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以2003~2012年我国30个省级经济单元为研究对象,从技术进步视角出发,利用包含非期望产出的SBM模型测算各省份工业碳排放效率,运用非参数Kernel密度估计方法研究各省份出口贸易和工业碳排放效率的动态演进过程,构建空间杜宾模型进一步考察出口贸易对工业碳排放效率的影响。研究结果表明:我国东部地区的工业碳排放效率最高,依次为中部、西部地区和东北综合经济区;核密度曲线展现出口贸易整体处于上升态势,工业碳排放效率呈现双峰趋同;在考虑空间因素后,出口贸易对本地区的工业碳排放效率改善产生促进作用,但对其他地区的工业碳排放效率增长产生抑制作用,也有碍于所有地区碳排放效率的提升。
Taking the 30 provincial economic units in China from 2003 to 2012 as the research object, from the perspective of technological progress, the SBM model with non-expected output was used to calculate the industrial carbon emission efficiency in each province. The non-parametric Kernel density estimation method was used to study the export of each province Trade and industrial carbon emissions efficiency of the dynamic evolution process, building a spatial Dubin model to further examine the impact of export trade on industrial carbon emissions efficiency. The results show that the efficiency of industrial carbon emission in the eastern part of China is the highest, followed by the central, western and northeast integrated economic zones. The nuclear density curve shows that the export trade is on the rise and the industrial carbon emission efficiency shows a bimodal convergence. When considering the spatial factors Afterwards, export trade can promote the improvement of industrial carbon emission efficiency in this region, but it can also restrain the growth of industrial carbon emission efficiency in other regions and also impede the improvement of carbon emission efficiency in all regions.