苏丹生育率的决定因素:多指标类集调查分析,2014

Populasi Pub Date : 2019-09-15 DOI:10.22146/JP.44146
M. Hassan, S. Sukamdi, A. Pitoyo
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引用次数: 0

摘要

苏丹不断报告高生育率。虽然世界各地的各种研究都充分记录了潜在和近因决定因素的影响,但缺乏关于它们对苏丹生育率影响的最新信息。因此,本研究的目的是检查苏丹生育率的水平、模式和决定因素。分析基于2014年苏丹多指标类集调查(SMICS)数据。SMICS数据是具有全国代表性的数据。该调查对全国18302名女性进行了抽样调查,收集了15-49岁女性的信息。分析是基于Bongaarts模型。结果显示,产后不孕对降低苏丹生育率的影响最大(30.7%或4.7个孩子),其次是婚姻(27.5%或4.3个孩子)和避孕(7.8%或1.2个孩子)。研究结果还表明,教育、财富和居住地之间存在显著差异。这意味着教育,特别是高等教育的增加,财富状况的改善和城市地区的生活似乎对苏丹的生育教育有很大的影响。此外,它还同意,不同地区和国家的社会和经济发展存在区域生育率差异。因此,为了管理苏丹的生育率,政策和规划应考虑到婚姻、产后不孕、避孕、教育和财富对生育率的影响。由于缺乏这种有针对性的干预措施,人口增长仍将是苏丹面临的一个挑战。
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Fertility Determinan in Sudan: Analysis of Multiple Indicator Cluster Survey, 2014
Sudan has continuously reported high fertility rates. While the influence of both underlying and proximate determinants is well documented in various studies worldwide, there’s a lack of recent information on their influence on fertility in Sudan. Therefore, the objective of this study to examine the levels, patterns and determinants of fertility in Sudan. The analyses were based on 2014 Sudan Multiple Indicators Cluster Survey (SMICS) data. The SMICS data is nationally representative data. The survey sampled 18,302 women across the country, collecting information on females aged 15-49 years. The analysis was based on the Bongaarts Model. Results show that post-partum infecundability has the largest effect in reducing fertility in Sudan (30.7 per cent or 4.7 birth) followed by marriage (27.5 per cent or 4.3 birth) and contraceptive (7.8 per cent or 1.2 birth). The findings of study shown also that significant differences between education, wealth, and place of residence. This means that the increase in education, especially higher education, improve the wealth status and living in urban areas seem to have a great influence toward fertility education in Sudan. Also, it agreed that there is a regional fertility differential associated with social and economic development in the different region and states. Therefore, in order to manage fertility in Sudan, policies and programmes should consider the effects of marriage, postpartum infecundity, contraception, education, and wealth on fertility. Lack of such targeted interventions, population growth will remain a challenge in Sudan.  
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