科研管理 ›› 2012, Vol. ›› Issue (6): 75-82.

• 论文 • 上一篇    下一篇

经济全球化与中国的自主研发优势

张少华1, 张少军2   

  1. 1. 浙江理工大学经济管理学院, 浙江 杭州 310018;
    2. 厦门大学经济学院, 福建 厦门 361000
  • 收稿日期:2010-10-08 修回日期:2011-05-06 出版日期:2012-06-27 发布日期:2012-06-20
  • 基金资助:
    教育部人文社会科学研究青年基金项目"公共财政视角下中国经常项目调整模式的机制研究"(批准号为11YJC790281)和杭州市哲学社会科学规划重点课题(批准号为A11YJ02)的资助成果之一;本研究得到浙江理工大学科研启动资金资助,项目编号1005820-Y。

Economy globalization and China’s comparative advantage of independent R&D

Zhang Shaohua1, Zhang Shaojun2   

  1. 1. College of Economics and Management, Zhejiang University of Scienceand Technology, Hangzhou 310018, China;
    2. School of Economics, Xiamen University, Xiamen 361000, China
  • Received:2010-10-08 Revised:2011-05-06 Online:2012-06-27 Published:2012-06-20

摘要: 本文主要研究经济全球化是否提升了中国的自主研发优势这一个重要命题。在阐述经济全球化含义和构建反映技术进步路径选择的自主研发优势指数后,本文利用中国1998-2008年33个行业的面板数据,结合主成份分析法,从国际生产、贸易和投资等方面分析了经济全球化对中国技术进步路径选择的影响。实证结果发现,生产非一体化和贸易一体化显著促进了中国的自主研发优势,投资一体化的自主研发效应并不显著,基于生产、贸易和投资"三位一体"的经济全球化的影响是显著正的。

关键词: 经济全球化, 自主研发优势, 主成份分析法, Driscoll-Kraay稳健估计

Abstract: Against the background of integrated global economy, the important subject whether or not economy globalization uplifts China’s comparative advantage of independent R&D is studied. The means of economy globalization is described. The index of comparative advantage of independent R&D reflecting path selection is constructed by using the panel data of 33 industries during the period of 1998-2008 and principal components analysis. Based these indexes, the effect of economy globalization on the path selection of technical progress in China in term of international product, trade, and investment is explored. The major findings are as follows: Integrated trade and disintegration of production have a significant impact on endogenous road of technical progress; the impact of integrated investment on independent R&D is insignificant. The impact of trinity based on product, trade, and investment on economy globalization is significant positive.

Key words: economy globalization, comparative advantage of independent R&D, principal components analysis, Driscoll-Kraay robust estimate

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