中国省域绿色创新效率测度、差异分析及影响因素  

Measurement,Difference Analysis and Influencing Factors of Provincial Green Innovation Efficiency in China

作　　者：刘子豪 王子涵 师路路 LIU Zihao;WANG Zihan;SHI Lulu(School of Flight,Anyang Institute of Technology,Anyang 455000,Henan,China)

机构地区：[1]安阳工学院飞行学院,河南安阳455000

出　　处：《科技和产业》2024年第17期63-68,共6页Science Technology and Industry

基　　金：安阳工学院2023—2024学年大学生科技创新项目。

摘　　要：绿色创新作为绿色发展和创新驱动战略的结合点,已成为全国绿色转型发展的重要战略目标。基于非期望产出的超效率SBM(slack-based measure)模型,对2012—2021年中国省域绿色创新效率测度评价,结合Dagum基尼系数对绿色创新效率进行差异分析,最后使用Tobit回归模型进行影响因素分析。研究结果表明:中国整体的绿色创新效率逐渐提高,但总的基尼系数呈现“W”型趋势,经济发展水平、市场竞争强度、对外开发水平和政府扶持力度均可显著提高绿色创新效率。根据研究结果,为提升绿色创新效率、缩小地区差异性提出对策建议。As the combination of green development and innovation-driven strategies,green innovation has become an important strategic goal of China’s green transformation and development.Based on the super-efficiency SBM(slack-based measure)model of undesired output,the measurement and evaluation of China’s provincial green innovation efficiency from 2012 to 2021 is evaluated,the Dagum Gini coefficient is used to analyze the difference of China’s green innovation efficiency,and the Tobit regression model is used to analyze the influencing factors.The results show that China’s overall green innovation efficiency is gradually improving,but the overall Gini coefficient shows a“W-shaped”trend,and the level of economic development,market competition intensity,foreign development level and government support can significantly improve China’s green innovation efficiency.According to the research results,countermeasures and suggestions are put forward to improve the efficiency of green innovation and reduce regional differences in China.

关 键 词：省域绿色创新效率 超效率SBM(slack-based measure) TOBIT模型 Dagum基尼系数 

分 类 号：F124[经济管理—世界经济]