意大利学校空气质量差与家庭社会经济地位造成的教育不平等

IF 2.7 1区 社会学 Q1 SOCIOLOGY
Fabrizio Bernardi , Risto Conte Keivabu
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引用次数: 0

摘要

意大利是一个空气污染严重、地域差异显著的国家,本文研究了空气质量差对教育成就影响的社会分层问题。我们主要探讨两个问题:第一,不同社会经济背景的学生在学校接触高浓度颗粒物(PM2.5)的情况是否存在差异;第二,来自高社会经济地位家庭和低社会经济地位家庭的儿童接触恶劣空气质量对学习成绩的影响是否存在差异。利用2019年意大利全国收集的456508名八年级学生的数学和阅读测试成绩组成的新数据集,我们根据地址对6882所学校的位置进行了地理编码,并利用大气成分分析小组的PM2.5数据将周边地区的空气污染水平联系起来。为了解决潜在的混杂因素,我们估计了省市固定效应,并对学校周边特征和学校质量指标进行了控制。我们的分析得出了三个重要发现。首先,社会经济背景较高的学生往往就读于 PM2.5 水平较高的学校。然而,在加入省市固定效应后,社会经济背景与 PM2.5 暴露之间的正相关关系消失了,这表明这种正相关关系可以通过社会经济背景对省市的选择来解释。其次,我们发现 PM2.5 对数学和阅读考试成绩有微小但一致的负面影响。第三,这种负面影响主要出现在社会经济背景较差的学生身上。我们的结论是,在意大利,环境风险与基于社会背景的教育成就差异之间的关系是微妙的,并受到该国特定环境的重要影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Poor air quality at school and educational inequality by family socioeconomic status in Italy

This paper investigates social stratification in the context of poor air quality's impact on educational achievement in Italy, a country characterized by high levels of air pollution and significant geographical diversity. We address two primary questions: firstly, whether students from different socio-economic backgrounds vary in their exposure to high levels of particulate matter (PM2.5) at school, and secondly, if the effect of exposure to poor air quality on academic performance differs between children from high and low socio-economic status families. Utilizing a novel dataset comprising test scores in math and reading for 456,508 8th-grade students, collected nationally in Italy in 2019, we geocode the locations of 6882 schools based on their addresses and link the level of air pollution in the surrounding areas using PM2.5 data from the Atmospheric Composition Analysis Group. To address potential confounding factors, we estimate municipality and province fixed effects and control for indicators of school neighborhood characteristics and school quality. Our analysis yields three key findings. Firstly, students from higher socio-economic backgrounds tend to attend schools with higher PM2.5 levels. However, the positive association between SES and exposure to PM2.5 disappears when adding province and municipality fixed effects, suggesting that the positive association can be explained by selection into provinces and municipalities by SES. Secondly, we identify a small yet consistent negative effect of PM2.5 on math and reading test scores. Thirdly, this adverse impact is primarily observed among students from low socio-economic backgrounds. We conclude that the relationship between environmental risks and disparities in educational achievement based on social background in Italy is nuanced and critically influenced by the country's specific context.

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来源期刊
CiteScore
7.80
自引率
6.00%
发文量
46
期刊介绍: The study of social inequality is and has been one of the central preoccupations of social scientists. Research in Social Stratification and Mobility is dedicated to publishing the highest, most innovative research on issues of social inequality from a broad diversity of theoretical and methodological perspectives. The journal is also dedicated to cutting edge summaries of prior research and fruitful exchanges that will stimulate future research on issues of social inequality. The study of social inequality is and has been one of the central preoccupations of social scientists.
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