The efficiency evaluation and influencing factor analysis of regional green innovation: a refined dynamic network slacks-based measure approach
ISSN: 0368-492X
Article publication date: 23 March 2023
Issue publication date: 2 May 2024
Abstract
Purpose
This study aims to propose a refined dynamic network slacks-based measure (DNSBM) to evaluate the efficiency of China's regional green innovation system which consists of basic research, applied research and commercialization stages and explore the influencing factors of the stage efficiency.
Design/methodology/approach
A two-step procedure is employed. The first step proposes an improved DNSBM model with flexible settings of stages' input or output efficiency and uses second order cone programming (SOCP) to solve the non-linear problem. In the second step, least absolute shrinkage and selection operator (LASSO) and Tobit models are used to explore the influencing factors of the stage efficiency. Global Dynamic Malmquist Productivity Index (GDMPI) and Dagum Gini coefficient decomposition method are introduced for further discussion of the productivity change and regional differences.
Findings
On average, Chinese provincial green innovation efficiency should be improved by 24.11% to become efficient. The commercialization stage outperforms the stages of basic research and applied research. Comparisons between the proposed model and input-oriented, output-oriented and non-oriented DNSBM models show that the proposed model is more advanced because it allows some stages to have output-oriented model characteristics while the other stages have input-oriented model characteristics. The examination of the influencing factors reveals that the three stages of the green innovation system have quite diverse influencing factors. Further discussion reveals that Chinese green innovation productivity has increased by 39.85%, which is driven mainly by technology progress, and the increasing tendency of regional differences between northern and southern China should be paid attention to.
Originality/value
This study proposes an improved dynamic three-stage slacks-based measure (SBM) model that allows calculating output efficiency in some stages and input efficiency in the other stages with the application of SOCP approach. In order to capture productivity change, this study develops a GDMPI based on the DNSBM model. In practice, the efficiency of regional green innovation in China and the factors that influence each stage are examined.
Keywords
Acknowledgements
The authors acknowledge the valuable efforts of the Editor-in-Chief, Professor Gandolfo Dominici. Furthermore, the authors would like to acknowledge the highly professional comments of the Associate Editor and two anonymous reviewers on the manuscript, which led to the improvement of this paper.
Citation
Fang, Z., Gui, W., Han, Z. and Lan, L. (2024), "The efficiency evaluation and influencing factor analysis of regional green innovation: a refined dynamic network slacks-based measure approach", Kybernetes, Vol. 53 No. 6, pp. 2153-2193. https://doi.org/10.1108/K-03-2022-0420
Publisher
:Emerald Publishing Limited
Copyright © 2022, Emerald Publishing Limited