Open Access
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
Article Number 01050
Number of page(s) 8
Section Big Data Analysis Application and Energy Consumption Research
Published online 07 December 2020
  1. Jin Bei. Study on the “High-Quality Development” Economics. [J]. China Industrial Economics, 2018 (04): 5-18. [Google Scholar]
  2. Bai Junhong, Jiang Fuxin. Collaborative innovation, spatial correlation and regional innovation performance [J]. Economic Research Journal, 2015, 50(07): 174-187. [Google Scholar]
  3. Liu Xielin, Hu Zhijian. The pattern of China regional innovation capability and its implication [J]. Studies in Science of Science, 2002 (05): 550-556. [Google Scholar]
  4. Yu Yongze, Liu Dayong. The Effect of the Space Outflow of China’s Regional Innovation and the Effect of the Outflow of Value Chanins: A Study, from the Perspective of the Innovative Value Chain, on the Model of the Panel of Multidimensional Space[J]. Management World, 2013 (07): 6-20. [Google Scholar]
  5. Hong Yinxing. On the innovation-driven economic development [J]. Economist, 2013 (01): 5-11. [Google Scholar]
  6. Li Jing, Tan Qingmei, Bai Junhong. Spatial Econometric Analysis of Regional Innovative Production in China——An Empirical Study Based on Static and Dynamic Spatial Panel Models [J]. Management World, 2010 (07): 43-55. [Google Scholar]
  7. Guan Jiancheng, He Ying. The performance of Chinese regional innovation system evaluation based on data envelopment analysis [J]. Studies in Science of Science, 2005 (02): 265-272. [Google Scholar]
  8. Xu Yulian, Wang Yudong, Lin Yan. Research on Coupling Coordinated Degree Evaluation of Regional Sci-tech Innovation and Sci-tech Finance [J]. Science of Science and Management of S. &T., 2011, 32(12): 116-122. [Google Scholar]
  9. CHARNES A, COOPER W.W., RHODES E. Measuring the efficiency of decision making units[J]. European Journal of Operational Research, 1978. [Google Scholar]
  10. FRIED HO., YAISAWARNG S.S.S.A. Incorporating the Operating Environment into a Nonparametric Measure of Technical Efficiency[J]. Journal of Productivity Analysis, 1999. [Google Scholar]
  11. FRIED HO., LOVELL C.A.K., SCHMIDT S.S., et al. Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis[J]. Journal of Productivity Analysis, 2002. [Google Scholar]
  12. TOBIN, JAMES. Estimation of Relationships for Limited Dependent Variables[J]. Econometrica, 1958, 26(1): 24-36. [Google Scholar]

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