DAHBSIM, a Dynamic Agricultural Household Bio-Economic Model

Guillermo Flichman (), Hatem Belhouchette (), Maria Blanco, Roza Chenoune (), Sophie Drogué, Adam M. Komarek, James Hawkins, Wajid Nasim and Siwa Msangi
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Guillermo Flichman: CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes
Hatem Belhouchette: CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes
Roza Chenoune: CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes
Adam M. Komarek: IFPRI - International Food Policy Research Institute [Washington] - CGIAR - Consultative Group on International Agricultural Research [CGIAR]
James Hawkins: IFPRI - International Food Policy Research Institute [Washington] - CGIAR - Consultative Group on International Agricultural Research [CGIAR]
Wajid Nasim: CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes
Siwa Msangi: IFPRI - International Food Policy Research Institute [Washington] - CGIAR - Consultative Group on International Agricultural Research [CGIAR]

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Abstract: The development of bio-economic models responds to the need of tools able to represent in a consistent way different dimensions of Agricultural Systems, integrating different scale levels as well as impacts concerning agro-ecologic issues, socio-economic ones and indirect effects of other nature, such as global environmental impacts. Most bio-economic models use outputs of bio-physical models (Flichman, 2011) to generate part of the parameters of the model. A small number of models including the bio-physical processes in the same code, usually apply empirical bio-physical relations, adapted only to the specific case that is studied. When biophysical models are used to generate data to be introduced in the bio-economic model, it is not possible to fully simulate the dynamic interactions between the economic and the bio-physical dimensions of the whole model. In the majority of cases, the bio-economic models of this type are static, creating to some extent a lack of consistency. On the other side, when only a simplified empirical approach is representing the bio-physical issues, the model cannot be easily adapted to a different context (Holden et al. 2004). The development of DAHBSIM uses an accumulated experience in this type of models, and intends to introduce some specific improvements in relation with previous work in this field, essentially through its dynamic character and the possibility of application in different contexts, as it is developed in a generic way using a modular structure. DAHBSIM is designed to capture some key features of developing countries rural areas. Some aspects of this work present a particular interest from a methodological perspective: The fact that DAHBSIM is built in a modular and generic manner allows applying it in different contexts. The potential user will be able to use all or part of the modules. The architecture of the model may include new modules if it appears necessary to do so. The development of this model is done in the context of collaboration between IFPRI and CIHEAM-IAMM.

Date: 2015-09-07
Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-02741502v1
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Published in 5. International Symposium for Farming Systems Design (AGRO2015), European Society for Agronomy (ESA). INT., Sep 2015, Montpellier, France. 530 p

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