透過您的圖書館登入
IP:18.225.149.136
  • 期刊

Measurement of Innovation Efficiency in China's High‐tech Industries and Research on Spatial Disequilibrium

摘要


In order to study the spatial disequilibrium characteristics of innovation efficiency level of China's high‐tech industry, this paper uses the stochastic frontier model to measure the innovation efficiency of China's high‐tech industry and the Mookherjee & Shorrocks Gini coefficient decomposition method to measure the spatial disequilibrium characteristics of the innovation efficiency level of China's high‐tech industries. The data on the development of high‐tech industries in 29 provinces (municipalities directly under the Central Government and autonomous regions) in Mainland China from 2000 to 2017 are selected as research samples. Results show that: first, the distribution map of the average innovation efficiency level of high‐tech industries drawn by GIS intuitively shows that the spatial distribution of innovation efficiency level of China's high‐tech industries, it is manifested in the gradient distribution of low innovation efficiency in central and western regions and high innovation efficiency in eastern regions. Second, the Gini coefficient calculation and its decomposition results show that the overall relative differences in the innovation efficiency level of China's high‐tech industries show a slight downward trend, and the gap between regions is the main source of the overall gap.

參考文獻


GUI Huangbao. Spatial Econometric Analysis of Innovation Efficiency of China's High-tech Industry and its Influencing Factors [J].Economic Geography, 2014, 34(6).
Xu Xia. Inter-provincial Difference and Spatial Convergence test of high-tech Industry Innovation Efficiency -- An Empirical Analysis based on two-stage DEA [J].Journal of Beijing University of Posts and Telecommunications (Social Sciences edition), 2016, 18(1):78-86.
Gan Chunhui, Zheng Ruogu. Evolution of China's Regional Economic Gap and Its Industrial Decomposition [J].China Industrial Economy, 2010(6):25-34.
Huang Jie, Jia Dengxun. Spatial Imbalance and Dynamic Evolution of China's low-carbon Economic Development [J].Statistics and Information Forum, 2015, 30(3):57-64.
Zhao Lei, Fang Cheng. Research on Spatial Imbalance and Polarization of Tourism Development in China [J].China Population • Resources and Environment, 2014, 24(6):154-162.

延伸閱讀