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The effect on CO2 emissions of taxing truck distance in retail transports
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. Dalarna University, School of Technology and Business Studies, Human Geography.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. HUI Research, Stockholm.
2017 (English)In: Transportation Research Part A: Policy and Practice, ISSN 0965-8564, E-ISSN 1879-2375, Vol. 97, 47-54 p.Article in journal (Refereed) Published
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 competitive retail and transportation markets, 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
Elsevier, 2017. Vol. 97, 47-54 p.
Keyword [en]
Spatial distribution of e-tailing and consumers; CO2 emissions measurement; online retailing; environmental taxes; carbon footprint; road network
National Category
Transport Systems and Logistics
Research subject
Complex Systems – Microdata Analysis, General Microdata Analysis - transports; Complex Systems – Microdata Analysis, General Microdata Analysis - retail
Identifiers
URN: urn:nbn:se:du-23917DOI: 10.1016/j.tra.2017.01.010ISI: 000395612300004OAI: oai:DiVA.org:du-23917DiVA: diva2:1063817
Funder
Swedish Retail and Wholesale Development Council
Available from: 2017-01-11 Created: 2017-01-11 Last updated: 2017-04-07Bibliographically approved

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Citation style
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