Sustainable development pathways : Exploring the impact of green finance on urban metabolic efficiency

Jie HAN*, Wei ZHANG*, Cem IŞIK, Wenju ZHAO, Muhammad ANAS, Qinglan ZHENG, Danxi XIE, Satar BAKHSH

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

Improving urban metabolic efficiency is crucial for sustainable development. This paper examines how green finance affects urban metabolic efficiency and its underlying mechanisms using city-level green finance data from China between 2010 and 2022. Additionally, the non-linear impact of green finance on urban metabolic efficiency is analyzed using a PLFC model. The research findings indicate that green finance notably improves urban metabolic efficiency via its constraint effect, incentive effect, and innovation compensation effect. The conclusion remains valid after conducting robustness tests. The analysis of mechanisms indicates that the incentive effect outweighs the constraint effect. Heterogeneity analyses demonstrate that the impact of green finance on urban metabolic efficiency varies depending on regions, city sizes, and city attributes. Furthermore, further investigation demonstrates that green finance exhibits a non-linear impact on urban metabolic efficiency, with education level and robotics application serving as significant moderating factors. This paper offers fresh insights into the correlation between green finance and urban metabolic efficiency, along with valuable references and insights for crafting more targeted policies.

Original languageEnglish
JournalSustainable Development
DOIs
Publication statusE-pub ahead of print - 18 Jun 2024

Bibliographical note

Publisher Copyright:
© 2024 ERP Environment and John Wiley & Sons Ltd.

Keywords

  • China
  • green finance
  • green urban economies
  • PLFC
  • sustainability

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