产业技术学习率的动态双因素测度模型研究  

Research on Dynamic Two-factor Measurement Model of Industry's Technological Learning Rate

作　　者：杨莹[1] 吴伟伟[2] 于渤[2] 

机构地区：[1]东北林业大学,哈尔滨150040 [2]哈尔滨工业大学,哈尔滨150001

出　　处：《工业技术经济》2012年第9期97-103,共7页Journal of Industrial Technological Economics

基　　金：国家自然科学基金项目(项目编号:70972098;71002061)

摘　　要：从宏观层面上对产业技术学习率进行有效地测度和监测,可以为产业技术政策的适时调整提供重要的参考依据。通过研究产业技术学习过程的动态性和复杂性,本文在传统学习曲线的基础上构建了动态双因素测度模型,对产业的技术学习率进行动态地综合度量,并对模型进行了经济计量分析,最后采用我国制造业1994～2006年的数据进行实证分析。研究结果表明,该模型不仅能够消除双因素学习曲线对技术学习率动态测度的偏差,而且解决了动态学习曲线不能全面测度产业技术学习率的问题,通过测度模型得到的技术学习率能够比较全面准确地反映产业技术学习的实际发展情况。Measuring and monitoring technological learning rate at macro levels would be useful for managing technological policy. The process of technological learning for industry is dynamical and complicated. This text constructed dynamic two - factor measurement model to measure industrial technological learning rate comprehensively and dynamically, then the model was econometricly analyzed and used to test the estimation of technological learning values for Chinese manufacturing industries from 1994 to 2006. The study showed that the model can both resolve the problem of that two-factor leafing curve cannot provide beat fit in the technological learning varying over time, and the problem of that dynamic learning curve cannot measure both learning by doing rate and learning by researching rate, and the measurement results can be used to analyze the technological learning levels of industry.

关 键 词：技术学习率 动态双因素 学习曲线 测度 产业 

分 类 号：F273.1[经济管理—企业管理]