Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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Author: search.filters.author.Ho THSubject: search.filters.subject.efficiency

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    A Dataset for the Vietnamese Banking System (2002–2021)
    (MDPI (Basel, Switzerland), 2022-09) Le TDQ; Ho TH; Ngo T; Nguyen DT; Tran SH; Guijarro F
    This data article describes a dataset that consists of key statistics on the activities of 45 Vietnamese banks (e.g., deposits, loans, assets, and labor productivity), operated during the 2002–2021 period, yielding a total of 644 bank-year observations. This is the first systematic compilation of data on the splits of state vs. private ownership, foreign vs. domestic banks, commercial vs. policy banks, and listed vs. nonlisted banks. Consequently, this arrives at a unique set of variables and indicators that allow us to capture the development and performance of the Vietnamese banking sector over time along many different dimensions. This can play an important role for financial analysts, researchers, and educators in banking efficiency and performance, risk and profit/revenue management, machine learning, and other fields. Dataset: https://doi.org/10.7910/DVN/RIWA3B Dataset License: CC0
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    Efficiency in Vietnamese banking: A meta-regression analysis approach
    (MDPI (Basel, Switzerland), 2021-09) Ho TH; Nguyen DT; Ngo T; Le TDQ; Balvers R; Boubaker S
    This study explains the differences and variances in the efficiency scores of the Vietnamese banking sector retrieved from 27 studies published in refereed academic journals under the frame-work of meta-regression analysis. These scores are mainly based on frontier efficiency measurements, which essentially are Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) for Vietnamese banks over the period of 2007–2019. The meta-regression is estimated by using truncated regression to obtain bias-corrected scores. Our findings suggest that only the year of publication is positively correlated with efficiency, whilst the opposite is true for the data type, and sample size.