The spatial externalities measurement of knowledge spillovers - Based on the spatial and the industrial dimensions

被引：0
|
作者：
Xu X. [1 ]
Tian X. [2 ]
机构：
[1] The Institute for the Development of Central China, Wuhan University, Wuhan
[2] School of Economics and Management, Qingdao Agricultural University, Qingdao
来源：
Tian, Xianghui (xianghuitian@126.com) | 1600年 / Systems Engineering Society of China卷 / 36期
关键词：
Direct effects; Geographical proximity; Indirect effects; proximity; Spatial Durbin model; Technological;
D O I：
10.12011/1000-6788(2016)05-1280-08
中图分类号：
学科分类号：
摘要：
Based on the frame of the knowledge production function, the paper introduces geographical proximity and technological proximity together in the spatial econometric model, systematically analyzes the two proximities' interactive effects in the process of knowledge spillover, and realizes an effective combination of the spillover effect in the spatial and the industrial dimensions. Based on the first and the second economic census data in regions all over China, the Bayesian Markov Chain Monte Carlo (MCMC) methods are used to estimate the spatial Durbin model, and the spatial externalities are divided into direct effects and indirect effects, so as to avoid the error of explanations for the model parameter. The empirical results not only confirm the presence of spatial externalities, but also find that specialization economies based on technological proximity promote innovation output effectively, and that spatial spillover effects based on geographical proximity are relatively weak. © 2016, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.
引用
收藏
页码：1280 / 1287
页数：7
相关论文
共 18 条
  • [1] Fujita M., Krugman P., The new economic geography: Past, present and the future, Papers in Regional Science, 83, 1, pp. 139-164, (2004)
  • [2] Fujita M., Mori T., Frontiers of the new economic geography, Papers in Regional Science, 84, 3, pp. 377-405, (2005)
  • [3] Fingleton B., Lopez-Bazo E., Empirical growth models with spatial effects, Papers in Regional Science, 85, 2, pp. 177-198, (2006)
  • [4] Autant-Bernard C., Lesage J.P., Quantifying knowledge spillovers using spatial econometric models, Journal of Regional Science, 51, 3, pp. 471-496, (2011)
  • [5] Lesage J., Pace R.K., Introduction to Spatial Econometrics, (2009)
  • [6] Anselin L., Thirty years of spatial econometrics, Papers in Regional Science, 89, 1, pp. 3-25, (2010)
  • [7] Beaudry C., Schiffauerova A., Who's right, Marshall or Jacobs? The localization versus urbanization debate, Research Policy, 38, 2, pp. 318-337, (2009)
  • [8] Autant-Bernard C., Spatial econometrics of innovation: Recent contributions and research perspectives, Spatial Economic Analysis, 7, 4, pp. 403-419, (2012)
  • [9] Audretsch D.B., Feldman M.P., Knowledge Spillovers and The Geography Of Innovation, 4, pp. 2713-2739, (2004)
  • [10] Paci R., Marrocu E., Usai S., The complementary effects of proximity dimensions on knowledge spillovers, Spatial Economic Analysis, 9, 1, pp. 9-30, (2014)
12