Can nighttime satellite imagery inform our understanding of education inequality?
Date
2021
Authors
Qi, Bingxin
Wang, Xuantong
Sutton, Paul
Journal Title
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Volume Title
Publisher
MDPI
Abstract
Education is a human right, and equal access to education is important for achieving sustainable development. Measuring socioeconomic development, especially the changes to education inequality, can help educators, practitioners, and policymakers with decision‐ and policy‐making. This article presents an approach that combines population distribution, human settlements, and nighttime light (NTL) data to assess and explore development and education inequality trajectories at national levels across multiple time periods using latent growth models (LGMs). Results show that countries and regions with initially low human development levels tend to have higher levels of associated education inequality and uneven distribution of urban population. Additionally, the initial status of human development can be used to explain the linear growth rate of education ine-quality, but the association between trajectories becomes less significant as time increases.
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Keywords
education inequality, nighttime light, urbanization, sustainable development, human development
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Source
Remote Sensing
Type
Journal article
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Access Statement
Open Access
License Rights
Creative Commons Attribution 4.0 International License
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