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中国绿色金融的衡量与时空特征。

Measurement and spatiotemporal characteristics of China's green finance.

机构信息

School of Business and Economics, Gannan Normal University, Ganzhou, 341000, Jiangxi Province, China.

出版信息

Environ Sci Pollut Res Int. 2024 Feb;31(9):13100-13121. doi: 10.1007/s11356-023-31811-y. Epub 2024 Jan 19.

Abstract

To study the extent of green finance development in China, this article constructs a green finance index system and employs the entropy value method to measure China's green finance by using a yearly provincial panel data from 2001 to 2020. The Thiel and Moran indices are then used to systematically analyze the temporal and spatial distribution of China's regional green finance. The findings are summarized as follows. Firstly, the overall green finance index in China experiences an upward trend. The development of green finance in the eastern region is superior to that in other regions in terms of absolute value and growth rate. Moreover, the differences in China's green finance index have shown an increasing trend over the last two decades, which is mostly contributed by the intra-regional differences. Finally, the inter-regional distribution of green finance index demonstrates that green finance development has a spatial spillover effect.

摘要

为了研究中国绿色金融的发展程度,本文构建了一个绿色金融指数体系,并采用熵值法,利用 2001 年至 2020 年的年度省级面板数据,对中国的绿色金融进行了测算。然后,采用泰尔指数和莫兰指数对中国区域绿色金融的时空分布进行了系统分析。主要结论如下:首先,中国整体绿色金融指数呈上升趋势。从绝对值和增长率来看,东部地区绿色金融发展优于其他地区。其次,中国绿色金融指数的差异在过去二十年呈扩大趋势,这主要是由区内差异造成的。最后,绿色金融指数的区域分布表明,绿色金融发展具有空间溢出效应。

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