干中学与中国工业企业全要素生产率-西方经济学专业论文.docxVIP

Abstract This paper investigates the impact of learning-by-doing on firms’ total factor productivity(TFP) using Chinese manufacturing firm-level data from 1998 to 2007. For this purpose, firms TFP is calculated by adopting the Olley-Pakes(1996) semi-parametric methodology to correct the simultaneous bias from reverse causality and the selection bias from firms’ exit. After controlling the endogeneity issue between firms’ accumulated added value and TFP using instrumental variable method, learning-by-doing is found to significantly boost the firms’ TFP. Moreover, on average, TFP of firms from east, middle and west China increases in turn, their learning-by-doing effects decrease in turn; on average, export-oriented firms TFP are higher than non-export-oriented firms; their learning-by-doing effects decrease in turn. This implies that the lower TFP firms are catching up with the higher TFP firms, which can be explained by the differences of gap with frontier of technology among different kinds of firms. Such findings are relatively robust to different econometric methods. Key words: Learning by Doing ;Total Factor Productivity JEL Classification: L60，O30，O40 II 目 录 摘 要I HYPERLINK \l _bookmark0 Abstract II HYPERLINK \l _bookmark1 目 录III HYPERLINK \l _bookmark2 第 1 章 引言1 HYPERLINK \l _bookmark3 1.1 研究背景与研究意义 1 HYPERLINK \l _bookmark4 1.2 研究方法 2 HYPERLINK \l _bookmark5 1.3 创新与不足之处 2 HYPERLINK \l _bookmark6 1.4 本文的结构安排 2 HYPERLINK \l _bookmark7 第 2 章 文献述评4 HYPERLINK \l _bookmark8 2.1 全要素生产率的决定因素 4 HYPERLINK \l _bookmark9 2.2 干中学理论 5 HYPERLINK \l _bookmark10 2.3 本章小结 7 HYPERLINK \l _bookmark11 第 3 章 经验事实、理论假说与计量经济学模型的设定8 HYPERLINK \l _bookmark12 3.1 经验事实 8 HYPERLINK \l _bookmark13 3.2 两个待检验的假说 10 HYPERLINK \l _bookmark14 3.3 计量经济学模型的设定 11 HYPERLINK \l _bookmark15 3.4 本章小结 13 HYPERLINK \l _bookmark16 第 4 章 数据说明与全要素生产率的估计14 HYPERLINK \l _bookmark17 4.1 数据来源与处理说明 14 HYPERLINK \l _bookmark18 4.2 变量的相关性分析 16 HYPERLINK \l _bookmark19 4.3 全要素生产率的估计 1