科研管理

科研管理 ›› 2011, Vol. 32 ›› Issue (1): 45-51 .

• 论文 • 上一篇    下一篇

公共科研投资、技术创新与水稻生产率增长——基于动态理论的实证分析/FONT

  展进涛1，陈超1，廖西元2   

  1.     （1.南京农业大学经济管理学院，江苏南京210095；
    2.中国水稻研究所，浙江杭州310006）      
  • 收稿日期:2009-02-04 修回日期:2009-12-02 出版日期:2011-01-27 发布日期:2011-04-12

The relationship between public R&D investment, technology innovations and productivity growth of rice in China

  Zhan Jintao1, Chen Chao1, Liao Xiyuan2   


  1. (1. School of Economics and Management, Nanjing Agricultural University, Nanjing 210095, China；
    2. China National Rice Research Institute, Hangzhou 310006, China)
  • Received:2009-02-04 Revised:2009-12-02 Online:2011-01-27 Published:2011-04-12

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摘要：     摘要：本文运用协整理论，对我国1990-2006年的水稻公共科研投资与技术创新及其生产率增长之间的长短期动态关系进行了检验。结果表明，水稻公共科研投资与技术创新之间存在长期的单向Granger因果关系，而技术创新及公共科研投资与TFP增长之间关系不显著；从短期来看，公共科研投资是水稻品种技术创新的Granger原因，且应用试验经费投入是TFP增长的Granger原因，但技术创新与TFP增长仍不存在显著的Granger因果关系，表明水稻品种创新成果的增加对TFP增长没有显著影响；最后，本文进行了相关解释。  

关键词: 协整检验, 误差修正模型, 公共科研投资, 水稻

Abstract:     Abstract: Based on the cointegration theory, the dynamic equilibrium relationship between public R&D investment, technology innovations and rice productivity growth for China over the period of 1990-2006 in both long and short terms is demonstrated. The results show that there exist long-term unilateral Granger causality relationship in the presence of cointegration between public R&D investment and technology innovation, and the relationship either between technology innovation and TFP growth, or between public R&D investment and TFP growth is insigniticant. Moreover, Granger causality tests demonstrate that unilateral Granger causality exists between public R&D investment and the change of technology innovation, meanwhile between applied research investment and the change of TFP in the short term, however the change of technology innovation is still not the main reason that promotes TFP growth in the short run, and has no effect on the TFP growth. According to empirical results, relevant explanations are provided at last.  

Key words: cointegration test, error correction model, public R&D investment, rice

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