A cross-country efficiency and productivity evaluation of commercial banks in South Asia: A meta-frontier and Malmquist productivity index approach.
Autor: | Shah WUH; School of Management, Zhejiang Shuren University, Hangzhou, China., Hao G; Department of Management Sciences, City University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, China., Zhu N; The Western Business School, Southwestern University of Finance and Economics, Chengdu, China., Yasmeen R; School of Economics and Management, Panzhihua University Panzhihua, Sichuan, China., Padda IUH; Department of Economics, Federal Urdu University of Arts, Science and Technology, Islamabad, Pakistan., Abdul Kamal M; Department of Economics, Abdul Wali Khan University Mardan, Mardan, Khyber Pakhtunkhwa Province, Pakistan. |
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Jazyk: | angličtina |
Zdroj: | PloS one [PLoS One] 2022 Apr 06; Vol. 17 (4), pp. e0265349. Date of Electronic Publication: 2022 Apr 06 (Print Publication: 2022). |
DOI: | 10.1371/journal.pone.0265349 |
Abstrakt: | South Asia primarily consists of developing economies with diverse financial systems. The commercial banking industry plays a crucial role in each country's financial development in the region. This research aims to evaluate commercial banking industries' efficiency and productivity growth in the South Asian (SA) region over 6 years (2013-2018). In addition, the technology gap among the banking industries of all countries is also explored. Data envelopment analysis (DEA) Meta-frontier is employed to measure the technical efficiency (TE) and technology gap ratio (TGR) among the countries. Further Malmquist productivity index (MPI) is used for productivity change estimation. Results indicate that, on average, 147 commercial banks (CBs) have a technical efficiency score of 0.6208, while CBs in Nepal are the most efficient in the region with an average score of 0.7153. The Meta frontier analysis also confirms the presence of different production technologies in CBs. Nepal's CBs group frontier is closer to meta-frontier (technology gap ratio, TGR = 0.9361) While, Bangladesh, Pakistan, India, and Sri Lanka rank second, third, fourth, and fifth, respectively. The results of productivity contend that the total factor productivity change of all 147 CBs decreases by 0.8 percent on average over the study period. CBs have enhanced their productivity growth in Sri Lanka, Nepal, and Pakistan, but declining trends have been witnessed in Indian and Bangladesh's commercial banking industries. Competing Interests: The authors have declared that no competing interests exist. |
Databáze: | MEDLINE |
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