An Empirical Analysis on the Determinants of Chinese Commercial Banks's Profitability during the period 2011-2016

This study examines the determinants of bank profitability based on a sample of 45 listed commercial banks which including 5 large state-owned commercial banks, 9 joint-equity commercial banks, 22 urban commercial banks and 9 rural commercial banks during the period from 2011 to 2016 in China. The m...

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Main Author: LIU, YANG
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2018
Subjects:
Online Access:https://eprints.nottingham.ac.uk/53650/
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author LIU, YANG
author_facet LIU, YANG
author_sort LIU, YANG
building Nottingham Research Data Repository
collection Online Access
description This study examines the determinants of bank profitability based on a sample of 45 listed commercial banks which including 5 large state-owned commercial banks, 9 joint-equity commercial banks, 22 urban commercial banks and 9 rural commercial banks during the period from 2011 to 2016 in China. The method for this study is the two-step System Generalized Method of Moments (SGMM) which is applied to estimate the dynamic panel data regression model. Moreover, the variables are divided into bank-specific variables and macroeconomic variables. To be specific, the bank-specific variables are from various aspects, i.e., bank size, liquidity, asset quality, capital adequacy and insolvency risk. The macroeconomic variables are the real interest rate, unemployment rate and inflation. The final results show different impacts from different determinants.
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spelling nottingham-536502022-03-10T14:37:06Z https://eprints.nottingham.ac.uk/53650/ An Empirical Analysis on the Determinants of Chinese Commercial Banks's Profitability during the period 2011-2016 LIU, YANG This study examines the determinants of bank profitability based on a sample of 45 listed commercial banks which including 5 large state-owned commercial banks, 9 joint-equity commercial banks, 22 urban commercial banks and 9 rural commercial banks during the period from 2011 to 2016 in China. The method for this study is the two-step System Generalized Method of Moments (SGMM) which is applied to estimate the dynamic panel data regression model. Moreover, the variables are divided into bank-specific variables and macroeconomic variables. To be specific, the bank-specific variables are from various aspects, i.e., bank size, liquidity, asset quality, capital adequacy and insolvency risk. The macroeconomic variables are the real interest rate, unemployment rate and inflation. The final results show different impacts from different determinants. 2018-09-04 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/53650/1/4307563%20YANG%20LIU%20DISSERTATION.pdf LIU, YANG (2018) An Empirical Analysis on the Determinants of Chinese Commercial Banks's Profitability during the period 2011-2016. [Dissertation (University of Nottingham only)] China commercial banks bank profitability SGMM
spellingShingle China
commercial banks
bank profitability
SGMM
LIU, YANG
An Empirical Analysis on the Determinants of Chinese Commercial Banks's Profitability during the period 2011-2016
title An Empirical Analysis on the Determinants of Chinese Commercial Banks's Profitability during the period 2011-2016
title_full An Empirical Analysis on the Determinants of Chinese Commercial Banks's Profitability during the period 2011-2016
title_fullStr An Empirical Analysis on the Determinants of Chinese Commercial Banks's Profitability during the period 2011-2016
title_full_unstemmed An Empirical Analysis on the Determinants of Chinese Commercial Banks's Profitability during the period 2011-2016
title_short An Empirical Analysis on the Determinants of Chinese Commercial Banks's Profitability during the period 2011-2016
title_sort empirical analysis on the determinants of chinese commercial banks's profitability during the period 2011-2016
topic China
commercial banks
bank profitability
SGMM
url https://eprints.nottingham.ac.uk/53650/