DETERMINANTS OF KNOWLEDGE PRODUCTION AND THEIR EFFECTS ON REGIONAL ECONOMIC GROWTH
使用贝叶斯空间马尔可夫链蒙特卡洛模型组合方法，分析了欧洲区域专利活动增长率的决定因素，发现考虑空间依赖性和异质性会改变对技术转移和知识溢出重要因素的结论。
ABSTRACT We provide a Bayesian spatial Markov Chain Monte Carlo model composition ( MC 3 ) analysis of growth rates in European regional patenting activity. Based on theoretical models on innovation and growth, we identify a large set of candidate explanatory variables that characterize regional stocks of knowledge, including: human resources devoted to innovative activity, scientific and technical capabilities, public and private investments, government policies, as well as regional industry structure, and indicators of regional technology gaps that reflect distance from the technological frontier. Our analysis shows that accommodating spatial dependence and heterogeneity leads to different conclusions regarding factors important for technological transfer and knowledge spillovers.