Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach.
This study conducts a comprehensive analysis of gender inequality in Sri Lanka, focusing on the relationship between key socioeconomic factors and the Gender Inequality Index (GII) from 1990 to 2022. By applying machine learning techniques, including Decision Trees and Ensemble methods, the study in...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2024-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0312395 |
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| _version_ | 1841555541204140032 |
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| author | Sherin Kularathne Amanda Perera Namal Rathnayake Upaka Rathnayake Yukinobu Hoshino |
| author_facet | Sherin Kularathne Amanda Perera Namal Rathnayake Upaka Rathnayake Yukinobu Hoshino |
| author_sort | Sherin Kularathne |
| collection | DOAJ |
| description | This study conducts a comprehensive analysis of gender inequality in Sri Lanka, focusing on the relationship between key socioeconomic factors and the Gender Inequality Index (GII) from 1990 to 2022. By applying machine learning techniques, including Decision Trees and Ensemble methods, the study investigates the influence of economic indicators such as GDP per capita, government expenditure, government revenue, and unemployment rates on gender disparities. The analysis reveals that higher GDP and government revenues are associated with reduced gender inequality, while greater unemployment rates exacerbate disparities. Explainable AI techniques (SHAP) further highlight the critical role of government policies and economic development in shaping gender equality. These findings offer specific insights for policymakers to design targeted interventions aimed at reducing gender gaps in Sri Lanka, particularly by prioritizing economic growth and inclusive public spending. |
| format | Article |
| id | doaj-art-f3122f0637f040168f13aedf873daa0f |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-f3122f0637f040168f13aedf873daa0f2025-01-08T05:32:33ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-011912e031239510.1371/journal.pone.0312395Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach.Sherin KularathneAmanda PereraNamal RathnayakeUpaka RathnayakeYukinobu HoshinoThis study conducts a comprehensive analysis of gender inequality in Sri Lanka, focusing on the relationship between key socioeconomic factors and the Gender Inequality Index (GII) from 1990 to 2022. By applying machine learning techniques, including Decision Trees and Ensemble methods, the study investigates the influence of economic indicators such as GDP per capita, government expenditure, government revenue, and unemployment rates on gender disparities. The analysis reveals that higher GDP and government revenues are associated with reduced gender inequality, while greater unemployment rates exacerbate disparities. Explainable AI techniques (SHAP) further highlight the critical role of government policies and economic development in shaping gender equality. These findings offer specific insights for policymakers to design targeted interventions aimed at reducing gender gaps in Sri Lanka, particularly by prioritizing economic growth and inclusive public spending.https://doi.org/10.1371/journal.pone.0312395 |
| spellingShingle | Sherin Kularathne Amanda Perera Namal Rathnayake Upaka Rathnayake Yukinobu Hoshino Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach. PLoS ONE |
| title | Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach. |
| title_full | Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach. |
| title_fullStr | Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach. |
| title_full_unstemmed | Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach. |
| title_short | Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach. |
| title_sort | analyzing the impact of socioeconomic indicators on gender inequality in sri lanka a machine learning based approach |
| url | https://doi.org/10.1371/journal.pone.0312395 |
| work_keys_str_mv | AT sherinkularathne analyzingtheimpactofsocioeconomicindicatorsongenderinequalityinsrilankaamachinelearningbasedapproach AT amandaperera analyzingtheimpactofsocioeconomicindicatorsongenderinequalityinsrilankaamachinelearningbasedapproach AT namalrathnayake analyzingtheimpactofsocioeconomicindicatorsongenderinequalityinsrilankaamachinelearningbasedapproach AT upakarathnayake analyzingtheimpactofsocioeconomicindicatorsongenderinequalityinsrilankaamachinelearningbasedapproach AT yukinobuhoshino analyzingtheimpactofsocioeconomicindicatorsongenderinequalityinsrilankaamachinelearningbasedapproach |