Skip to main content

Short-Term Forecasting Models for the Finnish Forest Sector: Lumber Exports and Sawlog Demand

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

Due to liberalization of capital and currency markets, globalization of the forest industry, and developments in information technology and logistics, the world's forest product markets have become more interrelated, and they react ever more quickly to changes in macroeconomic conditions. Thus, short-term analysis and forecasting of forest product markets have also become more important. This article explains the framework for the system of short-term forecasting of the Finnish forest sector (MESU) using a case study. We present models and forecasts for short-term changes in the lumber import demand in Germany, how this affects forecasts for Finnish lumber exports, and in turn, how these exports affect forecasts for sawlog demand in Finland. Univariate and multivariate time series models are estimated using quarterly data from 1980:1 to 1996:4, and forecasts are computed for 1997:1 to 1998:4. Results show that the MESU system can be a helpful tool for forecasting short-term changes in the Finnish forest sector. FOR. SCI. 50(4):461–472.

Keywords: Finland; Lumber import demand; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; lumber exports; natural resource management; natural resources; sawlog demand; time series modeling

Document Type: Regular Article

Affiliations: 1: D.Soc.Sc., Research Specialist Finnish Forest Research Institute Unioninkatu 40A Helsinki Finland FIN-00170 Phone: 358 10 211 2218, Email: lauri.hetemaki@metla.fi 2: D.Sc.For., Researcher Finnish Forest Research Institute Helsinki Finland Phone: 358 10 211 2232;, Fax: 358 10 211 2104, Email: riitta.hanninen@metla.fi 3: D.Sc.For., Researcher Finnish Forest Research Institute Joensuu Research Center Box 68 Yliopistokatu 7 Joensuu Finland FIN-80101 Phone: 358 10 211 3181, Email: anne.toppinen@metla.fi

Publication date: 2004-08-01

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

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
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