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Estimating Armington elasticities for sawnwood and application to the French Forest Sector Model

Author

Listed:
  • Alexandre Sauquet

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UdA - Université d'Auvergne - Clermont-Ferrand I - CNRS - Centre National de la Recherche Scientifique)

  • Franck Lecocq

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

  • Philippe Delacote

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

  • Sylvain Caurla

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

  • Ahmed Barkaoui

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

  • Serge S. Garcia

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

Abstract

Domestic and foreign forest products consumptions are considered imperfectly substitutable in the French Forest Sector Model (FFSM). This assumption is justified by product heterogeneities that depend on production places, by the consumers habits or by the market structure. It leads us to implement the international trade in the FFSM via the Armington's theory of the demand for products distinguished by place of production. In this paper we propose a calibration of Armingston's elasticities of substitution between French and foreign forest products. System-GMM estimators are applied to identify robust parameters using a panel data from France customs service.

Suggested Citation

  • Alexandre Sauquet & Franck Lecocq & Philippe Delacote & Sylvain Caurla & Ahmed Barkaoui & Serge S. Garcia, 2011. "Estimating Armington elasticities for sawnwood and application to the French Forest Sector Model," Post-Print hal-01018987, HAL.
    • Handle: RePEc:hal:journl:hal-01018987
    DOI: 10.1016/j.reseneeco.2011.04.001
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    References listed on IDEAS

    as
    1. Sylvain Caurla & Philippe Delacote & Franck Lecocq & Ahmed Barkaoui, 2009. "Fuelwood consumption, restrictions about resource availability and public policies: impacts on the French forest sector," Working Papers - Cahiers du LEF 2009-03, Laboratoire d'Economie Forestiere, AgroParisTech-INRA.
    2. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    3. Stephen Bond & Anke Hoeffler, 2001. "GMM Estimation of Empirical Growth Models," Economics Series Working Papers 2001-W21, University of Oxford, Department of Economics.
    4. Edward J. Balistreri & Christine A. McDaniel & Eina Vivian Wong, 2003. "An Estimation of U.S. Industry-Level Capital-Labor Substitution," Computational Economics 0303001, University Library of Munich, Germany.
    5. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    6. Mark Harris & Laszlo Matyas & Patrick Sevestre, 2008. "Dynamic Models for Short Panels," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00279980, HAL.
    7. Gallaway, Michael P. & McDaniel, Christine A. & Rivera, Sandra A., 2003. "Short-run and long-run industry-level estimates of U.S. Armington elasticities," The North American Journal of Economics and Finance, Elsevier, vol. 14(1), pages 49-68, March.
    8. Sylvain Caurla & Franck Lecocq & Philippe Delacote & Ahmed Barkaoui, 2010. "The French Forest Sector Model: version 1.0. Presentation and theorical foundations," Working Papers - Cahiers du LEF 2010-04, Laboratoire d'Economie Forestiere, AgroParisTech-INRA.
    9. Bowsher, Clive G., 2002. "On testing overidentifying restrictions in dynamic panel data models," Economics Letters, Elsevier, vol. 77(2), pages 211-220, October.
    10. Bruce A. Blonigen & Wesley W. Wilson, 1999. "Explaining Armington: What Determines Substitutability Between Home and Foreign Goods?," Canadian Journal of Economics, Canadian Economics Association, vol. 32(1), pages 1-21, February.
    11. Clinton R. Shiells & Kenneth A. Reinert, 1993. "Armington Models and Terms-of-Trade Effects: Some Econometric Evidence for North America," Canadian Journal of Economics, Canadian Economics Association, vol. 26(2), pages 299-316, May.
    12. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    13. Donnelly, William A. & Johnson, Kyle & Tsigas, Marinos E. & Ingersoll, David, 2004. "Revised Armington Elasticities of Substitution for the USITC Model and the Concordance for Constructing a Consistent Set for the GTAP Model," Working Papers 15861, United States International Trade Commission, Office of Economics.
    14. Stephen Bond & Anke Hoeffler & Jonathan Temple, 2001. "GMM Estimation of Empirical Growth Models," Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
    15. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    16. Welsch, Heinz, 2008. "Armington elasticities for energy policy modeling: Evidence from four European countries," Energy Economics, Elsevier, vol. 30(5), pages 2252-2264, September.
    17. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1, July-Dece.
    18. Mutanen, Antti, 2006. "Estimating substitution in coniferous sawnwood imports into Germany," Journal of Forest Economics, Elsevier, vol. 12(1), pages 31-50, March.
    19. Balistreri, Edward J. & McDaniel, Christine A. & Wong, Eina Vivian, 2003. "An estimation of US industry-level capital-labor substitution elasticities: support for Cobb-Douglas," The North American Journal of Economics and Finance, Elsevier, vol. 14(3), pages 343-356, December.
    20. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    21. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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    Cited by:

    1. Bajzik, Jozef & Havranek, Tomas & Irsova, Zuzana & Schwarz, Jiri, 2019. "Estimating the Armington Elasticity: The Importance of Data Choice and Publication Bias," MPRA Paper 95031, University Library of Munich, Germany.
    2. Caurla, Sylvain & Delacote, Philippe & Lecocq, Franck & Barkaoui, Ahmed, 2013. "Stimulating fuelwood consumption through public policies: An assessment of economic and resource impacts based on the French Forest Sector Model," Energy Policy, Elsevier, vol. 63(C), pages 338-347.
    3. Etienne Lorang & Antonello Lobianco & Philippe Delacote, 2021. "Sectoral, resource and carbon impacts of increased paper and cardboard recycling," Working Papers 2021.12, FAERE - French Association of Environmental and Resource Economists.
    4. Latta, Gregory S. & Sjølie, Hanne K. & Solberg, Birger, 2013. "A review of recent developments and applications of partial equilibrium models of the forest sector," Journal of Forest Economics, Elsevier, vol. 19(4), pages 350-360.
    5. Delahaye, Elliot & Milot, Catherine, 2020. "Measuring the UK Economy’s Armington Elasticities," Conference papers 333170, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. 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.
    7. Bajzik, Josef & Havranek, Tomas & Irsova, Zuzana & Schwarz, Jiri, 2020. "Estimating the Armington elasticity: The importance of study design and publication bias," Journal of International Economics, Elsevier, vol. 127(C).
    8. Hurmekoski, Elias & Hetemäki, Lauri & Linden, Mika, 2015. "Factors affecting sawnwood consumption in Europe," Forest Policy and Economics, Elsevier, vol. 50(C), pages 236-248.
    9. Lobianco, Antonello & Caurla, Sylvain & Delacote, Philippe & Barkaoui, Ahmed, 2016. "Carbon mitigation potential of the French forest sector under threat of combined physical and market impacts due to climate change," Journal of Forest Economics, Elsevier, vol. 23(C), pages 4-26.
    10. Caurla, Sylvain & Bertrand, Vincent & Delacote, Philippe & Le Cadre, Elodie, 2018. "Heat or power: How to increase the use of energy wood at the lowest cost?," Energy Economics, Elsevier, vol. 75(C), pages 85-103.
    11. Caurla, Sylvain & Garcia, Serge & Niedzwiedz, Alexandra, 2015. "Store or export? An economic evaluation of financial compensation to forest sector after windstorm. The case of Hurricane Klaus," Forest Policy and Economics, Elsevier, vol. 61(C), pages 30-38.
    12. Claudio Petucco & Antonello Lobianco & Sylvain Caurla, 2020. "Economic Evaluation of an Invasive Forest Pathogen at a Large Scale : The Case of Ash Dieback in France," Post-Print hal-02625280, HAL.
    13. Josef Bajzik & Tomas Havranek & Zuzana Irsova & Jiri Schwarz, 2019. "The Elasticity of Substitution between Domestic and Foreign Goods: A Quantitative Survey," Working Papers 2019/12, Czech National Bank.
    14. 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.
    15. Claudio Petucco & Antonello Lobianco & Sylvain Caurla, 2020. "Economic Evaluation of an Invasive Forest Pathogen at a Large Scale : The Case of Ash Dieback in France," Post-Print hal-03639337, HAL.

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    More about this item

    Keywords

    armington elasticities; international timber trade; forest sector modeling; France; business and economics; energy and fuels; environmental sciences and ecology;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy

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