Open Access
E3S Web Conf.
Volume 235, 2021
2020 International Conference on New Energy Technology and Industrial Development (NETID 2020)
Article Number 03065
Number of page(s) 5
Section Analysis on the Development of Intelligent Supply Chain and Internet Digital Industrialization
Published online 03 February 2021
  1. Yun Shen. “Social Capital, Dual Finance and Peasant Household Borrowing Behavior, ” Economic Review, 2016, pp. 80-90. [Google Scholar]
  2. Yanjie Gou. “The Innovation of Financial Model for Agricultural Supply Chain, ” Journal of Sichuan University of Science & Engineering(Social Sciences Edition), 2020, pp. 33-52. [Google Scholar]
  3. Michael Lamoureux. “A supply chain finance prime, ” Supply Chain Finance, 2007, pp. 34-48. [Google Scholar]
  4. Tina Breckwoldt. “Management of Grain Storage in Old Babylonian Larsa, ” Archiv für Orientforschung, 1995, pp. 42-43. [Google Scholar]
  5. Miller Calvin, Jones Linda. “Agricultural value chain finance: tools and lessons, ” Agricultural Value Chain Finance Tools & Lessons, 2010. [Google Scholar]
  6. Longyao Zhang, Yuyun Xu, Bing Zhang. “Inkind finance substitute mechanism for failure of rural credit market: a case study of Jiangsu Province, ” Journal of Southeast University (Philosophy and Social Science), 2018, pp. 60-69. [Google Scholar]
  7. Ziqiang Zhang, Guoyong Wu, Ping XU. “Logic Reconstruction of Rural Household Poverty in Ethnic Areas: the Perspective of Vicious Circle of Poverty, ” Guizhou Ethnic Studies, 2017, pp. 69-72. [Google Scholar]
  8. Donghui Jiang, Bo Wang. “Accurate and Inclusive Finance: The Innovation and development of Agricultural Supply Chain Finance, ” Rural Economy, 2020, pp. 99-104 [Google Scholar]
  9. Jiujie Ma, Xing Luo, BenJian Wu. “Research on the Innovation of poverty alleviation mechanism of precision financial industry, ” Contemporary Rural Finance and Economics, 2016, pp. 26-29+37. [Google Scholar]
  10. Yun Shen, Xiaobing Peng. “Chain Financing Model and the Effects of Precision Poverty Alleviation: Empirical Study Based on Quasi Experiment, ” Journal of Finance and Economics, 2016, pp. 4-15. [Google Scholar]

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