Extension agent is one of the important factors in the agricultural process to deliver technology information and agricultural programs from government to farmers. The good performance of agricultural extension agents will have an impact on improving the performance of farmers to increase agricultural production.In Langkat Regency, the extension agent performance was not still optimal. Factors affecting the performance of the extension agent consist of internal and external factors.
This paper explores the potential of Actor Network Theory (ANT) in understanding how the process of interaction and translation between human and non-human actors contribute to the development, adoption and diffusion of science-based innovations linked to the transition to organic farming. The study relies on two case studies, the French Camargue case covering a range of technical and social innovations, and the case from Bulgaria focusing on the development of a technical and product innovation, i.e. a veterinary product for organic beekeeping.
This paper examines innovations for bridging gender gaps in agricultural value chains in Africa. It focuses on innovative platforms for addressing gender gaps, considering women contribute up to 40 percent of labor in agricultural production. Women remain at the bottom of value chains and face gender-specific constraints attributable to gender and social norms, discriminatory beliefs and practices, gender-blind designs and delivery of technologies and innovations which impede women s participation in value chains.
The objective of this paper is to show how Value Chain Analysis for Development (VCA4D) applied sustainable development concept for value chain analysis to establish a manageable set of criteria allowing to provide quantitative information, which is desperately lacking in many situations in developing economies, usable by decision makers and in line with policymakers concerns and strategies (the “international development agenda”).
This paper aims at analysing the competitive performance of a very tradeable global commodity and the main export crop of Cameroon from 1961 to 2013 through the application of a step-wise analytical framework accommodating aspects of agri-value chain analysis. This conventional analysis was expanded to include value chain comparisons between various valueadding processes in the Cameroonian cocoa value chain as well as consensus vs.
There is a lack of quantitative information about farmers preferences of those activities, which are crucial to refine capacity development activities in the future. This study employs a discrete choice experiment analysing the willingness to pay to determine the preferences of small-scale farmers for agricultural training with respect to the training method, trainer, duration, location and additional offers
Recent studies in the literature examining impact of government seed price intervention on adoption of Bt cotton get different results depending on the specifics of the situation analyzed. According to one study, reduction in seed prices enables farmers to buy seeds at lower prices and this can result in surge of area sown under Bt cotton. The other view holds that seed price interventions have little impact on the adoption rates rather these interventions may adversely affect firms’ incentives to innovate. Which of the two views characterize adoption of Bt cotton in India?
As part of the EU funded AgriSpin project (www.agrispin.eu), which aimed at “creating space for innovations” in agriculture across Europe, this contribution addresses the above mentioned knowledge gaps by a. elaborating a generic typology appropriate to capture the variety of ISS, b. structuring selected innovations along the degree of technological change and coordination levels, and c.
The aim of the paper is to evaluate the impact of value-webs as an innovation in agricultural production on welfare of cassava smallholders in Nigeria. The estimation procedure involved the alternative process of multivalued treatment models when treatment units have multiple values. The study thus extends previous impact studies which focused on estimating causal effects from binary treatment units. The treatment units were determined from the extent of utilization of cassava which informed the classification of households into value-web groups.
This paper is aimed at raising the discussion on frameworks and practices to analyse and support of innovation processes of operational groups in rural development policy. The analysis highlights an increasing interest of the current evaluation and research practices on interactive innovation processes, collaborative learning and capacity development both at individual, collective and systems levels. Particularly, transformative-oriented frameworks have been developed in view of supporting capacity development in innovation systems