Spatial spillover effect and driving forces of carbon emission intensity at the city level in China

Spatial spillover effect and driving forces of carbon

emission intensity at the city level in China

WANG Shaojian;HUANG Yongyuan;ZHOU Yuquan

【期刊名称】《地理学报（英文版）》 【年(卷),期】2024(029)002

【摘要】In this study,we adopt kernel density estimation,spatial autocorrelation,spatial Markov chain,and panel quantile regression methods to analyze spatial spillover effects and driving factors of carbon emission intensity in 283 Chinese cities from 1992 to 2013.The following results were obtained.(1) Nuclear density estimation shows that the overall average carbon intensity of cities in China has decreased,with autocorrelation agglomeration

differences Moran's of

I

gradually index

narrowing.(2)The

significant

is

spatial spatial

indicates

carbon emission intensity gradually

increasing;however,differences between regions have remained stable.(3) Spatial Markov chain analysis shows a Matthew effect in China's urban carbon emission intensity.In addition,low-intensity and high-intensity cities characteristically maintain their initial state during the transition period.Furthermore,there is a clear \Spillover\effect in urban carbon emission intensity and there is heterogeneity in the spillover effect in different regional contexts;that is,if a city is near a city with low carbon emission intensity,the carbon emission intensity of the first city