The impact of digital village construction on poverty vulnerability among rural households.

Xiaonan Zhao, Feng Lan, Liping Zhang, Mengdan Guo, Yanxiao Li
Author Information
  1. Xiaonan Zhao: Academy of Civil Engineering & Architecture, Nanyang Normal University, Nanyang, China. zhxiaonan2021@xauat.edu.cn.
  2. Feng Lan: School of Management, Xi'an University of Architecture and Technology, Xi'an, China. lanfeng@xauat.edu.cn.
  3. Liping Zhang: School of Management, Xi'an University of Architecture and Technology, Xi'an, China.
  4. Mengdan Guo: School of Management, Xi'an University of Architecture and Technology, Xi'an, China.
  5. Yanxiao Li: School of Management, Xi'an University of Architecture and Technology, Xi'an, China.

Abstract

Against the backdrop of consolidating the achievements of poverty alleviation and promoting rural revitalization, whether digital village construction can alleviate the risk of rural families returning to poverty and then help long-term poverty prevention needs systematic and scientific empirical investigation. Using data from the 2020 China Rural Revitalization Survey (CRRS), this paper analyzes the impact of digital village construction on rural household poverty vulnerability and explores its potential channels. The results show that (1) digital village construction can significantly alleviate the poverty vulnerability of rural households. (2) Improving entrepreneurial activity is an effective way for digital village construction to affect the risk of rural households returning to poverty. (3) Digital village construction has a greater effect on reducing the poverty vulnerability of households in the eastern and the plains regions, and it is necessary to be vigilant against the emergence of the "digital divide". Based on these findings, this paper proposes policy recommendations to prevent the risk of rural areas returning to poverty through digital village construction, which achieves sustainable poverty reduction and rural revitalization goals.

Keywords

References

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  3. Am Psychol. 2020 May-Jun;75(4):554-566 [PMID: 32378949]
  4. Front Public Health. 2022 Sep 21;10:976188 [PMID: 36211699]
  5. Sci Rep. 2024 Jul 30;14(1):17505 [PMID: 39080497]

Grants

  1. 72174162/General Program of National Natural Science Foundation of China

MeSH Term

Rural Population
Humans
Poverty
China
Family Characteristics
Vulnerable Populations

Word Cloud

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