Analysis of Influencing Factors and Suggestions for Improvement of Women's Training Willingness Under the Background of Rural Revitalization Strategy
- DOI
- 10.2991/978-94-6463-502-7_125How to use a DOI?
- Keywords
- Rural women; Training willingness; Influencing factors; Path for improvement
- Abstract
Starting from the implementation of rural revitalization strategy, the main factors affecting the training willingness of rural women are verified by proposing research hypotheses, investigating, and collecting on relevant data, formulating scales, and adopting Lasso regression principal component analysis to analyze the correlation between major factors. The results show that the factors affecting rural women’s willingness to receive training are the main types of household income sources, balance of household expenses, leisure time management, participation in training and types of training information. Some suggestions to improve the training willingness of rural women are proposed in this paper.
- Copyright
- © 2024 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 - Ke Zhao AU - Yanan Miao AU - Ying Tu AU - Liyuan Cai PY - 2024 DA - 2024/08/31 TI - Analysis of Influencing Factors and Suggestions for Improvement of Women's Training Willingness Under the Background of Rural Revitalization Strategy BT - Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024) PB - Atlantis Press SP - 1161 EP - 1170 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-502-7_125 DO - 10.2991/978-94-6463-502-7_125 ID - Zhao2024 ER -