Arbeitspapier

Evaluating nutrition and health impacts of agricultural innovations

Agricultural innovations are seen as a key avenue to improve nutrition and health in smallholder farm households. But details of these agriculture-nutrition-health linkages are not yet well understood. While there is a broad literature on the adoption of agricultural technologies, most studies primarily focus on impacts in terms of productivity and income. Nutrition and health impacts have rarely been analyzed. In this article, we argue that future impact studies should include nutrition and health dimensions more explicitly. A conceptual framework is developed to clarify possible impact pathways. Different nutrition and health metrics are reviewed in terms of their strengths and weaknesses and criteria of choice for different study purposes. To evaluate impacts of particular innovations, the chosen metrics have to be compared between adopters and non-adopters, using a suitable sampling design. Approaches of how to deal with possible selection bias are discussed. Finally, selected empirical examples in which these metrics and methods were used in practice are reviewed.

Sprache
Englisch

Erschienen in
Series: GlobalFood Discussion Papers ; No. 46

Klassifikation
Wirtschaft
Health and Economic Development
Measurement and Analysis of Poverty
Microeconomic Analyses of Economic Development
Technological Change: Choices and Consequences; Diffusion Processes
Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
Thema
food security
health
nutrition
agriculture
impact assessment
smallholder farmers

Ereignis
Geistige Schöpfung
(wer)
Qaim, Matin
Ereignis
Veröffentlichung
(wer)
Georg-August-Universität Göttingen, Research Training Group (RTG) 1666 - GlobalFood
(wo)
Göttingen
(wann)
2014

Handle
Letzte Aktualisierung
20.09.2024, 08:23 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Qaim, Matin
  • Georg-August-Universität Göttingen, Research Training Group (RTG) 1666 - GlobalFood

Entstanden

  • 2014

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