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金融发展对碳排放强度影响的空间效应研究 被引量:7

Research on the Spatial Effect of Financial Development on Carbon Emission Intensity
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摘要 为改善全球变暖,发展经济效益与环境效率双赢的低碳经济是大势所趋。金融发展作为推动经济增长的核心动力,在中国低碳经济转型中起到至关重要的作用。在此背景下,选取2007-2019年中国30个省(市、自治区)的面板数据,首先考察了省级碳排放强度和金融发展的动态演变和时空格局,然后在STIRPAT模型基础上采用空间杜宾模型探索金融发展对碳排放强度的直接影响与空间溢出效应。研究发现:(1)中国总体碳排放强度持续下降,金融发展则持续增强,但碳排放强度和金融发展分别呈现模糊和明显的两极分化;(2)中国各省份的碳排放强度在空间上具有显著的自相关和聚集性;(3)金融发展会显著增加本地的碳排放强度,但在更大程度上显著降低邻近地区的碳排放强度,因此总体效果为金融发展会抑制碳排放强度。 In order to improve global warming, it is a general trend to develop a low-carbon economy that benefits both economic and environmental efficiency. As the core driving force of economic growth, financial development plays a vital role in the transition of low-carbon economy. In this context, this paper selects the panel data of 30 provinces in China from 2007 to 2019. First, it examines the dynamic evolution and spatiotemporal pattern, and then uses spatial Dubin model on the basis of the STIRPAT to explore the direct impact and spatial spillover effects of financial development on carbon emission intensity. The study found that overall carbon emission intensity continued to decline, while financial development continued to increase, but the carbon emission intensity and financial development showed a vague and obvious polarization.The carbon emission intensity of Chinese provinces has significant spatial autocorrelation and agglomeration. Financial development will significantly increase the local carbon emission intensity, but will significantly reduce the carbon emission intensity of neighboring areas to a greater extent, so the overall effect is that financial development will curb carbon emission intensity.
作者 莫姝 王婷 MO Shu;WANG Ting(School of Management,Guizhou University,Guiyang 550025,China;People's Armed College,Guizhou University,Guiyang 550025,China)
出处 《环境科学与技术》 CAS CSCD 北大核心 2022年第5期126-134,共9页 Environmental Science & Technology
基金 贵州省哲学社会科学规划联合基金(18GZLH03) 贵州省科学技术基金(ZK[2021]一般275) 贵州大学文科重点学科及特色学科重大科研项目(GDZT201702)。
关键词 金融发展 碳排放强度 时空演变 空间溢出 financial development carbon emission intensity spatial temporal evolution spatial overflow
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