荆楚理工学院学报2024,Vol.39Issue(3) :44-54.

基于DEA-SBM超效率和Malmquist-Luenberger指数的中国工业绿色经济增长核算研究

Accounting Study on Green Economic Growth of Chinese Industries Based on DEA-SBM Super Efficiency and Malmquist-Luenberger Index

赵祺 陈媛媛 张秀娟
荆楚理工学院学报2024,Vol.39Issue(3) :44-54.

基于DEA-SBM超效率和Malmquist-Luenberger指数的中国工业绿色经济增长核算研究

Accounting Study on Green Economic Growth of Chinese Industries Based on DEA-SBM Super Efficiency and Malmquist-Luenberger Index

赵祺 1陈媛媛 1张秀娟1
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作者信息

  • 1. 巢湖学院工商管理学院,安徽巢湖 238000
  • 折叠

摘要

以 1997~2020 年我国 30 个省的数据为研究样本,分析中国各省市工业企业的绿色经济效率的影响因素.研究表明:我国各省市工业技术效率各地区间差异巨大.各省市工业绿色生产资金投入大都存在不足,资金管理水平也不高.因此,地方政府应坚持区域协同发展,相互借鉴学习,吸收总结经验.在资本积累的基础上应加强对生态环境质量的投资,发挥绿色技术外溢效应.

Abstract

Based on the data of 30 Chinese provinces from 1997 to 2020,the influencing factors of green economic efficiency of industrial enterprises in various provinces and cities in China are analyzed.The research shows that:the industrial technology effi-ciency of provinces and cities in China varies greatly.Most of the industrial green production investment in provinces and cities is insufficient,and the level of fund management is not high.Therefore,local governments should adhere to regional coordinated de-velopment,learn from each other,and absorb and summarize experience.On the basis of capital accumulation,we should strengthen the investment in ecological and environmental quality,and give full play to the spillover effect of green technology.

关键词

DEA模型/绿色经济/地区工业/增长核算

Key words

DEA model/Green economy/Regional industry/Growth accounting

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出版年

2024
荆楚理工学院学报
荆楚理工学院

荆楚理工学院学报

影响因子:0.168
ISSN:1008-4657
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