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Study on China's Capital Market Segmentation under Fragmented Regulations

abstract: 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. / Dissertation/Thesis / Doctoral Dissertation Business Administration 2015

Identiferoai:union.ndltd.org:asu.edu/item:29792
Date January 2015
ContributorsJia, Shaojun (Author), Hwang, Yuhchang (Advisor), Chen, Hong (Committee member), Wahal, Sunil (Committee member), Arizona State University (Publisher)
Source SetsArizona State University
LanguageChinese
Detected LanguageEnglish
TypeDoctoral Dissertation
Format237 pages
Rightshttp://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved

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