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Dynamic agricultural household bio-economic simulator (DAHBSIM) model description: biosight project technical report

Author

Listed:
  • 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)

  • Adam M. Komarek

    (IFPRI - International Food Policy Research Institute [Washington] - CGIAR - Consultative Group on International Agricultural Research [CGIAR])

  • Sophie Drogue

    (UMR MOISA - Marchés, Organisations, Institutions et Stratégies d'Acteurs - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

  • James Hawkins

    (IFPRI - International Food Policy Research Institute [Washington] - CGIAR - Consultative Group on International Agricultural Research [CGIAR])

  • Roza Chenoune

    (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])

Abstract

DAHBSIM is a dynamic, bio-economic model of agricultural households that was designed to be applied to a rural, developing country-setting, for the purpose of addressing questions around the biophysical constraints to on-farm agricultural productivity, and the whole-farm implications of alternative strategies to sustainable agricultural intensification. The model links socio-economic and biophysical aspects, in order to better illustrate the environmental and human welfare implications of different agricultural production practices, as they are influenced by policy-driven changes in prices of inputs or outputs, or by changes in the physical environment.

Suggested Citation

  • Guillermo Flichman & Hatem Belhouchette & Adam M. Komarek & Sophie Drogue & James Hawkins & Roza Chenoune & Siwa Msangi, 2016. "Dynamic agricultural household bio-economic simulator (DAHBSIM) model description: biosight project technical report," Working Papers hal-01432629, HAL.
    • Handle: RePEc:hal:wpaper:hal-01432629
    Note: View the original document on HAL open archive server: https://hal.science/hal-01432629
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    References listed on IDEAS

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    1. Semaan, Josephine & Flichman, Guillermo & Scardigno, Alessandra & Steduto, Pasquale, 2007. "Analysis of nitrate pollution control policies in the irrigated agriculture of Apulia Region (Southern Italy): A bio-economic modelling approach," Agricultural Systems, Elsevier, vol. 94(2), pages 357-367, May.
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    Cited by:

    1. Komarek, Adam M. & Drogue, Sophie & Chenoune, Roza & Hawkins, James & Msangi, Siwa & Belhouchette, Hatem & Flichman, Guillermo, 2017. "Agricultural household effects of fertilizer price changes for smallholder farmers in central Malawi," Agricultural Systems, Elsevier, vol. 154(C), pages 168-178.
    2. Adam M. Komarek & Siwa Msangi, 2019. "Effect of changes in population density and crop productivity on farm households in Malawi," Agricultural Economics, International Association of Agricultural Economists, vol. 50(5), pages 615-628, September.

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