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A Stochastic Production Frontier Analysis of Polish State Forests

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This article presents a study of the efficiency of Polish state timber production and management polices following the transition to a more competitive market. The objective is to determine how well the Polish State Forests, which manage 80% of Poland's forestland and supply 85% of its timber, have adjusted, after 40 yr of central planning, to this change. The development and estimation of a stochastic frontier production function is used to analyze and evaluate the efficiency of timber production and the effectiveness of management policies. The empirical results provide evidence for the presence of substantial technical inefficiency, along with some scale economies in timber production. In addition, policies that have led to the creation of smaller forest districts, employment reductions, and logging equipment purchases are largely ineffective and perhaps even counterproductive. On the other hand, a strong support is provided for the continued privatization of forest operations. FOR. SCI. 47(4):526–533.
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Keywords: Economic transition; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; natural resource management; natural resources; technical efficiency; timber production

Document Type: Miscellaneous

Affiliations: 1: Department of Forestry, North Carolina State University, Raleigh, NC, 27695-8008, Phone: (919) 515-5780; Fax: (919) 515-6193 [email protected] 2: Warnell School of Forest Resources, University of Georgia, Athens, GA, 30602-2152, Phone: (706) 542-7649; Fax: (706) 542-8356 [email protected]

Publication date: 2001-11-01

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.

    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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