Analysis of Financial Management Mode under the Strategy of Rural Revitalization—Based on the Data Analysis of Township Financial Management Business
Authors
JianMing Tan1, AoBo Yu2, LiYing Ma1, *
1School of Accounting, Guangdong Baiyun University, Guangzhou, Guangdong, China
2Guangzhou Vettel Medical Technology Company, Guangzhou, Guangdong, China
*Corresponding author.
Email: maliying01@163.com
Corresponding Author
LiYing Ma
Available Online 29 December 2022.
- DOI
- 10.2991/978-94-6463-042-8_140How to use a DOI?
- Keywords
- Rural revitalization; Regression analysis; Township financial management business data
- Abstract
The implementation of the rural revitalization strategy requires the improvement of the efficiency and capacity of township financial management. This article analyzes the effect of its policies on rural economic development based on the financial management business data of a certain town in LZ. At the same time, it uses the data of cadres in the villages of Guangdong Province to perform regression analysis. This article intends to strengthen the financial management of townships, consolidate the financial foundation, and put forward constructive suggestions.
- 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 - JianMing Tan AU - AoBo Yu AU - LiYing Ma PY - 2022 DA - 2022/12/29 TI - Analysis of Financial Management Mode under the Strategy of Rural Revitalization—Based on the Data Analysis of Township Financial Management Business BT - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022) PB - Atlantis Press SP - 982 EP - 987 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-042-8_140 DO - 10.2991/978-94-6463-042-8_140 ID - Tan2022 ER -