省域R&D资本化及其对经济增长贡献研究  

Research on Provincial R&D Capitalization and Its Economic Growth Contribution

作　　者：刘金山[1] 丁卓琪[1] 

机构地区：[1]暨南大学经济学院

出　　处：《产经评论》2017年第6期5-21,共17页Industrial Economic Review

基　　金：2017年度广州市哲学社会科学发展"十三五"规划智库课题"广州建设国家制造业创新中心思路与对策研究"(项目编号:2017GZZK02;项目负责人:刘金山)

摘　　要：创新与技术进步是一个国家经济发展的内生动力,作为技术水平衡量指标的R&D投入能促进知识积累和创新,推动经济高质量发展。然而长期以来R&D的经济增长贡献并未能从全要素生产率以及其他要素中分离出来,以致于技术进步的经济增长作用难以得到准确有效的评估。新的国民经济核算体系SNA2008将"R&D投入"增设在"知识产权产品"中,作为"固定资本形成"计入GDP核算,R&D资本化为更科学地分析R&D活动对经济社会作用提供统计学支撑。通过构建R&D驱动的内生增长模型,采用PIM方法测算我国30个省、市、自治区的R&D资本存量,估算知识存量增长率,研究在新的国民经济核算体系下我国省域R&D资本化对经济增长的贡献。结果显示,1998-2015年R&D高强度地区的资本存量较R&D中低强度地区的资本存量有明显优势且呈扩大趋势,而R&D中低强度地区之间资本存量差距不大;R&D高强度地区、中强度地区与低强度地区对经济增长的平均贡献度分别为0.96%、1.02%、1.04%,平均贡献率分别为9%、10.52%、11.28%,"高强度低贡献"的特征体现了R&D资本的边际生产力递减趋势。The amount of R＆D investment is a measure of innovation and technological progress which are the internal forces of a country’s economic development. However, the contribution of R＆D to economic growth can not be separated from total factor productivity and other factors for a long time, which makes the e-conomic growth effect of technological progress can not be accurately and effectively evaluated. SNA2008 adds “R＆D investment” to “intellectual property products” and counts it as “fixed capital formation” in GDP ac-counting. R＆D capitalization provides statistical support for the more scientific analysis of R＆D activities. The R＆D capital stock of 30 provinces in China is estimated by using the PIM method in this paper as well as the growth rate of knowledge stock. And then the contribution of R＆D to economic growth is also measured under SNA2008 standard. The results show that the capital stock of R＆D high - intensity area in 1998 - 2015 has obvious advantages than the medium and low intensity areas, while the gap between R＆D low - intensity and medium - intensity areas is low. The average contribution rate of R＆D to high - intensity region, edium - in-tensity region and low - intensity R＆D are 0. 96% , 1. 02% and 1. 04% respectively, and the average contri-bution rates are 9% , 10.52% and 11.28% respectively. This feature of “high intensity with low contribu-tion” reflects the decreasing trend of marginal productivity of R＆D capital.

关 键 词：R D资本存量 经济增长 知识增长率 省域经济 

分 类 号：F207[经济管理—国民经济]