Determinants of Household Poverty Status in Kediri City

M. Khusaini, Ferry Prasetyia, Yennie Dwi Rozanti
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引用次数: 2

Abstract

Analyses of the causes and the characteristics of poverty at micro levels provide more efficient strategies for the attainment of main Sustainable Development Goals. This study aimed to analyze the extent to which the characteristics of individuals, households, and communities influence the probability of household poverty status. The 2019 Social Welfare Integrated Data and Village Potential Data of Kediri City were analyzed using an ordered logit regression model and then interpreted based on marginal effect calculation. The study found that household heads’ squared-age, household members’ education, household members’ occupation, household head gender (female), ownership of assets, access to the internet, access to proper sanitation, and access to financial institutions reduced the probability of households being categorized as very poor and poor. This finding indicated that household productivity influenced by the household head’s characteristics in managing productive assets, supported by access to infrastructure, could increase the household's welfare. However, the household head’s age and marital status, dependency ratio, and access to health facilities increased household’s probability of being very poor and poor. Policies regarding poverty must be adjusted to the poverty characteristics and status. Improving access, equalizing education, and improving job opportunity and infrastructure management that ensure accessibility and enhancement in service quality need to be made to increase the status of households with the lowest 40% welfare in Kediri City. Policies regarding poverty should be focused more on social programs for very poor and poor households. Meanwhile, those near-poor and vulnerable-to-poor need more empowering programs.
克迪里市家庭贫困状况的决定因素
从微观层面分析贫困的原因和特点,为实现主要的可持续发展目标提供了更有效的战略。本研究旨在分析个人、家庭和社区的特征在多大程度上影响家庭贫困状况的概率。采用有序logit回归模型对克迪日市2019年社会福利综合数据和村庄潜力数据进行分析,然后基于边际效应计算进行解释。研究发现,户主™ 家庭成员的平方年龄™ 教育,家庭成员™ 职业、户主性别(女性)、资产所有权、使用互联网、获得适当的卫生设施和使用金融机构降低了家庭被归类为赤贫和贫困的可能性。这一发现表明,家庭生产力受到户主的影响™其在管理生产性资产方面的特点,加上获得基础设施的支持,可以增加家庭的福利。然而,户主™家庭的年龄和婚姻状况、抚养比率和获得医疗设施的机会增加了™s变得非常贫穷的可能性。必须根据贫困的特点和状况调整有关贫困的政策。需要改善可及性、平等教育、改善就业机会和基础设施管理,以确保可及性和提高服务质量,从而提高凯迪里市40%福利最低的家庭的地位。有关贫困的政策应更多地侧重于针对赤贫和贫困家庭的社会方案。与此同时,那些接近贫困和易受贫困影响的人需要更多的赋权计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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