Green innovation efficiency across China’s 30 provinces: estimate, comparison, and convergence

Xingle Long (), Chuanwang Sun, Chao Wu, Bin Chen and Kofi Agyenim Boateng
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Xingle Long: Beijing Institute of Technology
Chao Wu: Jiangsu University
Bin Chen: Jiangsu University
Kofi Agyenim Boateng: Jiangsu University

Mitigation and Adaptation Strategies for Global Change, 2020, vol. 25, issue 7, No 4, 1243-1260

Abstract: Abstract Considering government and market failure of environmental regulation to combat increasing GHG (greenhouse gas) emissions, green innovation can mitigate pollution through production processes and clean production. This paper aims to investigate endogenous green innovation efficiency and its convergence across China’s 30 provinces from 2004 to 2014. Due to factor endowment heterogeneity, it is important to explore the convergence of green innovation efficiency among China’s different regions, which can compare green innovation efficiency spatially and propose scientific policy implications for regions with relatively weaker green innovation efficiency. Green innovation efficiency is evaluated through epsilon-based measure (EBM) global Malmquist-Luenberger (ML) in order to overcome the demerits of radial model and slacks-based measure (SBM). Panel unit root test is implemented to explore the convergence of green innovation efficiency across different provinces of China, which addresses the invalid inference of conventional β convergence. The empirical analysis revealed that green innovation efficiency in the east is the highest among four regions of China. Unit root test of panel data revealed that the northeast had the highest convergence among China’s four regions. It is important to enhance green innovation capacity, and expand knowledge spillover of green innovation technology in order to mitigate GHG emissions.

Keywords: Convergence; Green innovation efficiency; Unit root; Epsilon-based measure (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11027-019-09903-3

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