中国绿色经济效率的测算及影响因素——基于偏正态面板数据模型

首先利用带有非期望产出的SBM测算了2005—2015年中国29个省(自治区、直辖市)的绿色经济效率,并验证了其偏正态分布特征。在此基础上,构建了偏正态面板数据模型,研究了中国绿色经济效率的影响因素。然后,运用基于EM算法的极大似然法估计模型参数,并将其参数估计结果与正态面板数据模型的参数估计结果进行比较。结果表明:偏正态面板数据模型具有更好的统计优良性;经济发展水平、外资利用水平和教育投入对绿色经济效率具有正向影响;产业结构、城市化水平和污染治理投入对绿色经济效率产生负向影响。

Calculation and Influence Factors of Green Economic Efficiency of China: Based on Skew-normal Panel Data Model

This paper adopts the SBM with unexpected output to measure the green economic efficiencies of 29 provinces in China from 2005 to 2015 ,and tests the feature of skew-normal distribution .On this basis,it constructs the skew-normal panel model to confirm the influence factors of China's green economic efficiency .And then it uses the maximum likelihood method based on EM algorithm to estimate the parameters of this model ,and compares the parameter estimation result with the parameter estimation result of normal panel data model .The result indicates as fol-lows :the skew-normal panel data model has better statistical superiority ;economic development level ,foreign capital utilization level and invest-ment in education have positive impacts on China's green economic efficiency ,while industrial structure and urbanization level and investment in pollution control have negative impacts on green economic efficiency .