Spatial Effect of Green Finance Development on Regional Green Innovation Efficiency

Shuo Luo and Yuchen Shen
Additional contact information
Shuo Luo: School of Economics and Management, Guangxi Normal University, Guilin ,China
Yuchen Shen: School of Economics and Finance, Queen Marry University of London, London, England

Economic Analysis Letters, 2024, vol. 3, issue 4, 52-58

Abstract: Green finance is an important driving force to promote green innovation and achieve green development. In order to deeply explore the internal relationship between green finance and green innovation efficiency, this paper selects China's provincial panel data from 2012 to 2023, uses the entropy method and super efficiency SBM model to measure the green finance development index and green innovation efficiency of each province, and on this basis, chooses to construct the spatial Durbin model with fixed effects for empirical analysis and effect decomposition. The results show that: (1) From 2012 to 2023, the development level of green finance and green innovation efficiency of China's provinces will increase year by year with the development of economic base; (2) The green innovation efficiency of provinces with better economic foundation and perfect infrastructure is also at a high level; (3) The level of green finance development, productivity, fiscal revenue and expenditure and urbanization not only have a direct effect on the green innovation efficiency of the region, but also have a spatial spillover effect on the neighboring regions.

Keywords: Green finance; Regional green innovation efficiency; Super-SBM model; The spatial Durbin model (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.anserpress.org/journal/eal/3/4/71/pdf (application/pdf)
https://www.anserpress.org/journal/eal/3/4/71 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bba:j00004:v:3:y:2024:i:4:p:52-58:d:376

Access Statistics for this article

Economic Analysis Letters is currently edited by Ramona Wang

More articles in Economic Analysis Letters from Anser Press
Bibliographic data for series maintained by Ramona Wang ().