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基于系统广义矩估计模型探究产业集聚与绿色金融对中国区域环境污染的影响

Exploring industrial agglomeration and green finance impact on regional environmental pollution in China based on system-GMM model.

作者信息

Qiu Qiang

机构信息

School of Economics and Management, Nanjing Forestry University, No.159 Longpan Road, Nanjing, Jiangsu Province, China.

出版信息

Environ Sci Pollut Res Int. 2023 Apr;30(16):46766-46778. doi: 10.1007/s11356-023-25632-2. Epub 2023 Feb 1.

Abstract

The boom of building various industrial agglomerations in China has continued for many years. The relationship between industrial agglomeration and environmental pollution is the core issue of this paper. At the same time, green finance is a new financial development model that takes environmental protection as the core, and effectively promotes the sustainable development of the environment, the economy, and society while maintaining its own sustainable development, so green finance is a major direction for future financial development. This paper selects the data of 30 Chinese provinces from 2004 to 2020 as the research object and uses a system-GMM method to verify the relationship between industrial agglomerations, green finance on regional environmental pollution. It provides theoretical reference for improving global climate change and reduces environmental pollution (EP), concludes as follows. (1) Industrial agglomeration can exacerbate EP level in China, and also exacerbates EP in the western region, but the effect of industrial agglomeration on EP in the eastern and central regions has been insignificant. (2) Green finance can improve environmental pollution. The intensity of EP in economically less developed regions is more sensitive to green finance policies. (3) The correlation effect of industrial agglomeration and green finance can improve environmental pollution, i.e., green finance has an important role in improving EP. However, there are significant differences in different regions. The interaction term between industrial agglomeration and green finance with a non-significant positive coefficient in the eastern region, and it is non-significant negative coefficient in the central region, and a significant negative coefficient in the western region. The work has important theoretical value for achieving the goal of regional sustainable development and green transformation.

摘要

中国各类产业集聚区的建设热潮已持续多年。产业集聚与环境污染之间的关系是本文的核心问题。同时,绿色金融是以环境保护为核心的新型金融发展模式,在自身可持续发展的同时,有效促进环境、经济和社会的可持续发展,因此绿色金融是未来金融发展的主要方向。本文选取2004年至2020年中国30个省份的数据作为研究对象,运用系统广义矩估计方法验证产业集聚、绿色金融对区域环境污染的关系。为改善全球气候变化和减少环境污染(EP)提供理论参考,研究结论如下:(1)产业集聚加剧了中国的环境污染水平,也加剧了西部地区的环境污染,但产业集聚对东部和中部地区环境污染的影响不显著。(2)绿色金融可以改善环境污染。经济欠发达地区的环境污染强度对绿色金融政策更为敏感。(3)产业集聚与绿色金融的关联效应能够改善环境污染,即绿色金融在改善环境污染方面具有重要作用。然而,不同地区存在显著差异。产业集聚与绿色金融的交互项在东部地区系数为非显著正,在中部地区为非显著负,在西部地区为显著负。该研究对于实现区域可持续发展和绿色转型目标具有重要的理论价值。

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