期刊文献+

中国高技术产业创新投入与产出的关联测度分析 被引量:15

Correlation Analysis of Chinese Hi-tech Industries Measure of Innovation Input and Output
原文传递
导出
摘要 运用基于似不相关回归系统和自举临界值沃德检验的新方法研究中国高技术产业五大行业创新投入和创新产出之间的格兰杰因果关系。结果表明,电子计算机及办公设备制造业明显存在从创新产出到创新投入方向的格兰杰因果关系,尤其是存在新产品开发经费和新产品销售收入之间的双向格兰杰因果关系;医药制造业明显存在从创新投入到专利申请和从新产品销售收入到新产品开发经费的单向因果关系;医疗设备及仪器仪表制造业存在从新产品开发经费到专利申请和从新产品销售收入到新产品开发经费的单向因果关系;航空航天器制造业和电子及通信设备制造业不存在任何方向的格兰杰因果关系。 This paper examines the causal relationships between the logarithms of real innovation input and real innovation output in 5 industries. A new panel cau- sality analysis is used which is based on SUR systems and Wald tests with industry specific bootstrap critical values. The results indicate one-way causality from inno- vation output to innovation input in Manufacture of Computers and Office Equip- ments, one-way causality from innovation input to Patent Applications and from Sales Revenue of New Products to Expenditure on new Products Development in Manufacture of Medical Equipments and Measuring Instrument, one-way causality from Expenditure on new Products Development to Patent Applications and from Sales Revenue of New Products to Expenditure on new Products Development in Manufacture of Medicines, while in the case of the other industries there is no evi- dence of causal relationships in either direction.
出处 《数量经济技术经济研究》 CSSCI 北大核心 2014年第1期77-92,共16页 Journal of Quantitative & Technological Economics
基金 江苏省高校哲学社会科学研究重大项目"江苏创新型经济发展战略 思路 模式 途径与政策研究"(2010ZDAXMO13)的资助
关键词 高技术产业 研发经费 似不相关回归 Hi-tech Expenditure on R&D Seemingly Unrelated Regression
  • 相关文献

参考文献45

  • 1Acs Z. J. , Anselin L. , Varga A. , 2002, Patents and Innovation Counts as Measures of Regional Production of New Knowledge [J], Research Policy, 7 (31), 1069-1085.
  • 2Blaug M. , 1976, The Empirical Status of the Human Capital Theory.. A Slightly Jaundiced Sur- vey [J], Journal of Economic Literature, 14, 827-855.
  • 3Boubtane E. , 2013, Immigration, Unemployment and GDP in the Host Country - Bootstrap Panel Granger Causality Analysis on OECD Countries [J], Economic Modelling, 33, 261-269.
  • 4Breusch T. , Pagan A. , 1980, The LM Test and Its Applications to Model Specification in Econo- metrics [J], The Review of Economic Studies, 47, 239-254.
  • 5Erickson G. , Jacobson R. , 1992, Gaining Comparative Advantage through Discretionary Expend- itures The Returns to R-D and Advertising [J], Management Science, 38, 1264-1279.
  • 6Grossman G. , Helpman E. , 1991, Innovation and Growth in the Global Economy [M], MIT Press, 59-83.
  • 7Griliches Z., 1990, The Research for Rg-D Spillovers [R], NBER Working Paper, No. 3768.
  • 8Hausman J. , Hall B. , Griliches Z. , 1984, Econometric Model for Count Data with an Applica- tion to Patent R&D Relationship [J], Econometrica, 6 (52), 909-938.
  • 9Hsiao-Ping Chu, 2012, Oil Consumption and Output: What Cause What? Bootstrap Panel Causali- ty for 49 Countries [J], Energy Policy, 51, 907-915.
  • 10Hurlin C., 2008, Testing f or Granger Non-causality in Heterogeneous Panels [R], Mimeo, De- partment of Economics, University of Orleans, 1-32.

二级参考文献286

共引文献1878

同被引文献410

引证文献15

二级引证文献168

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部