The performance of green innovation: From an efficiency perspective. (December 2021)

• Record Type: Journal Article
• Authors: Zhao, Nan; Liu, Xiaojie; Pan, Changfeng; Wang, Chenyang
• Is Part Of: Socio-economic planning sciences. Number 78(2022)
• Publication Date: 2021-12
• Subjects: Green innovation efficiency -- SBM with undesirable outputs -- Vertical-and-horizontal scatter degree method -- σ-Convergence -- Spatial conditional β-convergence; Planning -- Periodicals; Economic policy -- Periodicals; Social policy -- Periodicals; Planification -- Périodiques; Politique économique -- Périodiques; Politique sociale -- Périodiques; ECONOMIC PLANNING; SOCIAL PLANNING; DECISION-MAKING; 361
• DOI: 10.1016/j.seps.2021.101062
• Languages: English
• ISSNs: 0038-0121

Abstract

Abstract: In this new stage of global economic development, we hope to achieve both economic development and environmental improvements via innovation. Green innovation aims to meet the dual goals of economic development and ecological protection. The scientific evaluation of the performance of China's green innovation appears to be quite meaningful. Some studies have evaluated the performance of green innovation, but are limited by the use of a single efficiency measurement method. To fill this research gap, this article uses a combination of two methods to evaluate green innovation efficiency, which provides a more precise evaluation of efficiency. Specifically, this article uses the vertical-and-horizontal scatter degree method to construct a pollutant index and then sets that index as the undesirable output in a slacks-based measure (SBM) model to evaluate efficiency. To further study the regional differences in green innovation efficiency, this article uses a convergence model. Most existing convergence analyses ignore spatial elements. Focusing on the influence of spatial factors, this article introduces a spatial econometric model into the convergence analyses. This article draws the following main conclusions. (i) The efficiency of green innovation in the country as a whole has been increasing each year, and green innovation efficiency in the central and western regions has increased significantly. (ii) Regional differences have narrowed each year. (iii) Green innovation efficiency is significantly positively spatially correlated, which is reflected in the spatial agglomeration of regions with the same efficiency level. (iv) Green innovation efficiency exhibits σ-convergence and spatial conditional β-convergence. (iv) Spatial factors accelerate the convergence of green innovation efficiency. Graphical abstract: Image 1 Highlights: A modified method is applied to measure green innovation efficiency, which generates more accurate results. Green innovation efficiency has significant spatial correlation. Evidence of σ-convergence and conditional β-convergence has been explored. Spatial factors accelerate the convergence of green innovation efficiency.