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2023 | OriginalPaper | Buchkapitel

The Water Credit Risk Tool and Corporate Sensitivity to the Shadow Price of Water

verfasst von : Dieter Gramlich, Henrik Ohlsen

Erschienen in: Water Risk Modeling

Verlag: Springer International Publishing

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Abstract

Due to the rising demand for water and conflicting interests among stakeholders, the price of water will increase in the future. Higher costs and limited availability of water affect the profitability and liquidity of companies. The Water Credit Risk tool developed by the German Society for International Cooperation (GIZ), Natural Capital Declaration (NCD), and German Association for Environmental Management and Sustainability in Financial Institutions (VfU) assesses the shadow price of water (SPW) as the potential future cost of water and models its impact on a company’s income and cash flow. Examining the SPW and its implications for operational and capital expenses provides indications of the companies’ vulnerability to water risk. The effects on financial ratios highlight the need for companies to develop mitigation strategies, and they alert financial investors about opportunities and threats associated with water-related investments.

The chapter addresses the SPW-related sensitivity of three selected companies from various industries with respect to changes in their operational structure across time, changes in the SPW between two different points in time, and projections of the SPW into the future. Depending on the company-specific calculation of the SPW and the firms’ business model, the results provide individual sensitivities to water challenges as well as individual potentials to respond.

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Vorheriges Kapitel Water Risk in Real Estate: An Introduction to the Climanomics Platform

The 2030 Water Resources Group has calculated that global water demand by 2030 could be 40% higher than current available water supplies (WRG, 2021).

The SPW used in the initial calculation for the year 2013 is derived from the WRI ‘s estimations of water stress for the year 2010. As we focus on the year 2013 as a baseline, we refer to the SPW similarly as SPW 2013.

EBITDA as the earnings before interest, taxes, depreciation, and amortization.

Following GIZ et al. (2015), we refer to the 20 largest mining sites in the case of Glencore.

Bierkens, M. F. P., Reinhard, S., Bruijn, J. A., Veninga, W., & Wada, Y. (2019). The shadow price of irrigation water in major groundwater-depleting countries. Water Resources Research, 55(5), 4266–4287. https://doi.org/10.1029/2018WR023086CrossRef

Bloomberg, & NCFA – Natural Capital Finance Alliance (2015). Water Risk Valuation Tool. Integrating natural capital limits into financial analysis of mining stocks.

Carney, M. (2015). Breaking the tragedy of the horizon – climate change and financial stability. Speech by Mr Mark Carney, Governor of the Bank of England and Chairman of the Financial Stability Board, at Lloyd’s of London, 29 September 2015, London. https://www.bis.org/review/r151009a.pdf.

Concha Larrauri, P., Lall, U., Siegel, J., & Arbarzua, F. (2018). The value of water: Risk-based water valuation for mining companies. Columbia Water Center. https://water.columbia.edu/content/risk-based-water-valuation-mining-companies.

Delevingne, L., Glazener, W., Grégoir, L., & Henderson, K. (2020). Climate risk and decarbonization: What every mining CEO needs to know. McKinsey Sustainability Report. https://www.mckinsey.com/business-functions/sustainability/our-insights/climate-risk-and-decarbonization-what-every-mining-ceo-needs-to-know.

Eskom (2014). Integrated Report 2013/2014, 31 March 2014. Shift performance, grow sustainably.

Eskom (2021). Integrated Report 2020/2021, 31 March 2021. Towards a new energy future.

Femsa (2013). Annual Report. Great challenges.

Femsa (2020a). 2020 Annual Report.

Femsa (2020b). Financial Statements 2020.

Gilsbach, L., Schütte, P., & Franken, G. (2019). Applying water risk assessment methods in mining: Current challenges and opportunities. Water Resources and Industry, 22, 100118. https://doi.org/10.1016/j.wri.2019.100118CrossRef

GIZ – German Society for International Cooperation, NCD – Natural Capital Declaration, & VfU – German Association for Environmental Management and Sustainability in Financial Institutions (2015). Corporate bond water credit risk analysis tool. https://www.vfu-mediathek.de/mediathek/?gv_search=water+credit+risk&mode=any.

Glencore (2013). GlencoreXstrata Annual Report 2013.

Glencore (2020a). Annual Report 2020.

Glencore (2020b). Sustainability Report 2020. Building for the future.

Hardin, G. (1968). The tragedy of the commons. Science, 162(3859), 1243–1248. http://www.jstor.org/stable./1724745.

Hoftse, R.W. (2019). Aqueduct 3.0 Country and Province Rankings. 2019 update based on Aqueduct 3.0 data. https://github.com/rutgerhofste/aqueduct30_country_rankings_data_download/blob/master/metadata.md.

Hofste, R.W., Kuzma, S., Walker, S., Sutanudjaja, E.H., Bierkens, M.F.P., Kuijper, M.J.M., Faneca Sanchez, M., Van Beek, R., Wada, Y., Galvis Rodriguez, S., & Reig, P. (2019). Aqueduct 3.0: Updated decision-relevant global water risk indicators. Technical note, World Resources Institute, Washington, DC. https://www.wri.org/research/aqueduct-30-updated-decision-relevant-global-water-risk-indicators.

Howitt, R., & Hansen, K. (2005). The evolving western water markets. Choices, 20(1), 59–63. https://doi.org/10.22004/AG.ECON.93330.

Kumar, G., & Gupta, R. (2022). Methodologies of scenario development for water resource management. A Review. In Maurya, S. P., Yadav, A. K., & Singh, R. (Eds.), Modeling and simulation of environmental systems: A computation approach, 303–317. https://doi.org/10.1201/9781003203445.

Liu, J., Yang, H., Gosling, S. N., Kummu, M., Flörke, M., Pfister, S., Hanasaki, N., Wada, Y., Zhang, X., Zheng, C., Alcamo, J., & Oki, T. (2017). Water scarcity assessments in the past, present and future. Earth’s Future, 5(6), 545–559. https://doi.org/10.1002/2016EF000518CrossRef

Luck, M., Landis, M., & Gassert, F. (2015). Aqueduct water stress projections: Decadal projections of water supply and demand using CMIP5 GCMs. Technical Note. World Resources Institute, Washington, D.C. https://files.wri.org/d8/s3fs-public/aqueduct-water-stress-projections-technical-note.pdf.

Luo, T., Young, R., & Reig, P. (2015). Aqueduct projected water stress country rankings. Technical Note. World Resources Institute, Washington, D.C. https://files.wri.org/d8/s3fs-public/aqueduct-water-stress-country-rankings-technical-note.pdf.

Morgan, A. J., & Dobson, R. (2020). An analysis of water risk in the mining sector. Water Risk Filter Research Series Volume 1, WWF – World Wide Fund For Nature. https://wwfint.awsassets.panda.org/downloads/analysis_of_water_risk_in_mining_sector__wwf_water_risk_filter_research_series_.pdf.

NCFA – Natural Capital Finance Alliance, & PwC – PricewaterhouseCoopers (2018). Integrating natural capital in risk assessments: A step-by-step guide for banks, Geneva, Oxford, and London.

OECD – Organization for Economic Co-operation and Development. (2013). Water and climate change adaptation: Policies to navigate uncharted waters. OECD Studies on Water, OECD Publishing. https://doi.org/10.1787/9789264200449-enCrossRef

OECD – Organization for Economic Cooperation and Development. (2017). Groundwater allocation: Managing growing pressures on quantity and quality. Paris, OECD Publishing. https://doi.org/10.1787/9789264281554-enCrossRef

Ohlsen, H., & Ridley, M. (2020). A model to integrate water stress into corporate bond credit analysis. In NGFS—Network for Greening the Financial System (Ed.), Case studies of environmental risk analysis methodologies, 144–160.

O’Neill, B. C., Carter, T. R., Ebi, K., Harrison, P. A., Kemp-Benedict, E., Kok, K., Kriegler, E., Preston, B. L., Riahi, K., Sillmann, J., van Ruijven, B. J., van Vuuren, D., Carlisle, D., Conde, C., Fuglestvedt, J., Green, C., Hasegawa, T., Leininger, J., Monteith, S., & Pichs-Madruga, R. (2020). Achievements and needs for the climate change scenario framework. Nature Climate Change, 10(12), 1074–1084. https://doi.org/10.1038/s41558-020-00952-0CrossRef

Pang, Y., Shi, S., Shi, Y., & Zhao, Y. (2022). A nonlinear dynamic approach to cash flow forecasting. Review of Quantitative Finance and Accounting, 59(1), 205–237. https://doi.org/10.1007/s11156-022-01066-8CrossRef

Pascual, U., Muradian, R., Brander, L., Gómez-Baggethun, E., Martín-López, B., Verma, M., Armsworth, P., Christie, M., Cornelissen, H., Eppink, F., Farley, J., Loomis, J., Pearson, L., Perrings, C., Polasky, S., McNeely, J. A., Norgaard, R., Siddiqui, R., David Simpson, R., ... Simpson, R. D. (2012). The economics of valuing ecosystem services and biodiversity. In Kumar, P. (Ed.). The economics of ecosystems and biodiversity: Ecological and economic foundations (pp. 183–256). https://doi.org/10.4324/9781849775489.

Pianosi, F., Beven, K., Freer, J., Hall, J. W., Rougier, J., Stephenson, D. B., & Wagener, T. (2016). Sensitivity analysis of environmental models: A systematic review with practical workflow. Environmental Modelling & Software, 79, 214–232. https://doi.org/10.1016/j.envsoft.2016.02.008CrossRef

Ridley, M., & Boland, D. (2015a). Integrating water stress into corporate bond credit analysis. Benchmarking Companies in Three Sectors—Summary and Guidance (September).

Ridley, M., & Boland, D. (2015b). Integrating water into corporate bond credit analysis. Benchmarking Companies in Three Sectors—Full report (September).

RMS, GIZ – German Society for International Cooperation, & NCFA – Natural Capital Finance Alliance (2017). Drought stress testing. Making financial institutions more resilient to environmental risks.

Rudebeck, T., & Breslin, S. (2021). Accounting for water in active ownership. Integrating assessments of water risks and impacts into equity portfolio management. Stockholm International Water Institute and Sweden’s Sustainable Investment Forum. https://siwi.org/publications/accounting-for-water-in-active-ownership/.

Savolainen, J., Rakhsha, R., & Durham, R. (2022). Simulation-based decision-making system for optimal mine production plan selection. Mineral Economics, 35(2), 267–281. https://doi.org/10.1007/s13563-021-00297-wCrossRef

Sparks, D., Madhlopa, A., Keen, S., Moorlach, M., Dane, A., Krog, P., & Dlamini, T. (2014). Renewable energy choices and their water requirements in South Africa. Journal of Energy in Southern Africa, 25(4), 80–92. https://doi.org/10.17159/2413-3051/2014/v25i4a2241.

TNFD – Task Force on Nature-related Financial Disclosures (2022). The TNFD Nature-Related risk and opportunity management and disclosure Framework: Beta v0.2 June 2022. https://framework.tnfd.global/wp-content/uploads/2022/06/TNFD-Framework-Document-Beta-v0-2.pdf.

Ugwuegbu, C. C. (2013). Segilola gold mine valuation using Monte Carlo simulation approach. Mineral Economics, 26(1–2), 39–46. https://doi.org/10.1007/s13563-013-0030-8CrossRef

United Nations (2021). The United Nations world water development report 2021: Valuing water. UNESCO, Paris. https://unesdoc.unesco.org/ark:/48223/pf0000375724_eng.

WRG – 2030 Water Resources Group (2021). Annual Report 2021, Washington, D.C.

WWF – World Wide Fund for Nature (2020). Water risk scenarios: TCFD-aligned scenarios to help companies and investors turn risk into resilience. https://wwfeu.awsassets.panda.org/downloads/wwf_wrf_brief_scenarios_hr.pdf.

Xabadia, A., Esteban, E., Martinez, Y., & Ortuzar, I. (2021). Contaminants of emerging concern: A review of biological and economic principles to guide water management policies. International Review of Environmental and Resource Economics, 15(4), 387–430. https://doi.org/10.1561/101.00000138CrossRef

Zetland, D. (2021). The role of prices in managing water scarcity. Water Security, 12, 100081. https://doi.org/10.1016/j.wasec.2020.100081CrossRef

Titel: The Water Credit Risk Tool and Corporate Sensitivity to the Shadow Price of Water
verfasst von: Dieter Gramlich
Henrik Ohlsen
Verlag: Springer International Publishing
Buch: Water Risk Modeling
Print ISBN: 978-3-031-23810-9

Electronic ISBN: 978-3-031-23811-6

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-3-031-23811-6_12

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