Bio-Economic Models applied to Agricultural Systems (Record no. 109584)

000 -LEADER
fixed length control field 04717nam a22004575i 4500
001 - CONTROL NUMBER
control field 978-94-007-1902-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220083835.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110907s2011 ne | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789400719026
-- 978-94-007-1902-6
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-94-007-1902-6
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HD1401-2210.2
072 #7 - SUBJECT CATEGORY CODE
Subject category code TVB
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code KNAC
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS070010
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 338.1
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Flichman, Guillermo.
Relator term editor.
245 10 - TITLE STATEMENT
Title Bio-Economic Models applied to Agricultural Systems
Medium [electronic resource] /
Statement of responsibility, etc edited by Guillermo Flichman.
264 #1 -
-- Dordrecht :
-- Springer Netherlands,
-- 2011.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 220p. 45 illus., 23 illus. in color.
Other physical details online resource.
336 ## -
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-- txt
-- rdacontent
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-- computer
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338 ## -
-- online resource
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347 ## -
-- text file
-- PDF
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505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc The bio-economic modeling approach presented in this book is a result of two distinct developments: by one side, the improvement of bio-physical simulation models applied to agricultural systems and by the other, the evolution of agricultural policies demanding a kind of assessment that conventional economic models are not able to provide. Some economists began to realize that biophysical models could be considered as detailed engineering production functions, allowing to represent in a consistent manner the joint products of agricultural activities. The perspectives that this vision provides allow dealing with environmental and natural resources issues with an economic perspective in an efficient manner. Representing environmental impacts of agricultural activities measured in physical units allows performing cost-efficiency calculations of alternative policies, potentially able to attain specified policy targets. This capability permitted in recent years the development of applied research related with institutional demands from national and international public institutions. But this approach requires a multidisciplinary approach, with positive and negative effects. The positive one is, both for economists and biophysical scientists, to enlarge their vision of the world. The negative effects are the greater difficulty to get recognized in their specific discipline, the obstacles to obtain the necessary information for properly use these models, and the longer time to perform the research activity. The “productivity” for producing papers is lower for economists applying this approach compared with economists applying econometric methods, using available published data. In spite of these negative effects, as the demands from the real world for the assessment these models are able to provide is increasing, it is quite possible that there is a future for bio-economic models applied to agricultural systems. The challenges of Climate Change, the increase care for the preservation of natural resources and the environment will require further developments of this kind of approach.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Economics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Farm economics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Environmental economics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Economics/Management Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Agricultural Economics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Environmental Economics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Operations Research, Management Science.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9789400719019
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-94-007-1902-6
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