Impacts of Internet Information Literacy on Farmers’ Relative Poverty Vulnerability: Evidence from CGSS Survey Data in China-Reference-Cited by-同舟云学术

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Impacts of Internet Information Literacy on Farmers’ Relative Poverty Vulnerability: Evidence from CGSS Survey Data in China

Published:2024-06-26 Issue: Volume: Page:
ISSN:0303-8300
Container-title:Social Indicators Research
language:en
Short-container-title:Soc Indic Res

Author:

Yang Ningze,Wang Yiwei,Jin Hui,Qi Qi,Yang Yongliang^ORCID

Funder

Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China

Young Scientists Fund

Social Science Foundation of Liaoning Province

Natural Science Foundation of Zhejiang Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11205-024-03377-w.pdf

Reference101 articles.

1. Alatas, V., Banerjee, A., Hanna, R., Olken, B. A., & Tobias, J. (2012). Targeting the poor: Evidence from a field experiment in Indonesia. American Economic Review, 102(4), 1206–1240. https://doi.org/10.1257/aer.102.4.1206

2. Alkire, S., & Fang, Y. (2018). Dynamics of multidimensional poverty and uni-dimensional income poverty: An evidence of stability analysis from China. Social Indicators Research, 142(1), 25–64. https://doi.org/10.1007/s11205-018-1895-2

3. Anadozie, C., Fonkam, M., Cleron, J. P., & Kah, M. M. O. (2021). The impact of mobile phone use on farmers’ livelihoods in post-insurgency Northeast Nigeria. Information Development, 37(1), 6–20. https://doi.org/10.1177/0266666919886904

4. Appiah-Otoo, I., & Song, N. (2021). The impact of ICT on economic growth-comparing rich and poor countries. Telecommunications Policy, 45(2), 102082. https://doi.org/10.1016/j.telpol.2020.102082

5. Azeem, M. M., Mugera, A. W., & Schilizzi, S. (2017). Vulnerability to multi-dimensional poverty: An empirical comparison of alternative measurement approaches. Journal of Development Studies, 54(9), 1612–1636. https://doi.org/10.1080/00220388.2017.1344646

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