Agricultural research for development has made important contributions to poverty reduction and food security over the last 40 years. Nevertheless, it is likely that both the speed of global change and its impacts on natural and socio-economic systems are being under-estimated. Coupled with the moral imperative to justify the use of public resources for which there are multiple, competing claims, research for development needs to become more effective and efficient in terms of contributing towards longer-term development goals.
The present essay aims to present a partial view of the evolution of thought on business management and economics of organizations applied to agriculture and identifies perspectives for empirical studies. The paper contains four topics. Following this introduction, the second part revisits the concept of agribusiness systems, the third part presents the institutional/property rights perspective and contractual approach, and part four suggests research issues in the field of economics of organizations
The farming systems followed by farmers in Asia, Africa and Latin America have the potential to deal with the problems thrown up by climate change. This article examines the changing drought ecosystems of poor farmers and also points out that the present paradigm of agricultural development and what it means for small farmers needs to be critically evaluated. Droughts in 2016 affected a quarter of the Indian population (2,55,923 villages in 254 districts in 10 states). Debates over drought preparedness and development priorities have been widespread.
This paper describes the strategic approaches to the development of a climate-smart village (CSV) model in the groundnut basin of Senegal. A CSV model is a participatory integrated approach using climate information, improved context-based technologies/practices aiming at reaching improved productivity (food and nutrition security), climate resilient people and ecosystem and climate mitigation.
The efforts to adapt to climate change in developing countries are in their infancy, and hopefully CSA will be a major contributor to these efforts. But CSA itself is evolving, and there is a growing need to refine and adapt it to the changing realities. This section of the book focus on the implications of the empirical findings for devising effective strategies and policies to support resilience and the implications for agriculture and climate change policy at national, regional and international levels.
People, places, and production contributing the least to climate change will suffer the most. This calls for adaptation as a key climate change response. But adaptation is surrounded by problems. Finance is uncertain and fragmented, mainstreaming into development is complicated, and technical solutions often overshadow existing social relations and institutions.
The implementation and ongoing adoption of agricultural sustainability tools are challenging and not well addressed in the literature on sustainability assessment. Co-production of sustainability assessment and reporting systems between researchers and stakeholders has been promoted to increase the successful adoption of sustainability tools. Scientific attention has focused primarily on the development of sustainability assessment tools and has given less attention to the factors that encourage or discourage adoption and implementation.
The rural production in Brazil has experienced a significant competitive impact with the stabilization of the economy promoted by the Real Plan in 1994. Indeed, the Brazilian agriculture has achieved efficiency gains in terms of technology, economies of scale and general modernization of the activity in the field. In this context, the professional management of rural production evolved. However, the governance process does not evolve in the same dimension, and the “governance risk” is still poorly addressed in the rural environment, which often limits the potential of operations.
Research on next generation agricultural systems models shows that the most important current limitation is data, both for on-farm decision support and for research investment and policy decision making. One of the greatest data challenges is to obtain reliable data on farm management decision making, both for current conditions and under scenarios of changed bio-physical and socio-economic conditions.
CCAFS-MOT is a tool to support farmers, policy advisors and agricultural extension services on the choice of management practices that reduce greenhouse gas emissions (GHG) without risking food security. It is an Excel-based tool which brings together several empirical models to estimate GHG emissions in rice, cropland and livestock systems, and provides information about the most effective mitigation options. Greenhouse gas emissions are estimated in terms of carbon dioxide equivalent per hectare (kg CO2eq ha− 1) and carbon dioxide equivalent per unit of product (kg CO2eq kg− 1).