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Tourism Management
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Food management in tourism: Reducing tourism’s carbon ‘foodprint’

Authors: Gössling, S.; Garrod, B.; Aall, C.; Hille, J.; Peeters, P.M.;

Food management in tourism: Reducing tourism’s carbon ‘foodprint’

Abstract

Food production and consumption have a range of sustainability implications, including their contribution to global emissions of greenhouse gases (GHGs). As some foodstuffs entail higher GHG emissions than others, managing their use in tourism-related contexts could make a significant contribution to climate change mitigation. This article reviews the carbon intensity of selected foods and discusses how foodservice providers could adapt their practices. It shows that even though food management could substantially reduce the GHG emissions of foodservice providers, its application is currently hampered by the complexity of food production chains and a lack of dependable data on the GHG intensity of foodstuffs. Nevertheless, it is possible to make a number of recommendations in respect of how foodservice providers can better purchase, prepare and present foods. Further research is now needed to refine and extend our understanding of the contribution that food management can make to reducing tourism’s carbon ‘foodprint’.

Countries
Netherlands, United Kingdom
Keywords

Mitigation, consequences, Life Science, Climate change, deforestation, sustainable tourism, consumption, south-west england, Food management, emissions, Sustainable food, footprint, landscape, Greenhouse gases, Emissions, efficiency, Carbon management, ecosystems

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    233
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
233
Top 1%
Top 1%
Top 1%
Green