Journal Articles

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

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Author: search.filters.author.Ngo TSubject: search.filters.subject.Vietnam

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    Using data-driven weightings to construct the provincial healthcare system index
    (Innovative Research Publishing, 2025-02-28) Le B-T; Hoang T-H; Ngo T; Pham T-L
    The healthcare system is essential in delivering services that enhance the quality of life and contribute to the Sustainable Development Goals (SDGs) worldwide. Thus, measuring the effectiveness of healthcare systems is important. This study introduces a Provincial Healthcare System Index (PHSI) as a composite index that integrates macro-and micro-level data to assess the readiness and capacity of provincial healthcare systems, with an application to Vietnam, an emerging economy. Importantly, principal component analysis was used to derive data-driven weightings for the PHSI instead of a priori subjectively defined ones. The empirical results show that the average 2021 PHSI in Vietnam is notably low at 0.199, indicating a significant lack of preparation and capacity in converting healthcare resources into outcomes. The marked disparity among neighboring provinces suggests that their healthcare systems are still disconnected. The study highlights the need for Vietnamese policymakers to enhance the resources and outcomes of its provincial healthcare system. Improving provincial connectivity could significantly enhance the overall efficiency of the regional and national healthcare systems in Vietnam. Such implications could be further extended to other emerging economies.
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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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    From Efficiency Analyses to Policy Implications: a Multilevel Hierarchical Linear Model Approach
    (Taylor and Francis Group, 2021-09-25) Dao TTT; Mai XTT; Ngo T; Le T; Ho H
    This paper examines the key factors that influenced the cost efficiency of 7,633 Vietnamese manufacturing firms during 2010–2016 via a hierarchical linear modelling (HLM) approach. The main reason for using HLM in this case is that observations in the same group may not be independent from each other (e.g. firms operate within the same city), and some variables may not vary across those observations. Although most of the findings are consistent with previous studies, the statistical power of our HLM model is higher than that of the traditional single-level analysis, suggesting that HLM can provide better analytical insights. The results further indicate a case for cities or provinces pursuing different policies aimed at improving the performance of their local firms.
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    ICT as a Key Determinant of Efficiency: A Bootstrap-Censored Quantile Regression (BCQR) Analysis for Vietnamese Banks
    (MDPI (Basel, Switzerland), 2022-06-16) Le TDQ; Ngo T; Ho TH; Nguyen DT; Boubaker S
    There is evidence that ICT developments can improve bank efficiency and performance. Previous studies often employ data envelopment analysis (DEA) to first examine bank performance and then use a second-stage regression to explain the influences of other environmental factors, including ICT, on such efficiency. Since DEA efficiency scores are bounded between the (0, 1] intervals, Tobit and truncated regressions are commonly used in this stage. However, none has accounted for the skewness characteristic of DEA efficiency. This paper applied a bootstrap-censored quantile regression (BCQR) approach to triply account for the issues of a small sample (via bootstrap), bounded intervals (via censored regression), and skewness (via quantile regression) in DEA analysis. We empirically examined the efficiency and performance of 27 Vietnamese commercial banks in the 2007–2019 period. The efficiency scores derived from our first stage revealed that they are skewed and thus, justify the use of the BCQR in the second stage. The BCQR results further confirmed that ICT developments could enhance bank efficiency, which supports the recent policy to restructure the Vietnamese banking sector toward innovation and digitalization. We also examined the impacts of other factors such as bank ownership, credit risk, and bank size on efficiency.