Analysis of technological learning for China's manufacturing industry

Yang Ying, Weiwei Wu, Y. Bo
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Abstract

Learning mechanisms are needed for enterprises to obtain advanced technology as they constitute the dynamic element of technological capabilities. As a cumulative process, technological learning includes both learning by experience and learning by research and development. This paper aims to construct a two-factor learning curve model based on traditional theory, and China's manufacturing industries are being used to demonstrate the analysis of different aspects of technological learning effects. It is found that the two kinds of learning rates are different across China's manufacturing industries. Especially, high-tech manufacturing industries have higher learning by researching rate than learning by doing rate, while the others have higher learning by doing rate than learning researching rate. The paper makes explanations of the difference and gives an insight into industrial rational allocating recourses into developing learning mechanism.
中国制造业的技术学习分析
企业获取先进技术需要学习机制,学习机制是技术能力的动态要素。技术学习是一个累积的过程,既包括经验学习,也包括研发学习。本文旨在在传统理论的基础上构建双因素学习曲线模型,并以中国制造业为例,对技术学习效应的不同方面进行实证分析。研究发现,这两种学习率在中国制造业中存在差异。特别是高技术制造业的研究学习率高于实践学习率,而其他行业的实践学习率高于学习研究率。本文对二者的区别进行了解释,并将产业资源的合理配置引入到学习机制的发展中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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