Test Loan Loss Provisioning Hypotheses for Chinese Banks from 2013 to 2018

This study investigates loan loss provision behavior in Chinese commercial banks through the panel data of 227 banks from 2013 to 2018. According to the previous literature, four hypotheses are proposed, including income smoothing, capital management, business cycle and X-efficiency. Generalized Met...

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Main Author: Ziyi, Qian
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2019
Online Access:https://eprints.nottingham.ac.uk/57653/
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author Ziyi, Qian
author_facet Ziyi, Qian
author_sort Ziyi, Qian
building Nottingham Research Data Repository
collection Online Access
description This study investigates loan loss provision behavior in Chinese commercial banks through the panel data of 227 banks from 2013 to 2018. According to the previous literature, four hypotheses are proposed, including income smoothing, capital management, business cycle and X-efficiency. Generalized Method of Moments (GMM) is used to test the variables of loan loss provisions and X-efficiency is measured by Stochastic Frontier Approach (SFA). The mean cost efficiency of Chinese banks over the period 2013-2018 near 92.9 percent. The existence of income smoothing, capital management and business cycle behavior in Chinese banking industry have been proved by this study, but fail to find the X-efficiency behaviors.
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format Dissertation (University of Nottingham only)
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institution University of Nottingham Malaysia Campus
institution_category Local University
language English
last_indexed 2025-11-14T20:36:32Z
publishDate 2019
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spelling nottingham-576532022-11-30T15:26:43Z https://eprints.nottingham.ac.uk/57653/ Test Loan Loss Provisioning Hypotheses for Chinese Banks from 2013 to 2018 Ziyi, Qian This study investigates loan loss provision behavior in Chinese commercial banks through the panel data of 227 banks from 2013 to 2018. According to the previous literature, four hypotheses are proposed, including income smoothing, capital management, business cycle and X-efficiency. Generalized Method of Moments (GMM) is used to test the variables of loan loss provisions and X-efficiency is measured by Stochastic Frontier Approach (SFA). The mean cost efficiency of Chinese banks over the period 2013-2018 near 92.9 percent. The existence of income smoothing, capital management and business cycle behavior in Chinese banking industry have been proved by this study, but fail to find the X-efficiency behaviors. 2019-12-01 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/57653/1/Ziyi%20Qian%20N14157%20Test%20loan%20loss%20provisioning%20for%20Chinese%20banks%20from%202013%20to%202018.pdf Ziyi, Qian (2019) Test Loan Loss Provisioning Hypotheses for Chinese Banks from 2013 to 2018. [Dissertation (University of Nottingham only)]
spellingShingle Ziyi, Qian
Test Loan Loss Provisioning Hypotheses for Chinese Banks from 2013 to 2018
title Test Loan Loss Provisioning Hypotheses for Chinese Banks from 2013 to 2018
title_full Test Loan Loss Provisioning Hypotheses for Chinese Banks from 2013 to 2018
title_fullStr Test Loan Loss Provisioning Hypotheses for Chinese Banks from 2013 to 2018
title_full_unstemmed Test Loan Loss Provisioning Hypotheses for Chinese Banks from 2013 to 2018
title_short Test Loan Loss Provisioning Hypotheses for Chinese Banks from 2013 to 2018
title_sort test loan loss provisioning hypotheses for chinese banks from 2013 to 2018
url https://eprints.nottingham.ac.uk/57653/