The Impact of Green Economic Development on the Urban-Rural Income Gap

Zhongyue Li ()
Additional contact information
Zhongyue Li: University of New South Wales, Commerce

A chapter in Proceedings of the 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025), 2025, pp 470-481 from Springer

Abstract: Abstract Based on panel data from 25 provincial-level regions in China spanning 2007–2020, this paper systematically analyzes the impact of green economy and its development on the urban-rural income gap, and further explores the underlying mechanisms. The findings indicate that improvements in green taxation and green technological innovation help narrow the urban-rural income gap. This conclusion remains robust across various model specifications. The green economy reduces income inequality by increasing educational spending or enhancing educational levels, promoting high-quality employment, and optimizing the income distribution structure. The effect is more significant in the eastern and central regions and in the secondary industry. This study deepens the understanding of the socio-economic effects of green transformation and offers theoretical and policy insights for optimizing green finance policies and promoting social equity.

Keywords: Green taxation; green innovation; income gap (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:advbcp:978-94-6463-888-2_46

Ordering information: This item can be ordered from
http://www.springer.com/9789464638882

DOI: 10.2991/978-94-6463-888-2_46

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().