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Risk and uncertainty are inescapable factors in agriculture which require careful management. Farmers face production risks from the weather, crop and livestock performance, and pests and diseases, as well as institutional, personal and business risks. This revised third edition of the popular textbook includes updated chapters on theory and methods and contains a new chapter discussing the state-contingent approach to the analysis of production and the use of copulas to better model stochastic dependency. Aiming to introduce agricultural decision making, probability and risk preference, this book is an indispensable guide for students and researchers of agriculture and agribusiness management.
Agricultural production. The demand for agricultural products. The farm income problem and its causes. Agricultural marketing. Government intervention in agriculture. Agricultural policy in the United Kingdom. Agricultural policy in the european economic community. Trade.
Systems Analysis and Modeling in Food and Agriculture is a component of Encyclopedia of Food and Agricultural Sciences, Engineering and Technology Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. Systems analysis and modeling is being used increasingly in understanding and solving problems in food and agriculture. The purpose of systems analysis is to support decisions by emphasizing the interactions of processes and components within a system. Frequently investigated systems level questions in agriculture and food are relevant to the 6 E's: Environment, Energy, Ecology, Economics, Education, and Efficiency. The theme on Systems Analysis and Modeling in Food and Agriculture with contributions from distinguished experts in the field provides information on key topics related to food and agricultural system. The coverage include an overview of food system; system level aspects related to energy, environment, and social/policy issues; knowledge bases and decision support; computer models for crops, food processing, water resources, and agricultural meteorology; collection and analysis methods for data from field experiments; use of models and information systems. This volume is aimed at the following a wide spectrum of audiences from the merely curious to those seeking in-depth knowledge: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.
Friendly and readable, Agricultural Marketing and Price Analysis presents a comprehensive approach to agricultural price analysis, agricultural market structures, and agricultural marketing strategies. The authors engage students with very little exposure to economics and with only a basic grasp of algebra. The text utilizes a fresh approach and supplies thorough coverage of core topics, as well as complex topics such as general equilibrium models, game theory, and econometrics. It also provides an introduction to data analysis and incorporates many examples. Supplemental materials are available for additional practice and further exploration. Unique to the Second Edition is the inclusion of a chapter on consumer behavior and food preferences, as well as relevant areas of research. The authors introduce readers to the agricultural supply chain, including forecasting and inventory management. Succinct and approachable, this text sets the stage for an enjoyable and effective learning experience.
Two years after the onset of the COVID-19 pandemic, the health, economic, and social disruptions caused by this global crisis continue to evolve. The impacts of the pandemic are likely to endure for years to come, with poor, marginalized, and vulnerable groups the most affected. In COVID-19 & Global Food Security: Two Years Later, the editors bring together contributions from new IFPRI research, blogs, and the CGIAR COVID-19 Hub to examine the pandemic’s effects on poverty, food security, nutrition, and health around the world. This volume presents key lessons learned on food security and food system resilience in 2020 and 2021 and assesses the effectiveness of policy responses to the crisis. Looking forward, the authors consider how the pandemic experience can inform both recovery and longer-term efforts to build more resilient food systems.
This book compiles examples of the most widely used tools in agricultural economics that have been developed and used to analyze the impact of global change in agricultural activity. The research papers on this topic are plenty but lack the methodology. The content of this book can be used by research students exploring additional methods in agricultural economics.
This book presents the Multiple Criteria Decision Making (MCDM) paradigm for modelling agricultural decision-making in three parts. The first part, comprising two chapters, is philosophical in nature and deals with the concepts that define the underlying structure of the MCDM paradigm. The second part is the largest part consisting of five chapters, each of which presents the logic of a specific MCDM technique, and demonstrates how it can be used to model a particular decision problem. In the final part, some selected applications of the MCDM techniques to agricultural problems are presented and thus reinforce the development of an understanding of the MCDM paradigm. The book has been designed for use at different levels: as a textbook for final year undergraduate and postgraduate courses in modelling for decision-making; as a manual for researchers and practising modellers; and, as general reference on the application of MCDM techniques. Readers with basic appreciation of algebra and linear programming can easily follow the contents of this book.
Here in one easy-to-understand volume are the statistical procedures and techniques the agricultural researcher needs to know in order to design, implement, analyze, and interpret the results of most experiments with crops. Designed specifically for the non-statistician, this valuable guide focuses on the practical problems of the field researcher. Throughout, it emphasizes the use of statistics as a tool of research—one that will help pinpoint research problems and select remedial measures. Whenever possible, mathematical formulations and statistical jargon are avoided. Originally published by the International Rice Research Institute, this widely respected guide has been totally updated and much expanded in this Second Edition. It now features new chapters on the analysis of multi-observation data and experiments conducted over time and space. Also included is a chapter on experiments in farmers' fields, a subject of major concern in developing countries where agricultural research is commonly conducted outside experiment stations. Statistical Procedures for Agricultural Research, Second Edition will prove equally useful to students and professional researchers in all agricultural and biological disciplines. A wealth of examples of actual experiments help readers to choose the statistical method best suited for their needs, and enable even the most complicated procedures to be easily understood and directly applied. An International Rice Research Institute Book
Analysis of Chemical Residues in Agriculture presents a focused, yet comprehensive guide on how to identify, evaluate and analyze the wide range of chemicals that impact our food production system. The book presents a variety of analytical technologies and methods in order to help professionals, researchers, and graduate and undergraduate students understand chemical residues in agriculture and apply them to applications for the detection and quantification of chemical residues – both organic and inorganic – in several agricultural matrices, including crops, fruits, meat, food, feed, soil and water. Agriculture remains one of the most strategic sectors for the global economy and well-being. However, it is seen as a source of environmental and health concerns mainly due to the high amount of pesticides and fertilizers used in production systems around the world; moreover, a thorough understanding of the topic is necessary when we consider livestock production systems also apply large amounts of veterinary drugs to treat illness and promote increases in productivity. Identifies the main scientific and technological approaches of analytical chemistry dedicated to agricultural and related matrices to solve real problems and for R&D purposes Provides a description of the analytical technologies and methodologies used to reduce the negative impact of several agrochemicals on the environment and health Explores cutting-edge analytical technologies to detect residues in agricultural and related matrices