Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

June 13, 2024


Pages


DOI

Article

A Study on the Impact of China’s OFDI on Labor Export Using a Linear Regression Model

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Authors

Ke Gao Affiliation:
School of Economics and Management, Dalian Jiaotong University, Dalian, Liaoning, 116021, China.
and Liang Yang Affiliation:
School of Mechanical Engineering, Dalian Jiaotong University, Dalian, Liaoning, 116021, China.


Abstract

Chinese enterprises’ overseas investments have significantly facilitated China’s foreign labor export, but the international labor market is undergoing profound changes, posing new challenges. This study constructs an empirical model to examine the relationship between labor export and China’s OFDI, conducts a Pearson correlation test, and uses a simple linear regression model to verify the influence of OFDI on labor export flow. The study suggests that China’s OFDI has a significant impact on labor export, transitioning from pulling to crowding out effects after the Belt and Road Initiative, with policy recommendations for enhancing labor enterprise competitiveness and government oversight.


Keywords

OFDI, Labor export, Impact, 62J05


Citation

Gao, K. & Yang, L. (2024). A study on the impact of china’s OFDI on labor export using a linear regression model. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-1492

Published by: Engineering Journals

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