An investigation of the spatial determinants of the local prevalence of poverty in rural Malawi
Of Malawi’s rural population, 66% have a level of consumption below the national poverty line. We examine the spatial determinants of the prevalence of poverty for small spatially defined populations there. A theoretical approach based on the risk-chain conceptualization of household economic vulner...
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Veröffentlicht in: | Food policy 2005-10, Vol.30 (5), p.532-550 |
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creator | Benson, Todd Chamberlin, Jordan Rhinehart, Ingrid |
description | Of Malawi’s rural population, 66% have a level of consumption below the national poverty line. We examine the spatial determinants of the prevalence of poverty for small spatially defined populations there. A theoretical approach based on the risk-chain conceptualization of household economic vulnerability guided selection of a set of potential risks and coping strategies – our analytical determinants – that could be represented spatially. We used these to develop global and local models of poverty prevalence. In our global spatial error model, only eight of 24 determinants selected for analysis proved significant. In contrast, all determinants considered were significant in at least some of the local models developed using geographically weighted regression. Moreover, these models provided strong evidence of the spatial non-stationarity of the relationship between poverty and its determinants. This result implies that poverty reduction efforts in rural Malawi should be designed for and targeted at district and subdistrict levels. |
doi_str_mv | 10.1016/j.foodpol.2005.09.004 |
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This result implies that poverty reduction efforts in rural Malawi should be designed for and targeted at district and subdistrict levels.</description><subject>Conceptualization</subject><subject>Estimation</subject><subject>Food policy</subject><subject>Food security</subject><subject>Malawi</subject><subject>Mapping</subject><subject>Poverty alleviation</subject><subject>Poverty mapping</subject><subject>Poverty reduction</subject><subject>Risk chain</subject><subject>Rural population</subject><subject>Rural poverty</subject><subject>Small area estimation</subject><issn>0306-9192</issn><issn>1873-5657</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNqFkE9v1DAQxS1EpS6lHwEpJ24Jk3gd2ydUVVCQFnHpfeS1x9SrbBzsbNB-e5xu4drDjP_Me0_2j7EPLTQttP2nQ-NjdFMcmg5ANKAbgO0btmmV5LXohXzLNsChr3Wru2v2LucDAHSwhQ3Du7EK40J5Dr_MHOJYRV_NT1TlqRzNUDmaKR3DaMY5_5sN0ZbJlGgxA42W1vspLpTmcwmr0imV8Q8zmD_hPbvyZsh0-7LesMevXx7vv9W7nw_f7-92td3Kdq577b3fgwNrOPdOdb20SntjjAKt_F510HquPJDec6l7Z5TnlntF5JST_IZ9vMROKf4-ld_gMWRLw2BGiqeMXErZcdCvCjsQUnOxLUJxEdoUc07kcUrhaNIZW8AVOx7wBTuu2BE0FuzFt7v4Ek1k_5uI6OCLNuCC3HAo7Vzq2clNKCWwL31ad7xDIQCf5mOJ-3yJowJvCZQw27AydyGRndHF8MqD_gJ7bqod</recordid><startdate>20051001</startdate><enddate>20051001</enddate><creator>Benson, Todd</creator><creator>Chamberlin, Jordan</creator><creator>Rhinehart, Ingrid</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>20051001</creationdate><title>An investigation of the spatial determinants of the local prevalence of poverty in rural Malawi</title><author>Benson, Todd ; Chamberlin, Jordan ; Rhinehart, Ingrid</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c471t-69fffb0d0ca33fd8267c89faaa8098fb8201f38f0e9b3796da8f3c3f8eed8d73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Conceptualization</topic><topic>Estimation</topic><topic>Food policy</topic><topic>Food security</topic><topic>Malawi</topic><topic>Mapping</topic><topic>Poverty alleviation</topic><topic>Poverty mapping</topic><topic>Poverty reduction</topic><topic>Risk chain</topic><topic>Rural population</topic><topic>Rural poverty</topic><topic>Small area estimation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Benson, Todd</creatorcontrib><creatorcontrib>Chamberlin, Jordan</creatorcontrib><creatorcontrib>Rhinehart, Ingrid</creatorcontrib><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>Food policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Benson, Todd</au><au>Chamberlin, Jordan</au><au>Rhinehart, Ingrid</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An investigation of the spatial determinants of the local prevalence of poverty in rural Malawi</atitle><jtitle>Food policy</jtitle><date>2005-10-01</date><risdate>2005</risdate><volume>30</volume><issue>5</issue><spage>532</spage><epage>550</epage><pages>532-550</pages><issn>0306-9192</issn><eissn>1873-5657</eissn><abstract>Of Malawi’s rural population, 66% have a level of consumption below the national poverty line. We examine the spatial determinants of the prevalence of poverty for small spatially defined populations there. A theoretical approach based on the risk-chain conceptualization of household economic vulnerability guided selection of a set of potential risks and coping strategies – our analytical determinants – that could be represented spatially. We used these to develop global and local models of poverty prevalence. In our global spatial error model, only eight of 24 determinants selected for analysis proved significant. In contrast, all determinants considered were significant in at least some of the local models developed using geographically weighted regression. Moreover, these models provided strong evidence of the spatial non-stationarity of the relationship between poverty and its determinants. 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subjects | Conceptualization Estimation Food policy Food security Malawi Mapping Poverty alleviation Poverty mapping Poverty reduction Risk chain Rural population Rural poverty Small area estimation |
title | An investigation of the spatial determinants of the local prevalence of poverty in rural Malawi |
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