美国对华直接投资影响因素探究—基于行业数据的灰色关联度分析
发布时间：2018-07-29 18:13
【摘要】：引进外资是国家发展经济的重要途径之一。无论是像美国、欧盟、日本这样的发达经济体还是像印度、东盟等新兴经济体,FDI在这些国家的经济发展中都起到了巨大的作用。自改革开放以来,我国引进外资的力度逐年加大,实际利用外资金额从1983年的66.4亿元增长到2012年的1133亿美元。有关学者曾经测算我国FDI每增长1个百分点带动GDP增长0.38个百分点。美国是世界上最发达的国家,美资企业在中国投入了大量的资金,对中国经济的增长产生了积极的影响。但是美国对华投资比重一直不大。本文以美国对华直接投资作为研究对象,从行业的角度分析哪些因素对其产生了影响,探寻其中的规律。统计数据显示现阶段无论从母国还是东道国的角度,美国在华投资虽然绝对金额巨大,比重一直较低。这同美国世界第一大经济体和中国世界第二大经济体的地位不符。美国对华直接投资具有很大的上升空间。研究美国不同行业对中国直接投资的影响因素,不仅能够丰富相关的国际直接投资理论;而且还能够对中国政府相关部门的决策提供理论与实证的研究参考,以制定合适有效的政策来吸收并引导更多的美国跨国企业来中国大陆地区投资,进而推动中国经济的发展与技术的进步。论文总体思路是在借鉴国内外FDI理论的研究基础上,通过对美国在华直接投资情况按照不同行业进行分析和归纳,利用灰色关联分析对影响美国跨国公司对华直接投资的决定因素作一些探讨,并在此基础上对如何吸引更多的美资为中国经济的发展服务提出一些建议,具有重要的实践意义。本文创新之处在于第一考虑到不同行业的特性采取按照行业分类的办法更加科学的分析影响不同行业的因素,第二目前广泛应用的趋势分析、多变量线性回归模型等分析的办法,存在种种弊端,本文利用灰色关联分析可以较好的克服传统方法的不足,形成更加科学可靠的结论,第三将当前美国不同行业对华直接投资影响因素同之前因素进行纵向比较,试图探寻不同时期影响因素的变化规律。本文发现除采掘业外,市场因素和教育因素对制造业、商业批发、信息与科技产业都有较大影响。制造业还受到基础设施的影响。采掘业则主要和成本及制度因素有关。成本因素和汇率因素的影响程度降低。
[Abstract]:The introduction of foreign capital is one of the important ways for the country to develop its economy. Both advanced economies such as the United States, the European Union, Japan and emerging economies such as India and ASEAN have played a significant role in their economic development. Since the reform and opening up, China has increased the intensity of introducing foreign capital year by year, the actual amount of foreign capital utilization has increased from 6.64 billion yuan in 1983 to 113.3 billion dollars in 2012. Some scholars have estimated that China's FDI growth per 1 percentage point led to GDP growth of 0.38 percentage points. The United States is the most developed country in the world. American enterprises have invested a lot of funds in China, which has a positive impact on China's economic growth. But U. S. investment in China has been small. This paper takes American direct investment in China as the object of study, analyzes which factors influence it from the angle of industry, and probes into the law of it. Statistics show that at this stage, although the absolute amount of US investment in China is huge, the proportion of US investment in China has been relatively low, whether from the perspective of home country or host country. This does not match the position of the United States as the world's largest economy and China as the world's second largest economy. Us direct investment in China has a lot of room for growth. To study the influence factors of American different industries on China's direct investment can not only enrich the relevant theories of international direct investment, but also provide theoretical and empirical reference for the decision of relevant departments of Chinese government. To formulate appropriate and effective policies to absorb and guide more American multinational enterprises to invest in mainland China, thus promoting the development of China's economy and technological progress. The overall idea of this paper is to analyze and sum up the situation of American direct investment in China according to different industries on the basis of the study of FDI theory at home and abroad. This paper discusses the determinants of American transnational corporations' direct investment in China by using grey relational analysis, and puts forward some suggestions on how to attract more American capital to serve the development of Chinese economy on this basis, which is of great practical significance. The innovation of this paper lies in the fact that, first, considering the characteristics of different industries and adopting a more scientific analysis of the factors affecting different industries, the second is the trend analysis, which is widely used at present. There are many disadvantages in the methods of multivariate linear regression analysis. The grey correlation analysis can overcome the shortcomings of traditional methods and form a more scientific and reliable conclusion. Thirdly, the influence factors of American direct investment in China in different industries are compared vertically with the previous factors in order to explore the changing law of influencing factors in different periods. In addition to extractive industry, market and education factors have great influence on manufacturing, commercial wholesale, information and science and technology industry. Manufacturing is also affected by infrastructure. The extractive industry is mainly related to cost and institutional factors. The cost factor and the exchange rate factor influence degree to reduce.
【学位授予单位】：中南民族大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F832.6
，
本文编号：2153578
[Abstract]:The introduction of foreign capital is one of the important ways for the country to develop its economy. Both advanced economies such as the United States, the European Union, Japan and emerging economies such as India and ASEAN have played a significant role in their economic development. Since the reform and opening up, China has increased the intensity of introducing foreign capital year by year, the actual amount of foreign capital utilization has increased from 6.64 billion yuan in 1983 to 113.3 billion dollars in 2012. Some scholars have estimated that China's FDI growth per 1 percentage point led to GDP growth of 0.38 percentage points. The United States is the most developed country in the world. American enterprises have invested a lot of funds in China, which has a positive impact on China's economic growth. But U. S. investment in China has been small. This paper takes American direct investment in China as the object of study, analyzes which factors influence it from the angle of industry, and probes into the law of it. Statistics show that at this stage, although the absolute amount of US investment in China is huge, the proportion of US investment in China has been relatively low, whether from the perspective of home country or host country. This does not match the position of the United States as the world's largest economy and China as the world's second largest economy. Us direct investment in China has a lot of room for growth. To study the influence factors of American different industries on China's direct investment can not only enrich the relevant theories of international direct investment, but also provide theoretical and empirical reference for the decision of relevant departments of Chinese government. To formulate appropriate and effective policies to absorb and guide more American multinational enterprises to invest in mainland China, thus promoting the development of China's economy and technological progress. The overall idea of this paper is to analyze and sum up the situation of American direct investment in China according to different industries on the basis of the study of FDI theory at home and abroad. This paper discusses the determinants of American transnational corporations' direct investment in China by using grey relational analysis, and puts forward some suggestions on how to attract more American capital to serve the development of Chinese economy on this basis, which is of great practical significance. The innovation of this paper lies in the fact that, first, considering the characteristics of different industries and adopting a more scientific analysis of the factors affecting different industries, the second is the trend analysis, which is widely used at present. There are many disadvantages in the methods of multivariate linear regression analysis. The grey correlation analysis can overcome the shortcomings of traditional methods and form a more scientific and reliable conclusion. Thirdly, the influence factors of American direct investment in China in different industries are compared vertically with the previous factors in order to explore the changing law of influencing factors in different periods. In addition to extractive industry, market and education factors have great influence on manufacturing, commercial wholesale, information and science and technology industry. Manufacturing is also affected by infrastructure. The extractive industry is mainly related to cost and institutional factors. The cost factor and the exchange rate factor influence degree to reduce.
【学位授予单位】：中南民族大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F832.6
，
本文编号：2153578
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