The paper uses a stochastic frontier analysis of production functions to estimate the level of technical efficiency in agriculture for a panel of 29 developing countries in Africa and Asia between 1994 and 2000. In addition, the paper examines how different components of an agricultural innovation system interact to determine the estimated technical inefficiencies.The paper has been presented at the Southern Agricultural Economics Association Annual Meeting, Birmingham, AL, February 4-7, 2012.
The purpose of this paper is to map some elements that can contribute to an IFAD strategy to stimulate and support pro-poor innovations. It is an initial or exploratory document that hopefully will add to an ongoing and necessary debate, and is not intended as a final position paper. The document is organized as follows.
This report explores the role of rural networks in enhancing innovation processes, questioning the features of the agricultural/rural networks could enhance farmers’ ability to co-innovate in cooperation with other actors. The prospect of this investigation is also to provide interesting and significant experiences that constitute examples for the ‘European Innovation Partnership’ by increasing farmers’ capacities to create, test, implement and evaluate innovations in cooperation with other rural actors.
The report synthesises the research conducted under the PRO AKIS project for the topic "Designing, implementing and maintaining agricultural/rural networks to enhance farmers’ ability to innovate in cooperation with other rural actors".
The paper explores the implications of rural livelihood diversity for agricultural innovation policies. It summarises literature on the nature of rural poverty, with particular emphasis on the relative roles of farm and non-farm income. It also reviews the various roles, direct and indirect, that agricultural innovation can play in rural poverty reduction. Finally, it uses an agricultural knowledge and information systems (AKIS) perspective to argue for a differentiated approach to targeting agricultural innovations, based on an analysis of rural assets.
Presented at the ‘Building Livelihoods Resilience in a Changing Climate’ conference, Kuala Lumpur, 3-5th March 2011, this paper focuses on the Local Adaptive Capacity framework (LAC), developed under the Africa Climate Change Alliance Project (ACCRA), as an innovative initiative that attempts to move towards a better understanding of its core features through isolating five characteristics of adaptive capacity. Demonstrated through findings from field research across three African countries (Ethiopia, Mozambique and Uganda), this paper argues that frameworks for understanding and supporting
To respond to threats of climate change, Benin has joined the international community in the development and implementation of climate policies.
The importance of agriculture to Mongolia’s economy, and to its rural economy in particular, makes sustainable agricultural development a national priority. The transition from collective socialism to a market economy in the 1990s nearly caused the collapse of the entire agriculture sector. Since privatization, the number of livestock animals, mainly sheep and goats, has increased dramatically, reaching 45.1 million in 2012. This growth in both livestock and crop production was enabled by several factors. Yet investment in research and extension remains very low.
This working paper has been prepared as background for the inclusive agribusiness work stream of the Global Donor Platform for Rural Development’s (GDPRD). The paper outlines the concept of inclusive business and its application to the agri-food sector, maps the current state of play and explores implications for donors and the GDPRD.
The problem being addressed during this session of the Second Global Conference on Agricultural Research for Development (GCARD2), which was held in Punta del Este, Uruguay, in 2012, is how we can bring together the needed diversity – of stakeholders and approaches – and understand better a number of multidimensional and complex questions such as: How can we inform stakeholders on alternative future scenarios and debate the desirability, consequences, winners and losers of diverse scenarios? How to better combine quantitative analyses with qualitative arguments?