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"This is the first book to collect academic studies examining issues related to the potential internationalization of the remninbi. It considers polisy implications, documents the rising regional importance of the renminbi and discusses key issues in the increasing use of the renminbi in international trade and finance"--Provided by publisher

China's rapid development has drawn worldwide attention and has been referred to as a "peaceful rise" in recent years. The country's booming economy feeds Beijing's insatiable thirst for sufficient, stable, and secure energy sources. This article argues that Iran's plentiful oil reserves and its capacity to produce and export vast quantities of oil make Tehran a natural partner as China pursues its goal of rising to global‐power status. Furthermore, Iran's location on the "Energy Silk Road" to China is potentially of great significance for Beijing as it seeks to break out of the "Malacca predicament." This article suggests that China sees an important role for Iran in securing its oil supply and pursuing a "westward oil strategy." The article also demonstrates that China's energy ties with Iran are constrained and conditioned by Sino‐U.S. cooperation and competition and by the Middle Eastern power structure.

China's rapid development has drawn worldwide attention and has been referred to as a 'peaceful rise' in recent years. The country's booming economy feeds Beijing's insatiable thirst for sufficient, stable, and secure energy sources. This article argues that Iran's plentiful oil reserves and its capacity to produce and export vast quantities of oil make Tehran a natural partner as China pursues its goal of rising to global-power status. Furthermore, Iran's location on the 'Energy Silk Road' to China is potentially of great significance for Beijing as it seeks to break out of the 'Malacca predicament.' This article suggests that China sees an important role for Iran in securing its oil supply and pursuing a 'westward oil strategy.' The article also demonstrates that China's energy ties with Iran are constrained and conditioned by Sino-U.S. cooperation and competition and by the Middle Eastern power structure. Adapted from the source document.

This study developed an expert network evaluation framework to assess the
critical factors contributing to tax evasion in business tax. First, the
framework established a network comprising three perspectives and fifteen
indicators through the modified Delphi method (MDM). Then, the analytic
network process (ANP) was applied to determine the relative weights of the
evaluative criteria. Finally, the application of the framework ranked the
critical factors of tax evasion in business tax. As a result, tax
authorities can utilize this novel framework to integrate key factors, set
thresholds, and detect suspicious tax evasion activities, thereby promoting
tax fairness. The proposed framework enhances the efficiency of authorities
and governments in evaluating suspicious tax evasion cases. Academically, it
addresses a gap in research by applying network concepts and methodologies
to assess suspicious tax evasion activities. Commercially, the model aids in
diagnosing and evaluating key factors influencing tax evasion in the
business sector.

PurposeThis paper aims to examine the influence of individual internal principles and perceived external factors on the ethical attitudes toward environmental practices, on the part of Taiwanese environmental business managers.Design/methodology/approachThe analysis of 295 pretest samples, moral intensity on environmental issues was divided into "perception of environmental harm" and "perceived immediacy and stress". Following this, a questionnaire survey of environmental managers from the top 1,000 enterprises was conducted with 203 valid samples analyzed by a structural equation model.FindingsThe research findings demonstrated that moral intensity concerning environmental issues is not as significant as expected, and had less influence than environmental ethics. Assuming that part of the reason for this is that moral intensity is generally based on a viewpoint of teleology, the paper proposes some discussion and suggestions.Research limitations/implicationsSome limitations existed during this research, especially in the data collection or analyzing process. However, besides teleology, there are many other viewpoints of moral philosophy.Practical implicationsEnvironmental ethics is regarded as an internal principle, whereas the perceived moral intensity of managers on environmental issues is treated as an external factor. People's ethical decisions might be based on different views of moral philosophy such as teleology, deontology, or virtue ethics.Originality/valueSince there was no suitable questionnaire related to moral intensity on environmental issues in the past, the paper presents a new questionnaire which used exploratory factor analysis to allocate moral intensity concerning environmental issues into two components: "perception of environmental harm" and "perceived immediacy and stress".

Traffic prediction is a critical task for intelligent transportation systems (ITS). Prediction at intersections is challenging as it involves various participants, such as vehicles, cyclists, and pedestrians. In this paper, we propose a novel approach for the accurate intersection traffic prediction by introducing extra data sources other than road traffic volume data into the prediction model. In particular, we take advantage of the data collected from the reports of road accidents and roadworks happening near the intersections. In addition, we investigate two types of learning schemes, namely batch learning and online learning. Three popular ensemble decision tree models are used in the batch learning scheme, including Gradient Boosting Regression Trees (GBRT), Random Forest (RF) and Extreme Gradient Boosting Trees (XGBoost), while the Fast Incremental Model Trees with Drift Detection (FIMT-DD) model is adopted for the online learning scheme. The proposed approach is evaluated using public data sets released by the Victorian Government of Australia. The results indicate that the accuracy of intersection traffic prediction can be improved by incorporating nearby accidents and roadworks information.

Our aim in this study was to probe into the factors of team members' team commitment in order to determine if members' teamwork behaviors significantly influence their trust, and if the members' perception of team support influences their attitude or behavior within a team. A total
of 548 questionnaires were distributed to teams participating in competitions, and 206 valid samples were collected (rate of return = 38%). The results of structural equation modeling showed that teamwork behaviors, trust, and perceived team support significantly influenced team commitment,
teamwork behaviors significantly influenced trust among the members, and perceived team support significantly influenced teamwork behaviors, trust, and team commitment.