Overview

This book has the purpose of providing the ""state of the arts"" concerning bio-economic modelling dealing with agricultural systems. In most cases, the contributions use a methodology combining the use of biophysical and economic models, in all cases, an engineering production function approach is totally or partially applied. This practice is being developed in the last years as a response to concrete policy matters: agricultural policies are increasingly combined with environmental and natural resources policies, and this reality involves the need of an integrated assessment, that current economic models are not able to provide.

Full Product Details

Author:   Guillermo Flichman
Publisher:   Springer
Imprint:   Springer
Edition:   2011 ed.
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   0.361kg
ISBN:  

9789401780940

ISBN 10:   9401780943
Pages:   220
Publication Date:   21 November 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Acknowledgments.- Preface.- Part I.- Ch. 1. Modelling the relationship between agriculture and the environment using bio-economic models: some conceptual issues.- Ch. 2. Bio physical models as detailed engineering production functions.- Ch. 3. Dynamic optimisation problems: Different resolution methods regarding agriculture and natural resource economics.- Ch. 4. Biophysical models for cropping system simulation.- Part II.- Ch. 5. Incorporating yield information from a biogeochemical model into an agricultural production model to infer adoption of a new bioenergy crop.- Ch. 6. Agri-environmental nitrogen indicators for EU27.- Ch. 7. Modelling Nitrogen balance for a regional scale livestock-pasture system as a discussion support tool.- Ch. 8. Using a Bio-economic Model to Assess the Cost-effectiveness of Measures against Nitrogen Pollution.- Ch. 9. On-farm weather risk management in suckler cow farms: A recursive discrete stochastic programming approach.- Ch. 10. Integrated bio-economic farm modeling for biodiversity assessment at landscape level.- Conclusions.

Reviews

From the reviews: This book is a collection of articles by European and American researchers on the use of bio-economic models applied to agricultural systems. The objective is ambitious: providing the state of the art regarding bio-economic models. It will be indispensable for researchers in the field of mathematical programming applied to the agricultural sector. (Filippo Arfini, European Review of Agricultural Economics, Vol. 39 (5), December, 2012)

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