基于Translog模型对中国汽车业规模报酬及技术进步的分析

来源 :科学管理研究 | 被引量 : 0次 | 上传用户：lkekej1314

【摘要】

：

利用中国汽车产业2000～2009年的时间序列数据,将影响汽车产业规模报酬的因素分为3个方面:技术工人、非技术工人和资本.建立汽车产业Translog生产函数模型进行估计,并经过BP神

【作者】

：

邱济洲

【机构】

：

内蒙古大学经济管理学院,哈尔滨工业大学数学系

【出处】

：

科学管理研究

【发表日期】

：

2004年期

【关键词】

：

汽车产业规模报酬技术进步 Translog模型

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利用中国汽车产业2000～2009年的时间序列数据,将影响汽车产业规模报酬的因素分为3个方面:技术工人、非技术工人和资本.建立汽车产业Translog生产函数模型进行估计,并经过BP神经网络学习算法得到十余年间汽车产业规模报酬的大趋势,从而发现现阶段中国汽车产业规模报酬并未达到理想状态,说明汽车产业的生产规模仍然存在较大的可发展空间.

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基于Translog模型对中国汽车业规模报酬及技术进步的分析

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