Evaluation of Green Industry Innovation Efficiency Based on Three-Stage DEA Model: A Case Study of Chinese Information Technology Industry

被引:5
作者
Zhang, Yongli [1 ,2 ]
An, Yihui [3 ]
Wang, Yan [4 ]
机构
[1] Tianjin Univ Sci & Technol, Coll Econ & Management, Tianjin 300222, Peoples R China
[2] Hebei GEO Univ, Sch Management, Shijiazhuang 050031, Peoples R China
[3] Hebei GEO Univ, Sch Urban Geol & Engn, Shijiazhuang 050031, Peoples R China
[4] Shanghai Ocean Univ, Coll Econ & Management, Shanghai 200000, Peoples R China
关键词
information technology industry; enterprise innovation; three-stage DEA model; GROWTH; ENERGY;
D O I
10.3390/su15086368
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The information technology industry as a new engine driving China's economy has made more and more contributions to Chinese sustainable development. At present, it has overtaken real estate as the new cradle of Chinese billionaires. The information technology industry not only has its own characteristics of high economic, social benefits, and small impact on the ecological environment, but also can enable the green development of the economy and society. So it is the core industry to support the realization of the "double carbon" goal. This paper evaluated the innovation efficiency of 80 enterprises in the software and information technology service from 2017 to 2018 by constructing a three-stage DEA model. It puts forward countermeasures, which points out the direction for the development of environmental protection and green low-carbon industry. Empirical results show that environmental variables have different effects on innovation efficiency. After excluding the influence of environmental and random factors, the increase in innovation efficiency, while generally significant, is not high. Low innovation efficiency is caused by both pure technical efficiency and scale efficiency, especially pure technical efficiency. Enterprises' adjusted scale returns are mostly increasing; the innovation investment scale is not optimal. Regional differences of enterprise innovation exist; the East and Midwest have obvious polarization both in quantity and quality. These results quantify the effect of the factors affecting enterprise innovation efficiency and put forward policies and suggestions for promoting the development of China's information technology industry accordingly.
引用
收藏
页数:22
相关论文
共 38 条
[31]  
Wang J., 2016, J. Xi'an Jiaotong Univ, V36, P40, DOI [10.15896/j.xjtuskxb.201606007, DOI 10.15896/J.XJTUSKXB.201606007]
[32]   产品市场竞争与企业创新:一项准自然实验 [J].
王靖宇 ;
付嘉宁 ;
张宏亮 .
现代财经(天津财经大学学报), 2019, 39 (12) :52-66
[33]  
张璘, 2002, [华西医科大学学报, Journal of west china university of medical sciences], V33, P309
[34]  
Wang Y.-M., 2019, J TECH EC MANAG, V272, P25
[35]  
Wu Q., 2014, IND EC RES, V73, P41, DOI [10.13269/j.cnki.ier.2014.06.005, DOI 10.13269/J.CNKI.IER.2014.06.005]
[36]  
Xiao S., 2020, J BEIJING I TECHNOL, V22, P57, DOI [10.15918/j.jbitss1009-3370.2020.1666, DOI 10.15918/J.JBITSS1009-3370.2020.1666]
[37]  
Zhang Z.-G., 2023, MATH PRACTICE THEORY, P1
[38]   A two-stage DEA evaluation of Chinese mining industry technological innovation efficiency and eco-efficiency [J].
Zuo, Zhili ;
Guo, Haixiang ;
Li, Yonglin ;
Cheng, Jinhua .
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2022, 94