FDI对广东省制造业全要素生产率增长的影响研究

发布时间：2018-03-25 07:48

本文选题：FDI　切入点：数据包络分析　出处：《暨南大学》2014年博士论文

【摘要】：随着经济全球化的发展，资本在国家之间流动的规模越来越大。对于发展中国家来说，吸引外资可以弥补经济发展过程中的资金不足，并进一步有可能促进东道国国内企业技术水平的提高。外商直接投资（FDI）对东道国的溢出作用从很早就受到了学者的关注，中国作为FDI的流入大国，FDI对中国的相关产业是否有溢出效应以及如何影响相关的产业自然也受到了广泛关注。为了检验外商直接投资是否对中国制造业的全要素生产率产生了影响以及如何影响，本文以广东省制造业为研究对象，从行业内和行业间两个层面研究了FDI的溢出效应，，并将其和广东省内资制造业全要素生产率的变化进行了实证分析。对于全要素生产率的计算，本文采用数据包络分析法（Data Envelopment Analysis,DEA）测算了广东省制造业2000-2012年间的Mamlquist指数，并将其分解为技术进步和效率变化。对于行业内溢出和行业间溢出，分别从水平关联、前向关联以及后向关联三个方向加以考察，利用面板数据模型对FDI溢出效应和内资制造业全要素生产率变化进行实证分析。本文还从技术差异程度、市场竞争程度、市场导向类型以及资本密集程度分析了不同行业特征对FDI溢出效应的影响，文章最后提出了相应的政策和建议。本文的主要结论有：第一，2000-2012年广东省制造业全行业的全要素生产率呈现出稳定快速增长的趋势，内资制造业的增长速度快于外资；第二，水平效应和后向关联效应显著促进了内资制造业全要素生产率的增长，而前向关联效应对内资制造业全要素生产率增长的影响不显著；第三，技术差距过大不利于FDI的溢出效应，激烈的竞争有助于FDI的行业内溢出，内销导向型FDI会显著地促进上游制造业全要素生产率的增长，资本密集度低的行业中，FDI促进了下游内资制造业全要素生产率的增长。
[Abstract]:With the development of economic globalization, capital flows from country to country on an increasingly large scale. For developing countries, attracting foreign capital can make up for the lack of funds in the process of economic development. It is also possible to further promote the technological level of domestic enterprises in the host country. The spillover effect of foreign direct investment (FDI) on the host country has been concerned by scholars from a long time ago. Whether China, as a big country of FDI inflow, has spillover effects on China's related industries and how to affect related industries have naturally received extensive attention. In order to test whether foreign direct investment (FDI) plays an important role in China's manufacturing industry, it has been paid more and more attention. Productivity has had an impact and how, This paper takes Guangdong manufacturing industry as the research object, studies the spillover effect of FDI from both intra-industry and inter-industry levels, and empirically analyzes the change of total factor productivity (TFP) of domestic manufacturing industry in Guangdong Province. For the calculation of total factor productivity, this paper uses data Envelopment Analysis (DEA) to calculate the Mamlquist index of Guangdong manufacturing industry from 2000 to 2012, and decomposes it into technological progress and efficiency change. From three aspects of horizontal correlation, forward correlation and backward correlation, this paper makes empirical analysis of FDI spillover effect and total factor productivity change of domestic manufacturing industry by using panel data model. The degree of market competition, the type of market orientation and the degree of capital concentration are analyzed to analyze the influence of different industry characteristics on FDI spillover effect. Finally, the corresponding policies and suggestions are put forward. The main conclusions of this paper are as follows: first, from 2000 to 2012, the total factor productivity of the whole manufacturing industry in Guangdong Province showed a steady and rapid growth trend, and the growth rate of domestic manufacturing industry was faster than that of foreign investment; second, The horizontal effect and backward correlation effect significantly promote the growth of total factor productivity of domestic manufacturing industry, but the effect of forward correlation effect on the growth of total factor productivity of domestic manufacturing industry is not significant. Third, The technology gap is not conducive to the spillover effect of FDI, the fierce competition is conducive to the intra-industry spillover of FDI, and the domestic market-oriented FDI will significantly promote the growth of total factor productivity (TFP) in upstream manufacturing industry. FDI promotes the growth of total factor productivity (TFP) of downstream domestic manufacturing industry in low capital intensive industries.
【学位授予单位】：暨南大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：F224;F427;F832.6

【参考文献】