Bio-Economic Models applied to Agricultural Systems

Name: Bio-Economic Models applied to Agricultural Systems
Author: Guillermo Flichman

Specificaties

Gebonden, 220 blz. | Engels

Springer Netherlands | 2012e druk, 2011

ISBN13: 9789400719019

Rubricering

Springer Netherlands 2012e druk, 2011 9789400719019

120,99

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Samenvatting

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.

Specificaties

ISBN13:9789400719019

Taal:Engels

Bindwijze:gebonden

Aantal pagina's:220

Uitgever:Springer Netherlands

Druk:2012

Hoofdrubriek:Economie

Inhoudsopgave

<p>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.</p>