Abstract
Finance is the lifeblood of economy. The progress of technology promotes vigorous development of economy, while the growth of technology industry depends on advancement of finance. Based on several principles of index selection, this paper reasonably selects indexes and conducts factor analysis to meet the input-output index requirements of DEA model. The CCR-DEA model and BCC-DEA model are constructed to analyze the combined efficiency of technology and finance in Guangdong Province and all prefecture-level cities in Guangdong Province. This paper puts forward relevant policy suggestions to promote the development of technology and finance and scientific and technological innovation in Guangdong Province. It also suggests that Guangdong Province formulate its own development strategy for technology and finance with Guangdong characteristics, broaden financing channels and strengthen audit supervision over the use of scientific and technological funds.
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Acknowledgements
This research was supported by the “Humanities and Social Sciences Research and Planning Fund of the Ministry of Education of China, No. x2lxY9180090”, “Natural Science Foundation of Guangdong Province, No. 2019A1515011038”, “Soft Science of Guangdong Province, and No. 2018A070712002, 2019A101002118”, “Guangdong Polytechnic of Industry and Commerce Key Special Research, No. GDGM2016-CQ-02”, and “Fundamental Research Funds for the Central Universities of China, No. x2lxC2180170”. The authors are highly grateful to the referees and editor in-chief for their very helpful comments.
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Zhao, J., Deng, X., Shen, L., Huang, C., Chen, C. (2021). Performance Evaluation of Guangdong Province Technology Finance Based on DEA Model. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_15
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DOI: https://doi.org/10.1007/978-3-030-51431-0_15
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