Este artículo es una aproximación al tema de la estrategia de política pública para el desarrollo rural en México. Tiene por objetivo establecer contrastes entre la política que se derivaría de la normatividad vigente y la incidencia efectiva de la acción gubernamental sobre las condiciones productivas y sociales del medio rural; así como, entre los instrumentos normativos que rigen la planeación, diseño y ejercicio de la política pública y sus resultados en los últimos años.
Este documento, refleja la experiencia del CIAT en sistematizar experiencias de la iniciativa Alianzas de Aprendizaje (donde confluían distintos actores del mundo de la investigación y el desarollo rural que creían en la idea de que compartir su conocimiento traería un mayor beneficio para ellos mismos y sus beneficiarios)
El objetivo de este documento es revisar de manera crítica el desarrollo, los avances y las dificultades en el proceso de creación de la Alianza de Aprendizaje, así como evaluar su contribución final a la hipótesis inicial de trabajo
This document provides an investment plan for climate-smart agriculture (CSA) in Mali, developed with support of the AAA Initiative and the World Bank, and technical assistanceof the International Center for Tropical Agriculture, the World Agroforestry Centre and the CGIAR Research Program on Agriculture, Climate Change and Food Security (CCAFS). It identifies specific interventions that define on-the-ground action that are consistent with Mali’s NDC and national agricultural strategy, which can be funded by public and private sector partners.
The agriculture systems in Bangladesh face a growing number of climate-related vulnerabilities. Climate has become increasingly variable over the past few decades, with droughts, seasonal and flash flooding, and extreme temperatures occurring more frequently and the sea level rising. Going forward, it will be critical to have an understanding of how best to address the trade-offs and synergies between achieving agricultural and economic goals on one hand and preparing for emerging climate challenges on the other. The use of evidenced-based decision making is a key part of this process.
As a key pillar of the Ugandan economy, the agriculture sector is a critical driver of economic growth and poverty alleviation. Uganda's agricultural sector is dominated by smallholders with low levels of productivity. The agriculture sector is highly exposed to co-variant risks, which include weather, biological, infrastructure (post-harvest loss), price, and market risks. This plethora of risks suppresses appetite for investment in the sector. Despite the sector's contribution to the economy, farmers' access to finance remains a major constraint.
Lesotho's agricultural system faces a growing number of climate-related vulnerabilities with droughts, floods, pests, and extreme temperatures occurring more frequently. In response, the Government of Lesotho is collaborating with the World Bank to integrate climate change into the country’s agriculture policy agenda through the Lesotho Climate-Smart Agriculture Investment Plan (CSAIP).
This document provides an investment plan for climate-smart agriculture (CSA) in Côte d’Ivoire, developped with support of the Adaptation of African Agriculture (AAA) Initiative and the World Bank, and technical assistance of the CGIAR Research Program on Climatre Change Agriculture and Food Security (CCAFS). It identifies specific interventions that define on-the-ground actions that are consistent with Côte d’Ivoire’s NDC and National Agricultural Investment Plan II (2017-2025), which can be funded by public- and private-sector partners.
Small trading activities are a prevalent form of self-employment in developing countries, but their integration into supply value chains is not efficient, especially when it comes to perishable produce. This study tests a novel approach to improve their efficiency by reducing the time and cost of sourcing produce by aggregating purchases through the use of an app and centralized distribution system. Fruit and vegetable vendors in Bogotá currently travel most days to a central market to purchase produce, incurring substantial time and monetary costs.
The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers.