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我国科技投入对经济增长贡献的实证研究 被引量:44

Empirical study on contribution of S&T input to economic growth in China
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摘要 在C-D生产函数的基础上引入科技投入变量构建生产函数模型。采用1990-2005年的数据估计全国和部分省市生产函数,并通过所估计的生产函数确定各投入要素对产出的贡献率。研究结果表明:在引进科技投入要素后,全国和各地的生产函数中劳动L的弹性β的值都要远远大于资本K的弹性α的值,这说明在考虑科技投入的前提下,我国还是一个劳动密集型的国家;北京、上海和天津科技投入效率排在前列,同时受外来技术溢出的影响也是最大的。广东、江苏和浙江等地科技投入效率较低;从科技投入要素的贡献率来看,所研究的全国和各地区的结果差别不明显。 Based on the statistical data of china and some provinces or cities since 1990 to 2005, this paper estimates the production function and contribution rate of input factor by introducing science & technology input in C-D production function model. The result of study shows that the elasticity coefficient of labor βis bigger than the elasticity coefficient of capitala in china and some provinces or cities' production function after introducing science& technology input. This result indicates that our country is still a labor-intensive country. The efficiency of Beijing' s science and technology input gets the first place, followed by Tianjin and Shanghai. The same phenomenon appears in these regions about spillovers of technology from the other regions. The efficiency of Guangdong, Jiangsu and Zhejiang is comparatively lower. However, the difference is not obvious in contribution rate of input factor.
出处 《科学学研究》 CSSCI 北大核心 2009年第2期196-201,共6页 Studies in Science of Science
基金 国家自然科学基金资助项目(70673099) 北京市科委软科学课题资助项目(Z000608100008121)
关键词 C—D生产函数 科技投入 R&D 贡献率 溢出 C-D production function S&T input R&D contribution rate spillovers
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