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Measuring the Efficiency of Forest Management

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Abstract:

In managing forests, the relative efficiency of management accomplishments should be evaluated to obtain a guideline for future planning. However, to evaluate whether a multiple-use forest is efficiently managed is very difficult bemuse many outputs do not have market values. In this paper a model based on the principle of Pareto optimality is introduced for measuring the efficiency of forest management. The model is of a linear fractional program which can be converted to a linear program. The aggregate efficiency of a management unit can be separated into technical and scale efficiency to enable the manager to identify the sources of inefficiency. From the dual formulation of the linear program, the inefficient inputs and outputs can also be identified together with the amounts by which they can be improved. As an illustration, the model is applied to measuring the management efficiency of the 13 districts of the National forests of Taiwan, Republic of China. Surprisingly, the results perfectly explain a current proposal of the Taiwan Forestry Bureau. For. Sci. 37(5):1239-1252.

Keywords: Linear programming; multiple use; production function

Document Type: Journal Article

Affiliations: Professor, Department of Forestry, National Taiwan University, Taipei, Taiwan, Republic of China

Publication date: November 1, 1991

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
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