mathematics
Article
A Case Study of the Impact of Climate Change on Agricultural
Loan Credit Risk
Jagdeep Kaur Brar
1,*
, Antoine Kornprobst
2
, Willard John Braun
3
, Matthew Davison
2
and Warren Hare
4
Citation: Kaur Brar, J.; Kornprobst,
A.; Braun, W.J.; Davison, M.; Hare, W.
A Case Study of the Impact of
Climate Change on Agricultural Loan
Credit Risk. Mathematics 2021, 9, 3058.
https://doi.org/10.3390/math9233058
Academic Editor: Marianito Rodrigo
Received: 18 October 2021
Accepted: 24 November 2021
Published: 28 November 2021
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1
Department of Mathematics & Statistics, University of British Columbia, Okanagan Campus (UBCO),
Kelowna, BC V1V 1V7, Canada
2
School of Statistics & Actuarial Sciences, University of Western Ontario (UWO), London,
ON N6A 3K7, Canada; akornpro@uwo.ca (A.K.); mdavison@uwo.ca (M.D.)
3
Department of Computer Science, Mathematics, Physics and Statistics, University of British Columbia,
Okanagan Campus (UBCO), Kelowna, BC V1V 1V7, Canada; John.Braun@ubc.ca
4
Department of Mathematics, University of British Columbia, Okanagan Campus (UBCO),
Kelowna, BC V1V 1V7, Canada; Warren.Hare@ubc.ca
* Correspondence: jkaur87@student.ubc.ca
Abstract: Changing weather patterns may impose increased risk to the creditworthiness of financial
institutions in the agriculture sector. To reduce the credit risk caused by climate change, financial
institutions need to update their agricultural lending portfolios to consider climate change scenarios.
In this paper we introduce a framework to compute the optimal agricultural lending portfolio
under different increased temperature scenarios. In this way we quantify the impact of increased
temperature, taken as a measure of climate change, on credit risk. We provide a detailed case study
of how our approach applies to the problem of optimizing a portfolio of agricultural loans made
to corn farmers across different corn producing regions of Ontario, Canada, under various climate
change scenarios. We conclude that the lending portfolio obtained by taking into account the climate
change is less risky than the lending portfolio neglecting climate change.
Keywords: credit risk; climate change scenario; conditional value at risk; optimal lending portfolio
1. Introduction
The impacts of climate change are manifesting through rising sea levels, reduced ice
cover, extreme weather events, erratic weather patterns, and record-breaking temperatures
across the globe. The Intergovernmental Panel on Climate Change (IPCC) forecasts a
temperature rise of 1.4 to 5.5 Celsius degrees over the next century. The IPCC projects that
a temperature increase of 1 to 3 degrees over 1990 levels will not only have differential
impacts across regions, but it may also have varying impacts across different economic
sectors. Agriculture, due to the strong dependence of crop yields on both weather and
climate, is one of the most climate sensitive sectors and is the focus of the current study.
This study examines how climate change models can be used in portfolio optimization of
loans to the agricultural sector, and how climate change impacts credit risk.
The impact of climate change on the regional and global production of cereals in-
cluding wheat, rice, maize (which we call corn in this study), and soybean is performed
in [1] which shows that a large increase in global temperature may cause a substantial
decrease in crop production both globally and across many regions by 2080. This result is
supported by [2], which demonstrates the negative impact of rising temperatures on the
global production of wheat, corn, and barley.
Climate change impacts food production both through temperature changes and
precipitation changes. A study [3] analyzed the impacts of future climate scenarios of
2 degrees warming and 20% precipitation decline on corn yield at nearly 200 Sub-Saharan
Africa sites, using the CERES corn model. The study predicts an impact of between 11.4%
Mathematics 2021, 9, 3058. https://doi.org/10.3390/math9233058 https://www.mdpi.com/journal/mathematics