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Competition and petrol pricing in the smartphone era: Evidence from Singapore
Ming-Hua Liu1; Dimitris Margaritis2; Yang Zhang1
2016-02-01
Source PublicationEconomic Modelling
ABS Journal Level2
ISSN0264-9993
Volume53Pages:144-155
Abstract

This paper examines how pre-tax petrol and diesel prices in Singapore respond to changes in crude oil prices using an asymmetric error correction model. We pay particular attention to the effect increased use of smartphones may have had in altering the pattern of price adjustment as consumers become more informed about fuel prices and as search costs decline. The results suggest that increases in the use of smartphones and tablets have increased the estimated short-term response rate but only for the adjustment of retail prices to decreases in crude oil prices. We find no evidence of a smartphone effect for wholesale prices indicative of the different roles played by consumers in competition.

KeywordAsymmetric Adjustment Diesel Price Fuel Pricing Petrol Price Price Rigidity Singapore
DOI10.1016/j.econmod.2015.11.020
URLView the original
Indexed BySSCI
Language英語English
WOS Research AreaBusiness & Economics
WOS SubjectEconomics
WOS IDWOS:000370770400012
Scopus ID2-s2.0-84950265179
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF FINANCE AND BUSINESS ECONOMICS
Corresponding AuthorDimitris Margaritis
Affiliation1.Faculty of Business Administration, University of Macau, Macao
2.University of Auckland Business School, New Zealand
First Author AffilicationFaculty of Business Administration
Recommended Citation
GB/T 7714
Ming-Hua Liu,Dimitris Margaritis,Yang Zhang. Competition and petrol pricing in the smartphone era: Evidence from Singapore[J]. Economic Modelling, 2016, 53, 144-155.
APA Ming-Hua Liu., Dimitris Margaritis., & Yang Zhang (2016). Competition and petrol pricing in the smartphone era: Evidence from Singapore. Economic Modelling, 53, 144-155.
MLA Ming-Hua Liu,et al."Competition and petrol pricing in the smartphone era: Evidence from Singapore".Economic Modelling 53(2016):144-155.
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