A research on the efficiency of regional green innovation in China—Based on DEA-SBM model and Malmquist index method

Li Yang; You Zhiwei; Wang Jiaqi; Lan Fei

doi:10.1051/e3sconf/202123604012

All issues

Volume 236 (2021)

E3S Web Conf., 236 (2021) 04012

References

Open Access

Issue		E3S Web Conf. Volume 236, 2021 3^rd International Conference on Energy Resources and Sustainable Development (ICERSD 2020)


Article Number		04012
Number of page(s)		5
Section		Green Technology Innovation and Intelligent Application of Environmental Equipment
DOI		https://doi.org/10.1051/e3sconf/202123604012
Published online		09 February 2021

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[1] Han J. (2012)Research on the efficiency of regional green innovation in China [J]. Research on Finance and Economics, 2012(11): 130–137. [Google Scholar]

[2] Liang W, Qin T, Liang P. (2019)Classification and Comparison of Regional Green and Low Carbon Innovation Efficiency in China [J]. Arid Zone Resources and Environment,33 (11):9–16. [Google Scholar]

[3] Zhu h, Zhang M. (2019)Construction and empirical evidence of green development evaluation index system [J]. Statistics and decision making, 35(17):36–39. [Google Scholar]

[4] Xiao R, Ding J, Qian L. (2017)Review of research on green innovation performance evaluation [J]. Journal of Guizhou University of Finance and Economics, 2017(2):100–110. [Google Scholar]

[5] Yin Q, Cheng Y. (2016) Research on Regional Variability and Causes of Green Innovation Efficiency in China [J]. Jiangsu Social Science, 2016(2):64–69. [Google Scholar]

[6] Liang S, Luo L. (2019)The dynamic effect of international R&D capital technology spillover on the efficiency of green technology innovation [J]. Scientific Research Management, 40(3): 21–29. [Google Scholar]