Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

<Previous Article In Volume
Next Article In Volume>

Research on Risk Assessment Model of Rural Economic Development Based on Artificial Intelligence

Authors
Qing Luo1, *, Meng Lin2, Ying Fang2
1Guang Dong Construction Polytechnic, Qingyuan, 510440, China
2Guang Dong Construction Polytechnic School of Economics and Management, Guangzhou, 511500, China
*Corresponding author. Email: luoqing3053@163.com
Corresponding Author
Qing Luo
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_97How to use a DOI?
Keywords
poverty; rural revitalization; economic risk; evaluation
Abstract

It is an important mission of the Party to improve the poor and backward face of rural areas and reduce the number of poor people. At present, the “13th Five-Year Plan” has come to a successful conclusion, and the “14th Five-Year Plan” has been fully drawn up. My country has taken many measures to improve the appearance of poor and backward areas, and under the correct leadership of the Communist Party of China, remarkable results have been achieved. In the stage of decisive victory in poverty alleviation, decisive victory in the stage of building a moderately prosperous society in an all-round way, and building a modern socialist country in an all-round way, it is even more necessary to effectively link poverty alleviation and rural revitalization. At the same time, the rural party branch is the foundation and guarantee for guiding rural work, and plays an important role in the development and revitalization of the rural economy under the correct leadership of the party. This research adopts methods such as literature review, establishes a quantitative economic risk assessment model in the research, and conducts economic risk assessment effectively.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
978-94-6463-198-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_97How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Qing Luo
AU  - Meng Lin
AU  - Ying Fang
PY  - 2023
DA  - 2023/08/10
TI  - Research on Risk Assessment Model of Rural Economic Development Based on Artificial Intelligence
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 930
EP  - 936
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_97
DO  - 10.2991/978-94-6463-198-2_97
ID  - Luo2023
ER  -