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Joint production and substitution in timber supply: a panel data analysis

Author

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  • Torjus Bolkesjø
  • Joseph Buongiorno
  • Birger Solberg

Abstract

Supply equations for sawlog and pulpwood were developed with a panel of data from 102 Norwegian municipalities, observed from 1980 to 2000. Static and dynamic models were estimated by cross-section, time-series andpanel data methods. A static model estimated by first differencing gavethe best overall results in terms of theoretical expectations, pattern ofresiduals, prediction accuracy and parsimony. The results showed thatsawlog supply responded positively to its own price (elasticity e = 0.91 ± 0.07) but negatively to the pulpwood price (e = -0.22 ± 0.06). The pulpwood supply responded positively to the price of both pulpwood (e = 0.53 ± 0.06) and sawlogs (e = 0.20 ± 0.07). Sawlog and pulpwood supply had a common elasticity of 2.04 (± 0.25) with respect to the growing stock, and of 0.30 (± 0.21) with respect to the interest rate. The supply elasticity of substitution of sawlog for pulpwood with respect to their relative price was 0.74 ± 0.04. Policies to raise the annual harvest, which is currently well below the annual growth, should focus on stimulating sawnwood production (thus increasing sawlog prices), because this would increase supply of both pulpwood and sawlogs. Instead, policies to stimulate pulpwood demand (thus increasing pulpwood prices), would give more pulpwood, but less sawlogs.

Suggested Citation

  • Torjus Bolkesjø & Joseph Buongiorno & Birger Solberg, 2010. "Joint production and substitution in timber supply: a panel data analysis," Applied Economics, Taylor & Francis Journals, vol. 42(6), pages 671-680.
  • Handle: RePEc:taf:applec:v:42:y:2010:i:6:p:671-680
    DOI: 10.1080/00036840701721216
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    Cited by:

    1. Pui-Yu Ling & Giovanni Baiocchi & Chengquan Huang, 2016. "Estimating annual influx of carbon to harvested wood products linked to forest management activities using remote sensing," Climatic Change, Springer, vol. 134(1), pages 45-58, January.
    2. Pui-Yu Ling & Giovanni Baiocchi & Chengquan Huang, 2016. "Estimating annual influx of carbon to harvested wood products linked to forest management activities using remote sensing," Climatic Change, Springer, vol. 134(1), pages 45-58, January.
    3. Trømborg, Erik & Havskjold, Monica & Lislebø, Ole & Rørstad, Per Kristian, 2011. "Projecting demand and supply of forest biomass for heating in Norway," Energy Policy, Elsevier, vol. 39(11), pages 7049-7058.
    4. Guo, Jinggang & Gong, Peichen, 2017. "The potential and cost of increasing forest carbon sequestration in Sweden," Journal of Forest Economics, Elsevier, vol. 29(PB), pages 78-86.
    5. Shahi, Kabindra & Siry, Jacek & Bettinger, Pete & Li, Yanshu & Smith, Jonathan, 2023. "Estimating timber supply elasticity of private forest landowners in the US South," Forest Policy and Economics, Elsevier, vol. 154(C).
    6. Kuuluvainen, Jari & Karppinen, Heimo & Hänninen, Harri & Uusivuori, Jussi, 2014. "Effects of gender and length of land tenure on timber supply in Finland," Journal of Forest Economics, Elsevier, vol. 20(4), pages 363-379.
    7. Guo, Jinggang & Gong, Peichen, 2019. "Assessing the impacts of rising fuelwood demand on Swedish forest sector: An intertemporal optimization approach," Forest Policy and Economics, Elsevier, vol. 105(C), pages 91-98.
    8. Zhao, Jianheng & Daigneault, Adam & Weiskittel, Aaron, 2020. "Forest landowner harvest decisions in a new era of conservation stewardship and changing markets in Maine, USA," Forest Policy and Economics, Elsevier, vol. 118(C).

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