Urban Carbon Emission Performance in China:Dynamic Decomposition,Spatial Difference and Influencing Factors
Based on the non-radial direction distance function,the total factor carbon emission performance index is constructed to measure the urban carbon emission governance performance in China from 2006 to 2019.On the basis,by calculating and decomposing the dynamic index of common boundary carbon emission performance,the intertemporal dynamic change of total factor carbon emission performance index and the dynamic change of efficiency improvement,technological progress and technological gap are measured.In addition,Gini coefficient and Gini coefficient subgroup decomposition methods are used to identify the spatial differentiation and sources of carbon emission performance among urban agglomerations.Finally,Lasso analysis and geographical detector methods are used to test the influencing factors and heterogeneity of carbon emission performance of Chinese cities and urban agglomerations.Here are the outcomes and implications:During the sample period,the average total factor carbon emission performance index of all cities in China fluctuates and increases.The dynamic decomposition results show that the average carbon emission performance level of all cities in China has been continuously improved,but a few cities has promoted the production technology frontier in the same period.The contribution of best practice change effect increases year by year,but the contribution of efficiency change effect is insufficient.In terms of spatial differentiation,the average carbon emission performance of urban agglomerations in the Pearl River Delta,Yangtze River Delta,Guangdong,Fujian and Zhejiang coastal areas and the middle reaches of the Yangtze River is generally higher,while the carbon emission performance of urban agglomerations in the eastern region is relatively higher.In the central and western urban agglomerations,only Chengdu-Chongqing urban agglomerations have relatively good carbon emission performance,while other urban agglomerations have poor carbon emission performance.However,the Central Plains City cluster and the Beijing-Tianjin-Hebei City cluster have improved their carbon emission performance faster in recent years.The Gini coefficient measurement and its decomposition show that,the degree of differentiation of urban carbon emission performance index in China has gradually deepened in recent years,and the main cause of differentiation is the difference among urban groups,and the difference within urban agglomerations contributes less.Lasso analysis and dual-fixed panel model analysis show that,economic development level,clean energy using,financial development,green environmental protection and scientific and technological support can effectively improve the carbon emission performance of the city.Energy consumption intensity and the proportion of secondary industry employment have a negative impact on carbon emission performance.The detection results of urban agglomeration factors show that there are some differences in driving factors among urban agglomerations,but energy intensity,clean energy efficiency and economic development are the leading factors of carbon emission performance in most urban agglomerations.The research results provide the following insights for China's low-carbon economic transition:First,continue to improve the incentive mechanism of technological innovation.Second,pay more attention to the imbalance of low-carbon transition among regions.Third,differentiated development ideas should be formulated according to the different needs of regions.
carbon emissionspatial and temporal patternregional differencecommon frontnon-radial distance function
万方数据
维普
