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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.
    2. Blanco-Gutiérrez, Irene & Varela-Ortega, Consuelo & Flichman, Guillermo, 2011. "Cost-effectiveness of groundwater conservation measures: A multi-level analysis with policy implications," Agricultural Water Management, Elsevier, vol. 98(4), pages 639-652, February.
    3. Ecker, Olivier & Qaim, Matin, 2011. "Analyzing Nutritional Impacts of Policies: An Empirical Study for Malawi," World Development, Elsevier, vol. 39(3), pages 412-428, March.
    4. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    5. Louhichi, Kamel & Kanellopoulos, Argyris & Janssen, Sander & Flichman, Guillermo & Blanco, Maria & Hengsdijk, Huib & Heckelei, Thomas & Berentsen, Paul & Lansink, Alfons Oude & Ittersum, Martin Van, 2010. "FSSIM, a bio-economic farm model for simulating the response of EU farming systems to agricultural and environmental policies," Agricultural Systems, Elsevier, vol. 103(8), pages 585-597, October.
    6. John M. Antle, 1987. "Econometric Estimation of Producers' Risk Attitudes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(3), pages 509-522.
    7. Belhouchette, Hatem & Louhichi, Kamel & Therond, Olivier & Mouratiadou, Ioanna & Wery, Jacques & Ittersum, Martin van & Flichman, Guillermo, 2011. "Assessing the impact of the Nitrate Directive on farming systems using a bio-economic modelling chain," Agricultural Systems, Elsevier, vol. 104(2), pages 135-145, February.
    8. Bouman, B. A. M. & van Keulen, H. & van Laar, H. H. & Rabbinge, R., 1996. "The `School of de Wit' crop growth simulation models: A pedigree and historical overview," Agricultural Systems, Elsevier, vol. 52(2-3), pages 171-198.
    9. Chavas, Jean-Paul, 2004. "Risk Analysis in Theory and Practice," Elsevier Monographs, Elsevier, edition 1, number 9780121706210.
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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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