Influence of green finance on carbon emission intensity: empirical evidence from China based on spatial metrology

Environ Sci Pollut Res Int. 2023 Feb;30(8):20310-20326. doi: 10.1007/s11356-022-23523-6. Epub 2022 Oct 17.

Abstract

Based on the panel data of 30 provinces in China from 2011 to 2020, this paper empirically examines the direct effect, spatial spillover effect, and total effect of green finance on carbon emission intensity through the spatial econometric model, considering both spatial and temporal patterns. The results show the following: (1) The carbon emission intensity of each province in China shows a noticeable spatial spillover effect and a positive spatial correlation distribution of "high-high" and "low-low" agglomeration. (2) The development of green finance in China is interrelated but uneven in space, which presents a gradient strengthening trend from the west to the east. (3) Green finance development will curb the intensity of carbon emissions, and this effect has gradually been increasing over time and differs by region. Specifically, green finance will increase the carbon emission intensity of adjacent areas in the short term but will significantly reduce the local province's carbon emission intensity to a larger extent. Finally, it puts forward policy recommendations to promote the coordinated development of green finance and a low-carbon economy.

Keywords: Carbon emission intensity; Green finance; Spatial spillover effect.

MeSH terms

  • Carbon*
  • China
  • Economic Development*
  • Models, Econometric

Substances

  • Carbon