Bank excess reserves in emerging economies: A critical review and research agenda

Nguyen, Vu Hong Thai; Boateng, Agyenim

doi:10.1016/j.irfa.2015.02.005

Cited by 9 publications

(4 citation statements)

References 76 publications

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“…First, studies show that financial institutions are dominant in UMEs (e.g., see Vo & Nguyen, 2017;Thanh et al, 2020). These systems are likely to be characterised by risk-taking behaviour of commercial banks (e.g., see Nguyen & Boateng, 2015;Nguyen, Pham, et al, 2020). That is, funds may not be allocated optimally to good projects, or investment in upgrading product quality.…”

Section: Nguyenmentioning

confidence: 99%

Export quality dynamics: Multidimensional evidence of financial development

Nguyen

2021

World Economy

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export quality, financial constraints, financial development, financial institutions, financial markets | NGUYEN Svirydzenka (2016), it is assumed that a country with a higher level of financial development also has a high degree of financial access, as well as depth, efficiency and lower costs of financial transactions; this means that a higher level of financial development may stimulate firms to produce higher quality products through investment and innovation. Figure 1 depicts some primary observations on financial development and export quality. It seems that there is a positive relationship between financial development and export quality in all three income groups; i.e., low-and lower-middle-income economies (LMEs), upper-middle-income economies (UMEs) and high-income economies (HIEs).This study endeavours to shed some light on the influence of financial development on export quality at the global level. The first contribution of this study is that the quality sorting model (a microeconomic model) of Fan et al. (2015) is linked to the macroeconomic context through the impact of financial development on export quality. Notably, in the study, financial development is proxied by (a) the overall financial development index; (b) its two sub-indices (financial institutions index and financial markets index); and (c) three dimensions of each sub-index indicating depth, access ability and efficiency (Svirydzenka, 2016). Regarding the groups of different economies, the study collects an available data set of 49 LMEs, 31 UMEs and 48 HIEs. Three different groups are formed to avoid correlation between income level and export quality, as documented in Krishna and Maloney (2011). Based on the previous literature, the study includes a set of control variables, namely export diversification, trade openness, FDI inflows, institutional quality and human capital accumulation. Given the availability of institutional quality from 2002, and export quality up to 2014, the 2002-14 period is a sound choice. Several econometric techniques for panel data are applied to check for causality and control for endogeneity, heteroscedasticity and cross-sectional dependence. A longer data period is also collected from 1980 to 2014, retaining only some main control variables for long-term estimations.The estimation results show robust findings. First, bidirectional causality between financial development and export quality is documented, including overall financial development, its two sub-indices and three dimensions of each sub-index. Second, the regressions for different estimators indicate a significant positive impact of overall financial development on export quality in all three groups of economies. Third, the two sub-indices of financial development and each of the three dimensions of the sub-indices are found to have positive effects on export quality in the three groups of economies, except for financial institution depth and access, which are not significant for UMEs. These results suggest that an increase in financial developmen...

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Section: Nguyenmentioning

confidence: 99%

Export quality dynamics: Multidimensional evidence of financial development

Nguyen

2021

World Economy

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“…A comprehensive bibliometric citation analysis, a burgeoning technique mostly used by the review papers in the domain of management and social sciences, was then conducted (Bahoo et al, 2020). The majority of the review papers in finance have been based on the conventional survey method, focusing on a particular topic or issue (Ballester et al, 2019; Deku et al, 2019; French & Vigne, 2019; Garner et al, 2016; Nguyen & Boateng, 2015). However, some recent review studies in finance have used bibliometric citation techniques, for example, Helbing (2019) for literature on IPO, Paltrinieri et al (2019) for literature on Sukuk, and Paltrinieri et al (2019) for credit risk literature.…”

Section: Introductionmentioning

confidence: 99%

Past, Present and Future of FinTech Research: A Bibliometric Analysis

et al. 2022

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This study has conducted a meta-literature review examining the past, present and possible future trends of Fintech research using 360 selected articles published between 2006 and June 2020. Both quantitative and qualitative techniques were applied. In the quantitative approach, a bibliometric citation analysis using HistCite and VOSviewer software was conducted and the qualitative analysis covered the identification of four main research streams related to (i) Bitcoin and digital currency, (ii) crowdfunding, (iii) mobile payment, and (iv) blockchain. The study results highlight the most influential aspects of the FinTech literature, such as the leading countries, institutions, journals, authors, and articles. Suggestions for the potential future direction of FinTech literature have also been made.

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Section: Introductionmentioning

confidence: 99%

“…The past decades have witnessed large capital inflows into Asian emerging economies, particularly in Vietnam and China (see [1] [2] [3] [4]), which have been argued to result in excess liquidity in the banking systems [3] [5]. This is because the central banks increase money supply to neutralize the currency appreciation pressure [2] [3] [5]. For example, the literature has documented that excess reserves in the Chinese banking system averaged around 10% of deposit during 2000s and remained high at 3.3% during 2012 [6] [7] [8].…”

Section: Introductionmentioning

confidence: 99%

Excess Liquidity and Bank Managers’ Remuneration: The Role of Monetary Policy

Nguyen¹,

Le²,

Maheshwari³

2018

TEL

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This paper investigates the impacts of monetary policy on bank managers' remuneration in Vietnam and China where excess liquidity is present in the economies. The study argues that excess liquidity provides the condition to conceal risk taken by bank managers, and hence their remunerations are improved. However, the capability of excess liquidity in concealing risk is attenuated during the tightening monetary policy regime. The study extends the relationship between monetary policy and risk taking incentives of bank managers to the context of excess liquidity condition.

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Bank excess reserves in emerging economies: A critical review and research agenda

Cited by 9 publications

References 76 publications

Export quality dynamics: Multidimensional evidence of financial development

Export quality dynamics: Multidimensional evidence of financial development

Past, Present and Future of FinTech Research: A Bibliometric Analysis

Excess Liquidity and Bank Managers’ Remuneration: The Role of Monetary Policy

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