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Updated: Jul 17, 2026

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Published on: October 31, 2010

Development, dependence, and gender inequality in the Third World.

International Studies Quarterly : a Publication of the International Studies Association

|June 1, 1985

Summary

Economic development and global trade patterns do not significantly predict gender inequality. Cultural region is the most influential factor in female education and economic participation in less developed countries.

Keywords:

Agriculture Commerce Demographic Factors Developed Countries Developing Countries Economic Development Economic Factors Educational Status--women Employment Status--women Geographic Factors Income Industry Population Population Characteristics Sex Distribution Sex Factors Sex Ratio Social Change Social Development Socioeconomic Factors Socioeconomic Status Spatial Distribution Women's Status

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Last Updated: Jul 17, 2026

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Published on: October 31, 2010

Area of Science:

Sociology
Economics
Development Studies

Background:

Limited research exists on gender inequality compared to income inequality.
Macroeconomic factors like industrialization, debt, and export dependency are under-examined regarding their impact on gender disparities.

Purpose of the Study:

To explore the effects of industrialization, investment, debt, and export dependency on female education and economic participation.
To investigate these effects across 60 less developed countries, considering both absolute and relative rates compared to males.

Main Methods:

Cross-sectional analysis of data from 60 less developed countries.
Regression analysis to identify significant predictors of gender inequality indicators.

Main Results:

Macroeconomic indicators showed some significance in predicting gender inequality.
Cultural region emerged as the most significant explanatory variable for gender inequality.

Conclusions:

Findings do not strongly support modernization or dependency/world system theories regarding gender inequality.
Highlights the crucial role of cultural context in shaping gender disparities in education and economic participation.