Skip to main content

An Econometric Analysis of the Effect of Forest Dependence on the Economic Well-Being of Canadian Communities

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

This study examines how changes in economic activity in forestry, expressed as forest dependence at a census subdivision level (CSD), affected measures of economic well-being. The empirical models used to address this question were developed and estimated using random effects panel and two-stage least-squares estimators using data from the 1986, 1991, and 1996 Canadian census. The results illustrate the contribution of economic diversity to income growth and poverty reduction. However, the results also suggest that forest dependence was positively and significantly related to unemployment rates and to the incidence of poverty for people in private households. Forest dependence was shown to have little or no effect on median household income and the distribution of income within CSDs. These relationships were assessed while holding constant other factors expected to affect community level economic well-being, including economic diversity, trade exposure, and aggregate demand.

Keywords: Forest dependence; diversity; income distribution; regional economic welfare; unemployment

Document Type: Research Article

Publication date: 2006-10-01

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

    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 ContentFree content
  • Partial Free ContentPartial Free content
  • New ContentNew content
  • Open Access ContentOpen access content
  • Partial Open Access ContentPartial Open access content
  • Subscribed ContentSubscribed content
  • Partial Subscribed ContentPartial Subscribed content
  • Free Trial ContentFree 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