技术与创新管理2026，Vol.47Issue(1)：1-9,23,10.DOI:10.14090/j.cnki.jscx.2026.0101
考虑非期望产出的智能制造企业绿色技术创新效率研究
Innovation Efficiency of Green Technology in Intelligent Manufacturing Enterprises Considering Undesired Output
摘要
Abstract
Considering the"unexpected output"of intelligent manufacturing in the production process,this paper collects the input and output data of 87 listed intelligent manufacturing enterprises in our country from 2016 to 2023,constructs an evaluation model of green technology innovation efficiency of intelligent manufacturing enterprises,uses the super-efficiency SBM model to evaluate the green tech-nology innovation efficiency of sample enterprises from a static perspective,and comprehensively analy-zes the changing trend of green technology innovation efficiency of enterprises from the dynamic level with the help of GML index.The results show that from 2016 to 2023,the green technology innovation efficiency of listed intelligent manufacturing enterprises in our country is not high,mainly fluctuating and rising,and the progress of green technology innovation efficiency is mainly due to the growth of the technical efficiency change index,while the decline of pure technical efficiency is the main factor re-stricting the improvement of green technology innovation efficiency of enterprises.Finally,based on the research results,relevant management strategies are proposed to enhance the efficiency of green tech-nology innovation of intelligent manufacturing enterprises and comprehensively promote the transforma-tion of intelligent manufacturing enterprises to green production from macro and micro perspectives.关键词
绿色技术创新/非期望产出/超效率SBM模型/GML指数/智能制造Key words
green technology innovation/undesired outputs/super-efficient SBM model/GML index/smart manufacturing分类
管理科学引用本文复制引用
尹洁,陆砚棋,李锋..考虑非期望产出的智能制造企业绿色技术创新效率研究[J].技术与创新管理,2026,47(1):1-9,23,10.基金项目
江苏省学位与研究生教育教学改革课题"专业学位硕士研究生创新创业教育模式构建与实践研究"(JGKT24_C096) （JGKT24_C096）
江苏省教育科学规划重点课题"基于专创融合的创新创业教育生态体系构建与实践路径研究"(Bb/2024/01/102) （Bb/2024/01/102）
江苏高校"青蓝工程"资助(2024) （2024）
