基于网络数据包络分析的我国省域科技金融协同效率测度及其时空差异

doi:10.12066/j.issn.1007-2861.2101

Abstract

Abstract:

Based on the provincial panel data from 2009 to 2015, using network data envelopment analysis (DEA), this study measures the input-output efficiency of the financial and technology systems and their cooperative efficiency. The Moran index is used to test the spatial correlation of cooperative efficiency. The results revealed that there is a large promotion space for the cooperative efficiency of China's technology and financial systems. There are significant differences among regions, and only Beijing, Shanghai, and Jiangsu reach DEA efficiency. In terms of the time dimension, the cooperative efficiency shows an upward trend year by year and increases by 15% in seven years. In terms of the space dimension, the efficiency of each system shows good spatial correlation, and the correlation increases year by year. The cooperative efficiency of neighboring provinces of Guangdong and Chongqing needs to be improved. Based on the research results, this study puts forward some suggestions for improving the coordination of China's science financial and technology systems.

Key words: science finance, cooperative efficiency, network data envelopment analysis (DEA), Moran index

CLC Number:

F832.46

SHI Mingkang, YU Liying. Cooperative efficiency measurement of China's provincial science financial system based on network data envelopment analysis and its time-spatial differences[J]. Journal of Shanghai University（Natural Science Edition）, 2020, 26(6): 1015-1025.

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Cooperative efficiency measurement of China's provincial science financial system based on network data envelopment analysis and its time-spatial differences

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