Spatial autocorrelation analysis of the environmental efficiency of coal-fired power plants in China
Spatial autocorrelation analysis of the environmental efficiency of coal-fired power plants in China
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DOI：
10.1007/s10098-022-02310-4
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发表时间：
2022-04
影响因子：
4.3
通讯作者：
Tomoaki Nakaishi;Fumiya Nagashima;S. Kagawa
中科院分区：
文献类型：
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作者：
Tomoaki Nakaishi;Fumiya Nagashima;S. Kagawa
虽然许多研究分析了中国燃煤电厂的环境效率，以减少CO2排放量为目标，但很少关注电厂的位置及其空间格局。本文研究了2002 - 2011年中国燃煤电厂环境效率的空间依赖性。我们采用了一个综合的框架，数据分析和空间自相关分析。通过实证分析，我们得出以下三个主要结论：（1）研究期间，我国火电厂环境效率总体呈上升趋势，沿海与内陆地区的环境效率差距缩小;（2）我国火电厂环境效率水平之间存在正的空间自相关性，且这种空间集聚性逐年增加;（3）高效率发电厂在空间上集中在沿海地区，而低效率发电厂集中在内陆地区。基于这些发现，我们得出结论，相邻电厂管理者之间的合作对于实现有效的环境效率改善至关重要，中央和地方政府应该促进电厂之间的知识和技术溢出。
Although many studies have analyzed the environmental efficiency of coal-fired power plants in China with the aim of reducing CO2emissions, there has been much less focus on the locations of the plants and their spatial pattern. In this study, we investigate the spatial dependence of environmental efficiency for coal-fired power plants in China from 2002 to 2011. We apply an integrated framework of data envelopment analysis and spatial autocorrelation analysis. We deduce the following three main findings from our empirical analysis: (1) the overall environmental efficiency of power plants increased during the study period, and the gap between the environmental efficiency of coastal and inland areas was reduced; (2) there is a positive spatial autocorrelation among the environmental efficiency levels of coal-fired power plants in China, and this spatial agglomeration has increased annually; and (3) high-efficiency power plants are spatially clustered in coastal areas while low-efficiency power plants are clustered in inland areas. Based on these findings, we conclude that cooperation among neighboring power plant managers is crucial to achieving effective environmental efficiency improvements, and that central and local governments should facilitate knowledge and technology spillover among the power plants.Graphical abstract