Multi-Directional Meta-Frontier DEA Model for Total Factor Productivity Growth in the Chinese Banking Sector: A Disaggregation Approach

被引：0

作者：

Zhu, Ning ^{[1
]}

Balezentis, Tomas ^{[2
]}

Yu, Zhiqian ^{[3
]}

Wu, Wenjie ^{[4
]}

机构：

[1] South China Univ Technol, Higher Educ Mega Ctr, Sch Econ & Commerce, 382 Outer Ring East Rd, Guangzhou 510006, Guangdong, Peoples R China

[2] Lithuanian Inst Agr Econ, A Vivulskio Str 4A-13, LT-03220 Vilnius, Lithuania

[3] Guangzhou Univ, Sch Econ & Stat, High Educ Mega Ctr, 230 Wai Huan Xi Rd, Guangzhou 510006, Guangdong, Peoples R China

[4] Jinan Univ, Coll Econ, 601 West Huangpu Ave, Guangzhou 510632, Guangdong, Peoples R China

来源：

INFORMATICA | 2020年 / 31卷 / 01期

基金：

中国国家自然科学基金;

关键词：

data envelopment analysis; total factor productivity; multi-directional efficiency analysis; metafrontier; Chinese banking; TECHNICAL EFFICIENCY; MEASURING INEFFICIENCY; EUROPEAN BANKING; COMMERCIAL-BANKS; INDUSTRY; PROGRESS; IMPACT; LOANS;

D O I：

10.15388/20-INFOR397

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Departing from conventional TFP index without variable-specific analysis, this paper applies a novelMalmquist productivity index on the basis of the multi-directional efficiency analysis to investigate not only the overall total factor productivity growth, but also the variable-specific productivity growth in the Chinese banking sector. Moreover, considering heterogenous types of banks, the metafrontier framework is taken into account. It is found that the total factor productivity tended to decline in the Chinese banking during 2005-2015 with technological change being the main source of regress. The large state-owned commercial banks performed better than the small-medium commercial banks in terms of total factor productivity growth.

引用

页码：185 / 204

页数：20

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