Download Free The Eu Wide Individual Farm Model For Common Agricultural Policy Analysis Ifm Cap V2 Book in PDF and EPUB Free Download. You can read online The Eu Wide Individual Farm Model For Common Agricultural Policy Analysis Ifm Cap V2 and write the review.

This manual presents the second version of the EU-wide individual farm level model IFM-CAP which has been developed to assess the economics and environmental impacts of the CAP and related policies, such as the Strategies embedded in the European Green Deal. The rationale for such a farm-level model is based on the increasing demand for a micro simulation tool capable to model farm-specific policies and to capture farm heterogeneity across the EU in terms of policy representation and impacts. Based on Positive Mathematical Programming, IFM-CAP seeks to improve the quality of policy assessment upon existing aggregate and aggregated farm-group models and to provide assessment of distributional effects over the EU farm population. To guarantee the highest representativeness of the EU agricultural sector, the model is applied to every EU-FADN (Farm Accountancy Data Network) individual farm (83,292 farms). The present manual provides a detailed description the IFM-CAP model (IFM-CAP V.2) in terms of design, mathematical structure, data preparation, modelling livestock activities, allocation of input costs, modelling of the current CAP setting (2013-2020) and calibration process. The theoretical background, the technical specification and the outputs that can be generated from this model are also briefly presented and discussed.
Michael Cardwell's study assesses whether the EU can create a new leglislative framework that is feasible and which will placate the WTO and its drive towards world domination.
Understanding the cap; Mechanisms and analysis of the cap; The cap and the european union; The cap and the world; The cap and the future.
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.
Here is the first systematic handbook treatment of quantitative modeling natural resource problems, their allocated efficient use, and societal and economic impact. Andrés Weintraub is the very top person in Natural Resource research. He has selected co-editors who are at the top of the sub-fields in natural resources: agriculture, fisheries, forestry, and mining. The book covers these areas with contributions from researchers on, among others, modeling natural research problems, quantifying data, and developing algorithms.
This book, which is the first to be published in the emerging field of farm-level microsimulation, highlights the different methodological components of microsimulation modelling: hypothetical, static, dynamic, behavioural, spatial and macro–micro. The author applies various microsimulation-based methodological tools to farms in a consistent manner and, supported by a set of Stata codes, undertakes analysis of a wide range of farming systems from OECD countries. To these case studies, O’Donoghue incorporates farming policies such as CAP income support payments, agri-environmental schemes, forestry planting incentives and biomass incentives – in doing so, he illuminates the merits of microsimulation in this environment.
The Common Agricultural Policy SIMulation (CAPSIM) model is one of the European Commission's Joint Research Centre, Institute for Prospective Technological Studies (JRC-IPTS) in-house models used for impact analysis of the Common Agricultural Policy (CAP). It is a calibrated, comparative static, partial equilibrium model which was developed in the early 1980s by the European Centre for Agricultural, Regional and Environmental Policy Research and the University of Bonn on behalf of the Directorate General Eurostat (DG ESTAT) for agricultural policy analysis. In 2006, CAPSIM was transferred from DG ESTAT to JRC-IPTS. The CAPSIM model has a disaggregated coverage of items and individual European Union Member States and Candidate Countries. The present JRC-IPTS Technical Report describes the model structure of CAPSIM in its version from 2005 with several applications. The first part of the report focuses on explaining the model specification, particularly: supply and demand side, processing, labour, different policy regimes as applied in the CAP, trade regimes and welfare calculations. The second part describes the CAPSIM programme code in order to provide a guided tour through the technical aspects of the model for potential users.
This book assesses recent developments in the analysis of agricultural policy and water resource management, and highlights the utility and theoretical rigor of quantitative methods for modeling agricultural production, market dynamics, and natural resource management. In diverse case studies of the intersection between agriculture, environmental quality and natural resource sustainability, the authors analyze economic behavior - both at aggregate as well as at individual agent-level - in order to highlight the practical implications for decision-markers dealing with environmental and agricultural policy. The volume also addresses the challenges of doing robust analysis with limited data, and discusses the appropriate empirical approaches that can be employed. The studies in this book were inspired by the work of Richard E. Howitt, Emeritus Professor of Agricultural Economics at the University of California at Davis, USA, whose career has focused on the application of robust empirical methods to address concrete policy problems.