La producción de miel en México es una actividad relevante del subsector pecuario, debido a la generación de empleos e ingresos en el sector agrícola, así como por su aporte de divisas. En el periodo de 2005 a 2015 la producción promedio anual fue de 58 mil toneladas, misma que fluctuó entre las 55 y 62 mil toneladas. Lo anterior ha ubicado a México como el octavo productor a nivel mundial y el tercer país exportador.
Con el fin de mejorar la eficiencia de la adopción de innovaciones tecnológicas en el cultivo de limón ‘Persa’ en San Pedro Tlapacoyan, Veracruz e incrementar el rendimiento de este frutal y la relación beneficio/costo (B/C) de esta actividad económica, se empleó la “metodología de innovación de la bitácora”, la cual se trabajó con 26 productores de esta comunidad durante tres ciclos de producción: 2005/2006, 2006/2007 y 2007/2008.
La literatura señala que la innovación tiene como base el conocimiento, para promover cambios que generen mayores beneficios en las empresas. En este trabajo, se analiza el nivel de adopción de innovaciones y los factores asociados en 94 empresas familiares agropecuarias y agroindustriales mexicanas, participantes en una capacitación enfocada en aspectos técnicos, administrativos, organizacionales y familiares. Se encuestó al 63% de estas empresas y se analizó la información a través de indicadores de innovación, comparación de medias y correlaciones.
Sustainable agricultural intensification requires the use of multiple agricultural technologies in an integrated manner to enhance productivity while conserving the natural resource base. This study analyses the adoption and impacts of sustainable intensification practices (SIPs) using a dataset from Ghana. A multivariate probit (MVP) model was estimated to assess the adoption of multiple SIPs. Moreover, we used a multivalued semi-parametric treatment effect (MVTE) model to estimate the effects of adopting multiple SIPs on maize productivity.
The honey production in Mexico is a relevant activity of the livestock subsector, due to the generation of jobs and income in the agricultural sector, as well as its contribution of foreign exchange. In the period from 2005 to 2015 the average annual production was 58 thousand tons, which fluctuated between 55 and 62 thousand tons. This has placed Mexico as the eighth largest producer in the world and the third exporting country.
The process of adopting innovation, especially with regard to precision farming (PF), is inherently complex and social, and influenced by producers, change agents, social norms and organizational pressure. An empirical analysis was conducted among Italian farmers to measure the drivers and clarify “bottlenecks” in the adoption of agricultural innovation. The purpose of this study was to analyze the socio-structural and complexity factors that affect the probability to adopt innovations and the determinants that drive an individual’s decisions.
Social learning processes can be the basis of a method of agricultural innovation that involves expert and empirical knowledge. In this sense, the objective of this study was to determine the effectiveness and sustainability of an innovation process, understood as social learning, in a group of small farmers in the southern highlands of Peru. Innovative proposals and its permanence three years after the process finished were evaluated. It was observed that innovation processes generated are maintained over time; however, new innovations are not subsequently generated.
Africa Lead II is a program dedicated to supporting and advancing agricultural transformation in Africa as proposed by the African Union Comprehensive Africa Agriculture Development Program. It will also contribute to the Feed the Future goals of reduced hunger and poverty by building the capacity of Champions—defined as men and women leaders in agriculture—to develop, lead, and manage the policies, structures and processes needed for the transformation process.
Africa–Europe Cooperation and Digital Transformation explores the opportunities and challenges for cooperation between Africa and Europe in the digital sphere.
Prior to the COVID-19 pandemic, young entrepreneurs in agrifood systems in sub-Saharan Africa were already facing a number of challenges. The main challenges include limited access to natural resources, finance, technology, knowledge and information, and insufficient participation in policy dialogues and other decision-making processes. The COVID-19 pandemic and its disruptions to agricultural value chains are presenting additional hurdles for these agripreneurs.