A cross-country efficiency and productivity evaluation of commercial banks in South Asia: A meta-frontier and Malmquist productivity index approach

被引:19
|
作者
Shah, Wasi Ul Hassan [1 ]
Hao, Gang [2 ]
Zhu, Nan [3 ]
Yasmeen, Rizwana [4 ]
Padda, Ihtsham Ul Haq [5 ]
Kamal, Muhammad Abdul [6 ]
机构
[1] Zhejiang Shuren Univ, Sch Management, Hangzhou, Peoples R China
[2] City Univ Hong Kong, Dept Management Sci, Hong Kong, Peoples R China
[3] Southwestern Univ Finance & Econ, Western Business Sch, Chengdu, Peoples R China
[4] Panzhihua Univ Panzhihua, Sch Econ & Management, Panzhihua, Sichuan, Peoples R China
[5] Fed Urdu Univ Arts Sci & Technol, Dept Econ, Islamabad, Pakistan
[6] Abdul Wali Khan Univ Mardan, Dept Econ, Mardan, Khyber Pakhtunk, Pakistan
来源
PLOS ONE | 2022年 / 17卷 / 04期
关键词
DATA ENVELOPMENT ANALYSIS; DIRECTIONAL DISTANCE FUNCTION; IMPRECISE DATA; DEA; GROWTH; PERFORMANCE; CHINA; MODEL; INDIA; LIBERALIZATION;
D O I
10.1371/journal.pone.0265349
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:17
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