The Korean Society of Climate Change Research 1

Journal of Climate Change Research - Vol. 14 , No. 6_1

[ Article ]
Journal of Climate Change Research - Vol. 14, No. 6-1, pp. 673-687
Abbreviation: J.Climate Change Res.
ISSN: 2093-5919 (Print) 2586-2782 (Online)
Print publication date 31 Dec 2023
Received 28 Aug 2023 Revised 27 Oct 2023 Accepted 15 Nov 2023
DOI: https://doi.org/10.15531/KSCCR.2023.14.6.673

Climate risks assessment of Ireland’s economy and the policy implications for the Republic of Korea
Phillips, Dafydd* ; Jung, Tae Yong**,
*Researcher, Center for Global Integrated Assessment Modeling, Yonsei University, Seoul, Korea
**Professor, Graduate School of International Studies, Yonsei University, Seoul, Korea

Correspondence to : tyjung00@yonsei.ac.kr (03722, #517, New Millennium Hall, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, Korea. Tel. +2-2123-3594)

Funding Information ▼

Abstract

This paper compares Ireland’s physical and transition climate risk costs by estimating potential losses to properties through flood disaster damages in a scenario in which global greenhouse gas emissions continue to rise (RCP 8.5 scenario), as well as potential near-term financial losses to greenhouse gas emission intensive sectors in a disorderly short-term green transition scenario. The potential costs of physical climate risk in Ireland are calculated based on future flood risk estimates by region data obtained from the JBA Risk Management flood model, which estimates future flood risk to properties via geocoding in a RCP 8.5 scenario by region, combined with mortgage and property value data from banks operating in the Irish market. Estimates of Ireland’s transition risk costs are made with data from the European Central Bank’s 2022 climate risk stress test and loans based on sector data from bank financial statements. This study finds that Ireland faces significant physical and transition risks related to climate change. The near-term economic losses from a rapid green transition are estimated to be smaller than losses from climate change-induced physical risk related to increased flooding, thus providing support for the necessity of an orderly near-term green transition to mitigate the long-term threat of physical impacts from climate change. This study concludes by discussing policy implications for the Republic of Korea as the country shares various similarities with Ireland and also faces significant physical and transition risk costs.


Keywords: Transition risks, Financial stability, Physical risks, Flood disasters, Ireland

1. Introduction

The European Union (EU) has pledged to achieve carbon neutrality by 2050 and achieve at least a 55% reduction in greenhouse gas (GHG) emissions by 2030 relative to 1990 levels. The Republic of Ireland, hereafter referred to as Ireland, has pledged to reduce its GHG emissions by 51% by 2030 relative to 2018 levels (Government of Ireland, 2023). As an EU member state, Ireland’s GHG emission reduction targets are established under EU Effort Sharing Regulation and are legally binding (European Commission, 2023), and Ireland could have to pay multibillion fines if the emission reduction targets are not met (Irish Times, 2019). However, Ireland’s Environment Protection Agency (EPA) predicts that on its current policy trajectory Ireland will reach 29% reduction of GHG emissions by 2030 compared to its 2018 levels, well below the government stated 51% reduction target (EPA, 2023).

As shown in (Fig. 1), Ireland’s agricultural sector and transport sector together emit 55.7% of Ireland’s total GHG emissions. Ireland’s agriculture emissions are hugely disproportionate to its overall economic importance, with the agriculture sector contributing only around 1.02% to the GDP of Ireland in 2021 (Central Statistics Office, 2023). In terms of emission reductions by sector, only Ireland’s energy sector is achieving significant progress with 36.4% of electricity being from renewable energy sources in 2021 (SEAI, 2022).


Fig. 1. 
Ireland GHG emission by sector, 2021

Source: Ireland EPA



Ireland’s GHG emissions per capita were the second highest in the EU in 2021 at 12.34 metric tons of CO2 equivalent (MTCO2e), behind Luxembourg at 14.67 MTCO2e (EEA, 2022). In 2022, Ireland’s GDP per capita was sixth in the world at $104,038 current USD (World Bank, 2023), therefore has much more economic capacity to greatly reduce its GHG emissions compared to most other countries, particularly developing countries.

Ireland is vulnerable to climate change through both physical and transition risks. Physical risks are direct costs of climate change through the increased frequency of extreme weather events, such as heatwaves and storms, and the long-term changes in countries’ climates, such as average higher temperatures and alternations of rain patterns. Transition risks are the economic costs of transitioning to a carbon neutral economy, which may occur through various channels such rising carbon prices and other GHG mitigation polices, changes in investor and societal preferences, and the continuing decrease in the levelized cost of electricity (LCOE) from renewable energy and other technological innovations (Bolton et al., 2020). The physical impacts of climate change, particularly flooding, have the potential to inflict immense damage to housing, commercial property and critical infrastructure in Ireland, resulting in major economic costs and threats to human health (Scott et al., 2022). Policies to reduce GHG emissions incur major economic costs (Kim, Moon, et al., 2023) and Ireland also faces major transition risks with GHG mitigation policies and technology potentially inducing major asset value declines (Central Bank of Ireland, 2022). Understanding, quantifying, and comparing both physical and transition risks is vital for long-term stability of Ireland’s financial system and economy.

There are significant knowledge gaps regarding the potential costs that the physical and transition risks of climate change pose to Ireland’s financial system and wider economy. Conducting comparisons between physical risk and transition risk costs is extremely difficult due to the differing time horizons of the risks and their associated damages. Despite this difficult it is necessary and urgent to develop methodologies to compare these risks to empower policy makers and stakeholders to make informed decision about potential costs and benefits of alternative policy pathways. This issue is currently one of the major challenges faced by climate change researchers. Methodologies for achieving this are still under development, with integrated assessment models (IAMs) being one of the most common means of attempting to such complex, long-term, interdisciplinary analysis (Hickmann et al., 2022). Transition risk is a far more near-term risk, thus it the methodologies for assessing it reflect this. Common methods include the application of dynamic stochastic general equilibrium (DSGE) models Bartocci et al., (2022), with economic damages calculations ranging from a few years (Carlin et al., 2022) to 2030 (Coenen et al., 2023). Methods of quantifying and comparing physical climate risk and transition risks are still in the early stages, and this research aims to contribute to the development of such methodologies. This research seeks to contribute to addressing the knowledge gap regarding the relative costs of physical and transition risks in Ireland by assessing Ireland’s climate risks by estimating potential losses to properties through flood disaster damages in a RCP 8.5 scenario and potential near-term financial losses to GHG emission intensive sectors in a disorderly short-term green transition scenario.

The representative concentration pathways (RCPs) are specific emission scenarios which include data on land use and land cover developed from peer-reviewed literature (Moss et al., 2010). The RCP8.5 scenario is a scenario in which emissions continue to rise rapidly and was developed through the MESSAGE IAM (Rao and Riahi, 2006; Riahi et al., 2007). The RCP8.5 is often compared with the RCP2.6 scenario which entails global warming likely being kept below 2°C above pre-industrial temperatures, and the two medium stabilisation pathways of the RCP 4.5 and the RCP 6.0 scenarios which are simulated through the GCAM and AIM IAMs (Fujino et al., 2016; Thomson et al., 2011).

The paper begins by providing background regarding the nature of Ireland’s climate risks, proceeds to outline the data and methodology utilized and their subsequent findings, and concludes by discussing the policy implications of the findings for the Republic of Korea, the importance of a long-term perspective when considering the costs and benefits of climate action, and concludes by discussing the limitations of the study.


2. Ireland’s climate risks

If global GHG emissions continue to rise and the aims of the Paris Agreement of keeping global warming under 2° are not met, Ireland would be severely impacted by the physical impacts of climate change (Nolan and Flanagan, 2020). Climate change would cause higher market volatility (Noh and Park, 2023) and global warming induced changes in in streamflow patterns would reduce hydropower electricity generation capacity (Dallison and Patil, 2023). Agricultural productivity would be detrimentally impacted (White et al., 2021), and Ireland’s biodiversity is also undermined as fauna struggle to adjust to the rapidly changing climate (Furness and Robinson, 2019). As Ireland has historically not faced regular heat waves, its indoor cooling infrastructure is extremely limited meaning increased frequency of periods of high temperatures pose particular danger to vulnerable groups (Paterson and Godsmark, 2020).

One of most significant dangers facing Ireland if climate change remains unmitigated and worsens is flooding disasters (Basu et al., 2022). Various features of Ireland’s topography such as its large coastlines relative to total landmass ratio and urbanization in flood risk regions increase Ireland’s exposure to flooding and the country is highly vulnerable to increased flooding if global temperature continue to rise as due to sea levels rising and the greater frequency of extreme storm events (Paranunzio et al., 2022). Areas susceptible to flooding in Ireland would greatly rise under a RCP 8.5 scenario, posing major challenges to water management and water quality (Murphy et al., 2023; O’Loughlin and Mozafari, 2023). Critical transport, information and Communications Technology (ICT), and energy infrastructure would also face major damages from greater flooding (Hawchar et al., 2020). (Fig 2.) shows how rises in sea levels in a RCP 8.5 scenario would affect Ireland’s three largest cities; Dublin, Cork, and Limerick.


Fig. 2. 
Area in Ireland’s three cities projected to be below tideline in 2100 in RCP 8.5 scenario

Source: Climate Central (2023)



To achieve 2050 carbon neutrality, Ireland would need to enact green transition consistent investment decisions over the next 5 years yet such as a development pathway would entail near-term GDP losses relative to business as usual pathway (Glynn et al., 2019). Rising carbon prices would put pressure on both Irish business and households (Kelly et al., 2020). Ireland is also susceptible to transition risks the country a small open economy it is vulnerable to sudden capital flow shocks with analysis from Ireland’s Central Bank finding concluding that transition risks from abroad will likely be particularly prominent in the country (Central Bank of Ireland, 2022). Ireland has experienced devastating impacts of banking and financial sector crises. The banking stabilisation measures in response to the 2007/2008 financial crisis incurring a net cost €40-42.4 billion to the Irish government (C&AG, 2018). Ireland’s financial sector is growing particularly post-Brexit as many British financial companies have moved their operations to Ireland in order to continue to operate within the EU regulatory framework. Many of Europe’s largest fund management companies are located in Ireland, with total assets overseen by management companies in Ireland reaching €1.3 trillion in 2018 (Financial Times, 2019). These management companies serve as operating planforms for Undertakings for the Collective Investment in Transferable Securities (UCITS) and Alternative Investment Funds (AIFs). UCITS are predominantly designed for retail investors and perceived as safe due to the strict regulations regarding what type of assets can be included in an UCITS, and AIFs are any fund other than a UCITS, and can include risker assets such as property and derivatives (European Securities and Markets Authority, 2023). Ireland may be exposed to transition risk through these management companies as sudden changes in Ireland’s regulatory structure could prompt their relocation.

The Central Bank of Ireland releases its own climate-related financial disclosures yearly which includes a weighted average carbon intensity (WACI) unit to quantify portfolios exposure to carbon-intensive issuers, which is expressed in tCO2e per million Euro revenue or GDP, as well a total carbon emissions (TCE) metric which measures the total emissions in tCO2e associated with a portfolio (Central Bank of Ireland, 2023). However, are still significant knowledge gaps regarding Ireland’s potential physical and transition risks, as such measures do not focus on bank level loan portfolios and thus are unable to be utilized to create climate risk stress tests.


3. Methodology
3.1. Physical risk assessment

To create an estimate of Ireland’s physical risk from climate change, this study focuses on future flood risk to properties. Data of property mortgages were accessed and compiled from reports and balance sheet statements from each of the five banks which provide mortgages in the Irish market: Bank of Ireland, Allied Irish Banks (AIB) Group, permanent TSB, KBC Bank Ireland, and Ulster Bank, as well as the three non-bank lenders of ICS/Dilosk, Finance Ireland and Avant Money. Ireland mortgage market is dominated by its two largest banks, the Bank of Ireland and the AIB Group, which hold 51% and 40% of total mortgages outstanding. Using share of mortgage lending volume by county data from the Banking & Payments Federation Ireland (BPFI), the total volume of mortgages outstanding in each county was calculated (BPFI, 2023). As previously stated, this study only includes the Republic of Ireland, thus the six counties of Northern Ireland are not included. As shown in Fig. 3, mortgage lending value is primary focused in the capital, Dublin, and surrounding counties.


Fig. 3. 
Share of Ireland mortgage lending value by county, 2022

Source: BPFI (2023)



The estimates of future flood risk according to regions is from JBA Risk Management, which estimated future flood risk to properties locations via geocoding in a flood model based on RCP 8.5 Pathway in which GHG emissions continue to increase (JBA Risk Management, 2023). Flood risk from this model has been utilized in the Bank of Ireland’s assessment of their mortgage portfolio risk in the United Kingdom and the Republic of Ireland (Bank of Ireland, 2022). County level mortgages were compiled according to the regions of the JBA flood model and using the percentage of regional lending at risk data, total potential losses through flooding in the RCP 8.5 scenario could be estimated according to the following equation:

Banks total mortage volume at risk=i=1kMiRi(1) 

where i is the region, k is the number of regions, M is the volume of outstanding mortgages, and is R the percentage of lending at risk from JBA flood model.

Next, this study seeks to create an estimate of potential flood damage to the national housing stock. The rationale behind the study also including 'Property value at risk' from flooding is that from a long-term total society welfare perspective relevant physical risk costs are not just limited to private sector bank loan losses but would also include national level costs including property losses by individual households. In order to do this, total housing stock by county data from the Ireland’s 2022 Census (Central Statistics Office, 2022), with is multiplied by the average house price data (Real Estate Alliance, 2023), to estimate the total property value by each county. To address the fact that vacant properties usually remain unsold in the housing market and may be worth substantially less than occupied properties, vacant properties are excluded by deducing the percentage of vacant properties from the county level housing stock prior to multiplication. The county level total property values are then merged into the regions of the JBA flood risk model and using the regional lending at risk parameter the total potential property losses in the RCP 8.5 scenario are calculated.

Region total property value=c=1jHcOcPc(2) 

where c is the county, j is the number of counties in the region, H is the housing stock, O is the percentage of properties occupied, and P is the average house price.

National property value at risk=i=1kViNi(3) 

where i is the region, k is the number of regions, V is the total property value, and N is the percentage of lending at risk parameter based on JBA flood risk model.

3.2. Transition risk assessment

To estimate Ireland’s transition risk potential loan losses through defaults of banks outstanding loans for each sector in disorderly transition scenario are calculated. Only the Bank of Ireland and AIB Group are analysed as the total holdings in climate risk vulnerable sectors are negligible in the other six financial institutions. Each sector faces a different degree of transition risk; thus, the probability of default differs by sector. Emission intensities are particularly high from the agricultural, energy, transport, and manufacturing sectors (KBC, 2022), and these are the four highest risk sectors AIB recognises in its own analysis (AIB Group plc, 2022). Probability of default by sector estimates are accessed from the European Central Bank’s 2022 Climate Risk Stress Test (ECB, 2022) and are applied to the current loan holdings by sector of Bank of Ireland and the AIB Group. [Fig. 4] shows the sectoral impact in terms of cumulative loan losses as a share of total sector loans in basis point units in the ECB’s short-term disorderly scenario compared to the baseline scenario from 2022 to 2024.


Fig. 4. 
Cumulative loan losses in the short-term disorderly vs baseline scenario

Source: ECB (2022)



The loans losses as a percentage of total loans by sector are applied as parameters to the assets by sector of the Bank of Ireland and the AIB Group to assess Irish banks near-term losses from transition risk in the following formula:

Loan loss value in rapid green transition=s=1tAsLs(4) 

where s is the sector, t is the number of transition risk exposed sectors, A is the total assets of each sector held by the bank, and L is the cumulative percentage asset value at risk parameter from the ECB 2022 stress test.

Table 1 shows loan by sector holdings of the Bank of Ireland and AIB group as percentages of their total loan holdings. Climate vulnerable sectors account for about 15% of total loans outstanding for each of the two banks.

Table 1. 
Bank’s sector loans as percentage of total outstanding loans
Sector Bank of Ireland, sector % of total outstanding loans AIB group, sector % of total outstanding loans
Mining 0.1% -
Agriculture 2.4% 2.8%
Energy 0.6% 4.6%
Transport 1.1% 4.2%
Manufacturing 6.6% 4.7%
Motor lending 3.5% -
Total 14.3% 16.3%

Cumulative loan losses percentage from the ECB climate stress test (ECB, 2022) are applied to each sector as parameters. For the manufacturing sector it is necessary to further delineate between different manufacturing sub sectors as their GHG emissive intensities greatly differ. As the financial statements of the banks do not provide such detailed information, the loan volume by manufacturing sub-sectors is calculated from the assumption that the banks’ loans volumes to each sub-sector is proportionally to the sub-sector size as percentage of the total manufacturing sector. This data was accessed from Ireland’s Central Statistics Office (CSO), net selling value by sub-sector 2021 (CSO, 2023). As the mining sector is already included as a separate sector in the banks’ financial statements, the mining sector is removed from the manufacturing sub-sector calculations to avoid double counting.


4. Results

In a RCP 8.5 scenario, Ireland faces major physical risk from flooding disasters due to climate change. About 1.6% of total mortgage lending would be at risk, resulting in substantial asset write offs on the financial institutions balance sheets. Table 2 shows cumulative loan losses of the Bank of Ireland and the AIB group due to flood losses until 2100 in a RCP 8.5 scenario. As shown in Table 2, the capital region Dublin consists of nearly half of total lending value at risk as mortgage lending is most concentrated in this region and the area faces large scale flooding due to unmitigated climate change.

Table 2. 
Loan losses due to flooding by region in a RCP 8.5 scenario
Region Lending at risk value from
flooding by region, million Euro
Region's lending value at risk from
flooding as % of national total
Dublin €550.6m 45.9%
South West
(Cork, Kerry)
€174.6m 14.5%
Mid East
(Kildare, Louth, Meath, Wicklow)
€154.2m 12.8%
Mid West
(Clare, Limerick, Tipperary)
€134.3m 11.2%
South East
(Carlow, Kilkenny, Waterford, Wexford)
€115.1m 9.6%
Border
(Leitrim, Sligo, Cavan, Donegal, Monaghan)
€50.5m 4.2%
West
(Galway, Mayo, Roscommon)
€17.1m 1.4%
Midlands
(Laois, Longford, Offaly, Westmeath)
€4.3m 0.4%
Total €1,200.6m 100%

Beyond the scope financial sector, the larger impacts of flooding disasters on Ireland’s property stock would likely be substantial. Table 3 shows an estimation of national property value losses until 2100 in a RCP 8.5 scenario. The total estimated losses reach over €10 billion in a RCP 8.5 scenario, with the majority of losses being focused in the Dublin area due to the high average value of properties in the region, the housing stock density, and the regions high flood risk.

Table 3. 
National property value at risk due to flooding by region in a RCP 8.5 scenario
Region Lending at risk value from
flooding by region, million Euro
Region's lending value at risk from
flooding as % of national total
Dublin €5,603.6m 55.6%
South West
(Cork, Kerry)
€1,462.9m 14.5%
Mid East
(Kildare, Louth, Meath, Wicklow)
€935.6m 9.3%
Mid West
(Clare, Limerick, Tipperary)
€832.8m 8.3%
South East
(Carlow, Kilkenny, Waterford, Wexford)
€763.2m 7.6%
Border
(Leitrim, Sligo, Cavan, Donegal, Monaghan)
€317.5m 3.2%
West
(Galway, Mayo, Roscommon)
€131.9m 1.3%
Midlands
(Laois, Longford, Offaly, Westmeath)
€24.8m 0.2%
Total €10,072.3m 100%

Under the assumption that Ireland’s sectors would follow the same cumulative loan loss portions as the EU wide sector, under short-term disorderly transition scenario, Ireland’s banks would face €301.7 million of loan values losses in the years following a disorderly green transition. (Fig. 5) shows near-term bank loan losses by sector in disorderly transition. As shown in (Fig. 5), losses from the transport, agriculture, manufacturing, and energy sectors would be largest.


Fig. 5. 
Ireland bank losses by sector in disorderly transition, million Euro

The pharmaceutical sector plays an important role in Ireland’s economy, with a sectoral €58.1 billion net selling value in 2021. As shown in Table 4, due to size it would also face the largest amount of loan losses in short-term disorderly transition scenario accounting for 45.3% of total manufacturing sectors losses. The ‘Food products’ and ‘Chemicals & Chemical Products’ sectors would also consist of significant portions of total manufacturing sector losses at 16.5% and 11.7% respectively.

Table 4. 
Potential bank loan losses by manufacturing sub-sector in a disorderly transition
Sub-sector Sub-sector bank loan losses,
million Euro
Sub-sector bank loan losses,
% of total manufacturing sector
Basic Pharmaceutical Products & Preparations €32.1m 45.3%
Food Products €11.7m 16.5%
Chemicals & Chemical Products €8.3m 11.7%
Other €6.3m 8.8%
Basic Metals & Fabricated Metal Products, Machinery & Equipment €4.5m 6.4%
Computer, Electronic, Optical & Electrical Equipment €3.1m 4.3%
Wood & Wood Products, Other Non-Metallic Mineral Products, Furniture €2.2m 3.1%
Beverages €1m 1.4%
Rubber & Plastic Products €0.9m 1.2%
Paper & Paper Products €0.5m 0.7%
Transport Equipment €0.2m 0.2%
Textiles, Wearing Apparel, Leather & Related Products €0.2m 0.2%
Total manufacturing sector €70.9m 100%

Comparisons of economic losses of a RCP 8.5 scenario versus a short-term disorderly transition scenario included in this study find that even though a green transition would likely entail significant costs, compared to the long-term physical risk of climate change these costs would be relatively small.


5. Discussion and conclusions

This research finds evidence that Ireland faces significant physical and transition risks from climate change. The economic losses from a rapid green transition included in this study are estimated to be smaller than losses from the climate change induced physical risk of increased flooding, thus provide support for the necessity of a timely green transition. Ireland has received criticism for its relatively slow implementation of EU environmental and climate change legislation (Torney and O’Gorman, 2019) and Ireland’s own Environment Protection Agency states that the policy response to climate change has not delivered sufficient progress (Dekker and Torney, 2021). Ireland strengthening its climate change mitigation policies would not only be honouring its legal requirements as an EU member but also be in its long-term self-interest. To effectively mitigate Ireland’s climate risks, a holistic governance framework which ensures for social, environmental, and economic development is required (Maskrey et al., 2023). Effective carbon pricing through policies such as carbon taxes and emission trading schemes can provide an effective pathway for mitigating climate change (Dominioni, 2022), but Ireland must prepare for the adverse economic and social effects of implementing GHG mitigation measures as well. Ensuring the correct range of structures and incentives exists in the financial sector for a transition to carbon neutrality is also vital for to enabling climate action across the private sector (Deignan et al., 2022).

The results of this paper have policy implications for the Republic of Korea as the country also faces significant physical climate risks and transition risks. Ireland and the Republic of Korea both surrounded by the sea on their West, South and East sides, with many large urban areas located around rivers and in coastal areas. The high concentration of population, buildings, and infrastructure near rivers make the Republic of Korea particularly vulnerable to climate related flood risks (Yu, 2022). In a RCP8.5 scenario flooding would significantly increase in the five major river basins of the Republic of Korea (Kim et al., 2023), resulting in losses of both human life and property (Park et al., 2023). Climate change would induce increased flooding severity as heavy rains and sea level rises cause significant damages to urban and coastal areas (Song and Lee, 2022). In terms of transition risks, the Republic of Korea’s decarbonization pathway to achieve its enhanced NDC of reducing GHG emission by 40% by 2030, compared to 2018 levels, entails major economic costs (Jeong et al., 2022). The aggregate emission intensity of the Republic of Korea’s exports make the country vulnerable to domestic and international requirements to reduce its GHG emissions (Kim and Tromp, 2023). Even though energy efficiency has improved in the country’s energy and manufacturing sectors (Kim and Bae, 2022), they still are very carbon intensive, and similarly to Ireland attempts to rapidly reduce GHG emissions from these sectors would entail large costs which may decrease international competitiveness. Both Ireland and the Republic of Korea are relatively open economies with exports being a key driver of their economic growth, therefore any reduced international competitiveness due to raising carbon prices could pose transition risk. The approach utilized in this study could be applied to the Republic of Korea by assessing the physical risk costs the country would face in a RCP 8.5 scenario, through flooding and other physical climate risks such as heat waves, and comparing these costs to transition risk costs such as bank and industrial sector losses in a rapid green transition scenario.

This paper assessed physical risks from climate change through a limited scope of focusing solely on flood disaster risks, but Ireland’s exposure to the detrimental effects of climate change expands far beyond this issue. Climate change would also negatively impact a diverse range of sectors including tourism (Hsu and Sharma, 2023), renewable energy generation capacity (Dallison and Patil, 2023), agriculture (Tzemi and Breen, 2019) and biodiversity (Donnelly, 2018). Other important limitations of this study are underlying assumptions, such as flood damages losses by region parameter and loan loss by sector through a disorderly transition. As this study primarily focused on potential losses from climate change through flooding disasters, the methodology it employs for assessing transition risk is greatly simplified. Ireland’s banks and financial institutions provide detailed information to the central bank of Ireland regarding their climate risk measures, however such detailed information, for example regarding sector loan breakdown by climate risk, is not currently released. More detailed public disclosures of Irish banks’ loan exposures by sector would enable researchers to carry out further studies employing such data to conduct more detailed and complex assessment of Ireland’s physical and transition risks.

This study finds that from a long-term perspective climate action entails the optimal economic growth and prosperity maximising development pathway in the context of Ireland. This result has policy relevance for the Republic of Korea, as it finds that the long-term physical risk costs of climate change are larger than near term transition risk costs, which is consistent with the results of various integrated assessment models (NGFS, 2022). Near-term potential economic losses are a major obstacle to countries taking stronger climate action in Asia as well as in other regions. The Republic of Korea’s current policy trajectory and NDC has been appraised as incompatible with the goals of the Paris Agreement (Climate Transparency, 2022). A green transition would like entail economic costs for the Republic of Korea (Kim, Gwon, et al., 2023) and other countries in Asia, which is a likely a prevalent factor in the countries not taking more stringent action to reduce its GHG emissions. However, if policy makers in Ireland, the Republic of Korea, and worldwide adopted a more long-term horizon perspective the overall benefit of strong, near-term climate action would be more clearly understood, and a Paris Agreement consistent growth and development pathway could be implemented.

A major limitation of this study is the divergent time periods of the physical risk assessment and the transition risk assessment. This is a highly complex issue to overcome given how transition risk is inherently a more near-term risk while physical risk is inherently a long-term risk. The methodology applied in this study for assessing climate risks is not entirely comprehensive due to data limitations and the fact methodologies for conducting such analysis are still in their early stages, which is currently a major challenge for climate change researchers and the IPCC assessment cycle. Attempts to develop comprehensive cost-benefit analysis will require transdisciplinary approaches to cover as many potential costs and benefits as possible (Sharma et al., 2020). Other relevant factors not included in the scope of this article is how effective adaptation measures could reduce physical risk damages. While recognising the limitation of scope of the applied approach, this research aims to contribute to the development of methodologies for conducting climate risk analysis which are still in early stages of development. Further exploration and refinement of methodologies for long-term climate risks assessment would be an important and fruitful research area for future studies.


Acknowledgments

This work was supported by Korea Environment Industry & Technology Institute (KEITI) through “Climate Change R&D Project for New Climate Regime”, funded by Korea Ministry of Environment (MOE) [2022003560012].


References
1. AIB Group plc. 2022. Backing our customers: AIB Group plc annual financial report. https://aib.ie/content/dam/frontdoor/investorrelations/docs/resultscentre/annualreport/2022/AIB-Group-plc-AFR-dec-2022.pdf
2. Bank of Ireland. 2022. Bank of Ireland strategic report 2020. https://personalbanking.bankofireland.com/app/uploads/2020-Strategic-Report.pdf
3. Bartocci A, Notarpietro A, Pisani M. 2022. Green fiscal policy measures and non-standard monetary policy in the Euro area. Banca D’Italia 35: 1-28. https://www.bancaditalia.it/pubblicazioni/temi-discussione/202
4. Basu AS, Gill LW, Pilla F, Basu B. 2022. Assessment of climate change impact on the annual maximum flood in an urban river in Dublin, Ireland. Sustainability 14(8): 4670.
5. Bolton P, Despres M, Pereira da Silva LA, Samama F, Svartzman R. 2020. The green swan: Central banking and financial stability in the age of climate change. https://www.bis.org/publ/othp31.pdf
6. BPFI (Banking & Payments Federation Ireland). 2023. Mortgage market profile report. https://bpfi.ie/wp-content/uploads/2023/05/Mortgage-Market-Profile-Report-H2-2022.pdf
7. C&AG (Comptroller and Auditor General). 2018. Report on the accounts of the public services 2018.
8. Carlin D, Arshad M, Hurst I, Holland D, Liadze I. 2022. Economic impacts of climate change: Exploring short-term climate related shocks for financial actors with macroeconomic models. https://www.niesr.ac.uk/wp-content/uploads/2022/05/UNEP-Economic-Impacts-of-Climate-Change.pdf
9. Central Bank of Ireland. 2022. Climate risks in the financial system : An overview of channels, impact and heterogeneity. https://www.centralbank.ie/docs/default-source/publications/financial-stability-notes/climate-risks-in-the-financial-system.pdf
10. Central Bank of Ireland. 2023. Central Bank of Ireland’s climate-related financial disclosures 2023. https://www.centralbank.ie/docs/default-source/monetary-policy/management-of-investment-assets/climate-related-financial-disclosures-report.pdf
11. Central Statistics Office (CSO). 2022. Republic of Ireland census of population 2022. [Accessed on July 10, 2023]. https://www.cso.ie/en/releasesandpublications/ep/p-cpr/censusofpopulation2022-preliminaryresults/housing/#:~:text=A%20total%20of%202%2C124%2C590%20permanent,%25)%20between%202016%20and%202022
12. Central Statistics Office (CSO). 2023. Ireland National Accounts. [Accessed on June 11, 2023]. https://www.cso.ie/en/statistics/nationalaccounts/quarterlynationalaccounts
13. Climate Central. 2023. Sea level rise. https://www.climatecentral.org/sea-level-rise
14. Climate Transparency. 2022. South Korea, country profile 2022. https://www.climate-transparency.org/media/south-korea-country-profile-2022
15. Coenen G, Lozej M, Priftis R. 2023. Macroeconomic effects of carbon transition policies: An assessment based on the ECB’s new area-wide model with a disaggregated energy sector. Frankfurt am Main, Germany: European Central Bank. ECB Working Paper No. 2023/2819.
16. Dallison RJH, Patil SD. 2023. Impact of climate change on hydropower potential in the UK and Ireland. Renew Energy 207: 611-628.
17. Deignan K, O’Hora A, Delargy O, Heuston L, Morrow C. 2022. Climate change adaptation: Risks and opportunities for Irish businesses. https://www.epa.ie/publications/research/climate-change/Research_Report_402.pdf
18. Dekker S, Torney D. 2021. Evaluating Ireland’s climate policy performance. https://www.epa.ie/publications/research/climate-change/Research_Report_362.pdf
19. Dominioni G. 2022. Pricing carbon effectively: A pathway for higher climate change ambition. Clim Policy 22(7): 897-905.
20. Donnelly A. 2018. Climate change: Potential implications for Ireland’s biodiversity. Int J Biometeorol 62(7): 1221-1228.
21. ECB (European Central Bank). 2022. 2022 climate risk stress test. https://www.bankingsupervision.europa.eu/ecb/pub/pdf/ssm.climate_stress_test_report.20220708~2e3cc0999f.en.pdf
22. EEA (European Environment Agency). 2022. GHG emissions per capita. [Accessed on May 24, 2023]. https://www.eea.europa.eu/data-and-maps/data/external/approximated-estimates-for-greenhouse-gas-emissions-2
23. EPA (Environment Protection Agency). 2023. Ireland projected to fall well short of climate targets. [Accessed on June 15, 2023]. https://www.epa.ie/news-releases/news-releases-2023/ireland-projected-to-fall-well-short-of-climate-targets-says-epa.php
24. European Commission. 2023. Effort sharing 2021-2030: Targets and flexibilities. [Accessed on June 21, 2023]. https://climate.ec.europa.eu/eu-action/effort-sharing-member-states-emission-targets/effort-sharing-2021-2030-targets-and-flexibilities_en#:~:text=The%20Effort%20Sharing%20Regulation%20establishes,agriculture%2C%20small%20industry%20and%20waste.
25. European Securities and Markets Authority. 2023. Questions and answers: Application of the UCITS directive. ESMA34-43-392.
26. Financial Times. 2019. Supermancos, the fund businesses winning big from Brexit. [Accessed on June 14, 2023]. https://www.ft.com/content/e4f4aad2-77bb-31f6-ae66-03c2febd68b5
27. Fujino J, Nair R, Kainuma M, Masui T, Matsuoka Y. 2016. Multi-gas mitigation analysis on stabilization scenarios using aim global model. Energy J 27(Special Issue #3): 343-354.
28. Furness EN, Robinson RA. 2019. Long-term declines in winter body mass of tits throughout Britain and Ireland correlate with climate change. Ecol Evol 9(3): 1202-1210.
29. Glynn J, Gargiulo M, Chiodi A, Deane P, Rogan F, Ó Gallachóir B. 2019. Zero carbon energy system pathways for Ireland consistent with the Paris Agreement. Clim Policy 19(1): 30-42.
30. Government of Ireland. 2023. Climate action plan 2023. https://www.gov.ie/en/publication/7bd8c-climate-action-plan-2023/
31. Hawchar L, Naughton O, Nolan P, Stewart MG, Ryan PC. 2020. A GIS-based framework for high-level climate change risk assessment of critical infrastructure. Clim Risk Manag 29: 100235.
32. Hickmann T, Bertram C, Biermann F, Brutschin E, Kriegler E, Livingston JE, Pianta S, Riahi K, van Ruijven B, van Vuuren D. 2022. Exploring global climate policy futures and their representation in integrated assessment models. Politics Gov 10(3): 171-185.
33. Hsu JL, Sharma P. 2023. Disaster and risk management in outdoor recreation and tourism in the context of climate change. Int J Clim Chang Strateg Manag 15(5): 712-728.
34. Irish Times. 2019. Ireland would face multibillion EU fines over emissions target failure. [Accessed on May 18, 2023] https://www.irishtimes.com/business/transport-and-tourism/ireland-would-face-multibillion-eu-fines-over-emissions-target-failure-1.3924909
35. JBA Risk Management. 2023. Flood models. [Accessed on June 10, 2023]. https://www.jbarisk.com/products-services/catastrophe-models/flood-models/
36. Jeong WC, Lee DH, Roh JH, Park JB. 2022. Scenario analysis of the GHG emissions in the electricity sector through 2030 in South Korea considering updated NDC. Energies 15(9): 3310.
37. KBC. 2022. Annual report KBC group 2022. https://www.kbc.com/content/dam/kbccom/doc/investor-relations/Results/jvs-2022/jvs-2022-grp-en.pdf
38. Kelly JA, Clinch JP, Kelleher L, Shahab S. 2020. Enabling a just transition: A composite indicator for assessing home-heating energy-poverty risk and the impact of environmental policy measures. Energy Policy 146: 111791.
39. Kim P, Bae H. 2022. Do firms respond differently to the carbon pricing by industrial sector? How and why? A comparison between manufacturing and electricity generation sectors using firm-level panel data in Korea. Energy Policy 162: 112773.
40. Kim S, Kwon JH, Om JS, Lee T, Kim G, Kim H, Heo JH. 2023. Increasing extreme flood risk under future climate change scenarios in South Korea. Weather Clim Extrem 39: 100552.
41. Kim TJ, Tromp N. 2023. Understanding the carbon intensity of South Korea’s exports: A multiplicative structural decomposition analysis. Clim Chang Econ.
42. Kim YG, Moon J, Kim J. 2023. Evaluating the economic impacts of Korea’s NDC (nationally determined contributions) implementation via carbon pricing : A global multiregional computable general equilibrium analysis. J Clim Chang Res 14(3): 253-275.
43. Maskrey A, Jain G, Lavell A. 2023. The social construction of systemic risk: towards an actionable framework for risk governance. Disaster Prev Manag 32(1): 4-26.
44. Moss RH, Edmonds JA, Hibbard KA, Manning MR, Rose SK, van Vuuren DP, Carter TR, Emori S, Kainuma M, Kram T, Meehl GA, Mitchell JFB, Nakicenovic N, Riahi K, Smith SJ, Stouffer RJ, Thomson AM, Weyant JP, Wilbanks TJ. 2010. The next generation of scenarios for climate change research and assessment. Nature 463: 747-756.
45. Murphy C, Kettle A, Meresa H, Golian S, Bruen M, O’Loughlin F, Mellander PE. 2023. Climate change impacts on Irish river flows: High resolution scenarios and comparison with CORDEX and CMIP6 ensembles. Water Resour Manag 37(5): 1841-1858.
46. NGFS(Network for Greening the Financial System). 2022. NGFS climate scenarios database: Technical documentation V3.1. https://www.ngfs.net/sites/default/files/media/2022/11/21/technical_documentation_ngfs_scenarios_phase_3.pdf
47. Noh JH, Park H. 2023. Greenhouse gas emissions and stock market volatility: An empirical analysis of OECD countries. Int J Clim Chang Strateg Manag 15(1): 58-80.
48. Nolan P, Flanagan J. 2020. High-resolution climate projections for Ireland - A multi-model ensemble approach. https://www.epa.ie/publications/research/climate-change/research-339-high-resolution-climate-projections-for-ireland--a-multi-model-ensemble-approach.php
49. O’Loughlin F, Mozafari B. 2023. Projected climate change in Ireland and associated risk to water quantity; A review of national policies, governance and plans for future proofing Ireland’s water supply. https://thewaterforum.ie/app/uploads/2023/06/Projected-climate-change-in-Ireland-and-associated-risk-to-water-quantity_final.pdf
50. Paranunzio R, Guerrini M, Dwyer E, Alexander PJ, O’Dwyer B. 2022. Assessing coastal flood risk in a changing climate for Dublin, Ireland. J Mar Sci Eng 10(11): 1715.
51. Park S, Sohn W, Piao Y, Lee D. 2023. Adaptation strategies for future coastal flooding: Performance evaluation of green and grey infrastructure in South Korea. J Environ Manage 334: 117495.
52. Paterson SK, Godsmark CN. 2020. Heat-health vulnerability in temperate climates: Lessons and response options from Ireland. Global Health 16: 29.
53. Rao S, Riahi K. 2006. The role of non-CO2 greenhouse gases in climate change mitigation : Long-term scenarios for the 21st century. Energy J 27(Special Issue #3): 177-200.
54. Real Estate Alliance (REA). 2023. Republic of Ireland average house price per county. [Accessed on June 11, 2023]. https://www.realestatealliance.ie/rea-average-house-price-per-county-p7025.
55. Riahi K, Grübler A, Nakicenovic N. 2007. Scenarios of long-term socio-economic and environmental development under climate stabilization. Technol Forecast Soc Change 74(7): 887-935.
56. Scott M, Burns L, Lennon M, Kinnane O. 2022. Built environment climate resilience and adaptation. https://www.epa.ie/publications/research/climate-change/Research_Report_418.pdf
57. SEAI(Sustainable Energy Authority of Ireland). 2022. Energy in Ireland: 2022 report. https://www.seai.ie/publications/Energy-in-Ireland-2022.pdf
58. Sharma T, Ó Gallachóir B, Rogan F. 2020. A new hybrid approach for evaluating technology risks and opportunities in the energy transition in Ireland. Environ Innov Soc Transit 35: 429-444.
59. Song YI, Lee S. 2022. Climate change risk assessment for the Republic of Korea: Developing a systematic assessment methodology. Landsc Ecol Eng 18(2): 191-202.
60. Thomson AM, Calvin KV, Smith SJ, Kyle GP, Volke A, Patel P, Delgado-Arias S, Bond-Lamberty B, Wise MA, Clarke LE, Edmonds JA. 2011. RCP4.5: A pathway for stabilization of radiative forcing by 2100. Clim Change 109: 77-94.
61. Torney D, O’Gorman R. 2019. A laggard in good times and bad? The limited impact of EU membership on Ireland’s climate change and environmental policy. Ir Political Stud 34(4): 575-594.
62. Tzemi D, Breen J. 2019. Climate change and the agricultural sector in Ireland: Examining farmer awareness and willingness to adopt new advisory mitigation tools. Clim Policy 19(5): 611-622.
63. White HJ, Caplat P, Emmerson MC, Yearsley JM. 2021. Predicting future stability of ecosystem functioning under climate change. Agric Ecosyst Environ 320: 107600.
64. World Bank. 2023. World Bank database, GDP per capita, current US$. [Accessed on June 26, 2023]. https://data.worldbank.org/indicator/NY.GDP.PCAP.CD?most_recent_value_desc=true
65. Yu I. 2022. Development and application of a model for assessing climate-related disaster risk. Int J Disaster Risk Reduct 81: 103218.