Modelling socio-economic and energy data to generate business-as-usual scenarios for carbon emissions

Simon Roberts, Colin Axon, Nigel Goddard, Daniel Foran, Benjamin Warr

Research output: Contribution to journalArticle

Abstract

The UK Government is legally committed to achieving an 80% reduction in carbon dioxide emissions compared with 1990 by 2050. The use of scenarios is wide ranging to inform policy development and forming a business as-usual
scenario helps to understand possible effects of different policy interventions. However, the term business-as-usual is frequently misused. We show how econo-physical business-as-usual scenarios can be developed by examining the historical behaviour of coefficients which manifest the relationship between
components of an economy. We endogenise economic growth by mimicking national level policies that focus on a target level of unemployment. Our case-study demonstrates the ‘trendability’ of coefficients which for one example coefficient is replicated for Australia, Colombia, Taiwan and the USA. We manifest a gross domestic product growth of 2% falling to 1% which contrasts with an exogenous growth of 2.3% of a comparator business-as-usual scenario. We suggest that it may be possible to achieve a greater reduction in the business-as usual carbon dioxide emissions in the UK fifth carbon budget than currently projected.
LanguageEnglish
Pages980-997
Number of pages18
JournalJournal of Cleaner Production
Volume207
Early online date05 Oct 2018
DOIs
Publication statusPublished - 10 Jan 2019

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carbon emission
Economics
Carbon
modeling
energy
Industry
Carbon dioxide
carbon dioxide
carbon budget
policy development
unemployment
Gross Domestic Product
economic growth
socioeconomics
Energy
Carbon emissions
Scenarios
Socio-economics
Modeling
Coefficients

Cite this

Roberts, Simon ; Axon, Colin ; Goddard, Nigel ; Foran, Daniel ; Warr, Benjamin. / Modelling socio-economic and energy data to generate business-as-usual scenarios for carbon emissions. In: Journal of Cleaner Production. 2019 ; Vol. 207. pp. 980-997.
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Modelling socio-economic and energy data to generate business-as-usual scenarios for carbon emissions. / Roberts, Simon ; Axon, Colin; Goddard, Nigel; Foran, Daniel; Warr, Benjamin.

In: Journal of Cleaner Production, Vol. 207, 10.01.2019, p. 980-997.

Research output: Contribution to journalArticle

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