000154065 001__ 154065
000154065 005__ 20180122225944.0
000154065 037__ $$a1547-2016-132418
000154065 041__ $$aen_US
000154065 245__ $$aMapping marginality hotspots and agricultural potentials in Bangladesh
000154065 260__ $$c2013-06
000154065 269__ $$a2013-06
000154065 270__ $$mmalekr25@gmail.com$$pMalek,   Mohammad Abdul
000154065 270__ $$mamzadjcc36@gmail.com$$pHossain,   Md. Amzad
000154065 270__ $$msaharatnajit@gmail.com$$pSaha,   Ratnajit
000154065 300__ $$a43
000154065 336__ $$aWorking or Discussion Paper
000154065 490__ $$aZEF Working Paper Series
000154065 490__ $$a114
000154065 520__ $$aAlthough Bangladesh made some remarkable achievements in reducing poverty and in improving social and economic outcomes in recent decades, about one-third of the rural population still lives below the upper poverty line most of whom depend on agriculture as their primary source of
income. One of the reasons for their poverty is the low productivity that results from sub-optimal use of inputs and other technology. To foster agricultural productivity and rural growth, technology
innovations have to reach all strata of the poor among small farming communities in rural
Bangladesh. For that purpose, technology opportunities need to be brought together with systematic and location-specific actions related to technology needs, agricultural systems, ecological resources
and poverty characteristics to overcome the barriers that economic, social, ecological and cultural conditions can create. The first step towards this is to identify underperforming areas, i.e. rural areas
in which the prevalence of poverty and other dimensions of marginality are high and agricultural potential is also high since in such areas yield gaps (potential minus actual yields) are high and productivity gains (of main staple crops) are likely to be achieved. The marginality mapping
presented in this paper has attempted to identify areas with high prevalence of societal and spatial marginality-– based on proxies for marginality dimensions representing different spheres of life-–and
high (un/der utilized) agricultural (cereal) potentials. The overlap between the marginality hotspots and the high (un/der utilized) agricultural potentials shows that Rajibpur (Kurigram), Dowarabazar
(Sunamgonj), Porsha (Naogaon), Damurhuda (Chuadanga), Hizla (Barisal), Mehendigonj (Barisal), Bauphal (Patuakhali) and Bhandaria (Pirojpur) are the marginal areas where most productivity gains could be achieved.
000154065 542__ $$fLicense granted by Sophie Koehler (sophie.koehler@uni-bonn.de) on 2013-07-26T12:27:39Z (GMT):

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000154065 650__ $$aAgricultural and Food Policy
000154065 650__ $$aCommunity/Rural/Urban Development
000154065 650__ $$aCrop Production/Industries
000154065 650__ $$aFood Security and Poverty
000154065 650__ $$aLand Economics/Use
000154065 6531_ $$aMarginality
000154065 6531_ $$aagricultural potentials
000154065 6531_ $$amarginality hotspot mapping
000154065 6531_ $$aagricultural potential mapping
000154065 6531_ $$acrop suitability mapping
000154065 6531_ $$amarginality and potential overlap mapping
000154065 700__ $$aMalek, Mohammad Abdul
000154065 700__ $$aHossain, Md. Amzad
000154065 700__ $$aSaha, Ratnajit
000154065 700__ $$aGatzweiler, Franz W.
000154065 8564_ $$s3044677$$uhttp://ageconsearch.umn.edu/record/154065/files/WP114.pdf
000154065 887__ $$ahttp://purl.umn.edu/154065
000154065 909CO $$ooai:ageconsearch.umn.edu:154065$$pGLOBAL_SET
000154065 912__ $$nSubmitted by Sophie Koehler (sophie.koehler@uni-bonn.de) on 2013-07-26T12:39:14Z
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  Previous issue date: 2013-06
000154065 982__ $$gUniversity of Bonn>Center for Development Research (ZEF)>Working Papers
000154065 980__ $$a1547