Skip to main content

Estimating Supply Elasticity for Disaggregated Paper Products: A Primal Approach

Buy Article:

$29.50 plus tax (Refund Policy)


Most existing elasticity estimates for the pulp and paper industry are based on aggregate products (e.g., total paper, paperboard, or paper except newsprint). Using United States data, we present and evaluate econometric output supply models for four relatively disaggregated paper products: newsprint paper (NP), printing/writing paper (PWP), tissue paper (TP), and packaging paper (PP). Sample periods vary from 14 years for PP (1987–2001) to 20 years for NP and PWP (1981–2001). Each paper type is specified using a two-stage least squares geometric distributed lag model in log–log form using monthly data. Estimated long-run (short-run) output price elasticities are 2.75 (0.69) for NP, 2.45 (1.07) for PWP, 1.77 (1.77) for TP, and 0.41 (0.24) for PP. Input demand elasticities for capital, wood fiber, labor, electricity, and wastepaper are also estimated for each paper type. FOR. SCI. 51(6):570–577.

Keywords: Newsprint; environmental management; factor demand elasticity; forest; forest management; forest resources; forestry; forestry research; forestry science; natural resource management; natural resources; output supply elasticity; packaging paper; tissue paper

Document Type: Regular Article

Affiliations: 1: Faculty College of Agriculture University of Kentucky Lexington KY 40546 2: Professor School of Forestry and Wildlife Sciences Auburn University Auburn AL 36849 Phone: (334) 844-1067;, Fax: (334) 844-1047, Email:

Publication date: December 1, 2005

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Ingenta Connect is not responsible for the content or availability of external websites

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more