Research on Green Economic Efficiency of the Pearl River-Xijiang Economic Belt
Abstract
It is the theme of today to develop green economy and improve green economic efficiency. This paper first uses the Super-SBM model with undesired output to measure the green economic efficiency of the Pearl River-Xijiang Economic Belt from 2011 to 2020, and analyses it from the two dimensions of time and space, and then analyses the redundancy and deficiency of input and output. The results show that : (1) There are significant temporal and spatial differences in green economic efficiency in the Pearl River-Xijiang Economic Belt. Overall, from a temporal perspective ,the green economic efficiency of the Pearl River-Xijiang Economic Belt shows a upward trend , compared with 2011, the green economy efficiency of the four cities in Guangdong decreased in 2020, while the seven cities in Guangxi are the opposite, from a spatial perspective, it has obvious regional differences, showing a spatial pattern of high in the east and low in the west .(2) From the perspective of input redundancy, capital > energy > labor. As a measure of undesired output, GDP has a redundancy of 0. The redundancy of industrial wastewater discharge, industrial SO2 discharge and industrial soot discharge is high.
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Yuan HX, Feng YD, Lee CC, Cen Y. How does manufacturing agglomeration affect green economic efficiency?[J]. Energy Economics,2020,92.
Yuan HX, Zou LH, Luo XY, Feng YD. How Does Manufacturing Agglomeration Affect Green Development? A Spatial and Nonlinear Perspective[J]. International Journal of Environmental Research and Public Health,2022,19(16).
Su JL, Ma ZQ, Wang Y, Wang XX. Evaluation and Spatial Correlation Analysis of Green Economic Growth Efficiency in Yangtze River Delta Urban Agglomeration[J]. Sustainability, 2023, 15(3).
Zhang XP, Li YF, Wu WJ. Evaluation of Urban Resource and Environmental Efficiency in China Based on the DEA Model[J]. Journal of Resources and Ecology,2014,5(1).
Ming XL. Green development level of nine cities within the Pearl River Delta, China[J]. Journal of Cleaner Production, 2018, 174.
Kaoru Tone. A slacks-based measure of super-efficiency in data envelopment analysis[J]. European Journal of Operational Research,2002,143(1).
Chen YF, Miao JF, Zhu ZT. Measuring green total factor productivity of China's agricultural sector: A three-stage SBM-DEA model with non-point source pollution and CO2 emissions[J]. Journal of Cleaner Production,2021,318.
Kuang B, Lu XH, Zhou M, Chen DL. Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered[J]. Technological Forecasting & Social Change,2020,151(C).
DOI: http://dx.doi.org/10.18686/fm.v8i3.7889
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