Publicação
Non-performing loans' impact on bank efficiency: An empirical analysis on Chinese state-owned banks
| Resumo: | This research investigates the impact of non-performing loans on bank efficiency in Chinese state-owned banking sector. The results indicate a negative effect of non-performing loans on bank efficiency in Chinese State-owned banks throughout 2011Q1 - 2021Q3. We take seasonal revenue as the indicator of bank efficiency in our baseline models and seasonal profit denoting bank inefficiency in our robustness test. The findings of our study highlight non-performing loans are an important indicator of bank inefficiency in Chinese SOBs (State-owned banks). We applied Prais-Winsten regression to our panel data, which is a special case of Feasible Generalized Least Squares (FGLS), to correct the serial correlation and cross-sectional correlation of our fixed effect model. The novelty of our paper also lies in the application of FGLS to the study of non-performing loans. Overall, the implication of our research is in line with the extant literature that policy makers should consider reducing non-performing loans in the post-crisis era to improve the efficiency in banks. |
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| Autores principais: | Ning Xingyu |
| Assunto: | Non-performing loans Bank inefficiency State-owned banks China Prais-Winsten regression Empréstimos inadimplentes Ineficiência bancária Bancos estatais Regressão Prais-Winsten |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | ISCTE |
| Idioma: | inglês |
| Origem: | Repositório ISCTE |
| Resumo: | This research investigates the impact of non-performing loans on bank efficiency in Chinese state-owned banking sector. The results indicate a negative effect of non-performing loans on bank efficiency in Chinese State-owned banks throughout 2011Q1 - 2021Q3. We take seasonal revenue as the indicator of bank efficiency in our baseline models and seasonal profit denoting bank inefficiency in our robustness test. The findings of our study highlight non-performing loans are an important indicator of bank inefficiency in Chinese SOBs (State-owned banks). We applied Prais-Winsten regression to our panel data, which is a special case of Feasible Generalized Least Squares (FGLS), to correct the serial correlation and cross-sectional correlation of our fixed effect model. The novelty of our paper also lies in the application of FGLS to the study of non-performing loans. Overall, the implication of our research is in line with the extant literature that policy makers should consider reducing non-performing loans in the post-crisis era to improve the efficiency in banks. |
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