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A Dynamic Credit Index System for TSMEs in China Using the Delphi and Analytic Hierarchy Process (AHP) Methods

Author

Listed:
  • Ao Yu

    (School of Economics, Sichuan University, Chengdu 610065, China)

  • Zhuoqiang Jia

    (School of Economics, Sichuan University, Chengdu 610065, China)

  • Weike Zhang

    (School of Public Administration, Sichuan University, Chengdu 610065, China)

  • Ke Deng

    (Chengdu Administration China (Sichuan) Pilot Free Trade Zone, Chengdu 610041, China)

  • Francisco Herrera

    (Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain
    Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

Abstract
A high-quality credit index system is essential for technological small and medium-sized enterprises (TSMEs) to obtain financing from various institutions, such as banks, venture capital. Some attempts have made to construct the credit index system for TSMEs. However, the current credit index systems for TSMEs have placed too much emphasis on their financial ability with few prominent technological and talent indicators. Therefore, this study has proposed a dynamic credit index system for TSMEs in China using the Delphi and the Analytic Hierarchy Process (AHP) methods. This credit index system covers a wide range of indicators to measure the enterprises’ controller ability, operation and management ability, financial ability, and innovation capacity. This study made some contributions in the following aspects: (1) This study proposed a credit index system for TSMEs that highlights the main characteristics of technological innovation and talents of enterprises in China. (2) The credit index system is also highly adaptable as it can dynamically adjust the index weight according to the life cycles of TSMEs. (3) A case study of evaluating the credit of three TSMEs in China was selected to verify the feasibility and the effectiveness of this system. The results show that the credit index system constructed in this study provides a comprehensive and systematic model for evaluating the credit of TSMEs in China.

Suggested Citation

  • Ao Yu & Zhuoqiang Jia & Weike Zhang & Ke Deng & Francisco Herrera, 2020. "A Dynamic Credit Index System for TSMEs in China Using the Delphi and Analytic Hierarchy Process (AHP) Methods," Sustainability, MDPI, vol. 12(5), pages 1-21, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1715-:d:324916
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    References listed on IDEAS

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    5. Chunxiang Zhang & You-Yu Dai & Xiaowei Jin & Yiwan Yang, 2022. "Land Reclamation Tourism Resources in China: Connotation, Classification, and Evaluation," SAGE Open, , vol. 12(1), pages 21582440221, March.
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    7. Gu, Zhouyi & Chen, Xihui & Parziale, Anna & Tang, Zhuoyuan, 2024. "Evaluation of primary-level credit environment, indicator system and empirical analysis: A case study of credit construction in China county and district," Evaluation and Program Planning, Elsevier, vol. 104(C).
    8. Mohammed Abdul-Rahman & Wale Alade & Shahnawaz Anwer, 2023. "A Composite Resilience Index (CRI) for Developing Resilience and Sustainability in University Towns," Sustainability, MDPI, vol. 15(4), pages 1-27, February.
    9. Yiming Liu & Sunhee Suk, 2021. "Constructing an Evaluation Index System for China’s Low-Carbon Tourism Region—An Example from the Daxinganling Region," Sustainability, MDPI, vol. 13(21), pages 1-12, October.
    10. Zhang, Weike & Meng, Jia & Tian, Xiaoli, 2020. "Does de-capacity policy enhance the total factor productivity of China's coal companies? A Regression Discontinuity design," Resources Policy, Elsevier, vol. 68(C).
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