摘要
本文采用我国2002-2010年28个省、市、地区21个二位数工业行业的面板数据,实证检验了知识外溢对工业行业全要素生产率的影响。研究结果表明,在全国范围内,产业专业化(MAR外部性)对产业全要素生产率的影响显著为正,而多样化(JACBOS外部性)和竞争(PORTER外部性)的影响作用并不明显。在分地区和分产业的稳健性检验中,专业化、多样化和竞争对产业全要素生产率的影响存在显著差异。
This paper quantitatively estimates the effect of knowledge spillovers on industrial total factor pro- ductivity using a large sample of panel data including Chinese 28 provinces and 21 industries. From the whole country we find that industrial specialization (MAR externality) has a significantly positive effect on industrial TFP, while industrial diversity (Jacbos externality) and local competition (Porter externality) both don't have significantly effect. Further analysis in the robustness check indicates that the effects of knowledge spillovers on industrial TFP depends on types of industry and the dimension of geographic location.
出处
《中央财经大学学报》
CSSCI
北大核心
2013年第4期56-62,共7页
Journal of Central University of Finance & Economics