Analysis on Efficiency and Influencing Factors of Guangxi technology and finance Based on DEA Model
Abstract
With the global economy increasingly relying on scientific and technological innovation, technology and finance's efficiency has become a key factor to enhance regional competitiveness.As an important province in western China, Guangxi faces both opportunities and challenges in its technology and finance development.Based on the data envelopment analysis (DEA) model, this paper makes an empirical measurement and evaluation on the efficiency of technology and finance, Guangxi, and deeply explores its influencing factors. In the specific research, this paper first constructs an efficiency evaluation system of technology and finance, which includes input and output indicators, and makes an empirical analysis of technology and finance's efficiency by using CCR and BCC DEA models.Through data collection and arrangement, we have made a comprehensive description of the input-output status of technology and finance, Guangxi, and made a scientific evaluation of the efficiency by using an empirical model.It is found that the efficiency of technology and finance shows a certain trend of improvement, but there are still obvious regional differences and deficiencies.Specifically, the efficiency of technology and finance in some areas or fields is high, while that in others is low.In addition, this paper also reveals the key factors affecting the efficiency of technology and finance, which provides a theoretical basis for improving the efficiency. Based on the empirical results, this paper puts forward some countermeasures and suggestions to improve the efficiency of technology and finance.Including strengthening the construction of scientific and technological innovation system, establishing the core position of scientific and technological enterprises and optimizing the business environment in Guangxi.These suggestions are aimed at providing practical guidance for policy makers to promote the healthy development of technology and finance.Generally speaking, through the empirical analysis based on DEA model, this paper makes a comprehensive evaluation of the efficiency of technology and finance, Guangxi, and puts forward some targeted countermeasures and suggestions.
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- Fernandes S D F ,Stasinakis C ,Bardarova V .Two-stage DEA-Truncated Regression: Application in banking efficiency and financial development [J].Expert Systems With Applications.2018.pp.284-301.
- Julian Atanassov,Vikram Nanda,and Amit Seru.Finance and Innovation:The Case of Publicly Traded Firms[J].May,2019.
- Jeong H , Townsend R M .Sources of TFP Growth: Occupational Choice and Financial Deepening[J].Economic Theory, 2019, 32(1):179-221.
- Benfratello L , Schiantarelli F , Sembenelli A .Banks and Innovation: Microeconometric Evidence on Italian Firms[J].Journal of Financial Economics, 2019, 90(2):197-217.
- Gustav M.Equity Financing and Innovation: Is Europe Different From the United States?[J].Journal of Banking & Finance,2021,34(6):1215-1224.
- Jiang Yong, Yan Xiaoxu, Liu Zuojing, etc. Analysis of the relative efficiency of input and output of technology and finance based on DEA model [J]. Science and Technology Management Research, 2019,37 (3): 69-74.
- Zhao Hongcheng, Lin Binghua, Chen Yilin. The spatial and temporal differentiation of Chinese technology financial efficiency and its influencing factors —— Analysis Based on the perspective of undesired output [J]. Finance and Economics, 2020, (12): 49-55.
- Zhang Weiqiang, Zhao Fei, Li Yijun and so on. Analysis of Henan Technology and Finance Efficiency based on DEA-BCC model [J]. Henan Science and Technology, 2023,42 (16): 138-143.
- Wu Yiquan. Study on the efficiency measurement of technology and finance in Yangtze River Economic Belt [D]. Shandong University, 2022.
- Zeng Shuai. Research on the construction and influencing factors of Fintech Development Index [D]. Hunan University, 2022.
- Wang Heng. Research on the input-output efficiency and influencing factors of science and technology finance in Hubei province [D]. Wuhan University of Engineering, 2019.
- Redan. Space and temporal differences of technology and financial efficiency in Yangtze River Economic Belt [J]. Cooperative Economy and Technology, 2023, (5): 66-68.
- Han Jingwang, Niu Zixuan. Analysis of the efficiency measurement and influencing factors of science and technology finance development in Hebei Province [J]. Hebei Finance, 2022, (7): 27-31.
- Hou Jinxiu. Analysis of technology and finance efficiency based on DEA-Tobit model [D]. Henan University, 2022.
- Wei Haili, Jia Huining. Analysis of efficiency measurement and influencing factors of Science and technology Finance in Tianjin [J]. Research on Industrial Innovation, 2021, (22): 1-5.
- Li Hao. Empirical analysis of the impact of science and technology and financial efficiency on the growth of the real economy [D]. Yunnan University of Finance and Economics, 2021.
- Deng Xiaohua, Xu Xiaoli. Analysis of technology and Finance efficiency in Anhui Province —— Based on DEA-Malmquist model [J]. Journal of Tongling University, 2021,20 (2): 28-34.
- Shao Lijie.—— Based on DEA-Tobit model [J]. Journal of Fujian Business School, 2019, (2): 33-39.
- Song Peng. Analysis of the input-output efficiency and improvement path of science and technology finance in Hebei Province [D]. Hebei University, 2019.
- Yang Zekun. Research on the development efficiency of technology and finance in the Yangtze River Economic Belt based on DEA-BCC model and Malmquist index method [J]. Journal of Wuxi Commercial Vocational and Technical College, 2022,22 (3): 29-35.
- Bian Junjie, Duan Keyi. Interprovincial differences on the efficiency of science and technology finance and its influencing factors [J]. Journal of Gannan Normal University, 2022,43 (4): 115-123.
- Kong Bihui. Research on Efficiency Evaluation of Technology and Finance in Anhui Province [D]. Anhui University of Finance and Economics, 2022.
- Strong Yujin. Research on the allocation efficiency of science and technology financial resources in China [D]. Liaoning University, 2022.
- He Baocheng, Li Shanshan. Space and temporal evolution analysis of provincial technology and finance efficiency in China [J]. Cooperative Economy and Technology, 2022, (1): 54-56.
- Zhang Xincai. Evaluation and Countermeasures of Science and Technology Finance efficiency in Shandong Province [D]. Shandong University of Finance and Economics, 2021.
- Li Junxia. Research on the allocation efficiency and key risks of scientific and technological financial resources in scientific and technological innovation [D]. Xidian University, 2021.
- Li Hao. Empirical analysis of the impact of science and technology and financial efficiency on the growth of the real economy [D]. Yunnan University of Finance and Economics, 2021. [28] Gao Yuan. Research on the efficiency evaluation and influencing factors of science and technology Finance in China [D]. Chongqing Technology and Business University, 2021.
- Huang Renquan, athletics, Wang Juanjuan. Development efficiency and dynamic influencing factors of science and technology finance in Xi'an city [J]. Science and Technology Management Research, 2021,41 (6): 90-97.
- Sun Zhongyan. Empirical study on the efficiency and influencing factors of regional science and technology finance in China [D]. Hebei University of Finance, 2020.
- Tao Lixiang, Shen Jun, Liu Yuanlin. Research on the development efficiency of science and technology finance in Wuhan city —— Based on BC~2 model and Malmquist index method [J]. Science and Technology Management Research, 2020,40 (6): 114-120.