基于非线性STR模型的要素投入与技术创新关系的实证研究——以我国高技术产业为对象被引量：4

Empirical Research on the Relationship between Factor Inputs and Technological Innovation Based on Nonlinear Smooth Transition Autoregressive Model——Taking High Tech Industries in China as an Example

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摘要基于1995—2010年我国高技术产业面板数据，采用非线性STR模型，对要素投入与技术创新之间的关系进行实证研究。研究发现：要素投入与技术创新之间存在非线性关系；在不同的区位条件下，各要素投入对技术创新的作用发生了显著变化；以对外开放程度为转换变量的模型最为准确地反映了要素投入与技术创新之间的非线性关系。 This paper researches the relationship between factor inputs and technological innovation based on nonlinear pan- el smooth transition autoregressive model utilizing Chinese high tech industry provincial-level panel data from 1995 to 2010. The result shows that： the relationship between factor inputs and technological innovation showed a significant nonlinear characteristic. The impact of factor inputs on technological innovation varied significantly in different location conditions. The model which takes openness as the conversion variable is the most accurate model reflecting the nonlinear relationship between factor inputs and technological innovation.

作者胡宗义刘春霞

机构地区湖南大学金融与统计学院

出处《软科学》 CSSCI 北大核心 2013年第9期7-12,共6页 Soft Science

基金国家社会科学基金重点项目(12AJL007) 教育部新世纪优秀人才支持计划项目(NCET-09-0329) 湖南省自然科学基金项目(S2011J50431510)

关键词要素投入技术创新高技术产业 STR模型 factor inputs technological innovation high tech industries STR model

分类号 F062.9 [经济管理—政治经济学] F224 [经济管理—国民经济]

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