Yang Zhuo, Dou Hongna, Xin Yuhan
Qinghai University, Xining, Qinghai, 810016, China
Incorporating the concept of green innovation into the technical activities of industrial enterprises is the key to breaking through the constraints of the environment and resources and ensuring the sustainable development of the industry. In this paper, the emissions of three industrial wastes and investment in pollution control are included in the research, and the two-stage Super-NSBM model is used to study the green technology innovation efficiency of industrial enterprises in Qinghai Province. The results show that from 2006 to 2020, the overall level of green technology innovation efficiency of industrial enterprises in Qinghai Province is low, the efficiency value fluctuates greatly, and the total efficiency value and sub-stage efficiency value are unstable; the green technology innovation of industrial enterprises in Qinghai Province in 2020, the efficiency is weak and effective. The total efficiency value and the efficiency value of the technological innovation research and development stage are ranked first in the western region, but the efficiency value of the technological innovation achievement transformation stage is lower than that of Guangxi, Chongqing and Shanxi; the green technology innovation investment redundancy phenomenon is prominent, and resources has not been optimally allocated and utilized; the transformation efficiency of knowledge output in the process of marketization is low; the problem of environmental pollution is still severe.
industrial enterprises; green technology innovation efficiency; Super-NSBM
Yang Zhuo, Dou Hongna, Xin Yuhan. Research on Green Technology Innovation Efficiency of Industrial Enterprises in Qinghai Province. Academic Journal of Business & Management (2023) Vol. 5, Issue 9: 153-162. https://doi.org/10.25236/AJBM.2023.050924.
 Braun E, Wield D. Regulation as a means for the social control of technology [J].Technology Analysis & Strategic Management, 1994, 6(3):259-272.
 Lv Yan, Wang Weiqiang. Research on green technology innovation in enterprises [J]. Science Management Research, 1994(04):46-48.
 Shen Neng, Zhou Jingjing. Research on the efficiency of green innovation and the mechanism of key factors in China from the perspective of technological heterogeneity:Based on Hybrid DEA and structured equation model [J]. Journal of Management Engineering, 2018, 32(04):46-53.
 Zhang Likun, Zhang Yaping, Liang Yuan. Measurement and evaluation of green technology innovation efficiency of industrial enterprises in China--an analysis based on super-efficiency network SBM-Malmquist model [J]. Technoeconomics, 2022, 41(07):13-22.
 Chen W, Pan L, Lin C, et al. Efficiency Evaluation of Green Technology Innovation of China’s Industrial Enterprises Based on SBM Model and EBM Model[J]. Mathematical Problems in Engineering, 2021, 2021: 1-11.
 Du J, Liu Y, Diao W. Assessing Regional Differences in Green Innovation Efficiency of Industrial Enterprises in China [J]. International Journal of Environmental Research and Public Health, 2019, 16(6): 940.
 Chen W, Wang X, Peng N, et al. Evaluation of the Green Innovation Efficiency of Chinese Industrial Enterprises: Research Based on the Three-Stage Chain Network SBM Model[J]. Mathematical Problems in Engineering, 2020, 2020: 1-11.
 Ran Qiying, Yang Xiaodong. Research on the impact of international technology spillover on the efficiency of green technology innovation - a non-linear test of the moderating role of institutions based on a spatial perspective [J]. Eastern China Economic Management, 2020, 34(02):30-41.
 Cheng Qiongwen, He Xianxiang, Li Baosheng. Green technology innovation efficiency and its influencing factors - an empirical study based on 35 industrial sectors in China [J]. Journal of Central South University (Social Science Edition), 2020, 26(02):97-107.
 He Yujing, Cai Danyang. Analysis of green technology innovation efficiency of industrial enterprises in Yangtze River Delta and its influencing factors [J]. Chongqing Social Science, 2021, (01):49-63.
 Yu Qun. Research on the efficiency and enhancement path of industrial green technology innovation in the national ecological civilization demonstration province [D]. Nanchang University, 2018.
 Yu Yongze, Liu Dayong. Research on the path of improving regional innovation efficiency in China from the perspective of innovation value chain[J]. Scientific Research Management, 2014, 35(05):27-37.
 Fan Decheng, Li Shengnan. Research on the measurement and improvement path of regional high-tech industry technological innovation efficiency - based on shared input correlation type two-stage DEA model [J]. Operations Research and Management, 2019, 28(05):156-165.
 Tong Lianjun, Song Yanan, Han Ruiling, Li Mingsheng. Analysis of industrial environmental efficiency in the coastal economic zone of Liaoning[J]. Geoscience, 2012, 32(03):294-300.
 Tone K. A slacks-based measure of efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2001: 12.
 Tone K. A slacks-based measure of super-efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2002, 143(1): 3-41.
 Liu Shufeng, Du Debin, Qin Xionghe, Hou Chunguang. Analysis of spatial and temporal patterns and influencing factors of innovation efficiency in China based on the perspective of innovation value chain [J]. Geoscience, 2019, 39(02):173-182.
 Tone K, Tsutsui M. Network DEA: A slacks-based measure approach[J]. European Journal of Operational Research, 2009, 197(1): 243-252.
 Wang Meng. Research on the spatial and temporal evolution of green technology innovation efficiency and improvement path of industrial enterprises in western region [D]. Guizhou University of Finance and Economics, 2022.