Research on Sci-Tech Finance Efficiency and Influence Factors in Chengdu

Maoju Huang and Renquan Huang ()
Additional contact information
Maoju Huang: Xi’an International Studies University, School of Economics and Finance
Renquan Huang: Xi’an International Studies University, School of Economics and Finance

A chapter in Proceedings of the 2025 7th International Conference on Economic Management and Model Engineering (ICEMME 2025), 2026, pp 21-29 from Springer

Abstract: Abstract At present, the allocation efficiency of Chengdu’s sci-tech finance resources, along with the alignment between its service system and the demands of sci-tech innovation, still lacks quantitative verification. There is an urgent need to examine the efficiency of the city’s sci-tech finance system. Based on the construction of an evaluation index system for sci-tech finance efficiency, this study employs a super-efficiency DEA model to measure Chengdu’s sci-tech finance efficiency from 2000 to 2023. Furthermore, a VECM model is applied to analyze the long-term equilibrium and dynamic interactions within the input–output system. The results indicate that while Chengdu’s sci-tech finance efficiency shows an upward trend, it has not yet reached an optimal allocation state. It is essential to optimize the structure of sci-tech finance inputs, enhance the synergy within the input–output system, and improve the transformation efficiency of financial resources into innovation outcomes.

Keywords: Sci-Tech Finance Efficiency; Super-Efficiency DEA Model; VECM (search for similar items in EconPapers)
Date: 2026
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:978-94-6239-602-9_3

Ordering information: This item can be ordered from
http://www.springer.com/9789462396029

DOI: 10.2991/978-94-6239-602-9_3

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 ().