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Introducing forest management in forest sector models: impact of active management and risk attitude on forest resources in the long term

Author

Listed:
  • Antonello Lobianco

    () (Laboratoire d'Economie Forestière, INRA - AgroParisTech)

  • Philippe Delacote

    (Laboratoire d'Economie Forestière, INRA - AgroParisTech
    Climate Economic Chair)

  • Sylvain Caurla

    (Laboratoire d'Economie Forestière, INRA - AgroParisTech)

  • Ahmed Barkaoui

    (Laboratoire d'Economie Forestière, INRA - AgroParisTech)

Abstract

Given the importance of anthropogenic determinants in forest ecosystems within Europe, the objective of this paper is to link the evidence arising from biological models with socioeconomic determinants, where the expected returns of forest investments represent the main driver. An inventory-based forest dynamic model is hence coupled with a market module and a management one in a national level forest sector model for France (FFSM++). Running long-term scenarios (until 2100) we show the implications on the forest composition of an active management: when the most profitable option drives forest investments, coniferous forests are generally preferred over broadleaved ones. This result is however reappraised when the risk aversion of forest owners is explicitly considered in the model, given the higher risk associated with the former. We further show the strong stability of forest ecosystems that, due to the very long cycles, undergoes very small variations in volume stocks even in scenarios where the initial forest regeneration is strongly influenced.

Suggested Citation

  • Antonello Lobianco & Philippe Delacote & Sylvain Caurla & Ahmed Barkaoui, 2014. "Introducing forest management in forest sector models: impact of active management and risk attitude on forest resources in the long term," Working Papers - Cahiers du LEF 2014-05, Laboratoire d'Economie Forestiere, AgroParisTech-INRA, revised Apr 2014.
  • Handle: RePEc:lef:wpaper:2014-05
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    File URL: http://www6.nancy.inra.fr/lef/Cahiers-du-LEF/2014/2014-05
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    Cited by:

    1. Chakir, Raja & Lungarska, Anna, 2015. "Agricultural land rents in land use models: a spatial econometric analysis," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212641, European Association of Agricultural Economists.
    2. Lobianco, Antonello & Delacote, Philippe & Caurla, Sylvain & Barkaoui, Ahmed, 2015. "The importance of introducing spatial heterogeneity in bio-economic forest models: Insights gleaned from FFSM++," Ecological Modelling, Elsevier, vol. 309, pages 82-92.
    3. Miguel RIVIERE & Sylvain CAURLA, 2018. "Integrating non-timber objectives into bio-economic models of the forest sector: a review of recent innovations and current shortcomings," Working Papers of BETA 2018-26, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

    More about this item

    Keywords

    Forest sector modelling; Investment; Risk Aversion.;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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