绿色金融政策对区域经济–环境协调发展的影响研究
Study on the Impact of Green Finance Policies on Coordinated Development of Regional Economy and Environment
摘要: 绿色金融政策作为推动经济–环境协同发展的重要工具,其效果发挥是否存在非线性特征及区域差异仍需深入探讨。本文基于2013~2023年中国省级面板数据,运用面板门槛模型和中介效应分析框架,系统考察绿色金融政策对经济–环境协调度的影响机制。研究发现:绿色金融政策对EEH的影响存在显著单门槛效应,门槛值为2.0053,当政策强度跨越该阈值后,促进效应从不显著跃升至1%水平显著。区域异质性分析表明,东部地区主要通过技术创新路径传导,中西部地区则依赖资源配置路径。内生性与稳健性检验证实结果可靠,工具变量法修正后核心系数提升至0.0423。研究结论为制定差异化绿色金融政策提供理论依据,建议实施“门槛值精准调控 + 区域路径适配”的组合策略,东部强化技术创新激励,中西部优化资源配置效率。
Abstract: As an important tool for promoting coordinated economic-environmental development, the effectiveness of green finance policies still requires in-depth exploration regarding their potential non-linear characteristics and regional differences. Based on China’s provincial panel data from 2013 to 2023, this study systematically examines the impact mechanism of green finance policies on economic-environmental harmony (EEH) using a panel threshold model and mediating effect analysis framework. The research findings reveal a significant single threshold effect in the impact of green finance policies on EEH, with a threshold value of 2.0053. When policy intensity crosses this threshold, the promotional effect jumps from being insignificant to statistically significant at the 1% level. Regional heterogeneity analysis indicates that eastern regions primarily transmit effects through technological innovation pathways, while central and western regions rely on resource allocation pathways. Endogeneity and robustness tests confirm the reliability of the results, with the core coefficient increasing to 0.0423 after correction using instrumental variable methods. The research conclusions provide a theoretical basis for formulating differentiated green finance policies. It is recommended to implement a combined strategy of “threshold value precision regulation + regional pathway adaptation”, strengthening technological innovation incentives in eastern regions and optimizing resource allocation efficiency in central and western regions.
文章引用:刘婧婉, 张婷. 绿色金融政策对区域经济–环境协调发展的影响研究[J]. 统计学与应用, 2025, 14(12): 39-50. https://doi.org/10.12677/sa.2025.1412344

参考文献

[1] 中国人民银行, 国家发展改革委, 工业和信息化部, 等. 关于进一步强化金融支持绿色低碳发展的指导意见[S]. 北京: 中国金融出版社, 2024.
[2] UNEP (2024) Global Resources Outlook 2024: Bend the Trend—Pathways to a Liveable Planet as Resource Use Spikes (Summary for Policymakers). UNEP.
https://wedocs.unep.org/handle/20.500.11822/44902
[3] 康波财经研究院. 2025中国绿色贷款全景报告[R]. 康波财经, 2025.
[4] 中国人民银行调查统计司. 2025年二季度金融机构贷款投向统计报告[R]. 中国人民银行, 2025.
[5] 刘兆赢, 张宪昌. 绿色金融、技术创新与产业结构优化升级[J]. 科技和产业, 2024, 24(3): 112-118.
[6] 金祥义, 孙梦玲. 绿色信贷推动了企业技术追赶吗? [J]. 上海财经大学学报, 2024, 26(5): 60-74.
[7] 涂强, 左丽梅, 张旭颖. 绿色金融促进区域绿色发展研究[J]. 财经理论与实践, 2025, 46(4): 11-18.
[8] 朱清, 何雅兴. 数字化转型能提高企业绿色全要素生产率吗——基于中国上市公司的证据[J]. 西部金融, 2024(3): 53-62.
[9] Hansen, B.E. (1999) Threshold Effects in Non-Dynamic Panels: Estimation, Testing, and Inference. Journal of Econometrics, 93, 345-368. [Google Scholar] [CrossRef
[10] 王冲, 王磊. 绿色信贷与工业绿色全要素生产率: 影响机制与门槛效应检验[J]. 环境管理, 2023(332): 117745.
[11] 陆菁, 鄢云, 王韬璇. 绿色信贷政策的微观效应研究——基于技术创新与资源再配置的视角[J]. 中国工业经济, 2021(1): 174-192.
[12] 戴其文, 郭忠媛, 赖璇宇, 金涛. 绿色金融政策对企业绿色发展的影响机制[J]. 自然资源学报, 2025(3): 1-25.
[13] 刘潭, 徐璋勇, 宋甜甜. 科技金融政策的绿色发展效应评价——基于科技和金融结合试点的准自然实验[J]. 科技管理研究, 2024, 44(3): 56-66.
[14] Grossman, G.M. and Krueger, A.B. (1991) Environmental Impacts of a North American Free Trade Agreement. NBER Working Paper No. 3914.
[15] Merton, R.C. (1995) A Functional Perspective of Financial Intermediation. Financial Management, 24, 23-41. [Google Scholar] [CrossRef
[16] Wang, J., Li, X., Zhang, T., He, C. and Zhu, L. (2025) The Impact of Green Finance Reform and Innovation Policies on Green Investors in China. Finance Research Letters, 83, Article 107709. [Google Scholar] [CrossRef
[17] Zou, P.X.W., Chen, Y. and Zhang, Y. (2020) Green Finance, Economic Growth and Environmental Quality: Evidence from China. Environmental Science and Pollution Research, 27, 19962-19974. [Google Scholar] [CrossRef] [PubMed]
[18] Yang, B. and Liu, Y. (2025) Green Finance Reform, Environmental Regulation, and Regional Green and Low-Carbon Development. Finance Research Letters, 85, Article 108104. [Google Scholar] [CrossRef
[19] Baron, R.M. and Kenny, D.A. (1986) The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations. Journal of Personality and Social Psychology, 51, 1173-1182. [Google Scholar] [CrossRef
[20] Zhang, T., Li, H. and Wang, S. (2025) The Role of Green Finance in Reshaping End-Use Energy Consumption: Insights from Regional Evidence in China. Frontiers in Environmental Science, 13, Article 1539987.