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2026, 08, v.42 18-27
碳生态补偿跨区域协同治理:基于三方演化博弈的政府行为研究
基金项目(Foundation): 国家自然科学基金青年项目“国土空间管制下生态价值外溢及跨区域生态财政转移支付机制研究——以长江经济带为例”(42401324); 教育部人文社会科学青年基金项目“土地开发非均衡发展与跨区域碳生态补偿机制研究”(24YJCZH175)
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发布时间: 2026-08-03
出版时间: 2026-08-03
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摘要:

碳生态补偿是实现“双碳”目标的核心政策工具,但在跨区域协同中面临主体博弈困境与制度落地瓶颈。论文基于政府行为视角,构建包含上级政府的三方演化博弈模型,通过建立收益矩阵、求解复制动态方程及稳定性条件,识别博弈均衡解与关键影响因素,并利用数值仿真验证参数敏感性,最终提出破解该困境的优化路径。研究结果表明:(1)三方协同参与碳生态补偿的稳定性高度依赖上级政府监管意愿,当上级政府主动监管时,下级政府无论初始意愿如何均会积极参与;反之则难以自发形成合作。(2)降本增效是推进三方协同参与碳生态补偿的核心驱动力,且三方对支出型参数(成本、惩罚)的敏感度显著高于收入型参数(补偿额、奖励),降低参与成本与强化上级政府惩罚约束更有利于碳盈余/碳赤字政府参与碳生态补偿。(3)上级政府的惩罚效应优于奖励效应,尤其对碳盈余政府的威慑力显著强于碳赤字政府,建议对前者实施“阶梯式惩罚与声誉约束”机制,强化对碳盈余方的履约保障。本研究可为破解政府间碳生态补偿博弈困境,促进其有效落地实施提供理论支撑。

Abstract:

Carbon ecological compensation is a core policy tool for achieving the dual carbon goals,but its cross-regional coordination faces challenges in terms of stakeholder conflicts and institutional implementation bottlenecks.This study constructs a three-party evolutionary game model involving higher-level governments from the perspective of government behavior.It establishes a payoff matrix,solves replication dynamic equations and stability conditions,identifies game equilibrium solutions and key influencing factors,and uses numerical simulation to verify parameter sensitivity in order to propose an optimized path to break the deadlock.Research results show:(1) The stability of tripartite collaboration in carbon offsetting is highly dependent on the regulatory intentions of higher-level governments.Proactive regulation can encourage lower-level governments to actively participate regardless of their initial intentions,whereas the absence of such regulation makes spontaneous cooperation difficult.(2) Cost reduction and efficiency improvement are the core drivers of tripartite collaboration,and the three parties are significantly more sensitive to expenditure-related parameters (costs,penalties) than income-related parameters (compensation amounts,rewards).Reducing participation costs and strengthening upper-level penalty constraints are more conducive to the participation of governments with carbon surpluses/deficits.(3) The deterrent effect of penalties is more effective than that of rewards.The deterrent effect on governments with carbon surpluses is significantly stronger than that on governments with carbon deficits.It is recommended to implement a “tiered penalty and reputation constraint” mechanism for the former,strengthening compliance safeguards for carbon surplus parties.This study provides theoretical support for resolving the dilemma of intergovernmental carbon ecological compensation negotiations and promoting their effective implementation.

参考文献

[1]彭卓越,李梦婷,刘亚明,等.南水北调工程实施下受水区碳生态补偿标准研究:以济南市为例[J].地理科学进展,2025,44(8):1720-1731.

[2]刘蒙罢,文兰娇,张安录.长江经济带县域空间碳生态补偿机制构建研究:基于财政纵横视角[J].长江流域资源与环境,2025,34(7):1512-1528.

[3]易丹,欧名豪,郭杰,等.土地利用碳排放及低碳优化研究进展与趋势展望[J].资源科学,2022,44(8):1545-1559.

[4]李璐,夏秋月,董捷,等.武汉城市圈县域空间横向碳生态补偿研究:基于土地利用碳收支差异[J].生态学报,2023,43(7):2627-2639.

[5]Xia S,Yang Y.Examining spatio-temporal variations in carbon budget and carbon compensation zoning in Beijing-Tianjin-Hebei urban agglomeration based on major functional zones[J].Journal of Geographical Sciences,2022,32(10):1911-1934.

[6]夏四友,杨宇.基于主体功能区的京津冀城市群碳收支时空分异与碳补偿分区[J].地理学报,2022,77(3):679-696.

[7]韩磊,刘洁,胡紫洁,等.基于土地利用变化的陕西省碳排放时空特征及碳补偿[J].生态学报,2025,45(20):10036-10047.

[8]Song H,Zhang X,Zou J,et al.A study on the value of carbon compensation in the Huai River Basin based on land use from 2000 to 2020[J].Physics and Chemistry of the Earth,Parts A/B/C,2023,132:103490.

[9]刘宜卓,石悦泽,荆克迪.“双碳”目标下黄河流域九省区横向区域碳补偿机制构建研究[J].生态经济,2024,40(1):29-37.

[10]鄂施璇,李琴,张露洋.三峡库区1980—2021年土地利用碳排放格局及碳补偿[J].水土保持通报,2023,43(1):300-306.

[11]何宇鹏,朱梦蝶.粮食产销区省际碳补偿的机制建构与测度[J].统计与决策,2024,40(24):84-89.

[12]陈姜全,李效顺,刘希朝,等.基于“三生空间”转型的碳收支演变机制与碳补偿研究:以西南地区为例[J].长江流域资源与环境,2025,34(3):610-626.

[13]董一鸣,孙博文,徐琳瑜.森林生态效益补偿优先级机制研究及应用:基于碳汇总量与变化量视角[J].生态学报,2024,44(5):1892-1903.

[14]张希栋,付文豪,裴梓婷.横纵结合视角下中国农业双重碳补偿机制[J].中国人口·资源与环境,2025,35(4):84-98.

[15]惠利,孙永平.全球气候正义的新框架:碳权利、碳责任和碳补偿的有机统一[J].南京社会科学,2025(4):48-60.

[16]刘佳露,陈秀萍.基于碳交易我国湿地碳汇市场补偿机制的构建[J].环境保护科学,2025,51(5):1-6.

[17]贾倩.基于“收支—责益”双平衡视角的中国省域碳补偿机制研究[D].太原:山西大学,2024.

[18]郝旭光,宋梅.基于碳平衡的黄河流域市域横向碳补偿研究[J].生态经济,2024,40(4):165-174.

[19]楚道文.流域横向生态补偿制度的三重进阶[J].干旱区资源与环境,2023,37(7):197-202.

[20]朱仁显,李佩姿.跨区流域生态补偿如何实现横向协同?:基于13个流域生态补偿案例的定性比较分析[J].公共行政评论,2021,14(1):170-190.

[21]Pukowiec-Kurda K.The urban ecosystem services index as a new indicator for sustainable urban planning and human well-being in cities[J].Ecological Indicators,2022,144:109532.

[22]潘鹤思,柳洪志.跨区域森林生态补偿的演化博弈分析:基于主体功能区的视角[J].生态学报,2019,39(12):4560-4569.

[23]Barrows R L,Prenguber B A.Transfer of development rights:An analysis of a new land use policy[J].American Journal of Agricultural Economics,1975,57(4):549-557.

[24]苏洨宇.共同事权与支出责任分担视阈下的转移支付机制探究[J].经济问题,2022(6):34-40,66.

[25]Taylor P D,Jonker L B.Evolutionary stable strategies and game dynamics[J].Mathematical Biosciences,1978,40(1-2):145-156.

[26]沈小平,陈叶,张克听.中小企业自主创新行为选择与政策激励传导机制分析:基于复制动态演化博弈视角[J].经济理论与经济管理,2019,39(7):89-102.

[27]程乐峰,杨汝,王晓刚,等.三方多策略式博弈系统的长期演化稳定均衡特性研究[J].控制理论与应用,2021,38(10):1631-1661.

[28]Lyapunov A M.The general problem of the stability of motion[J].International Journal of Control,1992,55(3):531-534.

[29]周信哲.低碳背景下港口多式联运企业“公转铁”的演化博弈研究[D].杭州:杭州电子科技大学,2024.

[30]吴洁,车晓静,盛永祥,等.基于三方演化博弈的政产学研协同创新机制研究[J].中国管理科学,2019,27(1):162-173.

[31]杨雪涵.突发事件中多主体信息协同的演化博弈研究[D].长春:吉林大学,2024.

[32]吴瑞,张耀坤,焦磊.基于学术社交网络的科研团队合作行为三方演化博弈与仿真分析[J].中国软科学,2024(9):174-184.

基本信息:

中图分类号:D630;X321

引用信息:

[1]刘蒙罢,夏文通,范正根.碳生态补偿跨区域协同治理:基于三方演化博弈的政府行为研究[J].生态经济,2026,42(08):18-27.

基金信息:

国家自然科学基金青年项目“国土空间管制下生态价值外溢及跨区域生态财政转移支付机制研究——以长江经济带为例”(42401324); 教育部人文社会科学青年基金项目“土地开发非均衡发展与跨区域碳生态补偿机制研究”(24YJCZH175)

发布时间:

2026-08-03

出版时间:

2026-08-03

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