The Role of Digital Finance in Shaping Agricultural Economic Resilience: Evidence from Machine Learning
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- Qifeng Yang & Pingyu Zhang & Yuxin Li & Jiachen Ning & Nanchen Chu, 2023. "Does the Policy of Decoupled Subsidies Improve the Agricultural Economic Resilience?—Evidence from China’s Main Corn Producing Regions," Sustainability, MDPI, vol. 15(13), pages 1-23, June.
- Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "The Economics of Artificial Intelligence: An Agenda," NBER Books, National Bureau of Economic Research, Inc, number agra-1, October.
- Jie Zhou & Haipeng Chen & Qingyun Bai & Linxin Liu & Guohong Li & Qianling Shen, 2023. "Can the Integration of Rural Industries Help Strengthen China’s Agricultural Economic Resilience?," Agriculture, MDPI, vol. 13(9), pages 1-19, September.
- Robert Berry & Mauro Vigani & Julie Urquhart, 2022. "Economic resilience of agriculture in England and Wales: a spatial analysis," Journal of Maps, Taylor & Francis Journals, vol. 18(1), pages 70-78, January.
- Ibrahim Bozkurt & Rıfat Karakuş & Melek Yildiz, 2018. "Spatial Determinants of Financial Inclusion over Time," Journal of International Development, John Wiley & Sons, Ltd., vol. 30(8), pages 1474-1504, November.
- Hui Zhang & Jing Li & Tianshu Quan, 2023. "Strengthening or Weakening: The Impact of an Aging Rural Workforce on Agricultural Economic Resilience in China," Agriculture, MDPI, vol. 13(7), pages 1-16, July.
- Yunping Hao & Bing Zhang & Hongfei Yin, 2023. "Can digital finance drive urban–rural integration?," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 36(2), pages 2169736-216, July.
- Bochao Zhang & Wanhao Dong & Jin Yao & Xiaolong Cheng, 2023. "Digital Economy, Factor Allocation Efficiency of Dual-Economy and Urban-Rural Income Gap," Sustainability, MDPI, vol. 15(18), pages 1-30, September.
- Pant, Raghav & Barker, Kash & Zobel, Christopher W., 2014. "Static and dynamic metrics of economic resilience for interdependent infrastructure and industry sectors," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 92-102.
- Wang, Jing, 2023. "Digital inclusive finance and rural revitalization," Finance Research Letters, Elsevier, vol. 57(C).
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Cited by:
- Yaru Cao & Yanjun Wang & Shenyu Xiao & Liming Xiao, 2025. "The Impact of Digital Financial Inclusion on the Construction of Agricultural Anti-Risk Capacity: Based on a Sample Analysis of 46 Prefecture-Level Cities in the Huaihe River Basin," Agriculture, MDPI, vol. 15(6), pages 1-23, March.
- Jianling Qi & Juan Xu & Jing Jin & Shuting Zhang, 2025. "Digital Economy–Agriculture Integration Empowers Low-Carbon Transformation of Agriculture: Theory and Empirical Evidence," Sustainability, MDPI, vol. 17(5), pages 1-20, March.
- Deyin Zhang & Daiyin Jiang & Bing He, 2025. "Empowering Agricultural Economic Resilience with Smart Supply Chain: Theoretical Mechanism and Action Path," Sustainability, MDPI, vol. 17(7), pages 1-19, March.
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Keywords
digital finance; agricultural economic resilience; machine learning; moderating effects; China;All these keywords.
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