Camacho-Villa, Tania Carolina (author), Almekinders, Conny (author), Hellin, Jon (author), Martinez-Cruz, Tania Eulalia (author), Rendon-Medel, Roberto (author), and International Maize and Wheat Improvement Center, Mexico, D.F.
Wageningen University, The Netherlands
Universidad Autónoma Chapingo, Mexico
Universidad Autónoma de Chiapas
University of Bonn, Germany
Format:
Online journal article
Publication Date:
2016-10-17
Published:
Mexico: Taylor & Francis
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 108 Document Number: D10955
17 pages, via online journal, Purpose: Little is known about effective ways to operationalize agricultural innovation processes. We use the MasAgro program in Mexico (which aims to increase maize and wheat productivity, profitability and sustainability), and the experiences of middle level ‘hub managers’, to understand how innovation processes occur in heterogeneous and changing contexts. Design/methodology/approach: We use a comparative case study analysis involving research tools such as documentary review, key informant interviews, focus group discussions, and reflection workshops with key actors. Findings: Our research shows how a program, that initially had a relatively narrow technology focus, evolved towards an innovation system approach. The adaptive management of such a process was in response to context-specific challenges and opportunities. In the heterogeneous context of Mexico this results in diverse ways of operationalization at the hub level, leading to different collaborating partners and technology portfolios. Practical implications: MasAgro experiences merit analysis in the light of national public efforts to transform agricultural advisory services and accommodate pluralistic agricultural extension approaches in Latin America. Such efforts need long-term coherent macro level visions, frameworks and support, while the serendipitous nature of the process requires meso-level implementers to respond and adapt to and move the innovation process forward. Originality/value: This paper contributes to the debate on how to operationalize large programs by showing that the innovation support arrangements enacted in the field should allow for diversity and have a degree of flexibility to accommodate heterogeneous demands from farmers in different contexts as well as continuous changes in the politico- institutional environment.
Purpose: The impact of agricultural knowledge transfer (KT) is related to the access to and the quality of services available. Within this context, the allocation of resources in terms of KT offices and the number of advisers are important considerations for understanding KT impact. This quantitative study evaluates the impact of KT resources on farm profitability for clients in Ireland during the recessionary period 2008–2014.
Design/Methodology: Teagasc, the public KT service provider in Ireland, experienced significant office closures (43%) and a reduction in advisers (38%) during the economic crisis, yet client numbers declined only slightly (4.5%). Administrative data are merged with a panel data set on farm-level performance to evaluate the impact through Random Effects estimation.
Findings: The results show that clients gained a 12.3% benefit to their margin per hectare over the period. However, there was a negative effect of 0.2% for each additional client assigned to the adviser which averaged at 9.6%.
Practical Implications: The quantitative findings provide a measure of impact that represents the value for money for the KT service. The key implication is that the client ratio for advisers should be considered when allocating resources and lower ratios would positively impact client margins.
Theoretical Implications: This article outlines the value of quantitative studies to estimate impact in a clear translatable manner which can aid the policy discussion around resource deployment.
Originality/Value: This study evaluates the impact of KT during a recessionary period when resources were constrained, and uses client ratios to examine the spatial effects.
