Social and economic factors and their relationship with gender gap in STEM in higher education: A spatial analysis of Turkey

Abstract This study investigates the social and economic factors influencing the enrollment rates of women and men in Science, Technology, Engineering, and Mathematics (STEM) fields across all 81 provinces in Turkey, utilizing a spatial econometric analysis model. This model, considering regional characteristics and spatial relationships, allows for a comprehensive understanding of the geographical distribution of interest in STEM fields and the gender disparities within. Analyses at both global and local levels were conducted to test for the presence of spatial patterns. The impact of social and economic factors on gender-specific enrollment rates in STEM fields was assessed using Ordinary Least Squares analysis, without accounting for spatial autocorrelation. The dataset, based on provincial social and economic indicators for the year 2022, revealed that both women and men in the provinces exhibit similar tendencies towards settling in STEM fields. The preference for STEM fields is lower in the eastern regions, while more pronounced in coastal and industrialized cities. The findings indicate a positive correlation with per capita gross domestic product, the number of teachers in higher education institutes, central government budget expenditure, and the population ratio in the province.

Authors

Institutions

Publication Details

Journal
GeoJournal
Published
2024-08-12
DOI
https://doi.org/10.1007/s10708-024-11153-z
Citations
2
Primary Topic
Spatial and Panel Data Analysis
Type
article
Field-Weighted Citation Impact
2.26

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Social and economic factors and their relationship with gender gap in STEM in higher education: A spatial analysis of Turkey

Zeynep Özmen Bol
2 citations
GeoJournal
Spatial and Panel Data Analysis
2.26
article

Social and economic factors and their relationship with gender gap in STEM in higher education: A spatial analysis of Turkey

Zeynep Özmen Bol
article en
2 citations

Abstract

Abstract This study investigates the social and economic factors influencing the enrollment rates of women and men in Science, Technology, Engineering, and Mathematics (STEM) fields across all 81 provinces in Turkey, utilizing a spatial econometric analysis model. This model, considering regional characteristics and spatial relationships, allows for a comprehensive understanding of the geographical distribution of interest in STEM fields and the gender disparities within. Analyses at both global and local levels were conducted to test for the presence of spatial patterns. The impact of social and economic factors on gender-specific enrollment rates in STEM fields was assessed using Ordinary Least Squares analysis, without accounting for spatial autocorrelation. The dataset, based on provincial social and economic indicators for the year 2022, revealed that both women and men in the provinces exhibit similar tendencies towards settling in STEM fields. The preference for STEM fields is lower in the eastern regions, while more pronounced in coastal and industrialized cities. The findings indicate a positive correlation with per capita gross domestic product, the number of teachers in higher education institutes, central government budget expenditure, and the population ratio in the province.

GeoJournalVol. 89(4)
Düzce Üniversitesi (TR)
Düzce Üniversitesi
Quality Education
Openalex Percentile: Top 8%
Spatial and Panel Data Analysis
2.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.