En este artículo se aborda la temática de las experiencias exitosas de las organizaciones sociales en el Corredor Biológico Mesoamericano a partir de una evaluación participativa de la cual surgieron 22 indicadores que permiten medir, ya sea de forma cuantitativa o cualitativa el desarrollo de los proyectos.
El Marco de Evaluación de Sistemas de Manejo de Recursos Naturales Incorporando Indicadores de Sustentabilidad (MESMIS) se utilizó para evaluar comparativamente la sustentabilidad de dos unidades de producción de cacao en el municipio de Comalcalco, Tabasco durante 2006. El método de estudio de casos se empleó mediante la combinación de enfoques cuantitativos y cualitativos de investigación, e incorporando métodos y herramientas participativas.
This article adds to the literature about the impact of social networks on the adoption of modern seed technologies among smallholder farmers in developing countries. The analysis centers on the adoption of hybrid wheat and hybrid pearl millet in India. In the local context, both crops are cultivated mainly on a subsistence basis, and they provide examples of hybrid technologies at very different diffusion stages: while hybrid wheat was commercialized in India only in 2001, hybrid pearl millet was launched in 1965.
This study explores one of the most important questions for alleviating poverty in sub-Saharan Africa, why are advancements in agricultural technology not taking root in this region? Using data from deep interviews of 42 small-scale farmers in Ghana and Cameroon, a conceptual analysis of drivers and factors of agricultural technology adoption in this region is made and represented as causal loop diagrams. Interviews also provide a basis for weighting factors that farmers consider before adopting a new technology.
Analysis of the role of Global Value Chains (GVC) in accessing knowledge and enhancing learning and innovation. Global Value Chains, Innovation Systems, Governance, Foreign Direct Investment, Learning, Upgrading, Productivity. Three main conclusions emerge from the analytical framework and evidence presented in this paper.
This study examines the role of public–private partnerships in international agricultural research. It is intended to provide policymakers, researchers, and business decisionmakers with an understanding of how such partnerships operate, how they promote the exchange of knowledge and technology, and how they contribute to poverty reduction.
The DURAS Project, which ran from 2004 to 2008, established a truly pioneering means of integrating innovation from science with that from communities themselves. At the heart of DURAS has been its innovative competitive grants system. Following an original selection and evaluation process that placed a premium on multi-stakeholder partnerships, 12 projects were funded in Africa and Asia over a period of three years, each involving an array of disciplines and partners.
Poverty in Pakistan is overwhelmingly rural. Some two-thirds of Pakistan's population, and over 60 percent of the country's poor, live in rural areas. In 2005, average per capita expenditures in rural areas were 31 percent lower than in urban areas. This inequality between urban and rural areas is re-enforced by inequality within and between rural areas.
In Cameroon, women as the primary gatherers and traders of non-timber forest products (NTFPs) have limited access to processing technologies, marketing strategies and market information. The objective of this paper is to explore how CIFOR research and capacity building implemented from 2000 have been perceived by Cameroonian traders. An evaluation of the program took place in 2006 with thirty-eight traders out of seventy-two traders trained. Of the traders initially interviewed, 95 percent of them were women.
One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensification of natural hazards. Another problem of changes in the Earth's climate is its impact in the agriculture production. In this scenario, application of statistical models as well as development of new methods become very important to aid in the analyses of climate from ground-based stations and outputs of forecasting models. Additionally, remote sensing images have been used to improve the monitoring of crop yields.