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Poverty Mapping and Assessing the Relationship between Poverty and Socio-demographic Characteristics of Households: A Study in Kelantan, Malaysia

机译:贫困图和评估贫困与家庭人口统计特征之间的关系:马来西亚吉兰丹州的一项研究

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Background and Objective: Though the Malaysian economy experienced a large reduction in the incidence of poverty during the last few decades, the rate of poverty is still high in several states of the country. This study aims to estimate the poverty rate at smaller areas such as districts in the state of Kelantan, Malaysia through poverty mapping. The study also examines the association of poverty status of the households with their socio-demographic characteristics in the state. Methodology: The data were obtained from the Implementation and Coordination Unit (ICU), Malaysia which collected the information through household survey in the 10 districts in Kelantan from 2008-2011. Summary descriptive statistics were applied to analyze socio-demographic characteristics of the surveyed households. The ArcGIS 10 was used for poverty mapping to show spatial distribution of poverty. It was found that majority of the households in each district of the state are trapped in poverty (either hard-core poor, poor or vulnerable to poverty). However, a significantly lower portion (on average, 5%) of the households in each district is hard-core poor. The rural areas of the state experience higher incidences of poverty as compared to urban locality. Results: It was also found that majority (on average, 55%) of the households from each ethnic group are vulnerable to poverty. Similarly, the greatest portion of the households from each group of occupation are poor and vulnerable to poverty (on averge, 81% on a collective basis). Conclusion: The findings of this study provide an insight about poverty statistics at smaller area and socio-demographic distribution of the poor households which might be helpful in identifying priority areas and targeting anti-poverty programmes to minimize the incidence of poverty at district, state as well as national level.
机译:背景和目标:尽管在过去的几十年中,马来西亚经济的贫困发生率大大降低,但该国多个州的贫困率仍然很高。这项研究旨在通过贫困图估算马来西亚吉兰丹州等较小地区的贫困率。该研究还考察了该州家庭贫困状况与他们的社会人口特征之间的联系。方法:数据来自马来西亚的实施与协调部门(ICU),该部门通过吉兰丹州10个地区的家庭调查(2008-2011年)收集了这些信息。摘要描述性统计数据用于分析被调查家庭的社会人口统计学特征。 ArcGIS 10用于贫困状况映射,以显示贫困的空间分布。结果发现,该州每个地区的大多数家庭陷于贫困之中(核心贫困人口,贫困人口或易受贫困影响的人口)。但是,每个地区中极少的家庭(平均5%)是核心贫困人口。与城市地区相比,该州农村地区的贫困发生率更高。结果:还发现,每个族裔的大多数家庭(平均55%)易受贫困困扰。同样,来自每个职业类别的家庭中的绝大部分是贫穷的,容易遭受贫困的影响(平均起来,集体的比例为81%)。结论:本研究的结果提供了有关较小区域贫困统计数据和贫困家庭的社会人口分布的信息,这可能有助于确定优先领域和针对性扶贫计划,以最大程度地减少地区,州的贫困发生率。以及国家一级。

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