山东省与广东省FDI技术溢出效应对比研究
发布时间：2018-08-04 14:04
【摘要】：FDI是国际资本进行流动的一种非常重要的形式。FDI可以使资本从一个国家转向另一个国家,还可以带动技术等进行转移。经过国内外学者的研究,FDI的技术溢出效应与东道国或地区的经济发展之间存在着密切的联系。发展中国家或地区要想通过利用外资实现经济的迅速增长,最直接的方法就是有效的吸取FDI的技术溢出效应。广东省是我国最早引进FDI的省份,并且位于珠江三角洲,后者是我国吸引外资最多的地区,可以看到,自对外开放以来,广东省在引进外商直接投资和利用外商直接投资方面获得了瞩目的成绩,因此,FDI成为广东省经济增长的一大推动力。山东省也是我国吸引FDI较多的省份之一,但在利用外商直接投资方面山东省与广东省还有较大差距,本文通过对两省利用FDI情况以及FDI技术溢出效应的对比,分析两省在利用FDI上的优劣势,继而探讨了如何提高山东省的技术溢出效应。同时,本文通过对两省FDI技术溢出效应的对比,希望建立一个系统的对比研究的理论框架,为研究我国FDI技术溢出效应的区域差异提供一个参考。本文将山东省和广东省在利用FDI方面的一系列特点进行了多角度的全面对比,从两省吸引FDI的总体规模、FDI来源地、FDI的方式以及FDI的产业分布等方面来比较两省的不同,总结两省在吸引外资上差距的原因。然后利用以数据包络分析法(Data Envelopment Analysis,DEA)为基础的Mamlquist指数方法测算了山东省和广东省的全要素生产率(TFP),得到山东省和广东省2000年至2014年间的Mamlquist指数及其分解表;在测算两省全要素生产率的基础上,分别从两省的FDI来源结构和产业结构方面对它们的技术溢出效应进行实证分析,以TFP作为被解释变量,以吸引的FDI状况作为解释变量,整理时间序列面板数据,利用Eviews6.0进行OLS回归分析,通过回归结果观察TFP与FDI流入情况之间的线性关系,分析FDI流入状况对当地全要素生产率的影响,比较两省技术溢出效应的大小,根据分析结果找到山东省在利用FDI方面相对落后的原因。通过实证分析发现,FDI的流入与两省全要素生产率整体存在较显著的正相关关系,说明吸引的外资会提高当地的全要素生产率,进而促进经济的增长。但山东省利用FDI的技术溢出效应明显小于广东省,其原因主要是:山东省的FDI来源较集中,第三产业的发展滞后,企业创新能力不够。因此对山东省提出的主要政策建议有:扩大吸引FDI的规模,使FDI来源地多元化;引导FDI产业流向,使其向第一产业与第三产业倾斜;在教育和科研上的投入进一步加大力度,努力培养高科技人才,提高山东省本土企业的创新能力;提高山东省内市场的竞争程度,最大限度地促进跨国公司的技术转移和技术溢出。
[Abstract]:FDI is a very important form of international capital flow. There is a close relationship between the technology spillover effect of FDI and the economic development of host country or region. If developing countries or regions want to use foreign capital to achieve rapid economic growth, the most direct way is to absorb the technology spillover effect of FDI effectively. Guangdong Province is the first province in China to introduce FDI, and it is located in the Pearl River Delta. The latter is the region that attracts the most foreign investment in China. It can be seen that since the opening up to the outside world, Guangdong Province has made remarkable achievements in introducing foreign direct investment and utilizing foreign direct investment, so FDI has become a major driving force for Guangdong's economic growth. Shandong Province is also one of the provinces that attract more FDI in China, but there is still a big gap between Shandong Province and Guangdong Province in the utilization of foreign direct investment. This paper compares the utilization of FDI and the spillover effect of FDI technology between the two provinces. This paper analyzes the advantages and disadvantages of using FDI in the two provinces, and then discusses how to improve the technology spillover effect in Shandong Province. At the same time, by comparing the FDI spillover effects between the two provinces, this paper hopes to establish a theoretical framework for systematic comparative study, which provides a reference for studying the regional differences of FDI technology spillover effects in China. This paper makes a comprehensive comparison between Shandong Province and Guangdong Province in the use of a series of characteristics of FDI, and compares the differences between the two provinces in terms of the total scale of the two provinces' attracting FDI and the way in which FDI comes from the source and the industrial distribution of FDI, and so on. Summing up the difference between the two provinces in attracting foreign capital. Then the total factor productivity (TFP),) of Shandong Province and Guangdong Province is calculated by using the Mamlquist index method based on the data Envelopment Analysis (Data Envelopment Analysis DEA). The Mamlquist index and its decomposition table are obtained from 2000 to 2014 in Shandong Province and Guangdong Province. On the basis of measuring the total factor productivity (TFP) of the two provinces, this paper makes an empirical analysis of their technology spillover effects from the sources structure of FDI and the industrial structure of the two provinces, taking TFP as the explanatory variable and the attracted FDI as the explanatory variable. According to the time series panel data and OLS regression analysis with Eviews6.0, the linear relationship between TFP and FDI inflow is observed, and the influence of FDI inflow on local total factor productivity is analyzed. By comparing the size of technology spillover effect between the two provinces, the author finds out the reason why Shandong province lags behind in utilizing FDI. Through empirical analysis, it is found that there is a significant positive correlation between FDI inflow and the total factor productivity of the two provinces, which indicates that attracting foreign capital will increase the local total factor productivity and then promote the economic growth. However, the technology spillover effect of using FDI in Shandong Province is obviously smaller than that in Guangdong Province. The main reasons are that the FDI sources in Shandong Province are concentrated, the development of the tertiary industry is lagging behind, and the innovation ability of enterprises is not enough. Therefore, the main policy suggestions put forward to Shandong Province include: expanding the scale of attracting FDI, diversifying the origin of FDI, guiding the flow of FDI industry to the primary and tertiary industries, and increasing the investment in education and scientific research. We should train high-tech talents, improve the innovation ability of Shandong native enterprises, improve the competition degree of Shandong province's market, and promote the technology transfer and technology spillover of multinational corporations to the maximum extent.
【学位授予单位】：山东师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F832.6
本文编号：2164122
[Abstract]:FDI is a very important form of international capital flow. There is a close relationship between the technology spillover effect of FDI and the economic development of host country or region. If developing countries or regions want to use foreign capital to achieve rapid economic growth, the most direct way is to absorb the technology spillover effect of FDI effectively. Guangdong Province is the first province in China to introduce FDI, and it is located in the Pearl River Delta. The latter is the region that attracts the most foreign investment in China. It can be seen that since the opening up to the outside world, Guangdong Province has made remarkable achievements in introducing foreign direct investment and utilizing foreign direct investment, so FDI has become a major driving force for Guangdong's economic growth. Shandong Province is also one of the provinces that attract more FDI in China, but there is still a big gap between Shandong Province and Guangdong Province in the utilization of foreign direct investment. This paper compares the utilization of FDI and the spillover effect of FDI technology between the two provinces. This paper analyzes the advantages and disadvantages of using FDI in the two provinces, and then discusses how to improve the technology spillover effect in Shandong Province. At the same time, by comparing the FDI spillover effects between the two provinces, this paper hopes to establish a theoretical framework for systematic comparative study, which provides a reference for studying the regional differences of FDI technology spillover effects in China. This paper makes a comprehensive comparison between Shandong Province and Guangdong Province in the use of a series of characteristics of FDI, and compares the differences between the two provinces in terms of the total scale of the two provinces' attracting FDI and the way in which FDI comes from the source and the industrial distribution of FDI, and so on. Summing up the difference between the two provinces in attracting foreign capital. Then the total factor productivity (TFP),) of Shandong Province and Guangdong Province is calculated by using the Mamlquist index method based on the data Envelopment Analysis (Data Envelopment Analysis DEA). The Mamlquist index and its decomposition table are obtained from 2000 to 2014 in Shandong Province and Guangdong Province. On the basis of measuring the total factor productivity (TFP) of the two provinces, this paper makes an empirical analysis of their technology spillover effects from the sources structure of FDI and the industrial structure of the two provinces, taking TFP as the explanatory variable and the attracted FDI as the explanatory variable. According to the time series panel data and OLS regression analysis with Eviews6.0, the linear relationship between TFP and FDI inflow is observed, and the influence of FDI inflow on local total factor productivity is analyzed. By comparing the size of technology spillover effect between the two provinces, the author finds out the reason why Shandong province lags behind in utilizing FDI. Through empirical analysis, it is found that there is a significant positive correlation between FDI inflow and the total factor productivity of the two provinces, which indicates that attracting foreign capital will increase the local total factor productivity and then promote the economic growth. However, the technology spillover effect of using FDI in Shandong Province is obviously smaller than that in Guangdong Province. The main reasons are that the FDI sources in Shandong Province are concentrated, the development of the tertiary industry is lagging behind, and the innovation ability of enterprises is not enough. Therefore, the main policy suggestions put forward to Shandong Province include: expanding the scale of attracting FDI, diversifying the origin of FDI, guiding the flow of FDI industry to the primary and tertiary industries, and increasing the investment in education and scientific research. We should train high-tech talents, improve the innovation ability of Shandong native enterprises, improve the competition degree of Shandong province's market, and promote the technology transfer and technology spillover of multinational corporations to the maximum extent.
【学位授予单位】：山东师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F832.6
【参考文献】
相关期刊论文 前10条
1 徐淑红;;农村基础设施投资资本存量测算[J];系统管理学报;2010年02期
2 刘凤朝;沈能;;外国直接投资对我国制造业技术溢出的渠道研究[J];国际贸易问题;2007年03期
3 陈自芳;;外商直接投资对内资竞争力的影响与区域投资环境——以浙江为例的探讨[J];社会科学;2006年06期
4 陈涛涛;陈娇;;行业增长因素与我国FDI行业内溢出效应[J];经济研究;2006年06期
5 傅强;周克红;;我国三大经济圈外国直接投资的差异性分析与结构转换效应评价[J];世界经济研究;2006年03期
6 陈自芳;提升FDI外溢效应及引进外资质量的定量化探索[J];学术研究;2005年10期
7 蒋殿春,夏良科;外商直接投资对中国高技术产业技术创新作用的经验分析[J];世界经济;2005年08期
8 孙雅娜;外商直接投资、技术外溢与中国经济增长[J];当代经济管理;2005年03期
9 马衍军,柳成洋;外国直接投资的溢出效应及其制约因素研究[J];当代经济研究;2005年05期
10 董新玲,仲亚伟;山东省经济增长与外国直接投资之间的实证分析[J];价值工程;2005年05期
相关硕士学位论文 前2条
1 马驰;FDI与全要素生产率[D];浙江大学;2012年
2 周晓真;FDI技术外溢机制及影响因素的实证分析[D];浙江大学;2009年
，本文编号：2164122
本文链接：https://www.wllwen.com/jingjilunwen/huobiyinxinglunwen/2164122.html
