Research on Employment Quality Evaluation and Countermeasures in the Context of the New Era: Based on the Empirical Evidence of Sichuan Province

DOI

10.2991/978-94-6463-570-6_144How to use a DOI?

Keywords

new era context; employment quality evaluation index system; factor analysis; cluster analysis

Abstract

In the context of the new era, one of the key issues to enhance the high-quality development of China’s economy is how to promote high-quality employment. Based on the 2022 official statistics of 21 cities and states in Sichuan Province, this study constructs an indicator system to evaluate the quality of employment from four aspects, including employment environment, employability, wage income and labor protection. Through the factor analysis method, three key public factors, including economic development, public input and labor protection, were extracted, and the cities and states were rated accordingly. Subsequently, cluster analysis was applied to categorize these 21 cities and states into different categories, and specific countermeasures and suggestions for employment quality improvement were proposed.

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.

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TY  - CONF
AU  - Xingyu Hu
PY  - 2024
DA  - 2024/11/22
TI  - Research on Employment Quality Evaluation and Countermeasures in the Context of the New Era: Based on the Empirical Evidence of Sichuan Province
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 1427
EP  - 1435
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_144
DO  - 10.2991/978-94-6463-570-6_144
ID  - Hu2024
ER  -