中国企业在非洲对外直接投资的国别选择与进入路径研究

发布时间：2018-12-10 22:30

【摘要】：在经济全球化不断加深的今天,企业要取得更好的发展就必须着眼于国外市场。中国的经济相较于西方发达国家而言相对较落后,受此限制,所投资的海外市场大多贫穷落后,在历经了对东南亚国家和拉美的投资热后,近年来,中国企业将目光投向了非洲。但是,非洲一直以来就是冲突频发的地区,作为我国企业对外直接投资的热点地区,同时又是个社会相对不稳定的地区,如何在选择投资国和进入路径时规避这些“不稳定”带来的投资风险,提高效益也就是投资者所关心的问题。本文将BP人工神经网络引入对外直接投资的国别选择与进入路径选择的研究领域,利用BP网络,模拟大脑进行国别和进入路径的抉择。论文首先分析了国内外对对外直接投资,特别是对非洲直接投资的国别选择和进入路径选择的文献,并通文献法构建候选指标体系,再借助因子分析法筛选候选指标体系中的指标,得到影响中国企业对非洲直接投资的国别选择和进入路径选择的主要评价指标并分别构建了国别选择和进入路径的评价指标体系；根据指标体系构建了基于BP人工神经网络的中国对非洲直接投资国别选择和进入路径的模型；之后通过一个实例具体地分析了企业如何利用BP人工神经网络进行对外直接投资的国别选择和进入路径的抉择,并得出了该企业目前对非洲直接投资的最佳投资国和最佳进入路径。最后,本文从国家、企业两个层面给出了中国企业对非洲投资的建议,详细叙述了企业在对非洲进行直接投资前应注意的问题。
[Abstract]:With the deepening of economic globalization, enterprises must focus on foreign markets to achieve better development. China's economy is relatively backward compared to the developed countries in the West. Because of this restriction, most of the overseas markets in which it invests are poor and backward. In recent years, after a boom in Southeast Asian countries and Latin America, Chinese companies are looking to Africa. However, Africa has always been a region with frequent conflicts, as a hot spot for foreign direct investment by Chinese enterprises, and at the same time, it is also a region with relatively unstable society. How to avoid these "unstable" investment risks when choosing the investment country and entering path, and how to improve the benefit are the problems that investors are concerned about. In this paper, BP artificial neural network is introduced into the research field of country selection and entry path selection of FDI, and the BP network is used to simulate the brain choice between country and entry path. Firstly, the paper analyzes the literature on the choice of country and entry path of FDI, especially in Africa, and constructs the candidate index system by the method of literature. Then using factor analysis method to screen the indicators in the candidate index system, The main evaluation indexes of country selection and entry path selection of Chinese enterprises' direct investment in Africa are obtained and the evaluation index system of country selection and entry path is constructed respectively. According to the index system, the model of China's country selection and entry path of China's direct investment in Africa is constructed based on BP artificial neural network. Then it analyzes how to make use of BP artificial neural network to choose the countries and access paths of FDI through an example. The best investment country and the best entry path are obtained. Finally, this paper gives the suggestions of Chinese enterprises' investment in Africa from two aspects of state and enterprise, and describes in detail the problems that enterprises should pay attention to before they invest directly in Africa.
【学位授予单位】：湖南师范大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：F279.2;F832.6

【参考文献】