Cost efficiency analysis in the Chinese commercial banking sector
By employing a one-stage SFA estimation model, this paper examines the cost efficiency of 112 Chinese commercial banks between 2013 and 2018 and explores the effects of different variables on cost efficiency. Overall, the average cost efficiency of the Chinese commercial banking sector is 84.15%, an...
| Main Author: | |
|---|---|
| Format: | Dissertation (University of Nottingham only) |
| Language: | English |
| Published: |
2019
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| Online Access: | https://eprints.nottingham.ac.uk/57542/ |
| _version_ | 1848799486485200896 |
|---|---|
| author | Wang, Yiqiao |
| author_facet | Wang, Yiqiao |
| author_sort | Wang, Yiqiao |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | By employing a one-stage SFA estimation model, this paper examines the cost efficiency of 112 Chinese commercial banks between 2013 and 2018 and explores the effects of different variables on cost efficiency. Overall, the average cost efficiency of the Chinese commercial banking sector is 84.15%, and there is an overall diminishing trend of cost efficiency over the sample period. Positive and significant correlations between bank size, GDP growth rate, bank profitability, equity ratio and cost efficiency are found. The results also suggest that foreign banks are more cost efficient than domestic banks, and higher cost efficiency levels are associated with unlisted banks. Technical change and economies of scale are further analysed. Between 2013 and 2018, the Chinese commercial banking sector exhibited technological progress, and economies of scale were widespread across all Chinese commercial banks. |
| first_indexed | 2025-11-14T20:36:26Z |
| format | Dissertation (University of Nottingham only) |
| id | nottingham-57542 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:36:26Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-575422022-11-30T12:52:02Z https://eprints.nottingham.ac.uk/57542/ Cost efficiency analysis in the Chinese commercial banking sector Wang, Yiqiao By employing a one-stage SFA estimation model, this paper examines the cost efficiency of 112 Chinese commercial banks between 2013 and 2018 and explores the effects of different variables on cost efficiency. Overall, the average cost efficiency of the Chinese commercial banking sector is 84.15%, and there is an overall diminishing trend of cost efficiency over the sample period. Positive and significant correlations between bank size, GDP growth rate, bank profitability, equity ratio and cost efficiency are found. The results also suggest that foreign banks are more cost efficient than domestic banks, and higher cost efficiency levels are associated with unlisted banks. Technical change and economies of scale are further analysed. Between 2013 and 2018, the Chinese commercial banking sector exhibited technological progress, and economies of scale were widespread across all Chinese commercial banks. 2019-12-01 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/57542/1/Dissertation.pdf Wang, Yiqiao (2019) Cost efficiency analysis in the Chinese commercial banking sector. [Dissertation (University of Nottingham only)] |
| spellingShingle | Wang, Yiqiao Cost efficiency analysis in the Chinese commercial banking sector |
| title | Cost efficiency analysis in the Chinese commercial banking sector |
| title_full | Cost efficiency analysis in the Chinese commercial banking sector |
| title_fullStr | Cost efficiency analysis in the Chinese commercial banking sector |
| title_full_unstemmed | Cost efficiency analysis in the Chinese commercial banking sector |
| title_short | Cost efficiency analysis in the Chinese commercial banking sector |
| title_sort | cost efficiency analysis in the chinese commercial banking sector |
| url | https://eprints.nottingham.ac.uk/57542/ |