碳交易政策下的物流与制造业联动减排随机演化博弈

Abstract
Figure/Table
References
Related Citation (6)

Download: PDF (2326 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract This study considers the uncertainty of the external environment; constructs a stochastic game model, which consists of government, manufacturers, and logistics enterprises; discusses the stability of the model to obtain the steady-state conditions; and investigates the strategic evolution of the game subject with the numerical simulation method. The cost of regulation and the reverse check mechanism of the upper government are important factors affecting the strategy choice of the local government, and a higher carbon trading price will promote the evolution of the game system to the ideal set of strategies (active regulation, green production, green transportation), the change of the initial strategy selection probability in the ideal strategy set affects the evolution rate of the subject to some extent, even if the manufacturer's green production strategy selection probability at the beginning of the game is 0.1, it still converges to the green production stabilization strategy with the fastest evolution rate. The green production strategy of manufacturers under the linkage development will drive logistics enterprises to choose a green transportation strategy. The sensitivity of logistics enterprises to carbon trading price and carbon quota is greater than that of manufacturers, and the evolution rate of logistics enterprises to green transportation is negatively related to carbon quota and positively related to carbon trading price. The increase in fiscal revenue from carbon trading promotes positive regulatory behavior of local governments but may lead to unstable strategy choices of logistics firms when the fiscal revenue coefficient increases to 0.3. Along with the increase in the intensity of random disturbances, manufacturers maintain the highest stability, with fluctuations of 0.4667~1 and 0.5618~1 in scenarios 1 and 2, respectively, while the strategy choice of logistics companies is the most volatile, with fluctuations of 0.3856~1 and 0.4616~1 in scenarios 1and 2, respectively, and is in an unstable state for a long time at the beginning of the evolution.

Key words： carbon regulation stochastic evolutionary game linkage of the two industries carbon trading coordinated emission reduction

Received: 21 March 2022

PACS:

X22

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	XU Xin-yang
	YANG Yang

Cite this article:

XU Xin-yang,YANG Yang. A stochastic evolutionary game of logistics and manufacturing linkage emission reduction under carbon trading policy[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(10): 4860-4870.

URL:

http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I10/4860

[1]	张凡,王树众,李艳辉,等.中国制造业碳排放问题分析与减排对策建议[J].化工进展, 2022,41(3):1645-1653.Zhang F, Wang S Z, Li Y H, et al.Analysis of CO2 emission and countermeasures and suggestions for emission reduction in Chinese manufacturing[J].Chemical Industry and Engineering Progress, 2022,41(3):1645-1653.
[2]	胡茂峰,郑义彬,李宇涵.多情景下湖北省交通运输碳排放峰值预测研究[J].环境科学学报, 2022,42(4):464-472.Hu M F, Zheng Y B, Li Y H.Forecasting of transport carbon emission peak in Hubei Province under multiple scenarios[J].Acta Scientiae Circumstantiate, 2022,42(4):464-472.
[3]	曾诗鸿,李璠,翁智雄,等.我国碳交易试点政策的减排效应及地区差异[J].中国环境科学, 2022,42(4):1922-1933.Zeng S H, Li P, Weng Z X, et al.Study on the emission reduction effect of China's carbon trading pilot policy and regional differences[J].China Environmental Science, 2022,42(4):1922-1933.
[4]	Wang X.Study on relationship between green logistics activity and logistics performance[J].Cluster Computing, 2018,22(5):6579-6588.
[5]	Benjaafar S, Li Y, Daskin M.Carbon footprint and the management of supply chains:Insights from simple models[J].IEEE Transactions on Automation Science & Engineering, 2013,10(1):99-116.
[6]	王梓瑛,王兆峰.环境规制对旅游生态效率影响的时空异质性研究——以长江三角洲城市群为例[J].长江流域资源与环境, 2022, 31(4):750-758.Wang Z Y, Wang Z F.A study on the spatial and temporal heterogeneity of the impact of environmental regulation on tourism eco-efficiency:Taking the Yangtze River Delta urban agglomeration as an example[J].Resources and Environment in the Yangtze Basin, 2022,31(4):750-758.
[7]	秦炳涛,余润颖,葛力铭.环境规制对资源型城市产业结构转型的影响[J].中国环境科学, 2021,41(7):3427-3440.Qin B T, Yu R Y, Ge L M.The impact of environmental regulation on the industrial structure transformation of resource-based cities[J].China Environmental Science, 2021,41(7):3427-3440.
[8]	包健,郭宝棋.异质性环境规制对区域生态效率的影响研究[J].干旱区资源与环境, 2022,36(2):25-30.Bao J, Guo B Q.Influence of heterogeneous environmental regulation on regional ecological efficiency[J].Journal of Arid Land Resources and Environment, 2022,36(2):25-30.
[9]	Chen B, Zhang H Y, Li W, et al.Research on provincial carbon quota allocation under the background of carbon neutralization[J].Energy Reports, 2022,8(4):903-915.
[10]	Shojaei T, Alireza M.Carbon mitigation by quota allocation[J].Journal of Environmental Management, 2022,304(2):1-15.
[11]	Xu X, He P.Joint production and pricing decisions for multiple products with cap-and-trade and carbon tax regulations[J].Journal of Cleaner Production, 2016,112(1):4093-4106.
[12]	Wang M, Zhao L, He M.Modeling carbon trading and refrigerated logistics services within a fresh food supply chain under carbon cap-and-trade regulation[J].International Journal of Production Research, 2018,56(5):1-19.
[13]	张晋玮,李建明.东道国碳规制对制造业企业对外直接投资的影响研究[J].经济问题探索, 2021,138(3):138-149.Zhang J W, Li J M.Research on the impact of host country's carbon regulation on foreign direct investment of manufacturing enterprises[J].Inquiry into Economic Issues, 2021,138(3):138-149.
[14]	Xin G Z, Jin Z.Impacts of two-way foreign direct investment on carbon emissions:from the perspective of environmental regulation[EB/OL].https://link.springer.com/article/10.1007/s11356-022-19598-w,2022-03-31.
[15]	Zhang S, Wang C, Yu C.The evolutionary game analysis and simulation with system dynamics of manufacturer's emissions abatement behavior under cap-and-trade regulation[J].Applied Mathematics & Computation, 2019,355(5):343-355.
[16]	徐晶芝,董雨.碳交易机制下地方政府与发电企业的演化博弈分析[J].中国科学技术大学学报, 2017,47(11):929-939.Xu J Z, Dong Y.Evolutionary game analysis of local government and power generation enterprises under carbon trading mechanism[J].Journal of University of Science and Technology, 2017,47(11):929-939.
[17]	Zhang S, Wang C, Pardalos P M.Co-evolutionary game of manufacturers' abatement behavior under carbon tax-subsidy policy[J].International Journal of Low-Carbon Technologies, 2021,16(4):1217-1228.
[18]	郭道燕,陈红,龙如银.消费端碳交易市场中政府初始碳配额分配策略研究——基于政府和家庭演化博弈的视角[J].中国人口·资源与环境, 2018,28(4):43-54.Guo D Y, Chen H, Long R Y.The allocation strategy of government for initial carbon allowance in downstream carbon trading market[J].China population, resources and environment, 2018,28(4):43-54.
[19]	王文利,程天毓.碳交易背景下供应链运营决策的演化博弈分析[J].系统工程理论与实践, 2021,41(5):1272-1281.Wang W L, Cheng T S.Evolutionary game analysis of supply chain operational decisions in the background of carbon trading[J].Systems Engineering-Theory & Practice, 2021,41(5):1272-1281.
[20]	廖诺,卢晨,贺勇.碳交易政策下节能服务公司参与供应链合作减排策略研究[J].中国管理科学, 2021,29(2):160-167.Liao N, Lu C, He Y.Research on the strategy of cooperative emission reduction in supply chain involving ESCO under carbon trading policy[J].Chinese Journal of Management Science, 2021,29(2):160-167.
[21]	Wan X, Xiao S, Li Q, et al.Evolutionary policy of trading of blue carbon produced by marine ranching with media participation and government supervision[J].Marine Policy, 2020,124(1):1-14.
[22]	Yuan B, He L, Gu B, et al.The evolutionary game theoretic analysis for emission reduction and promotion in low-carbon supply chains[J].Applied Sciences, 2018,8(10):1-19.
[23]	Peng B, Zheng C, Wei G, et al.The cultivation mechanism of green technology innovation in manufacturing industry:From the perspective of ecological niche[J].Journal of Cleaner Production, 2020,252(4):1-19.
[24]	An Y, Zhou D, Yu J, et al.Carbon emission reduction characteristics for China's manufacturing firms:Implications for formulating carbon policies[J].Journal of Environmental Management, 2021,284(4):1-12.
[25]	王健,林双娇.物流产业集聚对碳排放跨区域转移的作用机制[J].中国环境科学, 2021,41(7):3441-3452.Wang J, Lin S J.The mechanism of logistics industry agglomeration on the cross-regional transfer of carbon emissions[J].China Environmental Science, 2021,41(7):3441-3452.
[26]	杨扬,徐新扬.考虑碳税政策的物流企业低碳行为演化研究[J].安全与环境学报, 2021,21(4):1750-1758.Yang Y, Xu X Y.Research on the evolution of low-carbon behavior of logistics enterprises considering carbon tax policy[J].Journal of Safety and Environment, 2021,21(4):1750-1758.
[27]	Cobb L, Ragade R K.Applications of catastrophe theory in the behavioral and life sciences[J].Behavioral Science, 1978,23(5):61-77.
[28]	Jumarie G.Approximate solution for some stochastic differential equations involving both Gaussian and Poissonian white noises[J].Applied Mathematics Letters, 2003,16(8):1171-1177.