ORCID Profile
0000-0003-2093-5498
Current Organisation
James Cook University
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Publisher: MDPI AG
Date: 26-08-2021
DOI: 10.3390/JRFM14090404
Abstract: Do foreign banks enjoy a competitive edge in the Chinese banking market or are they disadvantaged vis-à-vis domestic banks? This is the question that the present paper seeks to answer. The issue is important since on the one hand, these banks face the challenges the liability of foreignness brings, but at the same time, they have bank-specific advantages. We examine this issue in light of the literature of the liability of foreignness. In our path-breaking study, we found that due to the cost of foreignness, foreign banks’ performance was not as good as that of the local banks. Furthermore, despite the same amount of location- and bank-specific advantages, they performed badly as compared to their local counterparts. It was found that the cost of location-based disadvantages outweighed the cost of bank-specific disadvantages for foreign banks, and recent policy changes may help them overcome some of the cost of foreignness.
Publisher: Elsevier BV
Date: 2018
DOI: 10.2139/SSRN.3221991
Publisher: Oxford University Press (OUP)
Date: 27-04-2011
Abstract: The phytotoxicity of trace metals is of global concern due to contamination of the landscape by human activities. Using synchrotron-based x-ray fluorescence microscopy and x-ray absorption spectroscopy, the distribution and speciation of copper (Cu), nickel (Ni), and zinc (Zn) was examined in situ using hydrated roots of cowpea (Vigna unguiculata) exposed to 1.5 μm Cu, 5 μm Ni, or 40 μm Zn for 1 to 24 h. After 24 h of exposure, most Cu was bound to polygalacturonic acid of the rhizodermis and outer cortex, suggesting that binding of Cu to walls of cells in the rhizodermis possibly contributes to the toxic effects of Cu. When exposed to Zn, cortical concentrations remained comparatively low with much of the Zn accumulating in the meristematic region and moving into the stele approximately 60% to 85% of the total Zn stored as Zn phytate within 3 h of exposure. While Ni concentrations were high in both the cortex and meristem, concentrations in the stele were comparatively low. To our knowledge, this is the first report of the in situ distribution and speciation of Cu, Ni, and Zn in hydrated (and fresh) plant tissues, providing valuable information on the potential mechanisms by which they are toxic.
Publisher: American Association for the Advancement of Science (AAAS)
Date: 31-12-2022
DOI: 10.1080/20964129.2022.2130094
Abstract: In recent years, there has been widespread concern regarding the carbon footprint (CF) of food waste due to the key impact of CF on climate change, particularly as China’s food waste is rising with its economic development. China has the largest scale of higher education in the world, and the amount of food waste in university canteens is considerable and cannot be ignored. This study attempts to assess the carbon footprint (CF) of food waste at Chinese universities for the first time based on a national survey. It is estimated that 1.55 million tons of food were wasted in Chinese university canteens in 2018, based on 9,192 s les covering 29 provinces in China. The associated CF was 2.51 Mt CO2eq. The top two food categories contributing to the total CF were meat and grains, accounting for 46.28% and 36.52%, respectively. Furthermore, the location of the university was significantly associated with the CF of plate waste. It also indicated that household income, meal satisfaction, sex, education, meal days, and food-saving c aigns were important factors influencing the CF of food waste. This study highlights areas that can help reduce the environmental impact of plate waste. It also provides targeted measures to reduce the associated CF of food waste in Chinese universities.
Publisher: American Chemical Society (ACS)
Date: 20-10-2011
DOI: 10.1021/JA206203C
Publisher: Elsevier BV
Date: 10-2017
Publisher: Wiley
Date: 05-09-2014
DOI: 10.1002/TIE.21649
Publisher: Pageant Media US
Date: 31-01-2016
Publisher: Oxford University Press (OUP)
Date: 05-09-2010
DOI: 10.1093/JXB/ERQ270
Publisher: World Scientific Pub Co Pte Lt
Date: 03-2021
DOI: 10.1142/S0219091521500065
Abstract: While the fund performance management literature has clearly documented that the fund size, fund family size, and net cash flow are important antecedents of equity fund performance, prior empirical studies have revealed mixed results that have not been adequately explained. Through the lens of the contingency perspective, we developed a conceptual model that examines how the expense ratio and management compensation as contextual factors interact with the fund size, fund family size, and net cash flow to affect equity fund performance. The empirical analyses were based on panel data including 690 equity funds in China over a 7-year period from 2009 to 2015. The results show that the expense ratio and management compensation moderate the effects of the fund family size and net cash flow on fund performance, and management compensation also moderates the relationship between the fund size and fund performance.
Publisher: Wiley
Date: 07-06-2010
Publisher: Elsevier BV
Date: 11-2021
Publisher: AIP
Date: 2010
DOI: 10.1063/1.3399266
Publisher: AIP
Date: 2011
DOI: 10.1063/1.3625343
Publisher: Informa UK Limited
Date: 03-07-2020
Publisher: Springer Science and Business Media LLC
Date: 16-03-2022
Publisher: MDPI AG
Date: 08-10-2021
DOI: 10.3390/JRFM14100474
Abstract: Risk management has been a topic of great interest to Michael McAleer. Even as recent as 2020, his paper on risk management for COVID-19 was published. In his memory, this article is focused on bankruptcy risk in financial firms. For financial institutions in particular, banks are considered special, given that they perform risk management functions that are unique. Risks in banking arise from both internal and external factors. The GFC underlined the need for comprehensive risk management, and researchers since then have been working towards fulfilling that need. Similarly, the central banks across the world have begun periodic stress-testing of banks’ ability to withstand shocks. This paper investigates the machine-learning and statistical techniques used in the literature on bank failure prediction. The study finds that though considerable progress has been made using advanced statistical and computational techniques, given the complex nature of banking risk, the ability of statistical techniques to predict bank failures is limited. Machine-learning-based models are increasingly becoming popular due to their significant predictive ability. The paper also suggests the directions for future research.
Publisher: Springer Science and Business Media LLC
Date: 30-04-2011
DOI: 10.1007/S00216-011-4978-3
Abstract: X-ray fluorescence microscopy (XFM) facilitates high-sensitivity quantitative imaging of trace metals at high spatial resolution over large s le areas and can be applied to a erse range of biological s les. Accurate determination of elemental content from recorded spectra requires proper calibration of the XFM instrument under the relevant operating conditions. Here, we describe the manufacture, characterization, and utilization of multi-element thin-film reference foils for use in calibration of XFM measurements of biological and other specimens. We have used these internal standards to assess the two-dimensional distribution of trace metals in a thin tissue section of a rat hippoc us. The data used in this study was acquired at the XFM beamline of the Australian Synchrotron using a new 384-element array detector (Maia) and at beamline 2-ID-E at the Advanced Photon Source. Post-processing of s les by different fixation techniques was investigated, with the conclusion that differences in solvent type and s le handling can significantly alter elemental content. The present study highlights the quantitative capability, high statistical power, and versatility of the XFM technique for mapping trace metals in biological s les, e.g., brain tissue s les in order to help understand neurological processes, especially when implemented in conjunction with a high-performance detector such as Maia.
No related grants have been discovered for Li Xian Liu.