31pgs, This article aims at investigating the impact of financial supports from agricultural policy on farm-size dynamics. Since not all farms may behave alike, a non-stationary mixed-Markov chain modelling (M-MCM) approach is applied to capture unobserved heterogeneity in the movements of farms across economic size (ES) classes. A multinomial logit specification is used for transition probabilities and the parameters are estimated by the maximum likelihood method and the Expectation-Maximisation (EM) algorithm. An empirical application to an unbalanced panel from 2000 to 2018 shows that French farming consists of ‘almost stayers’, with a high probability of remaining in the same ES class over time, and ‘likely movers’, which present a higher probability of a change in size. The results also show that the impact of subsidies and other economic factors depends greatly on the type that a farm belongs to. These findings confirm that individual characteristics of farmers may be relevant for policy efficiency and more attention should thus be paid to unobserved farm heterogeneity in both policy design and the assessment of their impacts on farm-size dynamics.
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.