000047697 001__ 47697
000047697 005__ 20180508204138.0
000047697 037__ $$a434-2016-33648
000047697 041__ $$aen
000047697 194__ $$aReDIF-Paper
000047697 245__ $$aMeasuring the poverty impact of ACIAR projects: a broad framework
000047697 260__ $$c2002
000047697 269__ $$a2002
000047697 300__ $$a35
000047697 336__ $$aReport
000047697 490__ $$aImpact Assessment Series
000047697 490__ $$a19
000047697 520__ $$aThis report sets out some broad ideas about how poverty evaluation could be conducted for ACIAR research projects. As with good benefit–cost analysis, there are good practices that need to be observed when undertaking poverty analysis. While poverty is a broad concept, and can be addressed through many means, these need to be grounded in some common understanding of the economics of poverty. This report is concerned mostly with quantitative evaluation, in the same sense that current ACIAR project evaluations are quantitative. That is, it is concerned with saying something about the order of magnitude of the effects of the project. Of course, qualitative analysis is important, and in most cases is a prelude to quantification — there is little point quantifying if you don’t understand what you are talking about. Quantification, however, provides a discipline and focus for qualitative speculation and provides an important extra dimension when comparing the effects of different projects. When quantifying, there are many sensible approaches that could be adopted. We will focus here on approaches that are broadly consistent with the current approaches to benefit–cost analysis and that could readily be used to augment those approaches. The report begins by reviewing some basic notions of poverty (Chapter 2) and then goes on (Chapter 3) to discuss in principle the ways that agricultural research could influence poverty. Chapter 4 explains, with the use of some examples, a range of analytical approaches that could be taken, and Chapter 5 draws some specific implications for ACIAR.
000047697 542__ $$fLicense granted by Emily Flowers (flowers@aciar.gov.au) on 2009-02-20T02:13:45Z (GMT):

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000047697 650__ $$aAgribusiness
000047697 650__ $$aAgricultural and Food Policy
000047697 650__ $$aCrop Production/Industries
000047697 650__ $$aFarm Management
000047697 650__ $$aFood Consumption/Nutrition/Food Safety
000047697 650__ $$aFood Security and Poverty
000047697 650__ $$aInternational Development
000047697 650__ $$aLivestock Production/Industries
000047697 650__ $$aProduction Economics
000047697 6531_ $$apoverty evaluation
000047697 6531_ $$abenefit-cost analysis
000047697 6531_ $$apoverty analysis
000047697 6531_ $$aeconomics of poverty
000047697 6531_ $$aquantitative evaluation
000047697 6531_ $$aanalytical
000047697 700__ $$aPearce, David
000047697 8564_ $$s192668$$uhttp://ageconsearch.umn.edu/record/47697/files/IAS19.pdf
000047697 887__ $$ahttp://purl.umn.edu/47697
000047697 909CO $$ooai:ageconsearch.umn.edu:47697$$pGLOBAL_SET
000047697 912__ $$nSubmitted by Emily Flowers (flowers@aciar.gov.au) on 2009-02-20T02:20:17Z
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  Previous issue date: 2002
000047697 982__ $$gAustralian Centre for International Agricultural Research>Impact Assessment Series (IAS)
000047697 980__ $$a434