首页|多维度视角下长三角区域一体化对碳排放的影响

多维度视角下长三角区域一体化对碳排放的影响

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基于多维度视角，研究长三角区域一体化对碳排放的影响，有助于促进区域一体化与碳排放协调发展，推动长三角生态绿色一体化发展。文章采用熵值法和双变量Local Moran's Ii，分析2006-2020年长三角区域一体化与碳排放时空特征，并考虑空间因素，构建空间滞后面板模型，分析碳排放影响因素。结果表明:①区域一体化和碳排放存在明显的区域差异且空间格局相对稳定，总体上呈从省会城市向四周递减的空间格局。上海、南京、杭州、苏州、南通、无锡和宁波的区域一体化水平和碳排放相对较高。②区域一体化与碳排放呈显著的正相关性且波动减弱，区域一体化与相邻市碳排放呈显著的正相关性且波动上升。长三角地区各市区域一体化和相邻市碳排放的空间关联关系较为稳定。③空间滞后面板模型结果表明:优化发展一体化结构是降低碳排放的重要方式。同时，空间一体化、要素一体化、人均GDP和外商直接投资占GDP比例对碳排放具有明显的负向作用，单位GDP能耗对碳排放具有明显的正向作用。
The Impact of Regional Integration on Carbon Emissions in the Yangtze River Delta:A Multidimensional Perspective
Based on the multi-dimensional perspective,the investigation of the impact of regional integration on carbon emissions is helpful to promote the coordinated development of regional integration and carbon emission,and promote the ecological-green integrated development in the Yangtze River Delta.Based on the model of entropy method and the bivariate Local Moran's Ii,this paper analyzes the spatial-temporal characteristics of regional integration and carbon emissions in the Yangtze River Delta from 2006 to 2020,and constructs a spatial lag panel model to investigate the influential factors of carbon emissions.The results show that:1)There were obvious regional differences and stable spatial pattern in regional integration and carbon emissions,and the overall spatial pattern was decreasing from the provincial capital cities to the surrounding areas.Shanghai,Nanjing,Hangzhou,Suzhou,Nantong,Wuxi and Ningbo were at relatively higher levels of regional integration and carbon emissions.2)A significantly positive correlation between regional integration and carbon emissions generally showed a fluctuated decreasing trend.A significantly positive spatial correlation between regional integration and carbon emissions in neighboring cities fluctuated upward.The spatial correlation between the regional integration of cities and the carbon emissions of neighboring cities was relatively stable in the Yangtze River Delta.3)The results of the spatial lag panel model showed that optimizing the development integration structure was an important way to reduce the carbon emissions.Meanwhile,space integration,factor integration,per capita GDP and the proportion of foreign direct investment in GDP had a markedly negative impact on reducing carbon emissions.The energy consumption per unit of GDP had a markedly positive impact on reducing carbon emissions.

multidimensional perspectiveregional integrationcarbon emissionselements flowspatial integrationlow-carbon developmentYangtze River Delta region

李建豹、陈红梅、孟浩、黄贤金、揣小伟、李颖

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南京财经大学 公共管理学院,中国 江苏 南京 210023

南京财经大学 政府管理研究中心,中国 江苏 南京 210023

南京财经大学 经济学院,中国 江苏 南京 210023

南京大学 地理与海洋科学学院,中国 江苏 南京 210023

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多维度视角 区域一体化 碳排放 要素流动 空间一体化 低碳发展 长三角地区

国家自然科学基金项目国家自然科学基金项目教育部人文社会科学研究项目国家社会科学基金重大项目关键地球物质循环前沿科学中心科研基金资助项目江苏省自然科学基金青年项目

419012454220131723YJCZH10217ZDA061DLTDPY2101BK20210675

2024

10.15957/j.cnki.jjdl.2024.04.005

经济地理
中国地理学会 湖南省经济地理研究所

经济地理

CSTPCDCSSCICHSSCD北大核心
影响因子：2.575
ISSN：1000-8462
年,卷(期)：2024.44(4)