摘要
文章沿着绿色技术创新效率初次测度—客观外生性因素剔除—真实绿色技术创新效率复测的分析思路,在剔除了空间异质性、外部环境与随机误差项后,基于改进的三阶段超效率SBM-DEA模型测算了2010—2021年我国30个省份工业企业的绿色技术创新效率值。运用因子分析法提取了最能影响绿色创新效率的综合创新投入指标,按照创新综合投入-效率的得分高低构造了创新生产模式组合象限图,并逐一分析了不同生产组合模式下的省份特征。
This paper follows the evolutionary logic of the first measurement of green technology innovation efficiency(GTIE)—objective exogenous factor elimination—real GTIE re-measurement.After excluding the impact of spatial heterogeneity,external environment and random errors,the paper dynamically calculates the GTIE of industrial enterprises in 30 provinces of China from 2010 to 2021 based on the improved three-stage SBM-DEA model.Factor analysis is adopted to extract the comprehensive innovation input index that can most affect the efficiency of green innovation.According to the score of comprehensive innovation input-efficiency,the innovation production mode combination quadrant graph is constructed,and the characteristics of provinces under different production combination modes are analyzed.
作者
林寿富
王谦
管河山
Lin Shoufu;Wang Qian;Guan Heshan(School of Economics,Fujian Normal University,Fuzhou 350007,China;School of Economics,Management and Law,University of South China,Hengyang Hunan 421001,China)
出处
《统计与决策》
CSSCI
北大核心
2023年第16期163-168,共6页
Statistics & Decision
基金
国家社会科学基金一般项目(20BJL139)。
