This paper examined cowpea value chain mapping and marketing efficiency among cowpea farmers in Ga-Molepo of Capricorn district and Bela-Bela of Waterberg district. Primary data was collected through face to face interviews from 80 smallholder cowpea farmers using structured questionnaire. Value chain map, descriptive statistics and binary logistic regression model were used to analyse the data
The objectives of this manuscript are threefold; to provide a financial, and thus formal, definition of value added; measure value addition by firms across the four nodes/stages of the value chain; and third to test hypotheses as to the drivers of value creation that differ across the four nodes.First was defined value creation/
The study was conducted in Thakurgaon sadar Upazila to determine farmers’ perception of the extent and factors of ICTs effectiveness in transferring farming information. A total of 250 people who were already been taken services from different ICT center was selected as sample respondents following a random sampling technique. Primary data were collected using a predesigned interview schedule.
Este artículo no publicado buscó construir indicadores sencillos para agencias de extensión rural, describir la capacidad de movimiento por agente en un medio específico y relacionar variables referidas a consumo de combustible, jornadas de capacitación y capacitandos por año por agente. Se analizó una base de datos de consumos de la Agencia de Extensión Rural Caucete, se clasificó la información por período (trimestre de gasto), tipo de gasto y agente generador de gasto. Se utilizó el programa Excel y se calcularon estadísticos descriptivos de posición y dispersión.
This booklet grew out of a study on what makes for responsible scaling in the context of agrifood systems, thinking along the same lines as ideas that gave rise to the concept of responsible research and innovation. In our initial exploration, we brought together a number of angles on the topic area (Wigboldus and Leeuwis, 2013; Wigboldus et al. 2016).
The use of technology in agriculture plays an important role in the production chain cycle, as well as in the improvement of processes and productivity. To develop a model for measuring the technological capacity of family agriculture systems, it is necessary to assess the gaps related to indicators and the technological potentialities of these farmer groups, which are often not considered when they require financial support and do not get enough. Thus, the aim of this study is to identify the indicators used to evaluate the technological capacity of farm systems and agriculture.
The Agriculture Technology Program for Turkmenistan (AgTech) takes a comprehensive approach to agricultural development in Turkmenistan by implementing high-impact activities in the livestock and greenhouse horticulture sectors to achieve the two objectives: improve genetics, education and organizations for private livestock producers; introduce successful agribusiness practices.
CBCMP II is aimed at strengthening the human and institutional capacity of Afghanistan’s Ministry of Agriculture, Irrigation and Livestock (MAIL). It also includes strengthening the linkages between MAIL, Provincial Directorates of Agriculture, Irrigation and Livestock and District Agriculture Offices.The primary objective is focused on improving the ministry’s institutional capacity by providing formal trainings and on the job training (coaching and mentoring) to civil servants in the target locations.
The main purpose of this paper is to examine the relationship between trainers’ qualification and learning success and satisfaction of small-scale farmers during training activities in Bihar, India. Moderated mediation analysis is utilized to measure the direct and indirect effects of trainers’ qualification on learning success and satisfaction. Therefore, the psychological constructs of attitude and perceived control from the Theory of Planned Behaviour (TPB) operate as mediators, subjective norms act as moderator, and gender and age serve as covariates
Integrated Pest Management (IPM) is considered as an ecological conservation technology for crop pests' management; however, the technology adoption is intensely affected by surrounding socio-psychological environment, which is poorly studied, particularly in developing nations. The present study therefore aimed at addressing this gap through application of an extended form of Technology Acceptance Model (TAM) in order to examine the determinants of Iranian farmers' ecological conservation behavior regarding the use of IPM practices.