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Article
Publication date: 1 August 2000

John Wincott

311

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Nutrition & Food Science, vol. 30 no. 4
Type: Research Article
ISSN: 0034-6659

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Article
Publication date: 1 April 2002

70

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Pigment & Resin Technology, vol. 31 no. 2
Type: Research Article
ISSN: 0369-9420

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Article
Publication date: 1 April 2014

Shawn M. Carraher

1950

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Journal of Technology Management in China, vol. 9 no. 1
Type: Research Article
ISSN: 1746-8779

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Book part
Publication date: 21 March 2017

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Grassroots Leadership and the Arts for Social Change
Type: Book
ISBN: 978-1-78635-687-1

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Article
Publication date: 11 September 2007

Stuart Hannabuss

94

Abstract

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Library Review, vol. 56 no. 8
Type: Research Article
ISSN: 0024-2535

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Article
Publication date: 1 February 2001

David Fleming

391

Abstract

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European Business Review, vol. 13 no. 1
Type: Research Article
ISSN: 0955-534X

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Article
Publication date: 19 October 2010

Eric H. Kessler

912

Abstract

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Strategic Direction, vol. 26 no. 11
Type: Research Article
ISSN: 0258-0543

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Article
Publication date: 1 September 1998

Stephen Todd

37

Abstract

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Structural Survey, vol. 16 no. 3
Type: Research Article
ISSN: 0263-080X

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Article
Publication date: 15 June 2010

Anne Murphy

352

Abstract

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Leadership & Organization Development Journal, vol. 31 no. 4
Type: Research Article
ISSN: 0143-7739

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Open Access
Article
Publication date: 24 July 2020

Maximilian M. Spanner and Julia Wein

The purpose of this paper is to investigate the functionality and effectiveness of the Carbon Risk Real Estate Monitor (CRREM tool). The aim of the project, supported by the…

5442

Abstract

Purpose

The purpose of this paper is to investigate the functionality and effectiveness of the Carbon Risk Real Estate Monitor (CRREM tool). The aim of the project, supported by the European Union’s Horizon 2020 research and innovation program, was to develop a broadly accepted tool that provides investors and other stakeholders with a sound basis for the assessment of stranding risks.

Design/methodology/approach

The tool calculates the annual carbon emissions (baseline emissions) of a given asset or portfolio and assesses the stranding risks, by making use of science-based decarbonisation pathways. To account for ongoing climate change, the tool considers the effects of grid decarbonisation, as well as the development of heating and cooling-degree days.

Findings

The paper provides property-specific carbon emission pathways, as well as valuable insight into state-of-the-art carbon risk assessment and management measures and thereby paves the way towards a low-carbon building stock. Further selected risk indicators at the asset (e.g. costs of greenhouse gas emissions) and aggregated levels (e.g. Carbon Value at Risk) are considered.

Research limitations/implications

The approach described in this paper can serve as a model for the realisation of an enhanced tool with respect to other countries, leading to a globally applicable instrument for assessing stranding risks in the commercial real estate sector.

Practical implications

The real estate industry is endangered by the downside risks of climate change, leading to potential monetary losses and write-downs. Accordingly, this approach enables stakeholders to assess the exposure of their assets to stranding risks, based on energy and emission data.

Social implications

The CRREM tool reduces investor uncertainty and offers a viable basis for investment decision-making with regard to stranding risks and retrofit planning.

Originality/value

The approach pioneers a way to provide investors with a profound stranding risk assessment based on science-based decarbonisation pathways.

Details

Journal of European Real Estate Research , vol. 13 no. 3
Type: Research Article
ISSN: 1753-9269

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