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

  • Wenxin Li
  • , Ying Fan*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)20310-20326
Number of pages17
JournalEnvironmental Science and Pollution Research
Volume30
Issue number8
DOIs
StatePublished - Feb 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Carbon emission intensity
  • Green finance
  • Spatial spillover effect

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