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中国老工业城市人口增长与收缩对碳排放强度的影响效应

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老工业城市由于其特殊的发展轨迹,碳排放强度明显高于全国平均水平,在人口增长与收缩并存的背景下,碳排放强度差异性凸显,深入探讨人口增长与收缩对碳排放强度的影响效应具有重要的理论意义与实践价值.基于此,本文利用夜间灯光反演出的碳排放数据,结合空间分析法和中介效应模型分析2001-2020年人口增长与收缩对老工业城市碳排放强度的影响效应,主要结论如下:①老工业城市碳排放强度整体下降,空间上呈现"北高南低"的特征,不同类型老工业城市碳排放强度演变轨迹具有差异性.②人口增长与收缩可以直接影响老工业城市碳排放强度的演变,此外,人口变化通过影响经济发展、科技创新、政策干预、城镇扩张、投资强度和对外开放引起碳排放强度的变化.③不同类型的老工业城市,人口变化对碳排放强度的作用路径具有独特性.
The influence of population growth and shrinkage on carbon emission intensity in old industrial cities of China
Due to their unique development course,old industrial cities,while making the historic contributions to the industrialization of China,have been trapped in the dilemma of path dependence.With the existence of numerous high-pollution,energy-intensive industries,the carbon emission intensity of old industrial cities is significantly higher than the national average.Against the background of the differentiated population changes in old industrial cities,the differences in carbon emission intensity among cities are prominent.In order to meet the targets of peak carbon emissions and carbon neutrality,it will be of important theoretical and practical value to explore the influence of population growth and shrinkage on carbon emission intensity and to propose differentiated control measures for old industrial cities of difference types.Under such circumstance,based on night light data,spatial analysis and mediator effect model were used to analyze the influence effect that population growth and shrinkage exert on carbon emission intensity of old industrial cities from 2001 to 2020.The main conclusions are as follows:(1)The overall carbon emission intensity of old industrial cities has decreased,showing the temporal characteristic of"dynamic convergence"and the spatial characteristic of"high in the north and low in the south".The differences between the north and the south have gradually become prominent,and the evolution course of carbon emission intensity in different types of old industrial cities varies.According to the results of Bivariate Spatial Autocorrelation Methods,there are significant negative spatial correlations between population change and carbon emission intensity.(2)The results of mediator effect model indicate that population growth and shrinkage can directly affect the evolution of carbon emission intensity in old industrial cities through agglomeration and scale effects.In addition,under different trends of population change,mediation variables show different changing features,influencing carbon emission intensity indirectly.(3)For old industrial cities of different types,the impact of population changes on carbon emission intensity manifests distinct paths.In terms of old industrial cities characterized by population growth,population changes influence carbon emission intensity mainly by technological innovation,policy intervention,urban expansion,investment intensity,and openness to foreign market.As for the cities featured by mild population shrinkage,carbon emission intensity is influenced by economic development,technological innovation,openness to foreign market,and urban expansion.For those featured by significant population shrinkage,carbon emission intensity is influenced by economic development,policy intervention and openness to foreign market.

old industrial citiespopulation shrinkagecarbon emission intensitymesomeric ef-fectnight light data

辛奕霖、刘艳军、柳力玮

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东北师范大学地理科学学院,长春 130024

老工业城市 人口收缩 碳排放强度 中介效应 夜间灯光数据

国家自然科学基金国家自然科学基金

4217119141771172

2024

地理研究
中国科学院地理科学与资源研究所

地理研究

CSTPCDCSSCICHSSCD北大核心
影响因子:2.214
ISSN:1000-0585
年,卷(期):2024.43(3)
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