A Method for Assessing the Risks to Sustainability Posed by Process Operations

ABSTRACT We present a framework for assessing the risks to sustainability posed by any given set of processes. The objective is to improve sustainability by enabling better decision‐making in policy and business contexts. The framework can be applied to any system of processes where available information supports discovery and quantification of sustainability‐risk, defined as risk to the ability of future generations to meet their needs. Processes are screened to identify sustainability‐risks, which are scored on a common scale to avoid arbitrary weighting factors. The method yields an overall risk score for the system, and an analysis of where and how sustainability‐risk arises. We demonstrate the method by applying it to the system that provides for the UK's production and use of liquid biofuels. A set of 18 distinct causes of risk is discovered, and impacts are assessed by triple‐bottom line accounting. The innovation risk optimism bias is the highest‐scoring cause of risk, followed by price volatility associated with competition between markets for bio‐feedstocks. In this case, the wide variety of risk types and severity, and scale of action, suggests that promoting sustainability requires a tailored response to address specific risks.

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Publication Details

Journal
Sustainable Development
Published
2025-11-12
DOI
https://doi.org/10.1002/sd.70423
Primary Topic
Bioeconomy and Sustainability Development
Type
article
Field-Weighted Citation Impact
0.00
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article

A Method for Assessing the Risks to Sustainability Posed by Process Operations

Colin J. Axon, Richard C. Darton
Sustainable Development
Bioeconomy and Sustainability Development
article

A Method for Assessing the Risks to Sustainability Posed by Process Operations

Colin J. Axon, Richard C. Darton
article en

Abstract

ABSTRACT We present a framework for assessing the risks to sustainability posed by any given set of processes. The objective is to improve sustainability by enabling better decision‐making in policy and business contexts. The framework can be applied to any system of processes where available information supports discovery and quantification of sustainability‐risk, defined as risk to the ability of future generations to meet their needs. Processes are screened to identify sustainability‐risks, which are scored on a common scale to avoid arbitrary weighting factors. The method yields an overall risk score for the system, and an analysis of where and how sustainability‐risk arises. We demonstrate the method by applying it to the system that provides for the UK's production and use of liquid biofuels. A set of 18 distinct causes of risk is discovered, and impacts are assessed by triple‐bottom line accounting. The innovation risk optimism bias is the highest‐scoring cause of risk, followed by price volatility associated with competition between markets for bio‐feedstocks. In this case, the wide variety of risk types and severity, and scale of action, suggests that promoting sustainability requires a tailored response to address specific risks.

Sustainable Development
University of Oxford (GB), Science Oxford (GB), Brunel University of London (GB)
Openalex Percentile: Top 50%
Bioeconomy and Sustainability Development
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