journal of Economic Theory, Elsevier, vol. 94(2), pages 192-217, October.
    17. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2021. "Exploring the dilemma of overcapacity governance in China's coal industry: A tripartite evolutionary game model," Resources Policy, Elsevier, vol. 71(C).
    18. Freixas Xavier & Hurkens Sjaak & Morrison Alan D & Vulkan Nir, 2007. "Interbank Competition with Costly Screening," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 7(1), pages 1-27, May.
    19. Tao Li & Lei Ma & Zheng Liu & Chaonan Yi & Kaitong Liang, 2023. "Dual Carbon Goal-Based Quadrilateral Evolutionary Game: Study on the New Energy Vehicle Industry in China," IJERPH, MDPI, vol. 20(4), pages 1-16, February.
    20. Ponti, Giovanni, 2000. "Continuous-time evolutionary dynamics: theory and practice," Research in Economics, Elsevier, vol. 54(2), pages 187-214, June.

    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:16:y:2024:i:17:p:7661-:d:1470722. 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.