印度基于种姓的教育程度对财富积累的收益递减。

Open journal of educational research Pub Date : 2024-01-01 Epub Date: 2024-09-05 DOI:10.31586/ojer.2024.1056
Shervin Assari, Hossein Zare
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引用次数: 0

摘要

背景:教育为个人提供了提高社会经济地位的机会,是公认的创造财富的关键驱动力。然而,在不同的社会群体中,教育在创造财富方面的效果却大相径庭。在美国,研究表明,与白人相比,黑人受教育的经济回报率较低,这一现象可以用 "少数群体回报率降低(MDRs)"理论来解释。虽然 MDRs 在多个国家都有记录,但其与印度种姓差异的相关性仍未得到探讨:本研究旨在调查印度基于种姓的教育财富回报递减现象。我们利用印度人口与健康调查(DHS)的数据,假设与来自高种姓的人相比,来自在册种姓(SCs)的人受教育程度的回报在创造财富方面要弱一些:本研究是对印度人口与健康调查(DHS)-2019/2021 年数据的横截面分析,研究不同种姓群体(在册种姓和非在册种姓)的教育程度与财富之间的关系。在控制年龄、性别和地区等相关协变量的情况下,将采用多元回归模型来评估种姓和教育在预测财富结果方面的相互作用:预计研究将发现,就财富而言,在册种姓个人的教育回报明显低于高种姓个人。这表明,基于种姓的歧视继续阻碍着在册种姓的经济发展,即使他们的教育水平与上层种姓的人相近:本研究的结果将 MDR 框架扩展到印度的情况,表明基于种姓的差异导致教育创造财富的回报减少。本研究强调,有必要制定有针对性的政策,解决在册种姓在将教育成就转化为经济成功方面面临的具体障碍,并突出强调了印度种姓歧视的持续影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Caste-based Diminished Returns of Educational Attainment on Wealth Accumulation in India.

Background: Education is widely recognized as a key driver of wealth generation, providing individuals with the opportunity to enhance their socioeconomic status. However, the effectiveness of education in generating wealth varies significantly across different social groups. In the United States, research has shown that Black individuals experience weaker economic returns on education compared to their White counterparts, a phenomenon explained by the theory of Minorities' Diminished Returns (MDRs). Although MDRs have been documented in various countries, their relevance to caste-based disparities in India remains unexplored.

Objective: This study aims to investigate the caste-based diminished returns of education on wealth in India. We hypothesize that the returns on educational attainment, in terms of wealth generation, will be weaker for individuals from Scheduled Castes (SCs) compared to those from higher castes, using data from the India Demographic and Health Surveys (DHS).

Methods: This study was a cross-sectional analysis of DHS -2019/2021 data from India, examining the relationship between educational attainment and wealth across different caste groups (scheduled castes and non-scheduled castes). Multivariate regression models will be employed to assess the interaction between caste and education in predicting wealth outcomes, controlling for relevant covariates such as age, gender, and region.

Results: The study is expected to find that the returns on education, in terms of wealth, are significantly weaker for individuals from Scheduled Castes compared to those from higher castes. This would indicate that caste-based discrimination continues to hinder the economic progress of Scheduled Castes, even when they achieve similar levels of education as their upper-caste counterparts.

Conclusion: The findings of this study will extend the MDR framework to the Indian context, demonstrating that caste-based disparities result in diminished returns on education for wealth generation. This study underscores the need for targeted policies that address the specific barriers faced by Scheduled Castes in translating educational attainment into economic success and highlights the ongoing impact of caste-based discrimination in India.

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