我国服务业FDI溢出效应的影响因素研究

发布时间：2018-06-29 09:05

本文选题：服务业FDI + 溢出效应　；参考：《湘潭大学》2017年硕士论文

【摘要】：自20世纪八九十年代以来,伴随着全球产业结构调整,服务业得到了快速发展,服务业贸易进程也不断加速,该行业已经成为各国对外直接投资的主要领域。2011年,我国服务业实际利用外资数量首次超过了制造业。这说明服务业在我国吸收外资的地位日益凸显。然而,大部分关于FDI溢出效应的研究依然是围绕着制造业方面,因此增加对服务业领域溢出效应的研究显得十分必要。首先,文章对我国服务业FDI的现状进行了图表描述与分析,表明当前的服务业FDI增长速度明显快于制造业FDI。随后,对服务业FDI溢出效应的机理并筛选了其影响因素进行了详细的分析。然后,在理论分析的基础之上,通过选取2005至2014年,23个省(市、自治区)的服务业FDI的相关数据,利用stata12.0统计分析软件进行实证分析,以此来巩固理论部分分析。在建立的计量模型中,采用索洛余值法估算全要素生产率,以此来衡量FDI的溢出效应,并将其作为因变量,用FDI与各因素的交互项作为自变量来考察FDI溢出效应的影响因素。在实证过程中,为了保证回归结果的可靠性,利用单位根检验进行了数据平稳性检验。随后又进行了Hausman检验,其结果表明应该选择建立固定效应模型,因此利用固定效应对我国服务业FDI溢出效应的影响因素进行了面板回归。其回归结果中除法治水平结果不显著外,其他影响因素的结果都较为显著,且与理论分析的猜想吻合。结合理论分析与实证的结果可以得出结论:人力资本、金融市场率、市场开放度、服务业发展水平、资本密集度对FDI溢出效应有正向积极的作用。最后,为了我国能更好的利用服务业FDI,吸收更多的溢出效应提出了一些政策建议,希望能够为我国服务业的健康发展和产业政策的制定提供些许帮助。以往FDI溢出效应研究主要围绕制造业展开,本文则从服务业FDI的角度出发,研究其溢出效应的影响因素。在借鉴制造业FDI溢出效应的基础上,结合服务业的特性,分析了服务业FDI溢出效应传导机制,并选用最新数据进行实证分析。
[Abstract]:Since the 1980s and 1990s, with the adjustment of the global industrial structure, the service industry has been developing rapidly and the process of trade in the service industry has been accelerating. This industry has become the main field of foreign direct investment of all countries. In 2011, For the first time, the amount of foreign capital actually utilized in China's service industry exceeded that of manufacturing industry. This shows that the service industry in China to absorb foreign capital status is increasingly prominent. However, most of the researches on FDI spillover effect are still focused on the manufacturing sector, so it is necessary to increase the research on the spillover effect in the field of service industry. First of all, the paper describes and analyzes the current situation of FDI in China's service industry, which shows that the growth rate of FDI in service industry is obviously faster than that of FDI in manufacturing industry. Then, the mechanism of FDI spillover effect in service industry is analyzed in detail. Then, on the basis of theoretical analysis, through selecting the relevant data of service industry FDI in 23 provinces (cities and autonomous regions) from 2005 to 2014, we use the stata12.0 statistical analysis software to carry out empirical analysis, so as to consolidate the theoretical part of the analysis. In the established econometric model, the total factor productivity (TFP) is estimated by using Solow residual value method to measure the spillover effect of FDI, which is regarded as the dependent variable and the interaction between FDI and various factors as the independent variable to investigate the influencing factors of FDI spillover effect. In order to ensure the reliability of regression results, the unit root test is used to test the data smoothness. Then Hausman test is carried out. The results show that fixed effect model should be established, so the factors influencing FDI spillover effect of service industry in China are analyzed by panel regression. In the regression results, except the level of rule of law results are not significant, the results of other influencing factors are more significant, and agree with the theoretical analysis of the conjecture. Combined with the theoretical analysis and empirical results, we can draw a conclusion: human capital, financial market rate, market openness, service industry development level, capital intensity has a positive effect on FDI spillover effect. Finally, in order to make better use of FDI in service industry and absorb more spillover effects, some policy suggestions are put forward, hoping to provide some help for the healthy development of our service industry and the formulation of industrial policy. In the past, the research of FDI spillover effect mainly focused on manufacturing industry, and this paper studied the influencing factors of FDI spillover effect from the point of view of service FDI. Based on the spillover effects of manufacturing FDI and the characteristics of the service industry, this paper analyzes the transmission mechanism of FDI spillover effects in the service industry, and selects the latest data for empirical analysis.
【学位授予单位】：湘潭大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F832.6;F719

【参考文献】