Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

Research on the Application of Big Data Technology to Tracking Audit in the Implementation of Targeted Poverty Alleviation---Taking County C as an Example

Authors
Xiaohui Sun1, *, Yixiao Cheng2
1Shandong Academy of Social Sciences, Jinan, 250002, China
2Shandong Agriculture and Engineering University, Jinan, 250100, China
*Corresponding author. Email: caihongsunny@163.com
Corresponding Author
Xiaohui Sun
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_62How to use a DOI?
Keywords
Big Data Technology; Tracking Audit; Targeted Poverty Alleviation
Abstract

Poverty has been a crucial factor in the process of comprehensively building a well-off society. In today’s world with a significantly improved physical wealth, there is still a proportion of people on the edge of poverty. The tracking audit of governmental information in the poverty alleviation can be addressed effectively by big data according to the current status of poverty reduction and the complexity of the problems caused by poverty in regions. Using big-data auditing technology enables the government to make more reasonable and precise decisions, and provides more extensive and accurate data and more advanced technological support for tracking audit. These advantages can improve the auditing efficiency of implementing tracking audit and provide better assistance for poverty alleviation. This paper conducted research on the current status of County C’s governmental tracking audit in the implementation of targeted poverty alleviation policy. It analyzed the case to delve into how well the policy has been carried out. Besides, this paper made an in-depth analysis of the problems in the tracking audit of targeted poverty reduction and proposed some suggestions such as strengthening the training of big-data auditing talents and optimizing the government’s influence on tracking audit.

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.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-064-0
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_62How 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

TY  - CONF
AU  - Xiaohui Sun
AU  - Yixiao Cheng
PY  - 2022
DA  - 2022/12/27
TI  - Research on the Application of Big Data Technology to Tracking Audit in the Implementation of Targeted Poverty Alleviation---Taking County C as an Example
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 602
EP  - 611
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_62
DO  - 10.2991/978-94-6463-064-0_62
ID  - Sun2022
ER  -