Open Access
Issue
SHS Web Conf.
Volume 163, 2023
2023 8th International Conference on Social Sciences and Economic Development (ICSSED 2023)
Article Number 01036
Number of page(s) 9
Section Economic Trade and Financial Investment Analysis
DOI https://doi.org/10.1051/shsconf/202316301036
Published online 28 April 2023
  1. Arner, D.W., Buckley, R.P., Zetzsche, D.A. (2020) Sustainability, FinTech and Financial Inclusion. European Business Organization Law Review, 1: 7–35. doi: 10.1007/s40804-020-00183-y. [CrossRef] [Google Scholar]
  2. Khin, S., Ho, T.C. (2019) Digital technology, Digital Capability and Organizational Performance: A Mediating Role of Digital Innovation. International Journal of Innovation Science, 2:177–195. https://doi.org/10.1108/IJIS-08-2018-0083. [CrossRef] [Google Scholar]
  3. Ozili, P.K. (2020) Contesting Digital Finance for the Poor. Digital Policy Regulation and Governance, 2: 135–151. doi: 198.101.236.183. [CrossRef] [Google Scholar]
  4. Li, J., Jiang, J.O, Chen, C. (2020) The relationship between digital inclusive finance and enterprise innovation from an inclusive perspective: evidence based on China's A-share listed enterprises. Management Science, 6: 16–29. https://kns.cnki.net/kcms/detail/detail.aspx?FileName=JCJJ202006003&DbName=CJFQ2020 [Google Scholar]
  5. Pan, S., Ye, D.Z., Ye, X. (2021) Is digital finance inclusive? Empirical evidence from urban innovation. Economist, 3: 101–111. doi: 10.16158/j.cnki.51-1312/f.2021.03.011. [Google Scholar]
  6. Du, J. (2013) Input and output analysis of China's agricultural science and technology innovation based on DEA model. Scientific and technological progress and countermeasures, 8: 82–85. https://kns.cnki.net/kcms/detail/detail.aspx?FileName=KJJB201308020&DbName=CJFQ2013 [Google Scholar]
  7. Zhao, L.J., Zhang, Y.X., Pan, F.H., Wang, L. (2016) Research on the Influence of Scientific and Technological Human Resources and Funds on the Efficiency of Agricultural Science and Technological Innovation. East China Economic Management, 1: 100–105. https://kns.cnki.net/kcms/detail/detail.aspx?FileName=HDJJ201601016&DbName=CJFQ2016 [Google Scholar]
  8. Xiao, R.Q., Qian, L. (2012) Efficiency Evaluation and Analysis of Agricultural Innovation System in Anhui Province. Jianghuai Forum, 2: 25–32. doi: 10.16064/j.cnki.cn34-1003/g0.2012.02.021. [Google Scholar]
  9. Chen, Z., Zheng, R., Li, P.H., Huang, S. (2018) Evaluation and Analysis of the Efficiency of Agricultural Science and Technology Innovation in Henan Province. Journal of Henan Agricultural University, 3: 464–469+484. doi: 10.16445/j.cnki.1000-2340.2018.03.025. [Google Scholar]
  10. Guo, X.Y., Du, X., Wang, D. (2020) Evaluation and Comparative Analysis of the Efficiency of Agricultural Science and Technology Innovation in China. Learning and Exploration, 5: 141–147. https://kns.cnki.net/kcms/detail/detail.aspx?FileName=XXTS202005017&DbName=CJFQ2020 [Google Scholar]
  11. Zhao, L.J., Zhang, Y.X., Pan, F.H. (2019) Government R&D investment, environmental regulation and agricultural science and technology innovation efficiency. Scientific Research Management, 2: 76–85. doi: 10.19571/j.cnki.1000-2995.2019.02.008. [Google Scholar]
  12. Lai, X.M., Zhang, J.B., He, K., Cheng, W.N. (2018) The personal characteristics of local administrators and the efficiency of regional agricultural science and technology innovation. Soft Science, 7: 44–47+51. doi: 10.13956/j.ss.1001-8409.2018.07.10. [Google Scholar]
  13. Zhang, L.X., Yu, M.L., Wang, X.H. (2016) Calculation and Comparative Research on the Efficiency of Agricultural Science and Technology Innovation. Agricultural technology economy, 12: 84–90. doi: 10.13246/j.cnki.jae.2016.12.009. [Google Scholar]
  14. Guo, F., Wang, J.Y., Wang, F., Kong, T., Zhang, X., Cheng, Z.Y. (2020) Measuring the Development of Digital Inclusive Finance in China: Index Compilation and Spatial Characteristics. Economics Quarterl, 4: 1401–1418. doi: 10.13821/j.cnki.ceq.2020.03.12. [Google Scholar]
  15. Wen, Z.L., Ye, B.J. (2014) Intermediary effect analysis: method and model development. Progress in Psychological Science, 5: 731–745. https://kns.cnki.net/kcms/detail/detail.aspx?FileName=XLXD201405001&DbName=CJFQ2014 [Google Scholar]

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