This research note explains the results of social experiment designed with three primary objectives. These include (1) to mitigate the digital divide concerning the accessibility of forecasted weather information and crop advisories for women farmers in Bangladesh and (2) to assess the potential impact of a digital climate advisory tool on the agricultural practices of climate-smart agriculture facilitated by digital advisory tools for stakeholders in the value chain, such as microfinance institutions offering crop loans in areas facing higher weather-related risks.
We present a model for research and development (R&D) investment in food innovations based on new plant engineering techniques (NPETs) and traditional hybridization methods. The framework combines uncertain and costly food innovation with consumers' willingness to pay (WTP) for the new food. The framework is applied with elicited WTP of French and US consumers for new improved apples. NPETs may be socially beneficial under full information and when the probability of success under NPETs is relatively high. Otherwise, the traditional hybridization is socially optimal.
Existing studies which have examined the impact of group farming on farm productivity have focused predominantly on former socialist regimes, usually comparing production under various types of collectivised/cooperatized farms with farm enterprises that emerged in the post-reform period, or after decollectivisation. Given this specificity, their experience is at best indicative; it cannot provide substantive lessons on the potential outcomes of group farming in today’s developing countries. This paper seeks to do so.
USAID/CINSERE (Services d’information climatiques pour améliorer la résilience et la productivité au Sénégal) est un projet de 4 ans qui vise à renforcer les capacités nationales pour la production, l’accès et la diffusion efficiente d’informations météorologiques et climatiques (IMC) et à développer des stratégies pour une mise à l’échelle durable de l’utilisation des services d’information météorologiques et climatiques (SIC) sur toute l’étendue du territoire sénégalais.
Este folleto proporciona una visión general del Marco Común de la TAP sobre el Desarrollo de Capacidades (DC) para los Sistemas de Innovación Agrícola (SIA).
This handbook describes the framework and methods for Capacity Assessment (CA) in a practical manner so that JICA’s project management (formulation, implementation, evaluations) is carried out by incorporating a perspective of CD support. This handbook presents perspectives which are necessary when examining what sort of cooperation projects should be formulated for important development issues in the future. Such projects include technical cooperation, and more comprehensive cooperation programs are also under consideration.
This review is an information resource for development practitioners, development agencies and funders of development activities who have an interest in assessing capacity for agricultural innovation in developing countries, including the developing regions of sub-Saharan Africa. In the context that further investment in the agricultural capacity of developing countries is recognised as a development priority, the review explores what is known about the “tools” (i.e. concepts and methods) which are available to guide assessment of innovation capacity in these countries.
This book contains a collection of papers that discuss the experience of an Agricultural Research for Development (AR4D) capacity building program in Papua New Guinea (PNG). The program was the AusAID-funded Agricultural Research and Development Support Facility (ARDSF), which ran for fi ve years from 2007 to 2012, and which sought to improve the delivery of services by agricultural research organisations to smallholder farmers.
Economic development and the successful transformation ofagriculture have been at the core of impressive change in countriessuch as China, India, Indonesia, Brazil, Mexico, and Argentina. This transformation has relied on substantial and effective investment inagriculture, and, in particular, building capacity in all aspects of agricultural change – from technology development and transfer through infrastructural development and the processing of agricultural commodities into consumer products.
There are divergent views on what capacity development might mean in relation to agricultural biotechnology. The core of this debate is whether this should involve the development of human capital and research infrastructure, or whether it should encompass a wider range of activities which also include developing the capacity to use knowledge productively. This paper uses the innovation systems concept to shed light on this discussion, arguing that it is innovation capacity rather than science and technology capacity that has to be developed.