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.
evelopment projects on interventions to reduce postharvest losses (PHL) are often implemented largely independently of the specific context and without sufficient adaptation to the needs of people who are supposed to use them. An approach is needed for the design and implementation of specific, locally owned interventions in development projects. This approach is based on Participatory Development and includes Living Lab and World Cafés. We applied the approach in a case study on reducing PHL in tomato value chains in Nigeria. The approach consists of nine steps.
This paper proposes the adoption of small-scale friendly postharvest techniques in the form of small-scale postharvest practices (SSPPs). To justify this proposal, the impact of SSPPs adoption on self-reported losses were investigated in Rivers State Nigeria. The factors influencing plantain farmers and traders intention to use SSPPs were also studied. Multistage and snowball sampling techniques were used to obtain data from farmers and traders, respectively
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.
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.
China has put in place a series of policies to support private companies to engage in biotechnology research. This study uses data from a survey of 103 major agribusiness firms in the agricultural chemical and seed industries in China to evaluate the impact of government policies on private R&D investment in biotechnology. The results show that firms with positive profit expectation, public R&D subsidies, R&D collaboration with universities/research institutes or state-owned enterprises are more likely to embark on biotechnology research activities.