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

In: Proceedings of the 2025 7th International Conference on Economic Management and Model Engineering (ICEMME 2025)

Author

Listed:
  • Maoju Huang

    (Xi’an International Studies University, School of Economics and Finance)

  • Renquan Huang

    (Xi’an International Studies University, School of Economics and Finance)

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.

Suggested Citation

  • Maoju Huang & Renquan Huang, 2026. "Research on Sci-Tech Finance Efficiency and Influence Factors in Chengdu," Advances in Economics, Business and Management Research, in: Touria Benazzouz & Sandeep Saxena & Hui Nee Au Yong & Nor Zafir Md Salleh (ed.), Proceedings of the 2025 7th International Conference on Economic Management and Model Engineering (ICEMME 2025), pages 21-29, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-602-9_3
    DOI: 10.2991/978-94-6239-602-9_3
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