Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/210
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dc.contributor.advisorDow, Sheila C.-
dc.contributor.advisorGhosh, Dipak-
dc.contributor.authorMu, Yuan-
dc.date.accessioned2007-06-19T09:16:47Z-
dc.date.available2007-06-19T09:16:47Z-
dc.date.issued2007-05-
dc.identifier.urihttp://hdl.handle.net/1893/210-
dc.description.abstractThis thesis studies the Chinese banks’ credit risk assessment using the Post Keynesian approach. We argue that bank loans are the major financial sources in emerging economies and it is uncertainty, an unquantifiable risk, rather than asymmetric information about quantifiable risk, as held by the mainstream approach, which is most important for the risk attached to credit loans, and this uncertainty is particularly important in China. With the universal existence of uncertainty, borrowers and lenders have to make decisions based on convention and experience. With regard to the nature of decision-making, this implies the importance of qualitative methods rather than quantitative methods. The current striking problem in Chinese banking is the large amount of Non-Performing Loans (NPLs) and this research aims to address the NPLs through improving credit risk management. Rather than the previous literature where Western models are introduced into China directly or with minor modification, this work advocates building on China’s conventional domestic methods to deal with uncertainty. We briefly review the background of the Chinese banking history with an evolutionary view and examine Chinese conventions in the development of the credit market. Based on an overview of this history, it is argued that Soft Budget Constraints (SBC) and the underdeveloped risk-assessing mechanism contributed to the accumulation of NPLs. Informed by Western models and experience, we have made several suggestions about rebuilding the Chinese convention of credit risk assessment, based on an analysis of publications and interviews with Chinese bankers. We also suggest some further development of the Asset Management Companies (AMCs) which are used to dispose of the NPLs.en
dc.language.isoenen
dc.publisherUniversity of Stirlingen
dc.subjectCredit risken
dc.subjectChinese banken
dc.subjectNPLsen
dc.subjectSBCen
dc.subject.lcshBanks and banking Chinaen
dc.subject.lcshBank loans Chinaen
dc.subject.lcshCredit managementen
dc.subject.lcshRisk managementen
dc.titleChinese bank's credit risk assessmenten
dc.typeThesis or Dissertationen
dc.type.qualificationlevelDoctoralen
dc.type.qualificationnameDoctor of Philosophyen
dc.contributor.affiliationStirling Management Schoolen_GB
dc.contributor.affiliationEconomicsen_GB
Appears in Collections:Economics eTheses

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