基于演化博弈的制造企业低碳技术采纳决策机制研究

运筹与管理 ›› 2014, Vol. 23 ›› Issue (5): 264-272.

基于演化博弈的制造企业低碳技术采纳决策机制研究

徐建中, 徐莹莹

哈尔滨工程大学经济管理学院,黑龙江哈尔滨 150001

收稿日期:2013-05-05 出版日期:2021-05-25
作者简介:徐建中(1959-),男,河北丰润县人,哈尔滨工程大学经济管理学院教授、博士生导师,管理学博士,主要从事现代管理理论与方法、经济管理与战略研究;徐莹莹(1990-),女,黑龙江鸡西人,博士生,主要要从事管理科学、企业创新、创新扩散等方面的研究。
基金资助:
国家自然科学基金资助项目(71273072);黑龙江省自然科学基金资助项目(G201119)

Study on Low-carbon Technology Adoption among Manufacturers Based on Evolutionary Game Theory

XU Jian-zhong, XU Ying-ying

School of Economics and Management, Harbin Engineering University, Harbin 150001, China

Received:2013-05-05 Online:2021-05-25

摘要/Abstract

摘要： 为实现CO₂减排目标,针对我国企业应对气候变化整体表现较差的问题,利用演化博弈理论和方法构建了企业低碳技术采纳决策模型,并对策略选择进行稳定性分析。理论研究和数值仿真结果表明:市场机制下只有当采纳低碳技术能够获得额外净收益时企业群体才会向全部选择采纳的“理想状态”演化,反之,企业选择不采纳策略,此时政府实施低碳技术投入和碳减排两种补贴政策可诱导系统向“理想状态”演化,但应将补贴系数控制在一定范围内发挥其最大激励效用。

关键词: 管理科学, 低碳技术采纳决策, 演化博弈, 制造企业

Abstract: In order to achieve CO₂ emission reduction targets and solve Chinese enterprises' poor performance on response to climate change, decision-making model of low-carbon technology adoption is built based on evolutionary game theory, and stable strategies are analyzed. Theoretical study and numerical simulation show that enterprise groups will evolve to an “ideal state” of all adoption only when they can obtain excess returns by low-carbon technology adoption. Otherwise, enterprises do not choose low-carbon technology adoption. In this case, subsidy policies such as investment of low-carbon technology and carbon reduction should be implemented to guide evolution into the “ideal state”, but the subsidies should be controlled in certain ranges to maximize their incentive effect.

Key words: management science, low-carbon technology adoption decisions, evolutionary game theory, manufacturers

中图分类号:

F224.32

徐建中, 徐莹莹. 基于演化博弈的制造企业低碳技术采纳决策机制研究[J]. 运筹与管理, 2014, 23(5): 264-272.

XU Jian-zhong, XU Ying-ying. Study on Low-carbon Technology Adoption among Manufacturers Based on Evolutionary Game Theory[J]. Operations Research and Management Science, 2014, 23(5): 264-272.

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