| 基于随机前沿面神经网络的TFP贡献率测度 |
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| 引用本文： | 刘莹丰,童恒庆,何新安.基于随机前沿面神经网络的TFP贡献率测度[J].价值工程,2008,27(4):102-105. |
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| 作者姓名： | 刘莹丰 童恒庆 何新安 |
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| 作者单位： | 1. 理工大学,理学院,武汉,430070
2. 农业大学,经济管理学院,广州,510642 |
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| 摘 要： | 针对全要素生产率(TFP)贡献率测度的问题,研究了用神经网络来测量TFP贡献率的方法和用随机前沿面来测量TFP贡献率的方法;指出了这两种方法在测算中存在的缺陷。并在此基础之上,提出了运用随机前沿面模型构造出随机前沿面神经网络来测量TFP贡献率,从而实现了利用随机前沿面神经网络模型进行TFP测度贡献率。全部计算过程都通过了编程计算,收进我们自己的软件系统DASC。
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| 关 键 词： | TFP测度 随机前沿面 神经网络 |
| 文章编号： | 1006-4311(2008)04-0102-04 |
The Estimation of TFP Contribution Based on Stochastic Frontier Neural Network |
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| Liu Yingfeng,Tong Hengqing,He Xin'an.The Estimation of TFP Contribution Based on Stochastic Frontier Neural Network[J].Value Engineering,2008,27(4):102-105. |
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| Authors: | Liu Yingfeng Tong Hengqing He Xin'an |
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| Abstract: | This paper aim at the problem of Total Factor Productivity(TFP) contribution,we study on the Neural Network method and Stochastic Frontier model in TFP contribution, point out the shortage of this two methods,base on this two methods,we using Stochastic Frontier model to construct Stochastic Frontier neural network to estimate of TFP contribution,and make it come true in the computer, all calculate process have been made into programme and took in our software system DASC. |
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| Keywords: | The Estimation of TFP stochastic frontier neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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