Publications Database

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.

 

Search Results

Nedopil, C., Dordi, T., & Weber, O. (2021). "The Nature of Global Green Finance Standards—Evolution, Differences, and Three Models", Sustainability, 13(7), 3723.

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Keywords
Abstract (1) Background: Green finance standards have proliferated with much need for harmonization to accelerate global green financial flows. However, little is known on the nature of green finance standards that accelerates differentiation, rather than harmonization. Therefore, we embark to answer the question what the nature of green finance standards is and specifically how green finance standards have evolved in major economic systems driven by different actors and leading to differences and commonalities over time and environmental focus area. (2) Methods: To analyze the question, we build a model based on institutional and standards theory and apply text analysis and statistical methods to analyze 84 green finance standards issued from 1998 to 2020. (3) Results: we find clear evidence that green finance standards evolve depending on economic governance types (e.g., market-based, government-based and in weak institutional environments), environmental focus areas (e.g., pollution, climate, biodiversity) and depend on actors in government, intermediaries and developing financial institutions. We also show that this development has been dynamic over the last few decades. We further test and confirm three models of green finance standards: output-based, input-based and process standards that have evolved. With the findings, we aim to provide a better foundation for both research and policy in future green finance standard research, development and harmonization.

Cui, Y., Geobey, S., Weber, O., & Lin, H. (2018). "The Impact of Green Lending on Credit Risk in China", Sustainability, 10(6), 2008.

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Keywords
Abstract This study explores China’s green credit policy from a credit risk perspective. Green finance has been growing rapidly in China since the government issued its Green Credit Policy. The objective of this study is to explore whether green loans are less risky than non-green loans. Based on a five-year dataset of 24 Chinese banks, we used panel regression techniques, including two-stage least square regression analysis and random-effect panel regression to examine whether a higher green credit ratio reduces a bank’s non-performing loan ratio (NPL ratio). The results suggest that allocating more green loans to the total loan portfolio does reduce a bank’s NPL ratio. We conclude that institutional pressure by the Chinese Green Credit Policy has a positive effect on both the environmental and the financial performance of banks. The study contributes to the literature on the correlation between green lending and credit risks, as well as to the literature on the impact of institutional pressure on environmental and financial risks.