El objetivo de este trabajo fue identificar a los actores involucrados en sistema de innovación de los productores de maíz de la Región Centro de México, destacando el papel de los actores de soporte institucional en su adopción de innovaciones. Para ello, se entrevistaron 490 productores de maíz atendidos dentro del marco del programa MasAgro 2012, en los estados de Guerrero, Hidalgo, Puebla, Morelos, Estado de México y Tlaxcala. Se midió el grado de adopción de las innovaciones, y mediante la metodología de análisis de redes sociales se analizó la vinculación entre los actores.
The aim of this study was to identify the actors involved in the innovation system producers of corn Mexico Center Region, highlighting the role of the actors of institutional support in adoption of innovations. To do this, 490 corn producers served within the framework of MasAgro 2012 program, in the states of Guerrero, Hidalgo, Puebla, Morelos, State of Mexico and Tlaxcala were interviewed. The degree of adoption of innovations was measured, and using the methodology of social network analysis linking between actors analyzed.
The advancement of agriculture sector in one region cannot be separated from the role of agricultural extension in the region. To cover the deficiency of agricultural extension agents, self-supporting extension agents are recruited from farmers or private parties. This study aims to analyze the role of self-supporting instructors in improving farmer institutions and analyze factors related to the role of self-supporting extension agents in improving farmer institutions.
El objetivo de esta investigación fue identificar la oferta y demanda tecnológica para plantear alternativas en la innovación de la cadena agroalimentaria de maíz en el estado de Hidalgo, México. Se realizaron las siguientes etapas: 1) caracterización de la cadena; 2) identificación de los factores críticos; 3) distinción de demandas tecnológicas de conocimiento y política; 4) reconocimiento de la oferta tecnológica y 5) cuantificación de proyectos de investigación y política pública.
Este estudio analizó la evolución de una red de innovación entre productores de hule natural durante tres periodos de observación (dos olas o tres años), y evaluó cómo los productores reaccionan a diferentes innovaciones en un momento dado. Las prácticas de innovación fueron agrupadas en tres actividades: control de plagas y enfermedades, establecimiento y manejo de plantaciones, y manejo de cosecha y poscosecha.
La extensión rural es un proceso de trabajo y acompañamiento con el productor orientado al desarrollo sostenible de sus capacidades. En México, se han adaptado una serie de modelos de extensión que van desde el norteamericano, implementado a principios de la década de 1980, hasta el modelo de hub o nodo de innovación (plataforma - módulo demostrativo - área de extensión), aplicado desde el 2010 en el marco del Programa MasAgro. El objetivo de este documento es analizar los diversos procesos de extensión en México.
Rural extension is a process of work and accompaniment with the producer aimed to sustainable development of their skills. In Mexico, a series of extension models have been adapted, that goes from the US, implemented in the early 1980’s, to the hub model or innovation node (platform - demonstration module - extension area) applied since 2010 under the MasAgro Program. The aim of this paper is to analyze the various processes of extension in Mexico.
Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training.
This study aims to determine the factors that influence group dynamics, and to find out whether there is a relationship between agricultural extension programs to farmer group dynamics. Data analysis method used is a Likert Scale and analyzed descriptively qualitatively. The results showed that the dynamics of the Sri Makmur Farmers Group were categorized as Less Dynamic. This is because the elements of the farmer group dynamics are not going well. Based on the results of a Likert Scale Research with Spearman Rank Correlation obtained a value of 0.221 at a confidence level of 95% (α 0.05).
This research aimed to figure out the attitude and readiness of agriculture extension officers in using the Information and Communication Technology. Data collection was done through a survey with total sample 60 respondents. Data gained were primary data from questionnaire filling by respondents who were all extension officers in Food Security and Extension Implementation Agency. Data analyses used in this research were reliability and validity analysis, Fishbein’s Attitude Model, and regression analysis which continued with F and t test.