Malmquist指数可以分解为效率变化和技术变化两部分,运用Malmquist全要素生产率指数模型,可以在被评价的DMU数据是包含多个时间的英语翻译

Malmquist指数可以分解为效率变化和技术变化两部分,运用Malm

Malmquist指数可以分解为效率变化和技术变化两部分,运用Malmquist全要素生产率指数模型,可以在被评价的DMU数据是包含多个时间点观测值的面板数据时,对技术效率和技术进步分别对生产率变动的影响进行分析。本文选用序列参数比Malmquist指数,优势在于当DMU不足时可提高结果的区分度,其特点是各期的参考集包含以前所有时期的参考集,即t期的参考集为:
0/5000
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结果 (英语) 1: [复制]
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When Malmquist efficiency index can be divided into two parts changes and changes in technology, the use of Malmquist TFP index model, the data can be evaluated DMU panel comprising a plurality of data time points of observations, technical efficiency and productivity, respectively technical progress the impact of changes were analyzed. This selection sequence parameter Malmquist index ratio, advantage can be improved when the DMU is less than the discrimination result, characterized by comprising for each of the reference set of all previously set reference period, i.e., period t is set with reference to:
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结果 (英语) 2:[复制]
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Malmquist index can be broken down into efficiency changes and technological changes, using the Malmquist total factor productivity index model, the evaluation of DMU data is a panel data containing multiple point-in-time observations, the impact of technological efficiency and technological progress on productivity changes. In this paper, the selection of sequence parameters than the Malmquist index, the advantage is that when the DMU is insufficient, the difference of the results can be improved, characterized by the reference set of each period contains the reference set for all previous periods, i.e. the reference set of t-period is:
正在翻译中..
结果 (英语) 3:[复制]
复制成功!
Malmquist index can be divided into two parts: efficiency change and technology change. Using Malmquist total factor productivity index model, we can analyze the impact of technical efficiency and technological progress on productivity change when the DMU data being evaluated is panel data containing multiple time point observations. In this paper, the sequence parameter ratio Malmquist index is selected, which has the advantage that when DMU is insufficient, the result differentiation can be improved. The characteristic is that the reference set of each period includes the reference set of all previous periods, that is, the reference set of T period is:<br>
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