Biography

Dr SHUM received her doctorate in Economics from University of East Anglia. She has held a number of research and teaching positions at Lingnan University, Hong Kong Baptist University and University of East Anglia (UEA). She has taught undergraduate and postgraduate courses at UEA. Before joining Hang Seng Management College, she worked as a senior project officer (research) at Pan Sutong Shanghai-Hong Kong Economic Policy Research Center, Lingnan University. Her research interests are in time series analysis and panel data econometrics.

Research and Teaching Interests

• Time Series Analysis and Panel Data Analysis

Intellectual Contributions (Publications, Conferences, Books, Book Chapters, etc.)

• SHANG, Y., XIA, Z., XIAO, Z., & SHUM, W. Y. (2024). An analysis of the time-lag effect of global geopolitical risk on business cycle based on visibility graph technique. Technological Forecasting and Social Change, 209, 123823. https://doi.org/10.1016/j.techfore.2024.123823
• Li, Y., Ye, C., Li, M., Shum, W. Y., & Lai, F. (2024). Regional FinTech development and total factor productivity among firms: Evidence from China. The North American Journal of Economics and Finance, 102304–102304. https://doi.org/10.1016/j.najef.2024.102304
• Liu, Y., Zheng, M., & Shum, W. Y. (2024). On the linkages between digital finance and real economy in China: A cointegration analysis. Innovation and Green Development, 3(1), 100109. https://doi.org/10.1016/j.igd.2023.100109
• Li, X., Feng, G., Shum, W. Y., & Chui, K. H. (2023). The Impacts of Digital Transformation on Labor Income Share: Evidence from China. Emerging Markets Finance and Trade, 60(6), 1265-1280. https://doi.org/10.1080/1540496x.2023.2273996
• Tan, X., Sun, Q., Wang, M., Cheong, T. S., Shum, W. Y., & Huang, J. (2022). Assessing the effects of emissions trading systems on energy consumption and energy mix. Applied Energy, 310, 118583. https://doi.org/10.1016/j.apenergy.2022.118583
• Li, J., Cheong, T. S., Huang, W., & Shum, W. Y. (2022). Examining the Regional Disparity of Agricultural Development: A Distribution Dynamics approach. Sustainability, 14(19), 12779. https://doi.org/10.3390/su141912779
• Ma, N., Shum, W. Y., Han, T., & Cheong, T. S. (2021a). Global Industrial Development: Insights from the Distribution Dynamics Approach for the Post COVID Era. Frontiers in Public Health, 9. https://doi.org/10.3389/fpubh.2021.792947
• Ma, N., Shum, W. Y., Han, T., & Cheong, T. S. (2021b). Global inequality in service sector Development: Trend and convergence. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.792950
• Ma, N., Shum, W. Y., Han, T., & Lai, F. (2021). Can Machine Learning be Applied to Carbon Emissions Analysis: An Application to the CO2 Emissions Analysis Using Gaussian Process Regression. Frontiers in Energy Research, 9. https://doi.org/10.3389/fenrg.2021.756311
• Shen, J., Shum, W. Y., Cheong, T. S., & Wang, L. (2021). COVID-19 and regional income inequality in China. Frontiers in Public Health, 9. https://doi.org/10.3389/fpubh.2021.687152
• Shum, W. Y., Ma, N., Lin, X., & Han, T. (2021). The major driving factors of carbon emissions in China and their relative importance: an application of the LASSO model. Frontiers in Energy Research, 9. https://doi.org/10.3389/fenrg.2021.726127
• Shum, W. Y. (2020). Modelling conditional skewness: Heterogeneous beliefs, short sale restrictions, and market declines. North American Journal of Economics and Finance, 51, 101070. https://doi.org/10.1016/j.najef.2019.101070
• Shum, W. Y., & Cheng, W. W. (2019). Pairs trading with Bitcoin. The Hang Seng University of Hong Kong Business Review, 2(2), 51-58.