Low-carbon spatial differences of renewable energy technologies: Empirical evidence from the Yangtze River Economic Belt

Feng Li, Hao Liu, Yinhan Ma, Xiaohua Xie, Yunshu Wang and Yejun Yang

Technological Forecasting and Social Change, 2022, vol. 183, issue C

Abstract: Under the “double carbon” target, renewable energy technologies offer a new low-carbon development path for human society. This paper selects the Yangtze River Economic Belt as the research area, introduces the classification of the renewable energy technologies from the perspective of patents and uses the Super-SBM model, entropy TOPSIS method and spatial Durbin model to empirically analyze the spatial spillover effects of the renewable energy technologies on carbon emission efficiency (CEE) and optimal development range. The analysis conclusions are as follows: First, there are differences in geographical location and geographic distance between the eastern and the western regions. The CEE is spatially correlated, but the permeability is weak, which specifically reflects the stepwise difference in the eastern, central and western regions of the spatial dimension and the path correlation in the time dimension. Then, the effects of the renewable energy technologies on CEE are all positive, showing continuous and effective positive promotion effects, but the performance of technology diffusion is poor, the spillover effect on the adjacent regions is not obvious. And finally, the positive promotion effect of the renewable energy technologies on CEE is affected by the interval of its double threshold effect.

Keywords: Renewable energy technologies; Carbon emission efficiency; Spatial Durbin model; Spatial difference (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:183:y:2022:i:c:s0040162522004206

DOI: 10.1016/j.techfore.2022.121897

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