中國對美國直接投資逆向技術(shù)溢出效應的影響因素分析
[Abstract]:China's foreign direct investment (OFDI) has been growing rapidly in the past ten years. In 2011, the national FDI flow reached US $74.65 billion, with an average annual growth rate of 44.6% in the past ten years. In 2011, the national stock of foreign direct investment reached $424.78 billion, of which the stock of direct investment in the United States was $6.685 billion. Chinese direct investment in the United States has also grown rapidly over the past decade, rising from $65 million in 2003 to $1.811 billion in 2011, an increase of 2,686.15; The stock increased from US $502 million in 2003 to US $6.685 billion in 2011, an increase of 1231.67.The investment is mainly concentrated in the manufacturing industry and accounts for a small proportion of China's total outward investment, and is dominated by resource-acquisition investment. In recent years, technology acquisition as the goal of direct investment in the United States has only just begun, but the growth rate is very fast 1. 5%. The United States is the largest developed country in the world and holds the world's most advanced technology. If China can increase the proportion of technology acquisition investment in the United States, the reverse technology spillover will increase accordingly. This paper analyzes the influencing factors of reverse technology spillover of China's direct investment in the United States through empirical analysis, and provides theoretical support for China's direct investment in the United States. The empirical analysis of this paper finally obtained the expected results. Using time series data, this paper focuses on six factors, such as China's RD expenditure, China and the United States' human capital, the degree of information technology between China and the United States, and the number of US patent applications, which have a significant impact on the reverse technology spillover of China's direct investment in the United States. Due to the existence of multiple collinearity among economic variables, the partial least square regression analysis method is used to establish a regression model in this paper. The regression results show that, except for the negative correlation between Chinese human capital and technology spillover, the other variables have a positive correlation with reverse technology spillover. The Chinese RD expenditure, the degree of informatization in China, American human capital has the strongest ability to explain reverse technology spillover, which indicates that these three factors affect the effect of reverse technology spillover of Chinese direct investment to the United States. Therefore, the policy recommendations of this paper are to increase China's RD expenditure, speed up the construction of China's informatization and make full use of the advantages of American human capital by Chinese multinationals.
【學位授予單位】:山東大學
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:F832.6;F837.12;F752.67;F224
【參考文獻】
相關(guān)期刊論文 前10條
1 張海波;俞佳根;;對外直接投資對母國的逆向技術(shù)溢出效應——基于東亞新興經(jīng)濟體的實證研究[J];財經(jīng)論叢;2012年01期
2 林青;陳湛勻;;中國技術(shù)尋求型跨國投資戰(zhàn)略:理論與實證研究——基于主要10個國家FDI反向溢出效應模型的測度[J];財經(jīng)研究;2008年06期
3 王耀中;劉舜佳;;基于后向關(guān)聯(lián)渠道的技術(shù)外溢及其影響因素的實證研究[J];財經(jīng)理論與實踐;2008年04期
4 王耀中;陳潔;張陽;;國際技術(shù)溢出、自主創(chuàng)新與服務業(yè)發(fā)展——基于長三角面板VAR模型的研究[J];財經(jīng)理論與實踐;2011年05期
5 馮永琦;;美國經(jīng)濟波動影響中國經(jīng)濟的國際傳導機制分析[J];財貿(mào)研究;2010年06期
6 王秋菲;李凱;許波;;產(chǎn)業(yè)結(jié)構(gòu)、技術(shù)溢出與上下游廠商合作創(chuàng)新決策[J];東北大學學報(自然科學版);2007年05期
7 黃凌云,蒲勇健;北美和日本對中國物化技術(shù)溢出的有效性對比[J];重慶大學學報(自然科學版);2002年11期
8 黃凌云;范艷霞;許林;;國際貿(mào)易與FDI的技術(shù)溢出[J];重慶大學學報(自然科學版);2007年12期
9 王春曉;;中國對外直接投資與對外貿(mào)易關(guān)系的實證研究——基于美國、中國香港、越南的合成數(shù)據(jù)回歸分析[J];改革與戰(zhàn)略;2008年12期
10 江心英;陳麗珍;;外國直接投資技術(shù)外溢理論研究綜述[J];國際貿(mào)易問題;2006年06期
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