Is there a relationship between the use of motorcycles and the level of development of countries?
Bastos Suzana Quinet Andrade (),
Gama Fabio (),
Tiana de Paula Assis () and
Milosz Matheus ()
Additional contact information
Tiana de Paula Assis: Federal University of Juiz de Fora, Brazil
Milosz Matheus: University of São Paulo, Brazil
Bulletin of Geography. Socio-economic Series, 2020, vol. 50, issue 50, 43-53
Abstract:
Our paper aims to analyse the hypothesis that locations with a higher Human Development Index (HDI) present lower rates of motorcycle use. For this we use an econometric model for 117 countries on five continents for the years 2013, 2015 and 2018. We assume that when a country reaches a higher level of development, its population is more likely to experience improvements in the quality of life, which also affects the quality of individual transportation, public transport and roads. Increases in income discourage the use of motorcycles, mainly due to their low safety and comfort features. Our results indicate that rates of motorcycle use in countries increase as HDI rises, before reaching a maximum point and then declining. Therefore, this evidence suggests that a certain degree of development discourages the use of this means of transport in favour of others.
Keywords: motorcycles; human development index; panel data; developed countries; developing countries (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.2478/bog-2020-0031 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vrs:buogeo:v:50:y:2020:i:50:p:43-53:n:4
DOI: 10.2478/bog-2020-0031
Access Statistics for this article
Bulletin of Geography. Socio-economic Series is currently edited by Daniela Szymańska
More articles in Bulletin of Geography. Socio-economic Series from Sciendo
Bibliographic data for series maintained by Peter Golla ().