Analysis on Spatial Characteristics and Influencing Factors of Inter-provincial Population Migration Based on Multiple Linear Regression Model
- DOI
- 10.2991/978-94-6463-024-4_73How to use a DOI?
- Keywords
- Spatial Patterns; Determining Factor; Anhui Province; Multiple Linear Regression
- Abstract
Using the concept of migration preference index, this paper first calculates the comprehensive out-migration indexes, the migration preference indexes of outside Anhui province from 2014 to 2018, then conducts a multiple linear regression to model the migration preference indexes, and puts forward the relevant policy suggestions. Research shows that: 1) The proportion of secondary industry in GDP, per capita urban road area and per capita years of education have a negative impact on the comprehensive population emigration index in Anhui Province, while the population urbanization rate and per capita GDP have a positive impact; 2) Local government departments should increase support for the local secondary industry, strengthen infrastructure construction, ensure the overall improvement of the development level of urbanization, and increase investment in education in order to fundamentally reduce the massive outflow of labor force.
- 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 - Fei Su AU - Xiaoqian Zhu AU - Lei Tong AU - Yuhua Zhong AU - Liangmin Cheng PY - 2022 DA - 2022/12/12 TI - Analysis on Spatial Characteristics and Influencing Factors of Inter-provincial Population Migration Based on Multiple Linear Regression Model BT - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) PB - Atlantis Press SP - 700 EP - 708 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-024-4_73 DO - 10.2991/978-94-6463-024-4_73 ID - Su2022 ER -