000			02779nab a22003857a 4500
001			G93547
003			MX-TxCIM
005			20230814165025.0
008			210824s2010 ne |||p|op||| 00| 0 eng d
022	0		_a0143-6228
024	8		_ahttps://doi.org/10.1016/j.apgeog.2009.05.001
040			_aMX-TxCIM
041			_aeng
090			_aCIS-5716
100	1		_aErenstein, O. _gFormerly Socioeconomics Program _8INT2677 _9848
245	1	0	_aPoverty mapping based on livelihood assets : _ba meso-level application in the Indo-Gangetic Plains, India
260			_aNetherlands : _bElsevier, _c2010.
500			_aPeer review
500			_aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0143-6228
520			_aPoverty maps are an increasingly popular mode of visualizing the spatial dimension of poverty. They help guide priority-setting and target poverty-alleviation interventions. The utility of poverty maps can be enhanced by spatially disaggregating the underlying causes of poverty. One promising approach explored in this paper is the use of livelihood assets – natural, physical, human, social and financial – the building blocks of sustainable livelihoods. We illustrate the approach by mapping and contrasting poverty and livelihood assets within the Indian Indo-Gangetic Plains drawing on district-level indicators and livelihood asset-based principal components. The relatively low poverty incidence in the north-western plains is associated with an overall favorable livelihood asset base, particularly pronounced for natural and financial capitals. There is a marked gradient with poverty increasing eastwards, reflecting a similarly marked decline in livelihood assets. The overall unfavorable livelihood asset base in the mid-Gangetic Plains of Bihar and Eastern Uttar Pradesh provides a particularly challenging spatial poverty trap. The maps and regional contrasts of poverty and livelihood assets provide a foundation for future research and development work and reiterate the need for cross-sectoral and inter-disciplinary approaches.
536			_aSocioeconomics Program
546			_aText in English
591			_aElsevier
594			_aINT2677|INT2698
650		7	_aPoverty _2AGROVOC _91215
650		7	_aSpatial analysis _2AGROVOC _912329
650		7	_aLivelihoods _2AGROVOC _92558
650		7	_aTargeting _2AGROVOC _912475
651		7	_2AGROVOC _93726 _aIndia
700	1		_9852 _aHellin, J. J. _gFormerly Socioeconomics Program _8INT2698
700	1		_943 _aChandna, P.
773	0		_tApplied Geography _gv. 30, no. 1, p. 112-125 _dNetherlands : Elsevier, 2010. _x0143-6228
856	4		_yAccess only for CIMMYT Staff _uhttps://hdl.handle.net/20.500.12665/1081
942			_cJA _2ddc _n0
999			_c27897 _d27897