THE IMPACT OF ECONOMIC GROWTH ON ENVIRONMENTAL EFFICIENCY IN CHINA WITH EXTENDED SBM MODEL

Junjun Li, Limei Zhou
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Abstract

An extended SBM model is proposed to measure the provincial environmental efficiency including undesirable input and undesirable output in window analysis. In the index system, energy consumption is used as an undesirable input as a new approach and undesirable output is a different combination of three kinds of pollution emissions (SO 2 , COD, and CO 2 ), and the dataset covers 30 provinces in China from 2005 to 2017. It is found that there is a big gap in the environmental efficiency scores among different provinces and higher scores in the east region and lower scores in the west region. In the long run, it has the property of a generally upward trend and regional convergence and there is a strong positive relationship with economic growth. Then, a variety of econometric models, including panel data model, GMM model, and panel Tobit model test the N-shape curve reflecting the relationship between environmental efficiency and economic growth, and the conclusions are consistent with robust results. economic efficiency panel model, model, and model. The conclusions obtained are consistent, and the results are robust.
基于扩展SBM模型的中国经济增长对环境效率的影响
在窗口分析中,提出了一种扩展的SBM模型来度量省域环境效率,包括不期望投入和不期望产出。在指标体系中,将能源消耗作为不良投入作为一种新方法,不良产出是三种污染排放(so2、COD和CO 2)的不同组合,数据集覆盖了2005 - 2017年中国30个省份。研究发现,各省区环境效率得分存在较大差距,呈现出东高西低的格局。从长期来看,它具有总体上升趋势和区域收敛性,与经济增长存在较强的正相关关系。通过面板数据模型、GMM模型、面板Tobit模型等多种计量模型对反映环境效率与经济增长关系的n型曲线进行检验,得出的结论与稳健的结果一致。经济效率面板模型、模型、模型。所得结论是一致的,结果是稳健的。
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