基于SBM-Malmquist-Luenberger模型工业环境效率研究

Study on Industrial Environmental Efficiency Based on SBM-Malmquist-Luenberger Model

为探究安徽省工业环境效率现状,促进区域生态经济可持续发展,基于SBM-Undesirable模型对安徽省16市2010—2019年工业环境效率进行衡量,采用探索性空间数据分析工具进行工业环境效率空间可视化表达,借助核密度估计法解析工业环境效率动态演变趋势,采用Malmquist-Luenberger指数探寻影响工业环境效率的原因。结果表明:安徽省16市工业环境效率总体上呈波动上升趋势,空间上表现为由北向南递增的态势;核密度曲线揭示出工业环境效率较低但一直不断提高的特征,由Malmquist-Luenberger指数测算得知技术进步是影响工业环境效率的关键原因。

In order to explore the current situation of industrial environmental efficiency of Anhui Province and promote the sustainable development of regional ecological economy,the industrial environmental efficiency in 16 cities of Anhui Province from 2010 to 2019 was measured based on SBM-Undesirable model.An exploratory space data analysis tool was used to visualize the industrial environmental efficiency in space,and the dynamic evolution trend of industrial environmental efficiency was analyzed with the help of Kernel density estimation.Malmquist-Luenberger index was used to explore the causes of influencing industrial environmental efficiency.The results show that the industrial environmental efficiency in 16 cities of Anhui Province fluctuates and increases from north to south in space.The Kernel density curve reveals that the industrial environmental efficiency is low but constantly improving.According to the Malmquist-Luenberger index,technological progress is the key factor affecting the industrial environmental efficiency.