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Reassessing forest products demand functions in Europe using a panel cointegration approach

Author

Listed:
  • Paul Rougieux

    (LEF - Laboratoire d'Economie Forestière - INRA - Institut National de la Recherche Agronomique - AgroParisTech)

  • Olivier Damette

    (BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique)

Abstract

In a panel of European countries, we analyse paper products, sawnwood and wood panels consumption data. With this object, we use a classical demand model where national consumption depends on real GDP and real prices. In contrast to previous panel estimations in the literature, we highlight non-stationarity time series which can lead to spurious regressions. We explicitly take into account the issue by using recent panel cointegration techniques. Cointegration is present for printing paper and fibreboard, though less clear cut for other products. Then we estimate demand elasticities and find that GDP elasticities are significantly lower than estimates from the literature. Finally, we simulate the implications of modified demand elasticities by using a partial equilibrium model of the forest sector. For most products, changes in elasticities would lead to lower projected demand and lower prices over a 20-year time horizon. Lower demand for solid wood and wood fibre would lead to less tensions with fuel wood- and wood-based chemical markets. In a context of rising interest for renewable bio-based products, updated long-term demand models contribute to the analysis of the forest sector's sustainability.

Suggested Citation

  • Paul Rougieux & Olivier Damette, 2018. "Reassessing forest products demand functions in Europe using a panel cointegration approach," Post-Print hal-01826008, HAL.
  • Handle: RePEc:hal:journl:hal-01826008
    DOI: 10.1080/00036846.2017.1420887
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    Cited by:

    1. Kallio, A. Maarit I., 2021. "Wood-based textile fibre market as part of the global forest-based bioeconomy," Forest Policy and Economics, Elsevier, vol. 123(C).
    2. Miguel Riviere & Sylvain Caurla & Philippe Delacote, 2020. "Evolving Integrated Models From Narrower Economic Tools : the Example of Forest Sector Models," Post-Print hal-02512330, HAL.
    3. Schier, Franziska & Morland, Christian & Dieter, Matthias & Weimar, Holger, 2021. "Estimating supply and demand elasticities of dissolving pulp, lignocellulose-based chemical derivatives and textile fibres in an emerging forest-based bioeconomy," Forest Policy and Economics, Elsevier, vol. 126(C).
    4. Miguel Riviere & Sylvain Caurla, 2020. "Representations of the Forest Sector in Economic Models [Les représentations du secteur forestier dans les modèles économiques]," Post-Print hal-03088084, HAL.
    5. Hurmekoski, Elias & Lovrić, Marko & Lovrić, Nataša & Hetemäki, Lauri & Winkel, Georg, 2019. "Frontiers of the forest-based bioeconomy – A European Delphi study," Forest Policy and Economics, Elsevier, vol. 102(C), pages 86-99.
    6. Skjerstad, Svein H.F. & Kallio, A. Maarit I. & Bergland, Olvar & Solberg, Birger, 2021. "New elasticities and projections of global demand for coniferous sawnwood," Forest Policy and Economics, Elsevier, vol. 122(C).
    7. Elias Hurmekoski & Juulia Suuronen & Lassi Ahlvik & Janni Kunttu & Tanja Myllyviita, 2022. "Substitution impacts of wood‐based textile fibers: Influence of market assumptions," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1564-1577, August.

    More about this item

    Keywords

    Finite-sample properties; Time-series; Heterogenous panels; Price elasticities; Cross-section; Income; Wood; Econometrics; Paperboard; Forest product; Sustainability; Unit-root tests; Panel; Produit à base de bois; Europe; Produit forestier; Cointégration; Durabilité;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land

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