本文通过非参数DEA-Malmquist指数法估算了2003~2012年间长三角20个制造业行业的全要素生产率(TFP),并借鉴EG和MS的分类,将Malmquist指数分解为技术进步指数和技术效率指数,分析不同集聚程度行业对它们的影响及其变化趋势,在此基础上借用Arellano和Bond的动态面板模型,验证技术进步和技术效率指数在TFP增长过程中的贡献。实证结果表明:制造业集聚一定程度上促进了整体TFP的提高,但主要是通过促进技术进步(并非促进技术效率改进)进而产生影响。各细分行业TFP增长率存在较大差异,中低度集聚行业的TFP的增长率大于高度集聚行业,并且随着时间推移,高集聚度行业TFP增长率逐渐下降。而且,技术进步和技术创新将是长三角制造业TFP增长的重要推动力。
Industrial agglomeration playing an important role in promoting TFP has reached a consensus,but there is debate on the mechanism of action of different industries and regional levels. This paper estimates by non-parametric DEA-Malmquist TFP index method of the Yangtze River Delta,20 manufacturing industries from 2003 to 2012,and learns from EG and MS classification,and the Malmquist index is decomposed into technological progress and technical efficiency index,analysis of different clustering the extent of their impact on the industry,on the basis of the aid Arellano and Bond dynamic panel model to verify the contribution of technological progress and technical efficiency index index in TFP growth process. The empirical results show that: the Yangtze River Delta manufacturing cluster to some extent contributed to improving the overall TFP,but mainly through the impact of technological advances to improve TFP,rather than to promote technical efficiency occurred. There is a big difference between the various sub-sectors in TFP growth: the growth rate in the low-concentration industry TFP concentration is greater than the height of the industry,and over time,the high concentration of industry growth rate of TFP declines. Technology innovation and technological progress will be an important driver of the Yangtze River Delta manufacturing TFP growth.