Welcome to the new Schulich Peer-Reviewed Publication Database!
The database is currently in beta-testing and will be updated with more features as time goes on. In the meantime, stakeholders are free to explore our faculty’s numerous works. The left-hand panel affords the ability to search by the following:
- Faculty Member’s Name;
- Area of Expertise;
- Whether the Publication is Open-Access (free for public download);
- Journal Name; and
- Date Range.
At present, the database covers publications from 2012 to 2020, but will extend further back in the future. In addition to listing publications, the database includes two types of impact metrics: Altmetrics and Plum. The database will be updated annually with most recent publications from our faculty.
If you have any questions or input, please don’t hesitate to get in touch.
Liddle, B. and Sadorsky, P. (2020). "How Much Do Asymmetric Changes in Income and Energy Prices Affect Energy Demand?", The Journal of Economic Asymmetries, 21.
AbstractThis paper uses a large unique panel data set of 91 OECD and non-OECD countries and recently developed panel regression estimation techniques to answer the question by how much energy demand changes when income and energy prices display asymmetric effects. Both long run and short run impacts are studied. For the full sample, we find the short run impact of a 1% increase in GDP increases energy consumption by 0.35% while a 1% decrease in GDP decreases energy consumption by 0.68%. These values are similar across different country groupings. GDP decreases have a larger impact on energy consumption than increases in GDP by a factor of approximately 2 to 1. We do not, however, find any evidence of asymmetric long run GDP effects. The result that energy demand falls more proportionally when GDP falls then when GDP rises has implications for energy policy and energy demand forecasting. There is evidence of long run price asymmetry for the OECD countries.
Day, J., Kristal, M., Pathak, S. and Sawaya, W. (2015). "Sensing Abnormal Resource Flow Using Adaptive Limit Process Charts in a Complex Supply Network", Decision Sciences, 46(5), 961–979.