Research on Sci-Tech Finance Efficiency and Influence Factors in Chengdu
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.
Fields of Study & Subjects
Efficiency Analysis Using DEA
Innovation Policy and R&D
FinTech
Crowdfunding
Digital Finance
Publication details
- Journal / source
- Advances in economics, business and management research/Advances in Economics, Business and Management Research
- Pages
- 21–29
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Book chapter