Green technology innovation spillover effect and urban eco-efficiency convergence: Evidence from Chinese cities

Hua Shang, Li Jiang, Xianyou Pan and Xiongfeng Pan

Energy Economics, 2022, vol. 114, issue C

Abstract: Urban eco-efficiency, as an indicator to evaluate urban sustainability, has attracted increased attention, and green technology innovation has been proved to be an effective method to promote eco-efficiency. However, due to regional inequality, the level of eco-efficiency and green technology innovation vary in different cities, which is not conducive to overall development and should be dealt with. Thus, this study explores the influencing mechanism of green technology innovation spillover effect on urban eco-efficiency convergence with mathematical analysis, proposes an SBM model with undesirable outputs to evaluate Chinese cities' eco-efficiency from 2004 to 2018, judges cities' spatial correlation based on Moran's I index, and applies spatial Durbin model to investigate green technology innovation's direct and spillover effects on urban eco-efficiency convergence with time and regional differences. The results show that although there are large spatial differences in Chinese urban eco-efficiency, the overall urban eco-efficiency has improved gradually, and green technology innovation spillover effect can promote urban eco-efficiency convergence, but the degrees differ in time and region. The results of this study can be useful for solving the problem of unequal regional and urban eco-efficiency development by managing the distribution and transfer of green technology innovation in cities.

Keywords: Green technology innovation; Urban eco-efficiency; Spillover effect; Convergence; Undesirable output SBM model; Spatial Durbin model (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:114:y:2022:i:c:s0140988322004364

DOI: 10.1016/j.eneco.2022.106307

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