Analysis on the Influence of Green Finance Development Level on Energy Intensity in Shaanxi Province

Yaoyao Liu ()
Additional contact information
Yaoyao Liu: Xi’an Mingde Institute of Technology

A chapter in Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024), 2025, pp 301-307 from Springer

Abstract: Abstract At present, Shaanxi Province is facing great pressure of energy conservation and consumption reduction. Traditional methods to improve energy utilization efficiency from the technical level are not enough to meet the needs of the government. The way to promote social green development by using market rules is increasingly respected as in a market economy environment. In this context, green finance emerges at the historic moment, and its role in achieving the “dual carbon” goal has been confirmed by more and more scholars. Therefore, this paper calculates the development level of green finance in Shaanxi Province in recent decades, and makes a correlation analysis between it and energy intensity in the province. It is found that promoting the development of green finance can help reduce energy intensity and help Shaanxi achieve the national goal of energy conservation and emission reduction as soon as possible.

Keywords: Green Finance; Energy Intensity; Correlation analysis (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:978-94-6463-676-5_29

Ordering information: This item can be ordered from
http://www.springer.com/9789464636765

DOI: 10.2991/978-94-6463-676-5_29

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 ().