黄河流域城市层面横向生态保护补偿效应研究

张晓昱 ,  蔡晴 ,  左其亭 ,  郑鹏飞

河南师范大学学报(自然科学版) ›› 2026, Vol. 54 ›› Issue (5) : 21 -30.

PDF (1185KB)
河南师范大学学报(自然科学版) ›› 2026, Vol. 54 ›› Issue (5) : 21 -30. DOI: 10.16366/j.cnki.1000-2367.2025.09.02.0001
黄河流域生态保护研究专题

黄河流域城市层面横向生态保护补偿效应研究

作者信息 +

Study on the horizontal ecological protection compensation effect at the urban level in the Yellow River Basin

Author information +
文章历史 +
PDF (1212K)

摘要

生态保护补偿对实现黄河流域生态保护和高质量发展重大国家战略具有重要意义.基于2012-2023年55个城市的面板数据,运用双重差分模型,从绿色经济发展、环境保护、水资源节约集约利用3个方面研究黄河流域城市层面横向生态保护补偿效应.结果表明,该政策具有显著的绿色经济发展效应和环境保护效应,但水资源节约集约利用效应不显著;该政策在绿色经济发展和环境保护方面,对资源型和非资源型城市、不同经济发展水平的城市存在异质性;产业结构调整对绿色经济发展和环境保护均存在显著中介效应,技术创新对环境保护存在显著中介效应,但对绿色经济发展的中介效应不显著.最后,提出继续推进黄河流域城市层面横向生态保护补偿机制建设的建议.

Abstract

Ecological protection compensation is of great significance for realizing the major national strategy of ecological protection and high-quality development in the Yellow River Basin. Based on the panel data of 55 cities from 2012 to 2023, this paper uses the difference-in-differences model to study the horizontal ecological protection compensation effect at the urban level in the Yellow River Basin from three aspects: green economic development, environmental protection, and the conservation and intensive utilization of water resources. The results show that this policy has significant effects on green economic development and environmental protection, but the effects on the conservation and intensive utilization of water resources are not significant. This policy shows heterogeneity in terms of green economic development and environmental protection for resource-based and non-resource-based cities, as well as cities at different levels of economic development. Industrial structure adjustment has a significant mediating effect on both green economic development and environmental protection. Technological innovation has a significant mediating effect on environmental protection, but its mediating effect on green economic development is not significant. Finally, suggestions for continuing to promote the construction of the horizontal ecological protection compensation mechanism at the urban level in the Yellow River Basin are put forward.

关键词

黄河流域 / 生态保护补偿 / 绿色全要素生产率 / 绿色经济发展 / 双重差分模型

Key words

the Yellow River Basin / ecological protection compensation / green total factor productivity / green economic development / difference-in-difference model

引用本文

引用格式 ▾
张晓昱,蔡晴,左其亭,郑鹏飞. 黄河流域城市层面横向生态保护补偿效应研究[J]. 河南师范大学学报(自然科学版), 2026, 54(5): 21-30 DOI:10.16366/j.cnki.1000-2367.2025.09.02.0001

登录浏览全文

4963

注册一个新账户 忘记密码

参考文献

[1]

张兵兵, 王圆, 申广军. 流域横向生态保护补偿与共同富裕[J]. 世界经济, 2024, 47(4): 129-153.

[2]

Zhang B B, Wang Y, Shen G J. Basin horizontal ecological protection compensation and common prosperity[J]. The Journal of World Economy, 2024, 47(4): 129-153.

[3]

杨秋月, 阳镇, 陈劲. 生态补偿能否促进绿色经济发展:基于新安江流域横向生态补偿试点的证据[J]. 科学学与科学技术管理, 2024, 45(10): 3-20.

[4]

Yang Q Y, Yang Z, Chen J. Can eco-compensation promote green economic development evidence from Xin'an River Basin horizontal eco-compensation pilot[J]. Science of Science and Management of S & T, 2024, 45(10): 3-20.

[5]

Li H L, Wen Z M, Wan Y M, et al. How does the horizontal watershed ecological compensation mechanism effect regional economy-a county level empirical study on Xin'an River basin, China[J]. Ecological Indicators, 2024, 166: 112506.

[6]

Yang Q Y, Yang Z, Chen Y M . The impact of trans-provincial watershed eco-compensation policy on carbon emissions: Evidence from China[J]. Economic Analysis and Policy, 2024, 82: 784-802.

[7]

任以胜, 龙一鸣, 陆林. 流域生态补偿政策对受偿地区水污染强度的影响:以新安江流域为例[J]. 经济地理, 2023, 43(11): 181-189.

[8]

Ren Y S, Long Y M, Lu L. Impact of watershed eco-compensation policy on water pollution intensity in the compensated area: a case study of the Xin'an River Basin[J]. Economic Geography, 2023, 43(11): 181-189.

[9]

卢文秀, 吴方卫. 生态补偿能够促进农民增收吗:基于2008-2019年新安江流域试点的经验数据[J]. 农业技术经济, 2023(11): 4-18.

[10]

Lu W X, Wu F W. Can ecological compensation increase farmers' income: a case based on the ecological compensation of Xin'an River Basin[J]. Journal of Agrotechnical Economics, 2023(11): 4-18.

[11]

朱臻, 唐磊, 宁可. 钱塘江流域生态保护政策演进下的生态福利绩效水平及收敛性[J]. 中国人口·资源与环境, 2022, 32(11): 198-207.

[12]

Zhu Z, Tang L, Ning K. Ecological welfare performance and its convergence under the evolution of Qiantang River Basin ecological protection policies[J]. China Population, Resources and Environment, 2022, 32(11): 198-207.

[13]

马军旗, 乐章. 黄河流域生态补偿的水环境治理效应:基于双重差分方法的检验[J]. 资源科学, 2021, 43(11): 2277-2288.

[14]

Ma J Q, Le Z. Effects of ecological compensation on water environment governance in the Yellow River Basin: a test based on difference-in-difference method[J]. Resources Science, 2021, 43(11): 2277-2288.

[15]

王腾飞, 马仁锋. 城际专利联系网络对绿色全要素生产率的影响及其溢出效应[J]. 经济地理, 2024, 44(9): 37-45.

[16]

Wang T F, Ma R F. The impact of intercity patent network on green total factor productivity and its spillover effect[J]. Economic Geography, 2024, 44(9): 37-45.

[17]

邝劲松, 杨坤宇, 石校菲, 等 . 省域人工智能发展对绿色全要素生产率的空间效应[J]. 经济地理, 2024, 44(7): 144-154.

[18]

Kuang J S, Yang K Y, Shi X F, et al. Spatial effect of provincial artificial intelligence development on green total factor productivity[J]. Economic Geography, 2024, 44(7): 144-154.

[19]

Yu R Q, Luo Z Y . Evaluation of regional comprehensive development efficiency under low-carbon policy: based on optimized DDF-GML combined with unsupervised clustering method[J]. Scientific Reports, 2024, 14: 16217.

[20]

杜建国, 李波, 杨慧. 人口老龄化下农业人力资本对农业绿色全要素生产率的影响[J]. 中国人口·资源与环境, 2023, 33(9): 215-228.

[21]

Du J G, Li B, Yang H. Impact of agricultural human capital on agricultural green total factor productivity under population aging[J]. China Population, Resources and Environment, 2023, 33(9): 215-228.

[22]

陈利, 陈帅, 张婷. 粤港澳大湾区绿色全要素生产率演进及其收敛性[J]. 经济问题探索, 2024(11): 78-95.

[23]

Chen L, Chen S, Zhang T. Green total factor productivity evolutionary characteristics and its convergence in the Guangdong-Hong Kong-Macao greater bay area[J]. Inquiry into Economic Issues, 2024(11): 78-95.

[24]

Oh D H, Heshmati A . A sequential Malmquist-Luenberger productivity index: Environmentally sensitive productivity growth considering the progressive nature of technology[J]. Energy Economics, 2010, 32(6): 1345-1355.

[25]

Wang D P, Du K R, Zhang N . Measuring technical efficiency and total factor productivity change with undesirable outputs in Stata[J]. The Stata Journal: Promoting Communications on Statistics and Stata, 2022, 22(1): 103-124.

[26]

张军, 吴桂英, 张吉鹏. 中国省际物质资本存量估算:1952-2000[J]. 经济研究, 2004, 39(10): 35-44.

[27]

Zhang J, Wu G Y, Zhang J P. The Estimation of China's provincial capital stock: 1952-2000[J]. Economic Research Journal, 2004, 39(10): 35-44.

[28]

张茂鑫, 吴次芳, 李光宇, 等 . 资源环境承载力评价的再认识:资源节约集约利用的视角[J]. 中国土地科学, 2020, 34(8): 98-106.

[29]

Zhang M X, Wu C F, Li G Y, et al. Re-recognition of resource and environmental carrying capacity evaluation: from the perspective of resource conservation and intensive utilization[J]. China Land Science, 2020, 34(8): 98-106.

[30]

龚新蜀, 杜江. 数字经济、绿色创新与企业绿色全要素生产率[J]. 统计与决策, 2024, 40(2): 35-40.

[31]

Gong X S, Du J. Digital economy, green innovation and green total factor productivity of enterprises[J]. Statistics & Decision, 2024, 40(2): 35-40.

基金资助

国家重点研发计划(2024YFC3211301)

河南省社科联2024年度调研课题(SKL-2024-2211)

郑州大学骨干教师培育计划项目(2021ZDGGJS034)

AI Summary AI Mindmap
PDF (1185KB)

0

访问

0

被引

详细

导航
相关文章

AI思维导图

/

〈 〉