中国城市碳排放强度的空间溢出效应及驱动因素探究（英文）

编号 zgly0001660577

文献类型 期刊论文

文献题名 中国城市碳排放强度的空间溢出效应及驱动因素探究（英文）

作者 王少剑  黄永源  周钰荃 

作者单位 GuangdongProvincialKeyLaboratoryofUrbanizationandGeo-simulation  SchoolofGeographyandPlanning  SunYat-senUniversity 

母体文献 Journal of Geographical Sciences 

年卷期 2019年02期

年份 2019 

分类号 X321 

关键词 Chinesecities  kerneldensityestimation  spatialautocorrelation  spatialspillovereffect  spatialMarkovchain  quantileregressionpanelmodel 

文摘内容 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 differences gradually narrowing.(2) The spatial autocorrelation Moran’s I index indicates significant spatial agglomeration of carbon emission intensity is 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 Spatial 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 has a higher probability of upward transfer, and vice versa.(4) Panel quantile results indicate that in cities with low carbon emission intensity, economic growth, technological progress, and appropriate population density play an important role in reducing emissions. In addition, foreign investment intensity and traffic emissions are the main factors that increase carbon emission intensity. In cities with high carbon intensity, population density is an important emission reduction factor, and technological progress has no significant effect. In contrast, industrial emissions, extensive capital investment, and urban land expansion are the main factors driving the increase in carbon intensity.