Andy Cheng

Technology and regulation exert significant impacts on business decision-making; as such, technology law has become an indispensable part of business education. The ethical components embedded in technology regulation modules are designed to equip future business professionals with fundamental values and rules that both guide and facilitate their decision-making. However, owing to the interdisciplinary nature of such a module and because it is frequently offered as a service module, unique instructional challenges arise. This paper identifies problem-based learning (PBL) as the main suitable pedagogical method for teaching ethical content in such a module, supplemented by scenario-based learning (SBL), because they effectively contextualise the relevant module content, create an environment that simulates real-life scenarios where moral dilemmas reside, and contribute to the module learning outcome in fostering a sustainability competency in students. Through a theoretical discussion based on concrete examples (a bitcoin transaction’s ethical issues in the environmental, social and governance (ESG) context and ethical dilemmas related to abortion rights), this paper aims to guide future studies on how to deliver ethical content within a technology law module.

This study examines the sustainability of financial integration between China (represented by Shenzhen and Shanghai) stock markets and Hong Kong stock market over the period of pre and post launch of the Stock Connect Scheme. This paper aims to fill the gap in the financial literature by providing empirical research on the dynamics of the financial integration process, and examining the sustainability of financial integration among the three Chinese stock markets. We apply cointegration and both linear and nonlinear causalities to investigate whether the Shanghai–Hong Kong Stock Connect has any impact on both market capitalizations and market indices of Hong Kong, Shanghai, and Shenzhen markets. Through cointegration tests and linear Granger causality techniques, it was found that the stock markets from mainland China are increasingly influencing the Hong Kong stock market after the introduction of the Stock Connect Scheme; however, when using nonlinear Granger causality analysis for confirming China market dominance, the result shows an reverse relationship whereby the Hong Kong stock market is still relevant to understand and predict China stock market after the introduction of the Stock Connect Scheme. Overall, our findings support the view that the Shanghai–Hong Kong Stock Connect has a significant impact on both market capitalizations and market indices of the Hong Kong, Shanghai, and Shenzhen markets, but Hong Kong stock market is still relevant to understand and predict China stock market after the introduction of the Stock Connect Scheme. The change in share premium difference between mainland China’s domestic A-share markets and Hong Kong’s H-share market could change investors’ appetites or sentiments. Further research includes examining whether there is any functional relationship including nonlinear relationship and studying the dynamic drivers of the relationships.