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Academic Journal of Business & Management, 2023, 5(9); doi: 10.25236/AJBM.2023.050924.

Research on Green Technology Innovation Efficiency of Industrial Enterprises in Qinghai Province

Author(s)

Yang Zhuo, Dou Hongna, Xin Yuhan

Corresponding Author:
Yang Zhuo
Affiliation(s)

Qinghai University, Xining, Qinghai, 810016, China

Abstract

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.

Keywords

industrial enterprises; green technology innovation efficiency; Super-NSBM

Cite This Paper

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.

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