Impact of Trade, FDI, and Urbanization on Female Employment System in SAARC: GMM and Quantile Regression Approach
The fundamental objective of this research is to learn how trade liberalization, male employment, urbanization, and foreign direct investment (FDI) affect women’s participation in the labor force. To continue, this study aims to determine the effects of trade and other factors on women’s employment...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Systems |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-8954/11/3/137 |
_version_ | 1797608834735276032 |
---|---|
author | Elvira Nica Milos Poliak Cristina Alpopi Tomas Kliestik Cristina Manole Sorin Burlacu |
author_facet | Elvira Nica Milos Poliak Cristina Alpopi Tomas Kliestik Cristina Manole Sorin Burlacu |
author_sort | Elvira Nica |
collection | DOAJ |
description | The fundamental objective of this research is to learn how trade liberalization, male employment, urbanization, and foreign direct investment (FDI) affect women’s participation in the labor force. To continue, this study aims to determine the effects of trade and other factors on women’s employment in three distinct sectors (i.e., agriculture, industry, and service). From 1991 to 2021, we analyzed data from eight SAARC countries. The study’s theoretical foundation was the Cobb–Douglas production function. To better understand the connections between trade liberalization and the SAARC labor market, this paper used panel quantile regression (QR) and generalized method of moments (GMM) to empirically explore the key determinants of female employment in total and three sub-sectors. The QR method was used in the study because it looks at how variables affect each other beyond the data mean. Additionally, our data set does not follow a normal distribution, and the connection between the explained and explanatory factors is non-linear. Trade openness has a beneficial effect on total female employment throughout system GMM and all quartiles. Total female employment also benefits from an increase in GDP and FDI. However, women’s access to the workforce is hampered by urbanization. Many strategies for increasing women’s participation in the workforce across three sectors are addressed in this article. The major finding of this study is the rate of change in female employment across three industries. Women’s participation in the service and manufacturing sectors increases, whereas their participation in agriculture decreases, as a result of increased trade openness. Although these studies can assist policymakers in choosing the best feasible trade adjustments, they will also add to diverse academic and policy discussions on trade liberalization and its gender consequences. Since trade has become more accessible, more and more women are entering the workforce. Therefore, workers should acquire industrial and service-sector-related competencies. |
first_indexed | 2024-03-11T05:50:08Z |
format | Article |
id | doaj.art-523c7eb36b2446f98a3601944b18e053 |
institution | Directory Open Access Journal |
issn | 2079-8954 |
language | English |
last_indexed | 2024-03-11T05:50:08Z |
publishDate | 2023-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Systems |
spelling | doaj.art-523c7eb36b2446f98a3601944b18e0532023-11-17T14:11:13ZengMDPI AGSystems2079-89542023-03-0111313710.3390/systems11030137Impact of Trade, FDI, and Urbanization on Female Employment System in SAARC: GMM and Quantile Regression ApproachElvira Nica0Milos Poliak1Cristina Alpopi2Tomas Kliestik3Cristina Manole4Sorin Burlacu5Department of Administration and Public Management, Faculty of Administration and Public Management, Bucharest University of Economic Studies, Piața Romană, 010371 Bucharest, RomaniaDepartment of Transport Technology and Logistics, Faculty of Operation and Economics of Transport and Communications, University of Zilina, 01026 Zilina, SlovakiaDepartment of Administration and Public Management, Faculty of Administration and Public Management, Bucharest University of Economic Studies, Piața Romană, 010371 Bucharest, RomaniaDepartment of Economics, Faculty of Operation and Economics of Transport and Communications, University of Zilina, 01026 Zilina, SlovakiaDepartment of Administration and Public Management, Faculty of Administration and Public Management, Bucharest University of Economic Studies, Piața Romană, 010371 Bucharest, RomaniaDepartment of Administration and Public Management, Faculty of Administration and Public Management, Bucharest University of Economic Studies, Piața Romană, 010371 Bucharest, RomaniaThe fundamental objective of this research is to learn how trade liberalization, male employment, urbanization, and foreign direct investment (FDI) affect women’s participation in the labor force. To continue, this study aims to determine the effects of trade and other factors on women’s employment in three distinct sectors (i.e., agriculture, industry, and service). From 1991 to 2021, we analyzed data from eight SAARC countries. The study’s theoretical foundation was the Cobb–Douglas production function. To better understand the connections between trade liberalization and the SAARC labor market, this paper used panel quantile regression (QR) and generalized method of moments (GMM) to empirically explore the key determinants of female employment in total and three sub-sectors. The QR method was used in the study because it looks at how variables affect each other beyond the data mean. Additionally, our data set does not follow a normal distribution, and the connection between the explained and explanatory factors is non-linear. Trade openness has a beneficial effect on total female employment throughout system GMM and all quartiles. Total female employment also benefits from an increase in GDP and FDI. However, women’s access to the workforce is hampered by urbanization. Many strategies for increasing women’s participation in the workforce across three sectors are addressed in this article. The major finding of this study is the rate of change in female employment across three industries. Women’s participation in the service and manufacturing sectors increases, whereas their participation in agriculture decreases, as a result of increased trade openness. Although these studies can assist policymakers in choosing the best feasible trade adjustments, they will also add to diverse academic and policy discussions on trade liberalization and its gender consequences. Since trade has become more accessible, more and more women are entering the workforce. Therefore, workers should acquire industrial and service-sector-related competencies.https://www.mdpi.com/2079-8954/11/3/137employment systemsfemaleinternational tradeFDISAARCquantile regression |
spellingShingle | Elvira Nica Milos Poliak Cristina Alpopi Tomas Kliestik Cristina Manole Sorin Burlacu Impact of Trade, FDI, and Urbanization on Female Employment System in SAARC: GMM and Quantile Regression Approach Systems employment systems female international trade FDI SAARC quantile regression |
title | Impact of Trade, FDI, and Urbanization on Female Employment System in SAARC: GMM and Quantile Regression Approach |
title_full | Impact of Trade, FDI, and Urbanization on Female Employment System in SAARC: GMM and Quantile Regression Approach |
title_fullStr | Impact of Trade, FDI, and Urbanization on Female Employment System in SAARC: GMM and Quantile Regression Approach |
title_full_unstemmed | Impact of Trade, FDI, and Urbanization on Female Employment System in SAARC: GMM and Quantile Regression Approach |
title_short | Impact of Trade, FDI, and Urbanization on Female Employment System in SAARC: GMM and Quantile Regression Approach |
title_sort | impact of trade fdi and urbanization on female employment system in saarc gmm and quantile regression approach |
topic | employment systems female international trade FDI SAARC quantile regression |
url | https://www.mdpi.com/2079-8954/11/3/137 |
work_keys_str_mv | AT elviranica impactoftradefdiandurbanizationonfemaleemploymentsysteminsaarcgmmandquantileregressionapproach AT milospoliak impactoftradefdiandurbanizationonfemaleemploymentsysteminsaarcgmmandquantileregressionapproach AT cristinaalpopi impactoftradefdiandurbanizationonfemaleemploymentsysteminsaarcgmmandquantileregressionapproach AT tomaskliestik impactoftradefdiandurbanizationonfemaleemploymentsysteminsaarcgmmandquantileregressionapproach AT cristinamanole impactoftradefdiandurbanizationonfemaleemploymentsysteminsaarcgmmandquantileregressionapproach AT sorinburlacu impactoftradefdiandurbanizationonfemaleemploymentsysteminsaarcgmmandquantileregressionapproach |