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

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

Document Type: Research Article

Publication date: 2006-10-01

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  • Important Notice: SAF's journals are now published through partnership with the Oxford University Press. Access to archived material will be available here on the Ingenta website until March 31, 2018. For new material, please access the journals via OUP's website. Note that access via Ingenta will be permanently discontinued after March 31, 2018. Members requiring support to access SAF's journals via OUP's site should contact SAF's membership department for assistance.

    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.

    2016 Impact Factor: 1.782 (Rank 17/64 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
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