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| dc.contributor.author | demissie, bimrew | |
| dc.date.accessioned | 2017-12-27T03:36:00Z | |
| dc.date.available | 2017-12-27T03:36:00Z | |
| dc.date.issued | 2017-12-27 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/8328 | |
| dc.description.abstract | 'overty has a spatial dimension. Geography, parlic11l11rly the physical environment, plays a significant role in the poverty condition of communities and of the people living in disadvumaged regions. The spatial handling of poverty is an emerging; paradigm for which researches on the spatio! modeling and muppinff of poverty are required. ' However, the spatial dimension of poverty has not been given much at/en/ion in ma11y poverty studies, especially in Ethiopia. In an attempt to underscore Its importance. this study produced.poverty indices using Small Area Estimation approach and poverty map usmg GIS for all woredas ill Amharo region. The Small Area Estimation of Poverty in rural Amhara was prepared with an objeottve 10 provide a more di saggrcgated picture of poverty in the region down tn Woreda level. based on derailed data from the 200·1!5 • • household .mney with the 2007 population census. 111e11 ~ study explores the spatial patterns and the possible underlying determinarus a.{fesfiiit{ po>'erly cGMH#Qu. in rural . . woredas of A:VRS. Agro-ciimtuic and physical condition such as elevation, slope, soil. rainfall and a~cess co river. os well as access to road infrostructure and proximity to major markets were all derived using (!JS analysts. Each of these variables was correlated with poverty indices using btvariute correlation analysis. Finally ail of these variables were combined using multivariate regression analyeis /0 investigate their impact on poverty. Results of the study disclose that rile spatial patterns o( poverty in terms of incidence exhibit spaualty heterogeneous characteristics. The spatial variation in the incidence of poverty is mainly caused by ineqnalities on access lo road irfrastructure. proximity to major markets and agro-climutic factors, paniculoriy. rairfall, soil, and slope proved ta be significan: determinants to poverty in I he study area. This suggests that geographically disadvantageous areas within the study area existed. 111us, geography. accessibility to road i'!]raslruelure. and markets ha.~ a strong impact on the condition ofpoverty of people in the region. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | geography | en_US |
| dc.title | PATIAL POVERTY ANALYS.IS IN RURAL Al\1HARA REGION: APPLICATION OF Sl\·1ALL A REA 'ESTIMATION AND GIS METHODS | en_US |
| dc.type | Thesis | en_US |
