Preprint Article Version 1 This version is not peer-reviewed

The Contribution of Technology Finance to the Quality of Economic Growth - Empirical Analysis Based on Spatial Econometric Model

Version 1 : Received: 26 August 2019 / Approved: 27 August 2019 / Online: 27 August 2019 (10:28:53 CEST)

How to cite: Xu, Y.; Zhou, X.; Li, Z. The Contribution of Technology Finance to the Quality of Economic Growth - Empirical Analysis Based on Spatial Econometric Model. Preprints 2019, 2019080281 (doi: 10.20944/preprints201908.0281.v1). Xu, Y.; Zhou, X.; Li, Z. The Contribution of Technology Finance to the Quality of Economic Growth - Empirical Analysis Based on Spatial Econometric Model. Preprints 2019, 2019080281 (doi: 10.20944/preprints201908.0281.v1).

Abstract

(1) Background: Most of the existing studies focus on the evaluation of technology finance; the relationship between technology finance and technology innovation. But there are few studies on the development of technology finance and the quality of economic development in our country; (2) Methods: Based on the panel data of 30 provinces in China, this paper constructs an index system to measure the development of technology finance through the improved entropy method, and tests the spatial correlation of the development of technology finance in China by Moran'I index. According to the test results, this paper constructs a spatial econometric model to empirically analyze the promoting effect of scientific, technological and financial development on high-quality economic development, and analyzes its promoting effect in different regions and different time periods; (3) Results: The results show that the quality of China's economic growth is spatially dependent, and the development of science, technology and finance can significantly promote the quality economic development in China. And the promotion coefficient of the central region is the largest, as well as the coefficient of the eastern region is the smallest. The promotion coefficient was small and not significant before 2015, and was significantly positive after 2015; (4) Conclusions: this paper puts forward the corresponding policy recommendations according to the research results.

Subject Areas

Technology finance; Quality of economic development; Spatial econometric model

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