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A Theoretical Analysis of Financial Agglomeration in China Based on Information Asymmetry

Author

Listed:
  • Che Xinwei

    (School of Business, Renmin University of China, Beijing100872, China)

  • Bu Hui

    (School of Economics and Management, Beihang University, Beijing100191, China)

  • Liu John J.

    (Centre for Transport, Trade and Financial Studies (CTTFS), College of Business, City University of Hong Kong, Hong Kong, China)

Abstract

The development of financial centers can illustrate continuous significance of geography. This paper regards financial services industry as a special kind of industry, and establishes a multi-region model to discuss the formation mechanism and equilibrium of finance agglomeration. Our findings suggest emergence of finance agglomeration depends on opportunity costs caused by information asymmetry, economies of scale, the share of financial services industry in economy and the amount of financial information. The results of numerical examples declare the same conclusions that effects of information asymmetry would push financials firms closer to an information source in order to find and interpret non-standardized information that a financial firm can use to make profit. And the agglomeration of real sector industry will enhance the agglomeration of finance. Finally, this paper puts forward a ratio, related with the opportunity costs, which could be regarded as a measure of whether the central area is an information center.

Suggested Citation

  • Che Xinwei & Bu Hui & Liu John J., 2014. "A Theoretical Analysis of Financial Agglomeration in China Based on Information Asymmetry," Journal of Systems Science and Information, De Gruyter, vol. 2(2), pages 111-129, April.
  • Handle: RePEc:bpj:jossai:v:2:y:2014:i:2:p:111-129:n:2
    DOI: 10.1515/JSSI-2014-0111
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    References listed on IDEAS

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    3. Zhao, Simon X.B. & Cai, Jianming & Zhang, Li, 2005. "Asymmetric information as a key determinant for locational choice of MNC headquarters and the development of financial centers: A case for China," China Economic Review, Elsevier, vol. 16(3), pages 308-331.
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