电力行业碳排放绩效地区差异及空间相关性分析

发布时间：2018-05-26 19:24

本文选题：电力行业 + 碳排放绩效　；参考：《工业技术经济》2014年11期

【摘要】：在全要素概念框架下,基于环境DEA技术构建碳排放绩效指数,运用窗口数据对我国30个省区2003~2012年间电力行业碳排放绩效进行测算,在此基础上,对我国电力行业碳排放效率的空间相关性进行了实证分析。结果表明:我国电力行业碳排放效率相对较低,整体呈现波动性变化趋势;且存在区域不平衡,呈现东部、东北向中西部递减的格局;碳排放效率较高的省份主要集聚于东部经济发达地区,而效率较低的省区则主要集中于经济欠发达地区。从空间相关分析来看,样本期间各省电力行业碳排放效率的全局Moran's I值均显著为正,表明电力行业碳排放效率呈现正的空间相关性,存在明显的空间集聚特征;局域空间自相关指数的测算进一步印证了电力行业碳排放绩效空间分布的非均衡性。基于上述分析提出了相关政策建议。
[Abstract]:In the framework of all-factor concept, carbon emission performance index is constructed based on environmental DEA technology, and the carbon emission performance of electric power industry is measured by using window data from 2003 to 2012 in 30 provinces and regions of China. The spatial correlation of carbon emission efficiency in power industry in China is analyzed empirically. The results show that the efficiency of carbon emission is relatively low in China's power industry, the overall trend is fluctuating, and there is regional imbalance, which is decreasing from the east to the central and western regions. The provinces with higher carbon emission efficiency are mainly concentrated in the economically developed areas in the east, while the less efficient provinces are mainly concentrated in the less developed areas. From the spatial correlation analysis, the overall Moran's I value of the power industry carbon emission efficiency in the sample period is significantly positive, indicating that the power industry carbon emission efficiency shows a positive spatial correlation, there is a clear spatial concentration characteristics; The measurement of local spatial autocorrelation index further confirms the disequilibrium of the spatial distribution of carbon emission performance in power industry. Based on the above analysis, the relevant policy recommendations are put forward.
【作者单位】：华北电力大学;
【分类号】：X773;F426.61

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