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Spatial Finance : Challenges and Opportunities in a Changing World (English)

If financial markets are to realign towards truly sustainable development the financial sector needs to differentiate commercial actors more accurately on their climate and environmental performance. A potential breakthrough to help in this challenge is the emerging field of ‘Spatial Finance’, the independent assessment of the location of a company’s or a country’s assets and infrastructure using ground data, remote sensing observations and modelled insights, offers a potentially transformative means to gain improved quantitative ESG insights. Rapid development is required if spatial finance is to deliver in the short term. In this report, authors outline a possible taxonomy and hierarchy for spatial finance, showing how discrete forms of technology, approaches and data can be considered within a single consistent framework. Using this framework, spatial finance could provide insights at differing scales for different applications from the asset-scale for project finance, to company-scale for investment, to country scale for sovereign debt. Throughout the document authors provide insights into current cutting-edge developments within the field, illustrated with case studies from practitioners and data providers, and explore potential future developments.


  • Author

    Patterson, David J, Ariel, Yotam, Burks, Beth, Gratcheva,Ekaterina M., Hosking, Scott, Klein, Noemie, Protopopova, Lioubov, Tamayo Ruiz, Efrain Eduardo, Schmitt, Susanne, Shackelton, Bobby, Wang,Dieter, Wuebbles, Donald J

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    The World Region,

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    Spatial Finance : Challenges and Opportunities in a Changing World

  • Keywords

    long-term finance; Equitable Growth, Finance & Institutions; international earth science information network; supply chain; data needs; global forest; supply chain data; Environmental and Social Impact; Oil & Gas; International Financial Reporting Standards; climate-related risks; company limited by guarantee; impact of climate change; short period of time; remote-sensing data; upstream oil and gas; Financial Sector; environmental data; observational data; parent company; lack of asset; global climate model; regional climate model; commercial asset; data exchange; exclusive economic zone; social and environmental; global supply chain; global power; internet of things; machine learning; rate of deforestation; barrier to entry; high forest biodiversity; financial regulatory framework; very high frequency; debt sustainability analysis; energy and water; lack of supply; development of methodology; climate change model; take time; global public good; law and regulation; greenhouse gas emission; remote sensing observations; new legal framework; coastal flood risk; climate change risk; climate model outputs; form of regulation; changing behavior; risk and vulnerability; public water utility; privileges and immunity; commodity supply chain; earth observation data; long term finance; renewable power generation; fossil fuel power; risk assessment methodology; financial market participant; Quantitative Risk Analytics; credit rating agencies; credit rating agency; emerging market bond; water utilities; business intelligence; sovereign debt; physical asset; specific asset; spatial resolution; sustainable finance; project finance; data portal; portfolio level; global asset; finance system; high resolution; climate crisis; geographic area; global biodiversity; environmental implication; forest loss; international body; Climate Risk; car manufacturer; open system; data availability; financial decision; online platform; data provider; mine tailing; Clearing houses; global economy; ownership structure; sustainability reporting; financial community; climate impact; commercial operation; statistical technique; climate variable; data issue; global models; endangered species; indigenous area; coverage ratio; carbon emission; climate extremes; environmental performance; commercial activity; level analysis; increased transparency; social issue; commercial business; Real estate; environmental community; carbon footprint; ownership information; government body; data gaps; recent studies; regional impact; several advantages; public source; ghg emissions; asset resolution; financial industry; best practice; existing technology; government regulation; water stress; other sectors; online tool; open source; data selection; biodiversity data; environmental sustainability; institutional investor; environmental consideration; other asset; Data Production; real time; debt service; biodiversity crisis; reinsurance sector; regulatory requirement; evergreen forest; genetic profile; food system; sustainable investment; space technology; water quality; thermal plant; risk analysis; plant capacity; fuel type; mining company; mining companies; storage facility; artificial intelligence; large bank; finance initiative; Private Equity; satellite technology; climate forcing; surface topography; surface type; weather data; conservation area; global assessment; environmental risk; urban sprawl; significant challenge; geographical data; qualitative data; social concern; environmental space; black box; private information; climate scientist; satellite imagery; space agency; natural water; think tank; biodiversity loss; geographic information; finance institution; data frequency; peer group; political risk; take stock; future water; corporate action; unique identification; legal entity; marine life; legal entities; environmental indicator; national climate; commodity export; raw material; industrial ecology; Collaborative Platform; output model; atmospheric carbon



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Patterson, David J Ariel, Yotam Burks, Beth Gratcheva,Ekaterina M. Hosking, Scott Klein, Noemie Protopopova, Lioubov Tamayo Ruiz, Efrain Eduardo Schmitt, Susanne Shackelton, Bobby Wang,Dieter Wuebbles, Donald J

Spatial Finance : Challenges and Opportunities in a Changing World (English). Equitable Growth, Finance and Institutions Insight Washington, D.C. : World Bank Group.