IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Estimating price and income elasticities of demand for forest products: Cluster analysis used as a tool in grouping

Listed author(s):
  • Michinaka, Tetsuya
  • Tachibana, Satoshi
  • Turner, James A.
Registered author(s):

    Well-estimated elasticities of demand are important for making long-run projections in demand for forest products. In this research, cluster analysis is used to group 180 countries contained within the Global Forest Products Model (GFPM), using cross-sectional data for per capita gross domestic product (GDP), forest coverage, and per capita consumption of forest products, for forest products including plywood, particleboard, fiberboard, newsprint, printing and writing paper, and other paper and paperboard. The application of cluster analysis prior to estimating the elasticities of demand solves the problem of data availability in estimating elasticities by grouping countries based on variables identified from economics theory and enabling the extension of elasticity estimates to countries that are similar to others in a cluster, but without data for directly estimating elasticties. Mean absolute deviation is used for data standardization, and the k-medoids approach and silhouette technique are used in cluster analysis. Statistics of clusters for every forest product show various combinations of countries with similar levels of per capita GDP, forest coverage, and consumption, such as a cluster with high per capita GDP, low forest coverage, and high consumption of the discussed forest product. The results of the cluster analysis are validated by a one-way analysis of means and multiple comparisons. Countries for panel analysis are selected based on time series data availability and quality. As implied by cluster analysis, some of the countries in the cluster can be used to represent the whole cluster. In this research, long-run static models, short-run dynamic models, and long-run dynamic models of demand are estimated using panel data analysis for countries in each cluster using data from 1992 to 2007 and 9 to 44 countries in each cluster. We found that long-run dynamic elasticities are higher than short-run dynamic estimations, and dynamic model estimations outperform static model estimations as shown in RMSE statistics.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Elsevier in its journal Forest Policy and Economics.

    Volume (Year): 13 (2011)
    Issue (Month): 6 (July)
    Pages: 435-445

    in new window

    Handle: RePEc:eee:forpol:v:13:y:2011:i:6:p:435-445
    Contact details of provider: Web page:

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    in new window

    1. Roos, Anders & Flinkman, Matti & Jappinen, Armas & Lonner, Goran & Warensjo, Mats, 2001. "Production strategies in the Swedish softwood sawmilling industry," Forest Policy and Economics, Elsevier, vol. 3(3-4), pages 189-197, November.
    2. M. L. Chas-Amil & J. Buongiorno, 2000. "The demand for paper and paperboard: econometric models for the European Union," Applied Economics, Taylor & Francis Journals, vol. 32(8), pages 987-999.
    3. Tromborg, Erik & Buongiorno, Joseph & Solberg, Birger, 2000. "The global timber market: implications of changes in economic growth, timber supply, and technological trends," Forest Policy and Economics, Elsevier, vol. 1(1), pages 53-69, May.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:eee:forpol:v:13:y:2011:i:6:p:435-445. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.