Agriculture is the product of a complex mixture of behavioural, biophysical and market drivers. Understanding how these factors interact to produce crops and livestock for food has been the focus of economic investigation for many years. The advent of optimisation algorithms and the exponential growth in computing technology has allowed significant growth in mathematical modelling of the dynamics of agricultural systems. The complexity of approaches has grown in parallel with the availability of data at increasingly finer resolutions. Farm-level models have been widely used in agricultural economic studies to understand how farmers and land owners respond to market and policy levers. This book provides an in-depth description of different methodologies and techniques currently used in farm-level modelling. While giving an overview of the theoretical grounding behind the models, an applied approach is also used. Case studies range from the application of modelling to policy reforms and the subsequent impacts on rural communities and food supply. This book also provides descriptions of the use of farm-level models in much wider fields such as aggregation and linking with sectoral models. Its purpose is to show the reader the methods that have been employed to inform decision-makers about how to improve the economic, social and environmental goals required to achieve the aims of multidimensional policy.

As globalization restructures agriculture and rural communities, the impacts of increasingly industrialized farming make interdisciplinary analyses of the linkages among the social, environmental, and economic aspects of farming ever more vital. This collection analyzes the reasons for the public’s scrutiny of intensive agriculture and the prospects for sustainable farming now that concerns are mounting about food quality, manure runoff, greenhouse gases, extra-label use of antibiotics, pesticide use, and rural conflict. Intensive Agriculture and Sustainability outlines the advantages of Farming Systems Analysis for understanding the implications of modern, intensive agriculture. This book describes some of the major environmental and social problems connected with intensive farming; outlines a framework for analyzing its sustainability; discusses key linkages among the environmental, economic, and social indicators; outlines modelling trade-offs between profitability and environmental sustainability; and then analyzes various farming systems using case studies. The authors conclude that rural conflict and government regulation are likely to continue unless the public joins with farmers to help fund stewardship practices and stabilize farm incomes. This book will appeal to field practitioners, agricultural and environmental policy analysts, geographers, and those scholars and students who are tired of the pervasive production-oriented disciplinary focus that typifies most agricultural research.

There are many reasons why strategic intelligence is required to support policy decisions. These primarily stem from the nature of today's kno- edge society with two contrasting trends. On the one hand, there is a trend of increasing human intelligence in the economic, social and political s- tems. On the other hand, there is a trend towards dissolving certainties about the problems and solutions of today's society. Clearly, more inf- mation does not necessary imply more certainties on how to act. What is more, the same facts are often interpreted in markedly different ways: the same policy relevant information can – and often does – results in confli- ing framing of a problem by different stakeholders. This is mainly due to competing assumptions, rather then because of inconsistent facts. The- fore, it is not surprising that policy-makers are calling for strategic intel- gence to support their understanding of today's challenges, including the relevant aspects of science and technology, their impact and their possible future developments. Over the last 15 years, Europe has rapidly adopted the practice of dev- oping and using Impact Assessment (IA) tools to support decision-making. Formal procedures and guidance for IA are well established within the European Commission and in most EU Member States. The adoption of IA procedures alone, however, does not guarantee that every policy domain is actually using the full potential of these assessment tools in the preparation of policies and legislation.

This work presents models that characterize the relationships between quantity and quality of irrigation water application, and agricultural production and the environment. A comprehensive modeling approach addressing both the benefits of irrigation and the potential negative effects is introduced. Physical-biological concepts are combined with economic and engineering principles to demonstrate the usefulness of the model for analyzing various water management and policy issues. Decision makers on all levels should find the modeling approach interesting and useful in the management issues from the farm to national levels.

The primary goal of the study is to investigate the potential to expand oilseeds, specifically soybeans,as an alternative commercialcrop to tobacco among Malawian farmers. A principal motivation for undertaking the study at the microeconomic level is to determine, in a theoretically consistent fashion, the type of policy and economic environment under which farmers begin to shift more of their scarce resources to oilseed production.The study aims to provide recommendations to a growing demand among policy makers and development partners for a greater diversification of exports and crop production systems of the majority smallholder farmers in Malawi. Using representative farm models, the study examinesthe potential for expanding production of soybeans among typical smallholder farming systems in Malawi. The results will help guide future policies and investments targeted at promoting greater crop diversification and incomes, in order to reduce poverty and malnutrition in Malawi. Given the amount of labor and land resources allocated to maize production for food security purposes, we also consider the policy challenges that emerge for crop diversification as a result

Microeconomic modeling has been an important tool for agricultural economists for several decades and promises to be important for ad-dressing the research problems of the 1980s as well. This volume explores the possibilities for using micromodeling to analyze how individual farm businesses react to and are affected by farm policies. Although this purpose represents only one potential use of micro-modeling, effective modeling for policy analysis necessitates a broad look from several historical, analytical, and institutional perspectives. The Micromodeling Conference held November 18-20, 1981, at Airlie House, Virginia, under the auspices of the U.S. Department of Agri-culture's Economic Research Service and the Farm Foundation reflected these concerns.