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考虑环境规制与绿色信贷的冷链物流低碳运营演化博弈研究

Research on the evolution game of low-carbon operations in cold chain logistics considering environmental regulations and green credit.

作者信息

Wu Rong, Zhu Lin, Jiang Man

机构信息

School of Management, Harbin University of Commerce, Harbin, 150028, China.

出版信息

Heliyon. 2024 Apr 30;10(9):e30559. doi: 10.1016/j.heliyon.2024.e30559. eCollection 2024 May 15.

DOI:10.1016/j.heliyon.2024.e30559
PMID:38726134
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11079247/
Abstract

To solve the problem of insufficient low-carbon operational motivation among cold chain logistics enterprises due to the high investment costs of low-carbon assets and considering the promotional effect of environmental regulatory policies and green credit, an evolutionary game model was constructed for the government, cold chain logistics enterprises, and financial institutions. The stability strategies of each participating entity and the stability of the system equilibrium point were analyzed, and the relevant conclusions were verified through numerical simulations. The research results indicated the following: (1) the initial willingness of the three parties to participate increased, the low-carbon operation of cold chain logistics enterprises and the speed of green credit services provided by financial institutions accelerated, and the rate of strict government regulation slowed down. (2) Moderate subsidies and taxes were conducive to the joint participation of the three parties. (3) Increasing the subsidy for green credit provided positive incentives for financial institutions to provide green credit services, while reducing credit interest rates accelerated the low-carbon operation rate of cold chain logistics enterprises.

摘要

针对冷链物流企业因低碳资产投资成本高而导致低碳运营动力不足的问题,考虑到环境监管政策和绿色信贷的促进作用,构建了政府、冷链物流企业和金融机构的演化博弈模型。分析了各参与主体的稳定策略和系统均衡点的稳定性,并通过数值模拟验证了相关结论。研究结果表明:(1)三方参与的初始意愿增强,冷链物流企业的低碳运营和金融机构提供绿色信贷服务的速度加快,政府严格监管的速度放缓。(2)适度的补贴和税收有利于三方的联合参与。(3)增加绿色信贷补贴对金融机构提供绿色信贷服务有积极激励作用,而降低信贷利率则加速了冷链物流企业的低碳运营率。

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本文引用的文献

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Vertical decentralization, environmental regulation, and enterprise pollution: An evolutionary game analysis.纵向分权、环境规制与企业污染:一个演化博弈分析。
J Environ Manage. 2024 Jan 1;349:119449. doi: 10.1016/j.jenvman.2023.119449. Epub 2023 Nov 6.
2
The impact of green technology innovation on carbon dioxide emissions: The role of local environmental regulations.绿色技术创新对二氧化碳排放的影响:地方环境法规的作用。
J Environ Manage. 2023 Aug 15;340:117990. doi: 10.1016/j.jenvman.2023.117990. Epub 2023 Apr 27.
3
Non-linear effects of heterogeneous environmental regulations on industrial relocation: Do compliance costs work?
非均匀环境规制对产业转移的非线性影响:合规成本起作用了吗?
J Environ Manage. 2022 Dec 1;323:116188. doi: 10.1016/j.jenvman.2022.116188. Epub 2022 Sep 14.
4
Save the environment, get financing! How China is protecting the environment with green credit policies?保护环境,获取融资!中国如何通过绿色信贷政策保护环境?
J Environ Manage. 2022 Dec 1;323:116178. doi: 10.1016/j.jenvman.2022.116178. Epub 2022 Sep 13.
5
Does the green credit policy reduce the carbon emission intensity of heavily polluting industries? -Evidence from China's industrial sectors.绿色信贷政策是否降低了重污染行业的碳排放强度?——来自中国工业部门的证据。
J Environ Manage. 2022 Mar 2;311:114815. doi: 10.1016/j.jenvman.2022.114815.
6
Fostering green development with green finance: An empirical study on the environmental effect of green credit policy in China.以绿色金融推动绿色发展:中国绿色信贷政策环境效应的实证研究。
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Carbon tax and energy innovation at crossroads of carbon neutrality: Designing a sustainable decarbonization policy.碳税与能源创新在碳中和的十字路口:设计可持续的脱碳政策。
J Environ Manage. 2021 Sep 15;294:112957. doi: 10.1016/j.jenvman.2021.112957. Epub 2021 Jun 7.
8
Green Credit, Financial Constraint, and Capital Investment: Evidence from China's Energy-intensive Enterprises.绿色信贷、金融约束与资本投资——来自中国能源密集型企业的证据
Environ Manage. 2020 Dec;66(6):1059-1071. doi: 10.1007/s00267-020-01346-w. Epub 2020 Aug 13.