以不同的方式理解家庭动态:加纳北部个人、家庭和社区对可持续发展家庭规模影响的多层次分析

Moomin Solahudeen Tando , Mutala Gawusu Sidik , Shuaib Dong Ahmed , Sidique Gawusu , Seidu Abdulai Jamatutu , Mohammed Abdul-Fatawu
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引用次数: 0

摘要

本研究考察了加纳北部家庭规模的决定因素,使用跨个人、家庭和社区层面的多层次模型。对北方三地20个社区240户家庭的分析表明,社区层面的因素在决定家庭规模方面掩盖了个人特征。平均户数为12.91人(SD = 8.67),显示出较大的社区水平方差(12.700),占总方差的42.3%。当适当考虑社区背景时,个人水平的预测因子(年龄、性别、教育程度)未能达到统计显著性(p > 0.05)。社区在家庭规模上表现出显著差异,从7.75人到19.4人不等。粮食安全分析表明,大家庭(15人)报告的结果较好,只有30.5%的家庭出现粮食不足,而小家庭(≤5人)的这一比例为73.7%。这些发现挑战了优先考虑个人行为改变的传统方法,而不是强调以社区为中心的政策的必要性,这些政策承认家庭结构是对当地条件的适应性反应。本研究强调,通过与可持续发展目标(sdg)(包括无贫困、零饥饿、良好健康和福祉、优质教育和可持续社区)保持一致,量身定制、针对社区的干预措施对于有效的农村发展至关重要。这种多层次视角为理解农村家庭动态提供了一个更细致的框架,对加纳北部和类似地区设计可持续生计干预措施具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Understanding household dynamics differently: A multilevel analysis of individual, household, and community influences on household size for sustainable development in Northern Ghana

Understanding household dynamics differently: A multilevel analysis of individual, household, and community influences on household size for sustainable development in Northern Ghana
This study examines household size determinants in Northern Ghana using multilevel modeling across individual, household, and community levels. Analysis of 240 households across 20 communities in three northern regions reveals that community-level factors overshadow individual characteristics in determining household size. The average household size of 12.91 members (SD = 8.67) shows substantial community-level variance (12.700), accounting for 42.3% of the total variance. Individual-level predictors (age, gender, education) fail to achieve statistical significance (p > 0.05) when community context is properly accounted for. Communities exhibit marked differences in household sizes, ranging from 7.75 to 19.4 members. Food security analysis indicates that very large households (>15 members) report better outcomes, with only 30.5% experiencing food insufficiency compared to 73.7% of small households (≤5 members). These findings challenge conventional approaches that prioritize individual behavior change, instead highlighting the necessity for community-centric policies that recognize household structures as adaptive responses to local conditions. This study emphasizes the importance of tailored, community-specific interventions for effective rural development by aligning with Sustainable Development Goals (SDGs) including No Poverty, Zero Hunger, Good Health and Well-being, Quality Education, and Sustainable Communities. This multilevel perspective offers a more nuanced framework for understanding household dynamics in rural settings, with significant implications for designing sustainable livelihood interventions in Northern Ghana and similar contexts.
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