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The effects of taxing truck distance on CO2 emissions from transports in retailing
Dalarna University, School of Technology and Business Studies, Statistics.ORCID iD: 0000-0003-2317-9157
Dalarna University, School of Technology and Business Studies, Information Systems.ORCID iD: 0000-0003-4871-833X
Dalarna University, School of Technology and Business Studies, Statistics.ORCID iD: 0000-0003-2970-9622
Dalarna University, School of Technology and Business Studies, Economics.
2015 (English)Report (Other academic)
Abstract [en]

To finance transportation infrastructure and to address social and environmental negative externalities of road transports, several countries have recently introduced or consider a distance based tax on trucks. In the competitive retail market such tax can be expected to lower the demand and thereby reduce CO2 emissions of road transports. However, as we show in this paper, such tax might also slow down the transition towards e-tailing. Considering that previous research indicates that a consumer switching from brick-and-mortar shopping to e-tailing reduces her CO2 emissions substantially, the direction and magnitude of the environmental net effect of the tax is unclear. In this paper, we assess the net effect in a Swedish regional retail market where the tax not yet is in place. We predict the net effect on CO2 emissions to be positive, but off-set by about 50% because of a slower transition to e-tailing.

Place, publisher, year, edition, pages
2015. , 14 p.
Series
Working papers in transport, tourism, information technology and microdata analysis, ISSN 1650-5581 ; 2015:07
Keyword [en]
Spatial distribution of e-tailing and consumers; CO2 emissions measurement; online retailing; environmental taxes; carbon footprint; road network
National Category
Economics Transport Systems and Logistics Other Earth and Related Environmental Sciences
Research subject
Komplexa system - mikrodataanalys, General Microdata Analysis - transports; Komplexa system - mikrodataanalys, General Microdata Analysis - retail
Identifiers
URN: urn:nbn:se:du-17860OAI: oai:DiVA.org:du-17860DiVA: diva2:820907
Available from: 2015-06-12 Created: 2015-06-12 Last updated: 2015-07-01Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf