基于非参数模型的测井承包商技术效率评价

Q3 Engineering
L. Lebel, W. Stuart
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引用次数: 55

摘要

采用数据包络分析(DEA)模型对采伐承包企业的技术效率进行了测度。DEA是一种基于线性规划方法的非参数效率测度技术。本文展示了如何将DEA模型应用于森林经营环境,以深入了解影响技术效率和绩效的因素。我们比较了23台全机械化伐木机将投入(美元资本、消耗品和劳动力)转化为产出(吨木材)的效率。总的来说,在1988年至1994年期间,所研究的伐木承包商是有效率的,但有些承包商的效率比其他承包商低得多。低产能利用率对技术效率有负面影响。操作的规模也会影响技术效率。对于样本,最具生产力的规模估计为每年75,000吨左右。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technical Efficiency Evaluation of Logging Contractors Using a Nonparametric Model
Data Envelopment Analysis (DEA) models were used to measure the technical efficiency of a sample of logging contractors. DEA is a nonparametric efficiency measurement technique based on linear programming methods. This paper demonstrates how DEA models can be applied in a forest operations context to gain insights on the factors which affect technical efficiency and performance. Twenty-three fully mechanized loggers were compared in regards to the efficiency with which they converted inputs – dollars of capital, consumables, and labor – into output – tons of wood. Overall, for the period of 1988 to 1994, the logging contractors studied were efficient, but some were considerably less efficient than others. Low capacity utilization had a negative impact on technical efficiency. The scale of an operation also influenced technical efficiency. For the sample, the most productive scale size was estimated to be around 75,000 tons per year.
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来源期刊
European Journal of Forest Engineering
European Journal of Forest Engineering Agricultural and Biological Sciences-Forestry
CiteScore
1.30
自引率
0.00%
发文量
6
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