La presente investigación busca demostrar la factibilidad de formar una red de valor específica para maíz con alta quantidad de proteina (QPM) en el municipio de Puebla para el año 2012; con este objetivo se proyectaron potenciales de mercado, oferta primaria, demanda primaria y demanda derivada para el municipio de Puebla en 2012; se realizó una evaluación financiera tradicional, para determinar viabilidad económica
La presente investigación analiza la influencia de las relaciones sociales existentes al interior de un grupo de 22 productores de rambután (Nephelium lappaceum) del Soconusco, Chiapas en 2014. Se analizaron las acciones conjuntas relacionadas con la mejora de la comercialización de su producto. Se empleó la escala de construcción de vínculos relacionales para el trabajo colectivo integrada por los niveles de identificación, aportación, colaboración, cooperación y asociación.
El objetivo del presente artículo fue analizar los flujos de conocimientos de tecnología en la producción de jitomate (Lycopersicon esculentum) en invernadero, estimando parámetros de redes sociales al inicio de las escuelas de campo en 2010 y a su término en 2011. Se trabajó con productores de pequeña escala del medio rural en el estado de Oaxaca que participaron en las escuelas de campo para la transferencia de tecnología. La selección de la muestra fue dirigida tomando productores asistentes y no asistentes a las escuelas de campo
Este trabajo busca describir el proceso que en 2012 se otorgó en México la denominación de origen (DO) para el arroz del estado de Morelos, la cual fue resultado de una vinculación estrecha y de muy largo plazo entre productores, organismos gubernamentales federales y locales, así como de investigadores del Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP)- Campo Experimental Zacatepec.
Social learning in multi-actor innovation networks is increasingly considered an important precondition for addressing sustainability in regional development contexts. Social learning is seen as a means for enabling stakeholders to take advantage of the diversity in perspectives, interests and values for generating more sustainable practices and policies. Although more and more research is done on the meaning and manifestations of social learning, particularly in the context of natural resource management, little is known about the social dynamics in the process of social learning.
This study examines the influence of an extra-curricular educational program on children's knowledge and cultural valuation of wild food plants, which are an important component of their diets. This program aims to reinforce children's traditional knowledge and values around biological resources in Wayanad, India's Western Ghats, encouraging tribal and non-tribal children to learn from each other and from their own communities. Results show that the educational program has enhanced children's ability to identify selected wild food plants.
This methodological guide was initially developed and used in Latin America and the Caribbean-LAC (Honduras, Nicaragua, Colombia, Peru, Venezuela, Dominican Republic), and was later improved during adaptation and use in eastern African (Uganda, Tanzania, Kenya, Ethiopia) through a South-South exchange of expertise and experiences. The aim of the methodological guide is to constitute an initial step in the empowerment of local communities to develop a local soil quality monitoring and decision-making system for better management of soil resources.
In this chapter the authors compute measures of total factor productivity (TFP) growth for developing countries and then contrast TFP growth with technological capital indexes. In developing these indexes, the authors incorporate schooling capital to yield two new indexes: Invention-Innovation Capital and Technology Mastery. They find that TFP performance is strongly related to technological capital and that technological capital is required for TFP and cost reduction growth.
The increasing complexity of technology development and adoption is rapidly changing the effectiveness of scientific and technological policies. Complex technologies are developed and disseminated by networks of agents. The impact of these networks depends on the assets they command, their learning routines, the socio-economic environment in which they operate and their history.
This paper argues that impact assessment research has not made more of a difference because the measurement of the economic impact has poor diagnostic power. In particular it fails to provide research managers with critical institutional lessons concerning ways of improving research and innovation as a process. Paper's contention is that the linear input-output assumptions of economic assessment need to be complemented by an analytical framework that recognizes systems of reflexive, learning interactions and their location in, and relationship with, their institutional context.