Nonperforming Loans in China: Do We (Still) Need to Worry?

• Název práce v češtině: Nonperforming Loans in China: Do We (Still) Need to Worry?
• Název v anglickém jazyce: Nonperforming Loans in China: Do We (Still) Need to Worry?
• Klíčová slova: nedobytné dlhy, Čína, “out-of-sample” metóda, inštitucionálne prostredie
• Klíčová slova anglicky: nonperforming loans, China, out-of-sample method, institutional framework
• Akademický rok vypsání: 2010/2011
• Typ práce: diplomová práce
• Jazyk práce: angličtina
• Ústav: Institut ekonomických studií (23-IES)
• Vedoucí / školitel: doc. PhDr. Adam Geršl, Ph.D.
• Řešitel: skrytý - zadáno vedoucím/školitelem
• Datum přihlášení: 21.12.2010
• Datum zadání: 21.12.2010
• Datum a čas obhajoby: 02.02.2012 00:00
• Místo konání obhajoby: Opletalova 26
• Datum odevzdání elektronické podoby: 09.01.2012
• Datum proběhlé obhajoby: 02.02.2012
• Oponenti: Mgr. Ondřej Lopušník

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Předběžná náplň práce v anglickém jazyce

Despite the reforms being conducted for decades already, the characteristics of banking sector in China, in comparison to those of the developed world, are different. Unique formal and informal institutions play highly significant roles in determining the ongoing development. The first aim is thus to compare and criticize a wide variety of literature studying the institutional framework of banking environment in China. However, the emphasis is put on the factors considered to be crucial based on our Central European experience.

Prior China became a member of World Trade Organization in 2006, China made a pledge to reform its banking sector in many aspects. While many promises have been kept, plenty of them are successfully evaded. Therefore, the focus is put on the description of undertaken reforms. At the same time, the explanation of failure to change, based on the institutional environment, is offered.

Finally, we estimate Non-Performing Loans (NPLs) ratio based on out of sample method as Balász, Backé and Zumer (2006) did for Central and Easter Europe. However, the model is applied on both developed and developing Asian countries with a different set of determinants. That should lead to a more correct estimate of NPLs as opposed to official statistics.