School of Economy, Fujian Normal University, Fuzhou, 350117, People's Republic of China.
School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, 233030, People's Republic of China.
Environ Sci Pollut Res Int. 2021 Mar;28(10):12428-12440. doi: 10.1007/s11356-020-11128-w. Epub 2020 Oct 19.
This research constructs a super efficiency slack-based measure (SBM) model based on the Malmquist-Luenberger (ML) index to analyze the atmospheric environmental efficiency (AEE) of 30 provinces in China from 2000 to 2016 and explores the spatial and temporal differences of AEE by using the coefficient of variation method. This paper further analyzes the internal influencing factors of AEE via the ML index decomposition approach and establishes a panel data regression model to explore AEE's influencing factors in China. The results show some regional differences of the AEE level in China, with it the best in the eastern region and followed in order by the western and central region, and these differences exhibit an increasing trend year by year. During the study period, the development trend of AEE in China is similar to that in the eastern and western regions, showing a "W" shape, where in the central region it has a "U" pattern. The conclusion is that technical progress (TC) is the dominant factor affecting AEE, technical efficiency (EC) fails to effectively promote AEE improvement, and TC and EC present varying degrees of influence and different directions of action in the regions. The analysis results show that the influence effect of economic development on AEE presents a "U" pattern of first declining and then rising. The degree of China opening up to the outside world and its carbon dioxide emissions intensity have significant negative effects on AEE, whereas the increase of pollution control input effectively improves AEE.
本研究构建了一个基于 Malmquist-Luenberger (ML) 指数的超效率松弛测度 (SBM) 模型，以分析 2000 年至 2016 年中国 30 个省份的大气环境效率 (AEE)，并利用变异系数法探讨 AEE 的时空差异。本文进一步通过 ML 指数分解方法分析 AEE 的内部影响因素，并建立面板数据回归模型探讨中国 AEE 的影响因素。结果表明，中国 AEE 水平存在一定的区域差异，东部地区最好，其次是西部地区和中部地区，且这些差异呈逐年递增趋势。研究期间，中国 AEE 的发展趋势与东部和西部地区相似，呈“W”型，而中部地区呈“U”型。结论表明，技术进步 (TC) 是影响 AEE 的主导因素，技术效率 (EC) 未能有效促进 AEE 的提高，TC 和 EC 在各地区的影响程度和作用方向不同。分析结果表明，经济发展对 AEE 的影响呈现先下降后上升的“U”型模式。中国对外开放程度和二氧化碳排放强度对 AEE 具有显著的负向影响，而污染控制投入的增加则有效提高了 AEE。
