000178072 001__ 178072
000178072 005__ 20250401105516.0
000178072 0247_ $$2doi$$a10.22004/ag.econ.178072
000178072 037__ $$a968-2016-75795
000178072 037__ $$a968-2016-76149
000178072 041__ $$aeng
000178072 245__ $$aEstimating the benefits of plant breeding research: methodological issues and practical challenges
000178072 260__ $$c2003-12
000178072 269__ $$a2003-12
000178072 300__ $$a12
000178072 336__ $$aJournal Article
000178072 520__ $$aImpact assessment studies consistently show that the benefits generated by plant breeding are large, positive and widely
distributed. Numerous case studies have concluded that investment in plant breeding research generates attractive rates of
return compared to alternative investment opportunities, that welfare gains resulting from the adoption of modern varieties
(MVs) reach both favoured and marginal environments, and that benefits are broadly shared by producers and consumers.
But just how reliable are the results of studies that estimate the benefits of plant breeding research? This article reviews
methods used to estimate the benefits of plant breeding research and discusses theoretical and empirical issues that often
receive inadequate attention in applied impact assessment work. Our objective is not to question the validity of the theoretical
frameworks commonly used to estimate the benefits of plant breeding research, but rather to examine problems that can arise
when the widely accepted theoretical frameworks are used for empirical analysis. Most of these problems can be grouped
into three basic categories: ( 1) problems associated with measuring adoption and diffusion of MV s, (2) problems associated
with estimating benefits attributable to adoption ofMVs, and (3) problems associated with assigning credit among the various
plant breeding programmes that participated in developing the MVs.
© 2003 Elsevier B.V. All rights reserved.
000178072 546__ $$aEnglish
000178072 650__ $$aResearch and Development/Tech Change/Emerging Technologies
000178072 650__ $$aResearch Methods/Statistical Methods
000178072 6531_ $$aAgricultural research
000178072 6531_ $$aAgricultural research evaluation
000178072 6531_ $$aPlant breeding research
000178072 6531_ $$aImpact assessment
000178072 6531_ $$aEconomic analysis
000178072 700__ $$aMorris, M.L.
000178072 700__ $$aHeisey, P.W.
000178072 773__ $$q241$$o252$$tAgricultural Economics: The Journal of the International Association of Agricultural Economists$$j29$$k3$$dDecember 2003
000178072 8564_ $$9f5b31eb5-273b-4aab-b671-8543c7c78a71$$s1302756$$uhttps://ageconsearch.umn.edu/record/178072/files/agec2003v029i003a003.pdf
000178072 887__ $$ahttp://purl.umn.edu/178072
000178072 909CO $$ooai:ageconsearch.umn.edu:178072$$pGLOBAL_SET
000178072 912__ $$nSubmitted by Jennifer Nelson (nels7877@umn.edu) on 2014-07-14T17:27:16Z
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  Previous issue date: 2003-12
000178072 913__ $$aLicense granted by Jennifer Nelson (nels7877@umn.edu) on 2014-07-14T17:14:20Z (GMT):

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000178072 980__ $$a968
000178072 982__ $$gAgricultural Economics: The Journal of the International Association of Agricultural Economists>Volume 29, Issue 3, December 2003