墨西哥格雷罗山区土著人民贫困的决定因素

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-07-25 DOI:10.1111/dpr.12733
Jorge Mora-Rivera, Isael Fierros-González, Fernando García-Mora
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引用次数: 0

摘要

动机 消除贫困是墨西哥面临的最大挑战之一。对于土著社区而言,这一挑战更为严峻,2018 年,每 10 人中就有 7 人生活在贫困之中。尽管经济、社会和文化对原住民产生了影响,但有关墨西哥原住民贫困决定因素的文献却寥寥无几,而有关格雷罗山区(GMR)的研究更是少之又少。 目的 本研究旨在确定格雷罗山区收入和多维贫困的社会经济和背景决定因素,该地区是墨西哥和拉丁美洲最贫困的地区之一,主要由土著人居住。 方法和途径 我们使用 2018 年墨西哥全国家庭收入和支出调查社会经济条件模块中收集的 989 名 GMR 居民的数据。为了研究个人贫困的主要决定因素,我们使用了贝叶斯逻辑回归(BLR),这使我们能够利用数据更新参数信息并评估其分布特性。该方法将多因果因素简化,将其归类为福祉类别,其中包含的不仅仅是经济因素。 研究结果 收入贫困人口也是多维贫困人口。教育有助于减少贫困,因为在教育上花费较多的家庭不太可能成为贫困家庭。成员多的家庭、受扶养人比率高的家庭以及有残疾成员的家庭往往都是贫困家庭。能使用固定电话和互联网的家庭不太可能成为贫困家庭。 政策影响 需要对贫困进行更多诊断。这应考虑该地区每个土著群体的重叠脆弱性(制度、社会经济、环境和社会文化)。需要监测公共政策的执行情况。
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Determinants of poverty among Indigenous people in Mexico's Guerrero Mountain Region

Motivation

The eradication of poverty is one of Mexico's greatest challenges. This challenge is even greater for Indigenous communities, where seven out of 10 people were living in poverty in 2018. Despite the economic, social, and cultural impacts on Indigenous people, there has been scant literature addressing the determinants of Indigenous poverty in Mexico, while studies on the Guerrero Mountain Region (GMR) are scarcer still.

Purpose

This study aims to identify the socioeconomic and contextual determinants of income and multidimensional poverty in the GMR, one of the poorest regions in Mexico and Latin America, inhabited primarily by Indigenous people.

Methods and approach

We use data on 989 individuals in the GMR, collected during the 2018 Socioeconomic Conditions Module of Mexico's National Household Income and Expenditure Survey. To examine the main determinants of individual poverty, we use Bayesian logistic regression (BLR), which allows us to use the data to update information about the parameters and evaluate their distributional properties. The method simplifies multi-causal elements by classifying them into categories of well-being that incorporate more than economic factors.

Findings

The income-poor population is also multidimensionally poor. Education helps to reduce poverty as households that spend more on schooling are less likely to be poor. Households with many members, those with high dependency ratios, and those with members living with disability all tend to be poor. Households with access to landlines and the internet are less likely to be poor.

Policy implications

More diagnosis of poverty is needed. This should consider overlapping vulnerabilities (institutional, socioeconomic, environmental, and sociocultural) in this region for each Indigenous group. Public policies need to be monitored for performance.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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