Efficiency Analysis of Chinese Science and Technology Finance based on the DEA-Malmquist Model

Authors

  • Song Wang

DOI:

https://doi.org/10.54691/bcpbm.v17i.394

Keywords:

Science and Technology Finance; DEA-Malmquist Model.

Abstract

Taking the data of financial input and science-technology (S&T) output of 30 provinces and municipalities in China from 2015 to 2019 as samples, and based on the DEA-Malmquist model, the efficiency of S&T finance in China is calculated from provincial level and regional level respectively. The results show that the total factor productivity of S&T finance in China is on the rise from 2015 to 2019, and there are certain differences in the index and decomposition results of S&T finance in different regions.

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References

Hong. Science and Technology Finance and its Cultivation [J]. Economists,2011(06):22-27.

Zhao, Chen and Tang. Science and Technology Finance. Science Press in Beijing,2009.

Du, Liang and Lv. Research on the Efficiency of Regional Science and Technology Finance in China -- Based on three-stage DEA Model Analysis [J]. Financial Economics Research,2016,31(06):84-93.

Gan and Gan. An Empirical Study on the Efficiency Differences of Science, Technology and Finance in Bohai Rim, Yangtze River Delta and Pearl River Delta [J]. Macroeconomic Research,2017(11):103-114.

Feng and Zheng. Heterogeneity Study on the Input-Output Efficiency of S&T Finance of Small and Medium-sized Listed Enterprises based on the Common Boundary Dynamic DDF-DEA model [J]. Financial Theory and Practice,2021(02):39-51.

Xue, Lin and Gao. Measurement and Analysis of Influencing Factors of Development Efficiency of S&T finance in China [J]. Scientific and Technological Progress and Countermeasures,2017,34(07):109-116.

Zhang and Gu. The Influence of S&T finance on Regional Economic Growth: Based on Spatial Econometric Method [J]. Industrial Technical Economy, 2019,38(09):131-139.

Zhang and Zhao. The Effect of China's S&T Financial Input on S&T Innovation: an Empirical Study based on Static and Dynamic Panel Data Model [J]. Scientific Research,2015,33(02):177-184+214.

Charnes A, Cooper W W, Rhodes E. Measuring the Efficiency of Decision, Making Units[J]. European Journal of Operational Research, 1978, 2(6): 429-444.

Pan and Zhang. The Innovation Performance of Government, Enterprises and Financial Institutions [J]. Scientific Research,2018,36(05):831-838+846.

Gu and Wang. The Quality Effect of S&T Financial Input on Economic Growth in China: a Spatio-temporal Heterogeneity Perspective [J]. Science of Finance and Economics,2018(08):30-43.

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Published

2022-02-23

How to Cite

Wang, S. (2022). Efficiency Analysis of Chinese Science and Technology Finance based on the DEA-Malmquist Model. BCP Business & Management, 17, 204-213. https://doi.org/10.54691/bcpbm.v17i.394