内资BOT项目融资模式的风险研究

发布时间：2018-12-25 08:02

【摘要】：随着我国经济的快速增长和城镇化速度的加快，基础建设完全依赖国家财政支出已经完全不能满足目前我国经济发展的要求，并且基础设施项目建设周期长、投资大、风险高，一般的融资模式难以满足基础设施建设巨大的资金需求。因此，适时适当的引入新的融资模式将为我国经济的发展起到推波助澜的作用。在这种形势之下，BOT项目融资在我国基础设施建设中的应用越来越受到我国政府和相关投资者的重视。而内资BOT项目融资与传统的外资BOT项目融资模式相比较拥有较多的优势。随着我国基础设施建设领域对民间资本的逐渐开放，完全由国内民间资本投资的以BOT项目融资模式开发的项目也日渐增多。在此背景下，本文对内资BOT项目融资的风险进行研究，系统进行了内资BOT项目融资过程中的关键风险因素的识别、评价并进行相应处置，为内资BOT项目融资的各方参与者提供一定参考。第一章绪言，阐述了本文的研究背景，选题依据以及本文的研究目的和意义，确定研究的内容和思路。一是对内资BOT项目融资的应用进行总体认识；二是识别内资BOT项目融资的风险因素；三是对内资BOT项目融资的风险因素进行评价，确定关键的风险因素并排序；四是对风险因素做出相应的风险处置建议。第二章详细的介绍了国内外BOT项目融资模式的发展及现状，对比BOT项目融资模式在发达国家与发展中国家之间以及我国与其他国家的不同发展历程和发展现状。分析了目前我国BOT项目融资模式发展的部分问题。第三章对内资BOT项目融资风险进行介绍，，阐述了风险、BOT项目融资和内资BOT项目融资的部分定义。着重介绍了与外资BOT项目融资模式相比，内资BOT项目融资在我国发展的优势。第四章是本文的核心部分之一，系统的介绍了内资BOT项目融资的风险识别，重点确定风险识别和风险识别的具体步骤和方法，最后得出内资BOT项目融资风险识别的总体思路。第五章是本文的另一重点，详细的介绍了风险量化评价的相关方法并选择层次分析法对内资BOT项目融资的风险识别中识别的风险因素进行量化，确定权重排序并选择出最关键的部分风险因素。第六章结合前文的结果与结论，对内资BOT项目融资风险的处置给出了相关建议，并提出应对风险的对策。阐述了BP神经网络模型的概念并运用到风险预警机制的建立中。第七章是本文的结论部分，总结了本文的研究结论，并对研究过程中存在的不足和以后需要进一步的研究看法进行阐述。
[Abstract]:With the rapid growth of our economy and the acceleration of urbanization, the infrastructure construction has completely depended on the national financial expenditure to meet the requirements of the current economic development of our country, and the construction cycle of infrastructure projects is long, the investment is large, and the risk is high. General financing model is difficult to meet the huge capital needs of infrastructure construction. Therefore, timely and appropriate introduction of new financing model will contribute to the development of our economy. In this situation, the application of BOT project financing in infrastructure construction has been paid more and more attention by our government and related investors. Compared with the traditional BOT project financing mode, domestic BOT project financing has more advantages. With the gradual opening of the field of infrastructure construction to private capital in China, the number of projects developed by BOT project financing mode is also increasing day by day. Under this background, this paper studies the risk of domestic BOT project financing, systematically identifies the key risk factors in the process of domestic BOT project financing, evaluates and deals with them accordingly. For the financing of domestic BOT project participants to provide a certain reference. The first chapter introduces the research background, the basis of the topic, the purpose and significance of this paper, and determines the content and thinking of the study. One is the general understanding of the application of domestic BOT project financing, the other is the identification of domestic BOT project financing risk factors, the third is to evaluate the domestic BOT project financing risk factors, determine the key risk factors and ranking; The fourth is to make the corresponding risk factors to deal with the recommendations. The second chapter introduces the development and current situation of BOT project financing mode at home and abroad, and compares the different development process and current situation of BOT project financing mode between developed and developing countries and between our country and other countries. This paper analyzes some problems in the development of BOT project financing mode in China. The third chapter introduces the domestic BOT project financing risk, expounds some definitions of risk, BOT project financing and domestic BOT project financing. This paper mainly introduces the advantages of domestic BOT project financing in China compared with foreign BOT project financing mode. The fourth chapter is one of the core parts of this paper. It systematically introduces the risk identification of domestic BOT project financing, and determines the specific steps and methods of risk identification and risk identification. Finally, the overall idea of domestic BOT project financing risk identification is obtained. The fifth chapter is another important point of this paper. It introduces the relevant methods of risk quantification evaluation in detail and chooses AHP to quantify the risk factors identified in the risk identification of domestic BOT project financing. Determine the weight order and select the most critical part of the risk factors. In the sixth chapter, combining the results and conclusions above, the author gives some suggestions on how to deal with the financing risk of domestic BOT project, and puts forward some countermeasures to deal with the risk. This paper expounds the concept of BP neural network model and applies it to the establishment of risk warning mechanism. The seventh chapter is the conclusion of this paper, summarizes the conclusions of this paper, and the shortcomings of the research process and the need for further research views.
【学位授予单位】：重庆工商大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F283

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