ORCID Profile
0000-0002-9742-2378
Current Organisations
Queensland University of Technology
,
Queensland University of Technology (QUT)
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Publisher: Elsevier BV
Date: 05-2018
Publisher: Elsevier BV
Date: 09-2020
Publisher: Elsevier BV
Date: 2012
DOI: 10.2139/SSRN.2121816
Publisher: Springer Science and Business Media LLC
Date: 15-03-2016
Publisher: Elsevier BV
Date: 09-2015
DOI: 10.1016/J.JENVMAN.2015.06.054
Abstract: This study estimates the environmental efficiency of international listed firms in 10 worldwide sectors from 2007 to 2013 by applying an order-m method, a non-parametric approach based on free disposal hull with subs ling bootstrapping. Using a conventional output of gross profit and two conventional inputs of labor and capital, this study examines the order-m environmental efficiency accounting for the presence of each of 10 undesirable inputs/outputs and measures the shadow prices of each undesirable input and output. The results show that there is greater potential for the reduction of undesirable inputs rather than bad outputs. On average, total energy, electricity, or water usage has the potential to be reduced by 50%. The median shadow prices of undesirable inputs, however, are much higher than the surveyed representative market prices. Approximately 10% of the firms in the s le appear to be potential sellers or production reducers in terms of undesirable inputs/outputs, which implies that the price of each item at the current level has little impact on most of the firms. Moreover, this study shows that the environmental, social, and governance activities of a firm do not considerably affect environmental efficiency.
Publisher: Elsevier BV
Date: 05-2022
Publisher: Informa UK Limited
Date: 06-05-2019
Publisher: Cambridge University Press (CUP)
Date: 13-02-2014
DOI: 10.1017/S1355770X14000023
Abstract: This paper translates the concepts of sustainable production to three dimensions of economic, environmental and ecological sustainability to analyze optimal production scales by solving optimizing problems. Economic optimization seeks input-output combinations to maximize profits. Environmental optimization searches for input-output combinations that minimize the polluting effects of materials balance on the surrounding environment. Ecological optimization looks for input-output combinations that minimize the cumulative destruction of the entire ecosystem. Using an aggregate space, the framework illustrates that these optimal scales are often not identical because markets fail to account for all negative externalities. Profit-maximizing firms normally operate at the scales which are larger than optimal scales from the viewpoints of environmental and ecological sustainability hence policy interventions are favoured. The framework offers a useful tool for efficiency studies and policy implication analysis. The paper provides an empirical investigation using a data set of rice farms in South Korea.
Publisher: Now Publishers
Date: 12-2017
Publisher: Springer Science and Business Media LLC
Date: 14-03-2018
Publisher: Elsevier BV
Date: 09-2019
Publisher: Elsevier BV
Date: 02-2021
Publisher: Elsevier BV
Date: 09-2021
Publisher: Elsevier BV
Date: 2021
Publisher: Elsevier BV
Date: 02-2013
Publisher: Wiley
Date: 22-09-2021
DOI: 10.1111/TWEC.13025
Publisher: Elsevier BV
Date: 07-2010
Publisher: Springer Science and Business Media LLC
Date: 02-12-2023
Publisher: Elsevier BV
Date: 2012
DOI: 10.2139/SSRN.2121816
Publisher: Elsevier BV
Date: 02-2021
Publisher: Springer Science and Business Media LLC
Date: 27-06-2017
Publisher: Wiley
Date: 02-12-2020
Publisher: Emerald
Date: 09-01-1970
Abstract: There is le empirical evidence to show that larger banks are more efficient than smaller banks in developed countries. However, there is very little empirical evidence to show that in small developing economies, such as Vietnam, bank size is associated with increased risk, especially credit risk. This paper aim to provide empirical evidence to fill in this gap. This paper employs a slack-based directional distance function using the intermediation approach in measuring the inefficiency of banks in Vietnam during the period 2006–2015. Non-performing loans are used as an undesirable output to capture credit risk. The results show that small banks are more efficient than large banks at the mean level and across the entire distributions of inefficiency of the two groups. Input waste, output shortage and risk surplus of big banks are nearly three times higher than those of small banks. The results are robust under constant and variable returns to scale for production technologies. The study’s empirical results contribute to the ongoing debate on the merits of enlarging bank size in a small transitional economy and suggest that policy makers should pay attention to the risk and inefficiency of large banks to enhance the performance of Vietnam's banking system as a whole. This paper uses the non-radial slack-based directional technology distance function developed by Färe and Grosskopf (2010) to estimate the efficiency of banks using the data envelopment analysis technique. Data for 44 commercial banks are used. The empirical results of the paper contribute to the ongoing debate on the merits of enlarging bank size in a small transitional economy and suggest that policy makers should pay attention to the risk and inefficiency of large banks to improve the performance of Vietnam's banking system as a whole. This paper extends the extant literature by examining whether efficiency is associated with size in a typical transitional developing economy. The classic Cournot model, the structure-conduct-performance and the efficiency structure hypotheses state that larger banks are more efficient than smaller banks (Bikker and Bos, 2008). Empirical studies of Berger (2003), Mester (2005), Wheelock and Wilson (2012) lend support to the statement in developed countries. However, not much empirical literature focuses on small developing economies such as Vietnam to show that bank size is associated with increased risk, especially credit risk. The study’s empirical results show that size enlargement is not positively associated with risk-adjusted efficiency. Input waste, output shortage and risk surplus of big banks are nearly three times higher than those of small banks. The results are robust under constant and variable returns to scale for production technologies.
Publisher: Wiley
Date: 13-04-2016
Publisher: Springer Science and Business Media LLC
Date: 08-11-2019
Publisher: Wiley
Date: 09-2015
Publisher: Hindawi Limited
Date: 07-04-2011
DOI: 10.1002/ER.1713
Publisher: Elsevier BV
Date: 2011
Publisher: Wiley
Date: 28-04-2012
Publisher: Elsevier BV
Date: 03-2016
Publisher: Elsevier BV
Date: 12-2017
Publisher: Informa UK Limited
Date: 25-04-2022
Publisher: Cambridge University Press (CUP)
Date: 04-12-2018
DOI: 10.1017/S0021932017000608
Abstract: This paper proposes a new empirical model for examining the relationship between obesity and school performance using the simultaneous equation modelling approach. The lagged effects of both learning and health outcomes were included to capture both the dynamic and inter-relational aspects of the relationship between obesity and school performance. The empirical application of this study used comprehensive data from the first five waves of the Longitudinal Study of Australian Children (LSAC), which commenced in 2004 (wave 1) and was repeated every two years until 2018. The study s le included 10,000 children, equally ided between two cohorts (infants and children) across Australia. The empirical results show that past learning and obesity status are strongly associated with most indicators of school outcomes, including reading, writing, spelling, grammar and numeracy national tests, and scores from the internationally standardized Peabody Picture Vocabulary Test and the Matrix Reasoning Test. The main findings of this study are robust due to the choice of obesity indicator and estimation methods.
Publisher: Springer Science and Business Media LLC
Date: 21-01-2010
Publisher: Edward Elgar Publishing
Date: 30-06-2017
Publisher: Elsevier BV
Date: 03-2013
Publisher: Elsevier BV
Date: 06-2021
Publisher: Informa UK Limited
Date: 25-10-2019
Publisher: Informa UK Limited
Date: 08-12-2018
Publisher: Sciknow Publications
Date: 2014
Publisher: Elsevier BV
Date: 03-2021
Publisher: Informa UK Limited
Date: 21-08-2022
Publisher: Informa UK Limited
Date: 10-08-2023
Publisher: Elsevier BV
Date: 09-2020
Publisher: Elsevier BV
Date: 02-2018
Publisher: Emerald
Date: 06-03-2019
DOI: 10.1108/VJIKMS-10-2018-0086
Abstract: The theory of planned behavior (TPB) is the most frequently used model in knowledge sharing. However, the empirical results are inconclusive on whether TPB can provide reasonable prediction of knowledge sharing behavior (KSB). This study aims to examine TPB in knowledge sharing and identify potential moderators of relationships among constructs in TPB. This study conducted a systematic review and meta-analysis of 26 studies examining TPB in knowledge sharing. A meta-analytical structural equation model (MASEM) was used to test original and modified TPB models and examine potential moderators. The results show that attitude has the strongest relationship with intention, followed by perceived behavior control and then subjective norms. Intention shows the strongest association with KSB, followed by perceived behavior control. The moderator roles of culture, economic wealth and information technology support are found in the model. This study is the first attempt to provide a systematic review and MASEM in TPB in knowledge sharing.
Publisher: Elsevier BV
Date: 03-2017
Publisher: Elsevier BV
Date: 12-2017
Publisher: Springer Science and Business Media LLC
Date: 12-05-2018
Publisher: Elsevier BV
Date: 03-2023
Publisher: Elsevier BV
Date: 07-2021
Publisher: Springer Science and Business Media LLC
Date: 30-08-2012
Publisher: Elsevier BV
Date: 11-2011
Publisher: Springer Science and Business Media LLC
Date: 15-07-2016
Publisher: Springer Science and Business Media LLC
Date: 17-07-2019
Publisher: Springer Science and Business Media LLC
Date: 04-03-2022
DOI: 10.1007/S11356-022-19284-X
Abstract: This study empirically estimates the impact of clean and non-clean energy consumption on economic growth and carbon dioxide emissions within the framework of the environmental Kuznets curve and pollution haven hypothesis in the case of PIMC countries from 1980 to 2019. The results of the panel cointegration test proposed by Westerlund (2007) show a long-term equilibrium relationship among the variables of each designated model. The long-term elasticities of economic growth and carbon emission estimated by AMG, CCEMG, and MG estimators indicate that both clean and non-clean energy consumption has a significant impact on economic growth, while carbon emission hinders growth. The results also reveal that economic growth, non-clean energy consumption, and interaction between trade openness and non-clean energy consumption have a driving effect on carbon dioxide emission however, clean energy consumption is found to reduce carbon emission. In addition, the analysis confirms the existence of the inverted U-shaped environmental Kuznets curve and pollution haven hypothesis in the panel of PIMC economies. Finally, there is a one-way causality from non-clean energy consumption to economic growth, but no such causation exists between clean energy consumption and economic growth. The objective of sustained economic growth with a safe environment may be achieved by encouraging clean energy consumption in the PIMC economies.
Publisher: Elsevier BV
Date: 07-2018
Publisher: Wiley
Date: 13-08-2022
DOI: 10.1111/DSJI.12274
Abstract: There is an increasing demand to introduce Introductory Business Analytics (IBA) courses into undergraduate business education. Many real‐world business contexts require predictive analytics to understand the determinants of a dichotomous outcome hence, IBA courses should include binary logistic regression analysis. This article provides our reflective discussions on the design of learning activities and assessments to assist business students in learning binary logistic regression in an IBA course. Data on student engagement and learning outcomes are used to shed light on the impacts of teaching logistic regression on student learning and experience. Notably, students opt to focus their assessment work more on logistic regression than on multiple regression analysis, showing the potential attraction of students toward binary logistic regression analysis. We also observed several challenges, mainly related to the use of Excel, that require special attention from instructors.
Publisher: Springer Science and Business Media LLC
Date: 21-08-2023
Publisher: Springer Science and Business Media LLC
Date: 23-08-2018
Publisher: Elsevier BV
Date: 05-2014
DOI: 10.1016/J.JENVMAN.2014.01.046
Abstract: This article integrates the material/energy flow analysis into a production frontier framework to quantify resource efficiency (RE). The emergy content of natural resources instead of their mass content is used to construct aggregate inputs. Using the production frontier approach, aggregate inputs will be optimised relative to given output quantities to derive RE measures. This framework is superior to existing RE indicators currently used in the literature. Using the exergy/emergy content in constructing aggregate material or energy flows overcomes a criticism that mass content cannot be used to capture different quality of differing types of resources. Derived RE measures are both 'qualitative' and 'quantitative', whereas existing RE indicators are only qualitative. An empirical examination into the RE of 116 economies was undertaken to illustrate the practical applicability of the new framework. The results showed that economies, on average, could reduce the consumption of resources by more than 30% without any reduction in per capita gross domestic product (GDP). This calculation occurred after adjustments for differences in the purchasing power of national currencies. The existence of high variations in RE across economies was found to be positively correlated with participation of people in labour force, population density, urbanisation, and GDP growth over the past five years. The results also showed that economies of a higher income group achieved higher RE, and those economies that are more dependent on imports and primary industries would have lower RE performance.
Publisher: Informa UK Limited
Date: 10-09-2020
Publisher: Springer International Publishing
Date: 2023
Publisher: Springer Science and Business Media LLC
Date: 03-12-2022
Publisher: Elsevier BV
Date: 04-2019
No related grants have been discovered for Viet-Ngu Hoang.