Dynamic Measurement of Urban Science and Technology Innovation Capability Based on Analysis of Scientific Research Data

--A Case Study of Zhanjiang City

Authors

  • Zhaoyang Li

DOI:

https://doi.org/10.54097/7tawyf26

Keywords:

Industrial system, Scientific and technological innovation ability, Dynamic measurement, Scientific research data

Abstract

Based on the scientific research data, this paper makes a dynamic measurement and evaluation of the scientific and technological innovation ability of Zhanjiang's modern industrial system. By constructing 24 index systems covering innovation environment, input, output and diffusion, this paper makes an empirical analysis of Zhanjiang's scientific and technological innovation ability from 2018 to 2023 by using entropy weight GC-TOPSIS model. It is found that the ability of scientific and technological innovation in Zhanjiang city is on the rise, and the quality of innovation has improved significantly. However, compared with the core cities in the Pearl River Delta, Zhanjiang still has obvious shortcomings in terms of high-end talent reserve, R&D sustainability, policy synergy and the cultivation of emerging industries. The paper further analyzes the influencing factors from the perspectives of policy, talents, capital and market, and puts forward targeted promotion countermeasures to provide decision-making reference for Zhanjiang to integrate into Greater Bay Area innovation network and realize high-quality development.

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References

[1] Liu Fengchao & Sun Yutao. (2008). Calculation and Model Analysis of Regional Technology Extroversion in China. China Science and Technology Forum, (01),106-110+101.

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[3] Mellacher, P. (2021). Growth, Concentration and Inequality in a Unified Schumpeter Mark I + II model. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3938204.

[4] Soukiazis, E., Antunes, M., & Kostakis, I. (2017). The Greek economy under the twin-deficit pressure: a demand orientated growth approach. International Review of Applied Economics, 32(2), 215–236.

[5] Wijayanto, B. (2019). Teori Pertumbuhan Endogenous (Endogenous Growth Theory). SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3317961.

[6] Zhou, S. S., Zhou, A. J., Feng, J., & Jiang, S. (2017). Dynamic capabilities and organizational performance: The mediating role of innovation. Journal of Management & Organization, 25(5), 731–747.

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Published

30-10-2025

Issue

Section

Articles

How to Cite

Li, Z. (2025). Dynamic Measurement of Urban Science and Technology Innovation Capability Based on Analysis of Scientific Research Data: --A Case Study of Zhanjiang City. Journal of Computing and Electronic Information Management, 18(3), 11-18. https://doi.org/10.54097/7tawyf26