期刊文献+

基于SEM模型下长三角区域创新研究 被引量:7

Innovation of the Yangtze River Delta Region Based on the SEM Model
原文传递
导出
摘要 采用空间经济计量方法,使用2003—2011年数据,研究长三角25个城市区域创新的空间集聚现象。主要结论包括:Moran's I值及散点图表明9年间长三角区域创新投入产出存在空间不平衡性,并向上海、无锡、南京、杭州和苏州5个城市集聚;以专利为创新产出的空间动态面板SEM模型实证结果表明区域创新集聚受各城市的个体特征随机影响显著、前期创新产出影响显著且初始值具有内生性,如果忽略此影响,有可能会高估前期创新产出,而低估创新活动的空间相关性影响。 Using the spatial econometric methods ,we study the spatial integrationfeatures of technological innovation of the Yangtze River Delta based on data from 2003 to 2011 across 25 cities. The Moran' s I index and scatter plot indicate that ithas inequality and integrationof the development of the innovation among cities and gather to the 5 cities of Shanghai, Wuxi, Nanjing, Hangzhou and Suzhou. The SEM model rezults show that the Yangtze River Delta' s regional innovation activities are affected by the individual random effect, and Pre-innovation output whose initial value is endogenous.if the model ignore the effects ,it may underestimate the impact of the spatial correlation.
出处 《经济地理》 CSSCI 北大核心 2016年第9期135-140,共6页 Economic Geography
基金 湖南省哲学社会科学基金项目(15YBA118 15YBA118) 湖南省自然科学基金项目(2015JJ6031) 衡阳市社会科学基金项目(2015B[Ⅱ]015 2015C002)
关键词 区域创新 空间权重 空间动态面板模型 Moran's I regional Innovation spatial weight spatial dynamic panel model Moran's I
  • 相关文献

参考文献28

  • 1Anselin L. Spatial Econometrics: Methods and Models [M]. Kluwer Academic Publishers, Dordrecht, 1988. 被引量:1
  • 2B H Baltagi, Long Liu. Testing for random effects and spatial lag dependence in panel data models[J]. Statistics and Probabil- ity Letters, 2008,78: 3 304 - 3 306. 被引量:1
  • 3Yu J, Jong R.D, Lee L. Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large[J]. Econometrics, 2008(146): 118 - 134. 被引量:1
  • 4Kelejian H H, Prucha R. Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances[J]. Econometrics, 2010(157): 53 - 67. 被引量:1
  • 5J P LeSage, R K Pace. Introduce to spatial econometrics [M]. Taylor &Francis Group, 2009. 被引量:1
  • 6J P Elhorst. Dynamic spatial panels: models, methods and infer-ences [ J ]. Joumal of Geographical Systems, 2012,14(1) : 5 - 28. 被引量:1
  • 7Mudit Kapoor, H H Kelejian, Ingmar RPrucha. Panel data mod- els with spatially correlated error components [J]. conometrics 2007,140:97 - 130. 被引量:1
  • 8Gertler, Meric S. Tacit knowledge and the economic geography of context, or The undefinable tacitness of being(there) [J].Jour- nal of Economic Geography, 2003(3): 75 - 99. 被引量:1
  • 9李习保.中国区域创新能力变迁的实证分析:基于创新系统的观点[J].管理世界,2007,23(12):18-30. 被引量:236
  • 10李婧,谭清美,白俊红.中国区域创新生产的空间计量分析——基于静态与动态空间面板模型的实证研究[J].管理世界,2010,26(7):43-55. 被引量:594

二级参考文献299

共引文献3262

同被引文献122

引证文献7

二级引证文献198

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