A generic bio-economic farm model for environmental and economic assessment of agricultural systems

Sander Janssen; Kamel Louhichi; Argyris Kannellopoulos; Peter Zander; Guillermo Flichman; Huib Hengsdijk; Eelco Meuter; Erling Andersen; Hatem Belhouchette; Maria Blanco; Nina Borkowski; Thomas Heckelei; Martin Hecker; Hongtao Li; Alfons Oude Lansink; Grete Stokstad; Peter Thorne; Herman van Keulen; Marin K. van Ittersum

doi:10.1007/s00267-010-9588-x

A generic bio-economic farm model for environmental and economic assessment of agricultural systems

Sander Janssen, Kamel Louhichi, Argyris Kannellopoulos, Peter Zander, Guillermo Flichman, Huib Hengsdijk, Eelco Meuter, Erling Andersen, Hatem Belhouchette, Maria Blanco, Nina Borkowski, Thomas Heckelei, Martin Hecker, Hongtao Li, Alfons Oude Lansink, Grete Stokstad, Peter Thorne, Herman van Keulen, Marin K. van Ittersum

50 Citationer (Scopus)

Abstract

Bio-economic farm models are tools to evaluate ex-post or to assess ex-ante the impact of policy and technology change on agriculture, economics and environment. Recently, various BEFMs have been developed, often for one purpose or location, but hardly any of these models are re-used later for other purposes or locations. The Farm System Simulator (FSSIM) provides a generic framework enabling the application of BEFMs under various situations and for different purposes (generating supply response functions and detailed regional or farm type assessments). FSSIM is set up as a component-based framework with components representing farmer objectives, risk, calibration, policies, current activities, alternative activities and different types of activities (e.g., annual and perennial cropping and livestock). The generic nature of FSSIM is evaluated using five criteria by examining its applications. FSSIM has been applied for different climate zones and soil types (criterion 1) and to a range of different farm types (criterion 2) with different specializations, intensities and sizes. In most applications FSSIM has been used to assess the effects of policy changes and in two applications to assess the impact of technological innovations (criterion 3). In the various applications, different data sources, level of detail (e.g., criterion 4) and model configurations have been used. FSSIM has been linked to an economic and several biophysical models (criterion 5). The model is available for applications to other conditions and research issues, and it is open to be further tested and to be extended with new components, indicators or linkages to other models.

Originalsprog	Engelsk
Tidsskrift	Environmental Management (New York)
Vol/bind	46
Udgave nummer	6
Sider (fra-til)	862-877
Antal sider	16
ISSN	0364-152X
DOI	https://doi.org/10.1007/s00267-010-9588-x
Status	Udgivet - dec. 2010

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10.1007/s00267-010-9588-x

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Janssen, S., Louhichi, K., Kannellopoulos, A., Zander, P., Flichman, G., Hengsdijk, H., Meuter, E., Andersen, E., Belhouchette, H., Blanco, M., Borkowski, N., Heckelei, T., Hecker, M., Li, H., Lansink, A. O., Stokstad, G., Thorne, P., Keulen, H. V., & Ittersum, M. K. V. (2010). A generic bio-economic farm model for environmental and economic assessment of agricultural systems. Environmental Management (New York), 46(6), 862-877. https://doi.org/10.1007/s00267-010-9588-x

Janssen, S, Louhichi, K, Kannellopoulos, A, Zander, P, Flichman, G, Hengsdijk, H, Meuter, E, Andersen, E, Belhouchette, H, Blanco, M, Borkowski, N, Heckelei, T, Hecker, M, Li, H, Lansink, AO, Stokstad, G, Thorne, P, Keulen, HV & Ittersum, MKV 2010, 'A generic bio-economic farm model for environmental and economic assessment of agricultural systems', Environmental Management (New York), bind 46, nr. 6, s. 862-877. https://doi.org/10.1007/s00267-010-9588-x

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abstract = "Bio-economic farm models are tools to evaluate ex-post or to assess ex-ante the impact of policy and technology change on agriculture, economics and environment. Recently, various BEFMs have been developed, often for one purpose or location, but hardly any of these models are re-used later for other purposes or locations. The Farm System Simulator (FSSIM) provides a generic framework enabling the application of BEFMs under various situations and for different purposes (generating supply response functions and detailed regional or farm type assessments). FSSIM is set up as a component-based framework with components representing farmer objectives, risk, calibration, policies, current activities, alternative activities and different types of activities (e.g., annual and perennial cropping and livestock). The generic nature of FSSIM is evaluated using five criteria by examining its applications. FSSIM has been applied for different climate zones and soil types (criterion 1) and to a range of different farm types (criterion 2) with different specializations, intensities and sizes. In most applications FSSIM has been used to assess the effects of policy changes and in two applications to assess the impact of technological innovations (criterion 3). In the various applications, different data sources, level of detail (e.g., criterion 4) and model configurations have been used. FSSIM has been linked to an economic and several biophysical models (criterion 5). The model is available for applications to other conditions and research issues, and it is open to be further tested and to be extended with new components, indicators or linkages to other models.",

author = "Sander Janssen and Kamel Louhichi and Argyris Kannellopoulos and Peter Zander and Guillermo Flichman and Huib Hengsdijk and Eelco Meuter and Erling Andersen and Hatem Belhouchette and Maria Blanco and Nina Borkowski and Thomas Heckelei and Martin Hecker and Hongtao Li and Lansink, {Alfons Oude} and Grete Stokstad and Peter Thorne and Keulen, {Herman van} and Ittersum, {Marin K. van}",

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month = dec,

doi = "10.1007/s00267-010-9588-x",

language = "English",

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AU - Janssen, Sander

AU - Louhichi, Kamel

AU - Kannellopoulos, Argyris

AU - Zander, Peter

AU - Flichman, Guillermo

AU - Hengsdijk, Huib

AU - Meuter, Eelco

AU - Andersen, Erling

AU - Belhouchette, Hatem

AU - Blanco, Maria

AU - Borkowski, Nina

AU - Heckelei, Thomas

AU - Hecker, Martin

AU - Li, Hongtao

AU - Lansink, Alfons Oude

AU - Stokstad, Grete

AU - Thorne, Peter

AU - Keulen, Herman van

AU - Ittersum, Marin K. van

PY - 2010/12

Y1 - 2010/12

N2 - Bio-economic farm models are tools to evaluate ex-post or to assess ex-ante the impact of policy and technology change on agriculture, economics and environment. Recently, various BEFMs have been developed, often for one purpose or location, but hardly any of these models are re-used later for other purposes or locations. The Farm System Simulator (FSSIM) provides a generic framework enabling the application of BEFMs under various situations and for different purposes (generating supply response functions and detailed regional or farm type assessments). FSSIM is set up as a component-based framework with components representing farmer objectives, risk, calibration, policies, current activities, alternative activities and different types of activities (e.g., annual and perennial cropping and livestock). The generic nature of FSSIM is evaluated using five criteria by examining its applications. FSSIM has been applied for different climate zones and soil types (criterion 1) and to a range of different farm types (criterion 2) with different specializations, intensities and sizes. In most applications FSSIM has been used to assess the effects of policy changes and in two applications to assess the impact of technological innovations (criterion 3). In the various applications, different data sources, level of detail (e.g., criterion 4) and model configurations have been used. FSSIM has been linked to an economic and several biophysical models (criterion 5). The model is available for applications to other conditions and research issues, and it is open to be further tested and to be extended with new components, indicators or linkages to other models.

AB - Bio-economic farm models are tools to evaluate ex-post or to assess ex-ante the impact of policy and technology change on agriculture, economics and environment. Recently, various BEFMs have been developed, often for one purpose or location, but hardly any of these models are re-used later for other purposes or locations. The Farm System Simulator (FSSIM) provides a generic framework enabling the application of BEFMs under various situations and for different purposes (generating supply response functions and detailed regional or farm type assessments). FSSIM is set up as a component-based framework with components representing farmer objectives, risk, calibration, policies, current activities, alternative activities and different types of activities (e.g., annual and perennial cropping and livestock). The generic nature of FSSIM is evaluated using five criteria by examining its applications. FSSIM has been applied for different climate zones and soil types (criterion 1) and to a range of different farm types (criterion 2) with different specializations, intensities and sizes. In most applications FSSIM has been used to assess the effects of policy changes and in two applications to assess the impact of technological innovations (criterion 3). In the various applications, different data sources, level of detail (e.g., criterion 4) and model configurations have been used. FSSIM has been linked to an economic and several biophysical models (criterion 5). The model is available for applications to other conditions and research issues, and it is open to be further tested and to be extended with new components, indicators or linkages to other models.

U2 - 10.1007/s00267-010-9588-x

DO - 10.1007/s00267-010-9588-x

M3 - Journal article

C2 - 21113782

SN - 0364-152X

VL - 46

SP - 862

EP - 877

JO - Environmental Management (New York)

JF - Environmental Management (New York)

IS - 6

ER -

A generic bio-economic farm model for environmental and economic assessment of agricultural systems

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