Argentine agriculture has undergone significant transformations over the past three decades. After a long period of stagnant production and productivity, starting in the early 1970s, a number of independent but interconnected events fostered a new technological cycle that induced rapid growth in cereals and oilseeds production. Zero tillage and the introduction of genetically modified soybean varieties were key elements of this change. Argentina reached a leading position across agricultural commodity markets.
This methodological guide was initially developed and used in Latin America and the Caribbean-LAC (Honduras, Nicaragua, Colombia, Peru, Venezuela, Dominican Republic), and was later improved during adaptation and use in eastern African (Uganda, Tanzania, Kenya, Ethiopia) through a South-South exchange of expertise and experiences. The aim of the methodological guide is to constitute an initial step in the empowerment of local communities to develop a local soil quality monitoring and decision-making system for better management of soil resources.
The aim of this report is to provide a detailed review of documented social learning processes for climate changeand natural resource managementas described in peer-reviewed literature. Particular focus is on identifying (1) lessons and principles, (2) tools and approaches, (3) evaluation of social learning, as well as (4) concrete examples of impacts that social learning has contributed to.
In this chapter the authors compute measures of total factor productivity (TFP) growth for developing countries and then contrast TFP growth with technological capital indexes. In developing these indexes, the authors incorporate schooling capital to yield two new indexes: Invention-Innovation Capital and Technology Mastery. They find that TFP performance is strongly related to technological capital and that technological capital is required for TFP and cost reduction growth.
This book examines how agricultural innovation arises in four African countries – Ghana, Kenya, Tanzania, and Uganda – through the lens of agribusiness, public policies, and specific value chains for food staples, high value products, and livestock. Determinants of innovation are not viewed individually but within the context of a complex agricultural innovation system involving many actors and interactions.
This paper discusses a range of approaches and benchmarks that can guide future design of value chain impact evaluations. Twenty studies were reviewed to understand the status and direction of value chain impact evaluations. A majority of the studies focus on evaluating the impact of only a few interventions, at several levels within the value chains. Few impact evaluations are based on well-constructed, well-conceived comparison groups. Most of them rely on use of propensity score matching to construct counterfactual groups and estimate treatment effects.
This note offers a conceptual framework for dealing with 1) institutional and capacity assessment; and 2) capacity development issues, mainly in the public sector areas. This framework will be particularly useful in the in the preparation of support to sector programmes and budget support exercises.
Relying entirely on survey information and personal exchanges with over 70 scientists from within the CGIAR network, this working paper attempts to achieve a better understanding of the scope of social learning related efforts undertaken in CGIAR and main issues of relevance to more current efforts, such as that planned by the CGIAR program on Climate Change Agriculture and Food Security (CCAFS). A wide range of methods was identified, where groups of people learn in order to jointly arrive at solutions to pressing food security problems.
The purpose of this paper is to re-examine the role that benchmarking can play in rural and agricultural innovations. Although generally known as 'traditional sector', rural activities are far from static but rather driven by old and new challenges pleading for innovative responses. Despite the broad range of insights from the burgeoning literature on innovation systems during the last decade, most benchmarking thinking and practice still remains highly science-based and centred in promoting public R&D, especially in developing countries.
The turn of agrarian sciences and agricultural extension from reductionist and transfer of technology, respectively, towards systemic approaches has transformed agricultural/rural development thinking in the last decades. Nevertheless, the emergence of Agricultural Innovation Systems (AIS) has to confront a number of gaps among which the expert – lay knowledge gap is of major importance. This paper aims at exploring such a gap as well as obstacles to participatory development from a critical realist point of view.