David Tripe

Dr. David Tripe

Massey University, New Zealand
orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2014 in Journal of Banking & Finance
Verified
Journal Article
Closed access
Song ShiSong Shi
Song Shi
JJJyh-Bang Jou
Jyh-Bang Jou
DTDavid Tripe
David Tripe

1 October 2002 in Journal of International Financial Markets, Institutions and Money
Verified
Journal Article
Closed access
HTHuong Minh To
Huong Minh To
DTDavid Tripe
David Tripe

1 January 2016 in SSRN Electronic Journal
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Preprint
Open access
PDF file
XLXiping Li
Xiping Li
DTDavid Tripe
David Tripe
CMChristopher B. Malone
Christopher B. Malone
This paper compares different approaches to construct time-varying z-score measures, with different ways to compute elements of z-score, optimal time length and

YZYuming Zhang
Yuming Zhang
CXChao Xing
Chao Xing
DTDavid Tripe
David Tripe
According to previous studies, China’s green credit policy, which was launched in 2012, increases environment-friendly manufacturing enterprises’ loan amounts. In this paper, we focus on a redistribution mechanism among environment-friendly manufacturing firms, namely, we determine whether the effects of the green credit policy differ between small and medium-sized environment-friendly manufacturing enterprises (SMEMEs) and large environment-friendly manufacturing enterprises (LEMEs). Using a difference in difference model (DID) and a difference in difference in difference model (DDD), we find that SMEMEs obtain more loans than LEMEs due to the green credit policy. We further analyze three potential foundations of this redistribution mechanism: information asymmetry, financial development, and government environmental investment. The results demonstrate that the redistribution effect occurs in both low and high information asymmetry conditions but only in regions with satisfactory financial development and with lower government environmental investment. Our findings enrich the literature on green credit, sustainable finance, and small finance, and they provide references for enterprises, banks, and governments.

Verified
Journal Article
Open access
PDF file
TNTram Nguyen
Tram Nguyen
DTDavid Tripe
David Tripe
Thanh NgoThanh Ngo
Thanh Ngo
This paper examines whether there is a causal relationship between bank loans and deposits in the Vietnamese banking system and the efficiency of the use of loans and deposits by the Vietnamese banks. In a country such as Vietnam, where inter-bank money markets are relatively underdeveloped, one would expect a reasonably strong relationship between deposits and loans. A pooled cross-sectional sample of financial ratios is collected from annual reports of 44 Vietnamese banks covering the period 2008–2015. The explanatory power of instrumental variables in relation to the endogenous variables is tested. A deterministic frontier model based on corrected ordinary least squares, estimated by three-stage least squares on a simultaneous equations model, is employed to derive the frontiers for the sampled banks as well as to estimate the causality between bank loans and deposits. Our findings suggest that, in an underdeveloped banking system such as Vietnam, bank deposits have a positive and significant impact on bank loans, but the reverse relationship is not significant. It is further suggested that in deposit-taking and loan-creating activities, Vietnamese banks performed moderately well over the period examined; however, in the near future, they should start to focus more on deposit-taking activities.

3 April 2017 in Pacific Accounting Review
Verified
Journal Article
Closed access
Thanh NgoThanh Ngo
Thanh Ngo
DTDavid Tripe
David Tripe
Purpose: This paper aims to examine alternative methods for treating nonperforming loans (NPLs) in bank cost-efficiency studies using stochastic frontier analysis (SFA). Design/methodology/approach: The authors consider three methods of treating NPLs in SFA: as an additional control variable, as an environmental factor or as a deduction from total loans. Using data from the Vietnamese banking system (2003-2010), the authors then compare these results with those of the base model (where total loans is used regardless of the NPLs) to see which one is more appropriate for this study. Findings: The authors observed that the first two methods are inappropriate for the analysis: one cannot find the significant relationship between NPLs and the banks’ total cost, and the other cannot account for any inefficiency at all. The authors suggested that the third method of separating NPLs from total loans can provide better insights. Using the proposed method, the authors showed that the cost-efficiency of Vietnamese banks over the period examined was moderate with a slight decreasing trend. When NPLs are separated, the cost-efficiency decreases in state-owned banks and big banks, whereas it increases in small and private banks. Research limitations/implications: Research is limited to Vietnamese banks during a certain period, and it would be useful to apply the same technique to other data sets. Practical implications: The paper suggests a new approach to account for NPLs in cost SFA studies in banking. Originality/value: The paper provides a much more searching analysis of NPLs in banking than has generally been seen in previous research.