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.
Smallholder farmers in East Africa need information and knowledge on appropriate climate-smart agriculture (CSA) practices, technologies, and institutional innovations in order to effectively adapt to changing climatic conditions and cope with climate variability. This paper assesses farmer adoption of climate-smart agricultural practices and innovation after being exposed to Farms of the Future Approach (FotF). First; we explore and assess the various CSA technologies and practices; including institutional innovations farmers are adopting.
In the light of ongoing debates about the suitability of proprietary seed technologies for smallholder farmers, this paper analyzes the adoption and impact of hybrid wheat in India. Based on survey data, we show that farmers can benefit significantly from the proprietary technology. Neither farm size nor the subsistence level influences the adoption decision, but access to information and credit does. Moreover, willingness-to-pay analysis reveals that adoption levels would be higher if seed prices were reduced.
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.
Relying on cross-sectional data from 300 smallholder rice farmers, the study examined the effects of agricultural extension on improved rice variety adoption and farm income in northern Ghana. A recursive bivariate probit (RBP) model was used to assess the effect of agricultural extension on adoption while regression with endogenous treatment effect model (RETEM) was adopted to evaluate the effect of agricultural extension on farm income. The results indicate a statistically significant effect of agricultural extension on both adoption and farm income.
Precision agriculture (PA) is growing considerably in Brazil. However, there is a lack of information regarding to PA adoption and use in the country. This study sought to: (i) investigate the perception of growers and service dealership about PA technologies; (ii) identify constraints to PA adoption; (iii) obtain information that might be useful to motivate producers and agronomists to use PA technologies in the crop production systems.
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.