A model of regional distribution of labor migrant numbers

Author:

Trapitsin S. Yu.1ORCID,Fedorov P. M.2ORCID

Affiliation:

1. Herzen State Pedagogical University of Russia

2. St. Petersburg University of Management Technologies and Economics

Abstract

Aim. To develop a model of regional distribution of the number of labor migrants that estimates determinant regional disparities factors.Objectives. To study theoretical approaches to the study of regional distribution of the number of labor migrants; to analyze the factors of regional disproportions of the Russian labor market in modeling migration flows; to collect and analyze statistical information to develop a model of regional distribution of the number of labor migrants that assesses determinant regional disproportions factors.Methods. General scientific methods of research such as deduction, analysis, synthesis were used. Statistical methods of data analysis were applied, linear regression model was built.Results. The stable trends of natural population decline, population aging, leading to an outstripping reduction in the number of able-bodied population of the Russian Federation (RF), indicate the need for replacement migration. Regional differentiation in the labor market, characteristic of the Russian economy, can be balanced by both internal migration and external migration flows. However, effective replacement migration is associated with the presence of certain conditions and also carries risks. Such conditions include economic attractiveness of the Russian labor market for foreign workers, integration potential of the host community (absence of anti-migrant attitudes or discriminatory practices). At the same time, replacement migration carries the risks of negative changes in the structure of the labor force due to the relatively low qualifications of migrant workers, weakening incentives to innovate and maintaining a low level of labor productivity, transfer of money received by migrants as wages outside the Russian Federation.Conclusions. As a result of the regression analysis, the position about the determinant role of regional differentiation of income distribution of the population in determining the regional distribution of the number of labor migrants was confirmed. The regression model uses the indicator of the share of labor migrants in the employed population as the dependent variable characterizing the intensity of labor migration to the region, and data on the average per capita monetary income of the population in the regions of the Russian Federation as the independent variable. The calculation of the regression coefficient indicates the presence of a weak correlation between these variables. Thus, regional disparities in the level of income affect the formation of imbalance in the placement of foreign labor force, since it is the economic factor of attractiveness of the regional labor market that forms the flows of labor migration in the regions.

Publisher

Saint-Petersburg University of Management Technologies and Economics - UMTE

Reference27 articles.

1. Statistics on migrant workers. International Labour Organization. URL: https://ilostat.ilo.org/topics/labour-migration/ (accessed on 19.06.2024).

2. Regions of Russia. Socio-economic indicators. 2023: Stat. coll. Moscow: Rosstat; 2023. 1126 p. (In Russ.).

3. Rosstat published a demographic forecast up to 2046. Federal State Statistics Service (Rosstat). Oct. 10, 2023. URL: https://rosstat.gov.ru/folder/313/document/220709(accessed on 19.06.2024). (In Russ.).

4. On the Concept of the state migration policy of the Russian Federation for 2019-2025. Decree of the President of the Russian Federation of October 31, 2018 No. 622 (as amended on May 12, 2023). Konsul’tantPlyus. URL: https://www.consultant.ru/document/cons_doc_LAW_310139/ (accessed on 19.06.2024). (In Russ.).

5. Replacement migration: Is it a solution to declining and ageing populations? New York, NY: Population Division, Department of Economic and Social Affairs, United Nations Secretariat; 2000. 177 p. URL: https://www.un.org/development/desa/pd/sites/www.un.org.development.desa.pd/files/unpd-egm_200010_un_2001_replacementmigration.pdf (accessed on 19.06.2024).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3