Proceedings of the 2020 International Conference on Modern Education Management, Innovation and Entrepreneurship and Social Science (MEMIESS 2020)

Governance of Poverty Return Under the Background of Big Data

Authors
Yang Yuetian, Zheng Yan
Corresponding Author
Zheng Yan
Available Online 6 February 2021.
DOI
https://doi.org/10.2991/assehr.k.210206.040How to use a DOI?
Keywords
Poverty alleviation, poverty return, big data, governance
Abstract
The Chinese 14th Five Year Plan period is the key period to consolidate the achievements of poverty alleviation. The Chinese government faces challenge of consolidating the achievements of poverty alleviation and getting rid of the dilemma of poverty return. Based on the multi-disciplinary analysis method, focusing on the problem of poverty return, this paper analyzes big data drive targeted identification objects and causes of poverty return, dynamic supervision and early warning of poverty return. It makes suggestion on big data governance to provide guidance for poverty return, improve quality and efficiency, and consolidate the results of poverty alleviation in the future.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Yang Yuetian
AU  - Zheng Yan
PY  - 2021
DA  - 2021/02/06
TI  - Governance of Poverty Return Under the Background of Big Data
BT  - Proceedings of the 2020 International Conference on Modern Education Management, Innovation and Entrepreneurship and Social Science (MEMIESS 2020)
PB  - Atlantis Press
SP  - 196
EP  - 200
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210206.040
DO  - https://doi.org/10.2991/assehr.k.210206.040
ID  - Yuetian2021
ER  -