我国区域绿色技术创新效率的分类测度和提升模式研究——基于非期望产出的SBM-SupSBM模型

doi:10.12005/orms.2022.0132

运筹与管理 ›› 2022, Vol. 31 ›› Issue (4): 184-189.DOI: 10.12005/orms.2022.0132

我国区域绿色技术创新效率的分类测度和提升模式研究——基于非期望产出的SBM-SupSBM模型

李昊¹, 范德成², 张书华¹, 马丽宏³

1.天津财经大学管理科学与工程学院,天津 300222;
2.哈尔滨工程大学经济管理学院,黑龙江哈尔滨 150001;
3.黑龙江大学化学化工与材料学院,黑龙江哈尔滨 150001

收稿日期:2019-12-24 出版日期:2022-04-25 发布日期:2022-05-13
作者简介:李昊(1989-),女,黑龙江哈尔滨人,讲师,博士,研究方向:产业结构演化;范德成(1964-),男,山东德州人,教授,博士生导师,研究方向:管理系统工程;张书华(1959-),男,天津人,教授,博士生导师,研究方向:管理科学与工程;马丽宏(1974-),女,内蒙古开鲁人,硕士,研究方向:农业农村发展。
基金资助:
天津社科规划项目(TJGLQN20-002)

Research on the Classified Measurement and Promotion Modes of Regional Green Technology Innovation Efficiency in China ——SBM-SupSBM Model Based on Unexpected Output

LI Hao¹, FAN De-cheng², ZHANG Shu-hua¹, MA Li-hong³

1. School of Management Science and Engineering, Tianjin University of Economics and Finance, Tianjin 300222, China;
2. Co-Innovation Center for Computable Modeling in Management Science, Tianjin University of Economics and Finance, Tianjin 300222, China;
3. School of Economics and Management, Harbin Engineering University, Harbin 150001, China

Received:2019-12-24 Online:2022-04-25 Published:2022-05-13

摘要/Abstract

摘要： 本文首先运用考虑非期望产出的SBM-SupSBM模型估计我国各省市绿色技术创新效率并进行分类:稳定上升类、平稳类、大幅度波动类以及下降类。之后从企业内部和外部两方面对绿色技术创新效率提升的影响因素提出假设,着重考虑大幅度波动类别省份的效率提升。运用面板数据模型各影响因素进行验证,结论显示:企业规模对绿色技术创新效率波动较大的省份起到显著的抑制作用,环境规制和技术进步对绿色技术创新效率波动较大的省份作用不明显。针对分析结果,提出结论:在提升绿色技术创新效率的过程中,应注重企业规模和技术进步的协同作用,以及技术的开放程度。

关键词: 绿色技术创新效率, 提升模式, 非期望产出, SBM-SupSBM模型

Abstract: In this paper, SBM-SupSBM model considering unexpected output is used to estimate and classify the green technology innovation efficiency of provinces and cities in China: stable rising, stable, large fluctuation and falling categories. Then, from the internal and external aspects of the enterprise, the paper puts forward the hypothesis on the influencing factors of green technology innovation efficiency improvement, focusing on the efficiency improvement of provinces with large fluctuations. We use panel data model to verify the influencing factors. The results show that: the scale of enterprises has a significant inhibitory effect on the provinces where the efficiency of green technology innovation fluctuates greatly, while the environmental regulations and technological progress have no significant effect on the provinces where the efficiency of green technology innovation fluctuates greatly. The paper puts forward the conclusion: in the process of improving the efficiency of green technology innovation, we should pay attention to the synergy of enterprise scale and technology progress, as well as the degree of technology openness.

Key words: green technology innovation efficiency, promotion mode, unexpected output, SBM-SupSBM

中图分类号:

F062.9

李昊, 范德成, 张书华, 马丽宏. 我国区域绿色技术创新效率的分类测度和提升模式研究——基于非期望产出的SBM-SupSBM模型[J]. 运筹与管理, 2022, 31(4): 184-189.

LI Hao, FAN De-cheng, ZHANG Shu-hua, MA Li-hong. Research on the Classified Measurement and Promotion Modes of Regional Green Technology Innovation Efficiency in China ——SBM-SupSBM Model Based on Unexpected Output[J]. Operations Research and Management Science, 2022, 31(4): 184-189.

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我国区域绿色技术创新效率的分类测度和提升模式研究——基于非期望产出的SBM-SupSBM模型

Research on the Classified Measurement and Promotion Modes of Regional Green Technology Innovation Efficiency in China ——SBM-SupSBM Model Based on Unexpected Output

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