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The Chinese capital market is characterized by high segmentation due to governmental regulations. In this thesis I investigate both the causes and consequences of this market segmentations. Specifically, I address the following questions: (1) to which degree this capital market segmentation is caused by the fragmented regulations in China, (2)

The Chinese capital market is characterized by high segmentation due to governmental regulations. In this thesis I investigate both the causes and consequences of this market segmentations. Specifically, I address the following questions: (1) to which degree this capital market segmentation is caused by the fragmented regulations in China, (2) what are the key characteristics of this market segmentation, and (3) what are the impacts of this market segmentation on capital costs and resources allocations. Answers to these questions can have important implications for Chinese policy makers to improve capital market regulatory coordination and efficiency. I organize this thesis as follows. First, I define the concepts of capital market segmentation and fragmented regulation based on literature reviews and theoretical analysis. Next, on the basis of existing theories and methods in finance and economics, I select a number of indicators to systematically measure the degree of regulatory segmentation in China’s capital market. I then develop an econometric model of capital market frontier efficiency analysis to calculate and analyze China’s capital market segmentation and regulatory fragmentation. Lastly, I use the production function analysis technique and the even study method to examine the impacts of fragmented regulatory segmentation on the connections and price distortions in the equity, debt, and insurance markets. Findings of this thesis enhance the understanding of how institutional forces such as governmental regulations influence the function and efficiency of the capital markets.
ContributorsJia, Shaojun (Author) / Hwang, Yuhchang (Thesis advisor) / Chen, Hong (Committee member) / Wahal, Sunil (Committee member) / Arizona State University (Publisher)
Created2015
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Financing lease has bloomed as a new financing tool in China for the last several years. In this thesis I investigate the factors that influence China’s automobile financial leasing decisions by both lessors and lessees through market surveys. Based on Probit regression analysis of the data collected from 250 companies

Financing lease has bloomed as a new financing tool in China for the last several years. In this thesis I investigate the factors that influence China’s automobile financial leasing decisions by both lessors and lessees through market surveys. Based on Probit regression analysis of the data collected from 250 companies and 300 individuals, I find that a firm is more likely to use automobile financial leasing when its corporate tax rate is lower, growth potential is more stabilized, and profit is higher. It is also more likely to happen when a firm's long-term debt ratio and its degree of internationalization are higher. At the individual level, I find that the likelihood of individuals’ leasing decision is influenced by their risk preference, income level, and car price. Individuals’ gender, age and education level show no effect.

Using the analytic hierarchy process (AHP) analysis, I further find that financing costs, service value-added, and products diversity are the three most important competitive factors for the auto financial leasing service providers. This is the case for both the corporate and individual customers in the sample. By contrast, the factors of sales channel and government relationship are found to be much less important. Finally, through an in-depth case study of the leasing company Shanghai Auto Financial Leasing, I find that the key factors determining the customers’ credit default risk are interest rate and automobile type. I also investigate factors that influence business risk during the automobile procurement stage, at the selling stage, and toward the disposition stage. The managerial implications of the above results are discussed throughout the thesis.
ContributorsLin, Zhen, Ph.D (Author) / Zhang, Anming (Thesis advisor) / Pei, Ker-Wei (Thesis advisor) / Chen, Hong (Committee member) / Arizona State University (Publisher)
Created2015