Abstract
The industrial revolution has brought a leap in productivity; however, some severe ecological environment and resource problems are coming out with the development of industrialization. To achieve sustainable development of social economy, green technology innovation emerges in response to the proper time and conditions. In this context, the correct approach to measure the efficiency of green technology innovation in China’s industrial enterprises is an important research topic. Based on existing studies, this paper divides innovation activities into two stages based on the innovation value chain and constructs a two-stage evaluation index system including all kinds of undesirable outputs transferred from negative externalities of the ecological environment. To evaluate green technology innovation efficiency, SBM and EBM network DEA models are applied to conduct empirical analysis from the perspective of time and space. This paper also calculates the efficiency values based on the SBM model and the EBM model, respectively, and compares the differences between them. The results show that the efficiency value of the achievement transformation stage is significantly higher than that of technology development stage; there are noticeable gaps in the efficiency of green technology innovation between different regions of China. Besides, the eastern region has a better performance in green technology innovation than the western region and Qinghai has the best green technology innovation performance. Combining the empirical results, the corresponding policy recommendations are put forward.
Highlights
Academic Editor: Gordon Huang e industrial revolution has brought a leap in productivity; some severe ecological environment and resource problems are coming out with the development of industrialization
To achieve sustainable development of social economy, green technology innovation emerges in response to the proper time and conditions
This paper divides innovation activities into two stages based on the innovation value chain and constructs a two-stage evaluation index system including all kinds of undesirable outputs transferred from negative externalities of the ecological environment
Summary
Many scholars have further investigated their research on green innovation efficiency, and their perspectives and methods have been gradually multiplex. Luo and Liang [2] and Qian et al [3] regarded environmental load as undesirable output and measured the efficiency of regional green innovation in China using various extended DEA models In their analysis, they all find a significant regional difference of “high in the east and low in the west” in terms of China’s green innovation efficiency. This paper divides the innovation activities into two stages: technology development and achievement transformation, and the essence of achievement transformation stage is industrialization On this basis, environmental indicators are taken into account in the second stage as undesirable outputs during evaluation. To make results more convincing, this paper employs the SBM network DEA model and EBM network DEA model to conduct a comprehensive evaluation and analyzes the green innovation efficiency from the perspective of time and space based on SBM efficiency value and EBM efficiency value
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