Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 409042
Title Development impacts of value chain interventions: how to collect practical evidence and draw valid conclusions in impact evaluation
Author(s) Ton, G.; Vellema, S.; Ruijter de Wildt, M.J.M. de
Source Journal on Chain and Network Science 11 (2011)1. - ISSN 1569-1829 - p. 69 - 84.
Department(s) LEI MARKT & K - Duurzame Handel en Ketenvorming
Development Economics Group
Technology and Agrarian Development
Publication type Refereed Article in a scientific journal
Publication year 2011
Abstract In development policy and practice, support to or interventions in value chains are considered to be instrumental for achieving outcomes such as poverty alleviation. This paper reviews methodological discussions on how to show the effects and workings of value chain support in a context of donors demanding rigorous impact evaluations. The paper starts with a discussion of evaluation methods strongly anchored in ex-post statistical analysis of effect measurements, and argues in favour of a theory-based evaluation protocol, equipped to handle threats to valid conclusions. Value chains are open, multi-layered systems and development outcomes are multi-dimensional and contingent on contextual particularities. Moreover, development interventions in value chains are often time, place and commodity specific and unlikely to be repeated in a similar way, which complicates generalisation and constrains evaluative conclusions. The example of a small-grant fund promoting collective marketing by smallholder organisations illustrates these methodology challenges and shows the value of using a mix of methods for addressing the problems of outcome measuring, impact attribution and generalisations from highly diverse contexts
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