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“双碳”目标下政府与企业减污降碳协同治理演化机制与提升路径
马莹莹,王沁,姚文艳,张慧东
(青岛理工大学 管理工程学院,山东 青岛 266520)
摘要:
“双碳”目标下,减污降碳协同治理不仅事关当下,更事关未来绿色高质量发展空间。基于中央政府监管和环境规制下“中央—地方—高排放企业”如何形成合力、实现减污降碳协同治理的现实问题,构建三方协同治理演化博弈模型,设计多元化的命令控制型和市场经济型政策组合嵌入到纵向治理体系中,通过模型求解确定了影响系统主体策略演化的关键因素,明确了提升系统协同治理的关键演化条件和路径。研究表明,通过激励和约束相匹配的补贴和税收等政策设计,可以增强地方政府积极治理力度,促进企业应用绿色技术治污减排,提升减污降碳协同治理效能。
关键词:  减污降碳  协同治理  演化博弈  政策组合  提升路径
DOI:10.13216/j.cnki.upcjess.2023.06.0004
分类号:F205
基金项目:青岛市社会科学规划研究项目(QDSKL2101164)
Evolution Mechanism and Improvement Path of Collaborative Governance Between Government and Enterprises in Reducing Pollution and Carbon Emission Under the Dual-carbon Goal
MA Yingying, WANG Qin, YAO Wenyan, ZHANG Huidong
(School of Management Engineering, Qingdao University of Technology, Qingdao 266520, Shandong, China)
Abstract:
Under the constraints of the dual carbon goals, achieving collaborative governance of pollution reduction and carbon reduction is not only related to the present, but also to the future green and high-quality development space. Based on the urgent practical problem of how "central government-local government-high emission enterprises" form a joint force to achieve collaborative governance of pollution reduction and carbon reduction under the environmental regulation and the supervision of the central government, an evolutionary game model of tripartite collaborative governance is constructed and solved, and a diversified command-controlled and market economy based policy combination is designed to be embedded in the vertical governance system, and the key factors affecting the evolution of system strategy are solved, and the key evolutionary conditions and paths for achieving collaborative governance are clarified. The research has proved that designing policies such as subsidies and taxes that match incentives and constraints can enhance the active governance efforts of the local government, promote the application of green technology in emission reduction by enterprises, and enhance the efficiency of collaborative governance on pollution reduction and carbon reduction.
Key words:  pollution reduction and carbon emission reduction  collaborative governance  evolutionary game  policy combination  improvement path 英文编校:马志强