This study examines the effectiveness of mobile as a novel approach for providing targeted and equitable agri-advisory services to farmers at scale. A cross-sectional survey of farmers registered on CABI's Direct2Farm (D2F) user database was undertaken using a combination of telephone interviews, household survey and focus group discussions covering six states in India. Was used mixed method approach that utilized both quantitative and qualitative data collection methods.
Present research set out the public and private agricultural extension services with the term of human resources practices. Five districts, one from each ecological zone, were taken purposively: namely Kech, Lasbela, Kalat, Killa Saifullah and Sibi. A sample of (250) farmers and (100) public and private Extension Field Staff (EFS) was taken as sample size by using the multi-stage random sampling technique. Null hypothesis was also tested in order to know the variances in the perceptions of the respondents.
Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training.
This paper presents a case study of a machinery manufacturer in Bangladesh producing 2WT. The study aims were to identify ways to increase machinery manufacturers’ capacity while improving manufacturing operations and workplace safety through equipment selection, workshop layout, and usability. As a locally-owned, small-scale agricultural machinery manufacturer in Bangladesh, Janata Engineering (JE) is representative of many small-scale and emerging machinery manufacturing enterprises in South Asia
El papel de la migración en la reestructuración de los sistemas de innovación y tecnologías avanzadas en países destino u origen ha dado lugar a diferentes debates, porque siempre hay dos lados de la moneda; en este caso, norte y sur.
Poverty in Pakistan is overwhelmingly rural. Some two-thirds of Pakistan's population, and over 60 percent of the country's poor, live in rural areas. In 2005, average per capita expenditures in rural areas were 31 percent lower than in urban areas. This inequality between urban and rural areas is re-enforced by inequality within and between rural areas.
This paper provides a review of the agricultural extension system in Jordan, with a focus on strengths and constraints, as well as options for how to improve efficiency in service delivery and efficacy in outcomes. While public extension in Jordan has gone through many reforms and phases over the past three decades, contemporary concerns related to regional conflict and blockages in access to traditional trade routes require a repositioning of extension and advisory services within the Kingdom.
Until recently, little attention has been paid to local innovation capacity as well as management practices and institutions developed by communities and other local actors based on their traditional knowledge. This paper doesn't focus on the results of scientific research into innovation systems, but rather on how local communities, in a network of supportive partnerships, draw knowledge for others, combine it with their own knowledge and then innovate in their local practices.
This article highlights the experiences and lessons generated by the project collaborators in enhancing the adaptive capacities of selected upland farming communities in Southeast Asia. The project collaborators employed capability building programs, such as farmers' and technicians' training, local climate change awareness programs, cross-farm visits, demonstration plots showcasing agroforestry technologies as climate change adaptation (CCA) strategies, and linking science with policies
The study first identified fully efficient farmers and then estimated technical efficiency of inefficient farmers, identifying their determinants by applying a Zero Inefficiency Stochastic Frontier Model (ZISFM) on a sample of 300 rice farmers from central-northern Thailand. Next, the study developed scenarios of potential production increase and resource conservation if technical inefficiency was eliminated. Results revealed that 13% of the sampled farmers were fully efficient, thereby justifying the use of our approach.