1. bookVolume 13 (2019): Issue 1 (May 2019)
Journal Details
First Published
15 Dec 2017
Publication timeframe
1 time per year
access type Open Access

Costs a pretty penny: how household income impacts upon motorization in Europe and raises manufacturer branding challenges

Published Online: 29 Nov 2019
Page range: 759 - 771
Journal Details
First Published
15 Dec 2017
Publication timeframe
1 time per year

This research starts from the findings of a previous study (Roșca, 2018) and intends to develop the preceding statistical model through testing new and more elaborated hypotheses based on the recommendations for future research made in the aforementioned work. The current paper tests demographic and transportation related variables for a multiple regression carried out at a confidence level of 95%. Regression results show a valid relationship between motorization and the selected regressors. Findings further reveal that motorization rates are most strongly influenced by the gross disposable income of households per capita (H4, β = 0.010, p = 0.000). Given that three of the demographic and transportation related research hypotheses have not been supported (age, overcrowding, fatalities), it might be argued that motorization should be looked upon more as a market(ing) feat rather than as a social or psychological fact. Car manufacturers should invest more in branding and in market segmentation in order to address the right target groups and properly position themselves with the customers. Branding, hence, becomes important as it creates an emotional connection between the corporate identity of the producers and the image that customers share about it. The closer the brand identity is to the brand image, the more of an impact the brand will have upon customers to spend part of their gross disposable income for car purchases. Starting from the main finding, this article also claims that future research needs to insist more upon the economic determinants of motorization (e.g. inflation, poverty rate, available resources, unemployment rate, interest rate etc.) and to determine their influence on brand preference and car ownership. At the same time, some other demographic variables such as age or generation could be double-checked, as researches provide shattered views upon their role: while some hold them as influential, others subjugate them to the economic determinants.


Acharya, S. R. (2005). Motorization and urban mobility in developing countries exploring policy options through dynamic simulation. Journal of the Eastern Asia Society for Transportation Studies, 6, 4113-4128.Search in Google Scholar

Alpopi, C., & Colesca, S. E. (2010). Urban air quality. A comparative study of major European capitals. Theoretical and Empirical Researches in Urban Management, 15, 92-107.Search in Google Scholar

Alpopi, C., Manole, C., & Colesca, S. E. (2011). Assessment of the sustainable urban development level through the use of indicators of sustainability. Theoretical and Empirical Researches in Urban Management, 6(2), 78-87.Search in Google Scholar

Al-Reesi, H., Ganguly, S. S., Al-Adawi, S., Laflamme, L., Hasselberg, M., & Al-Maniri, A. (2013). Economic growth, motorization, and road traffic injuries in the Sultanate of Oman, 1985–2009. Traffic Injury Prevention, 14(3), 322-328.Search in Google Scholar

Arpinte, D. (2010). Social Economy in Teleorman County. Journal of Community Positive Practices, 10(1-2), 72-81.Search in Google Scholar

Bărbulescu, R. (2010). Risks and consequences of demographic changes in Romania. The Romanian Economic Journal, 36, 99-110.Search in Google Scholar

Bărbulescu, R. (2012). Romania’s demographic decline-what’s next. Romanian Economic and Business Review, 7(2), 77-86.Search in Google Scholar

Bell, A. C., Ge, K., & Popkin, B. M. (2002). The road to obesity or the path to prevention: motorized transportation and obesity in China. Obesity, 10(4), 277-283.Search in Google Scholar

Bugheanu, A. M., & Colesca, S. E. (2016). Empirical Research on Urban Public Transportation in the Context of Population Growth and the Demographic Development. Management and Economics Review, 1(2), 183-193.Search in Google Scholar

Cace, S. (2008). Social Inclusion at the Level of the European Union. Journal of Community Positive Practices, 8(3-4), 21-33.Search in Google Scholar

Cai, L. A., Feng, R., & Breiter, D. (2004). Tourist purchase decision involvement and information preferences. Journal of Vacation Marketing, 10(2), 138-148.Search in Google Scholar

Cervero, R. (1996). Mixed land-uses and commuting: evidence from the American Housing Survey. Transportation Research Part A: Policy and Practice, 30(5), 361-377.Search in Google Scholar

Chatterton, T., Anable, J., Cairns, S., & Wilson, R. E. (2018). Financial Implications of Car Ownership and Use: a distributional analysis based on observed spatial variance considering income and domestic energy costs. Transport Policy, 65, 30-39.Search in Google Scholar

Choudhary, R., & Vasudevan, V. (2017). Study of vehicle ownership for urban and rural households in India. Journal of Transport Geography, 58, 52-58.Search in Google Scholar

Clark, S. D. (2007). Estimating local car ownership models. Journal of Transport Geography, 15(3), 184-197.Search in Google Scholar

Clark, S. D. (2009). The determinants of car ownership in England and Wales from anonymous 2001 census data. Transportation Research Part C: Emerging Technologies, 17(5), 526-540.Search in Google Scholar

Colditz, G. A. (1999). Economic costs of obesity and inactivity. Medicine and Science in Sports and Exercise, 31(11 Suppl), S663-7.Search in Google Scholar

Colesca, S. E., Pacesila, M., Burcea, S. G., Ciocoiu, C. N., & Bugheanu, A. M. (2017). Analysis Of Passenger’s Satisfaction With The Quality Of The Public Transportation Mode Choices In Bucharest: A Fuzzy Approach. Economic Computation & Economic Cybernetics Studies & Research, 51(4), 109-125.Search in Google Scholar

Cooper, A. R., Andersen, L. B., Wedderkopp, N., Page, A. S., & Froberg, K. (2005). Physical activity levels of children who walk, cycle, or are driven to school. American Journal of Preventive Medicine, 29(3), 179-184.Search in Google Scholar

Dargay, J. M., & Vythoulkas, P. C. (1999). Estimation of a dynamic car ownership model: a pseudo-panel approach. Journal of Transport Economics and Policy, 287-301.Search in Google Scholar

Dargay, J. M. (2001). The effect of income on car ownership: evidence of asymmetry. Transportation Research Part A: Policy and Practice, 35(9), 807-821.Search in Google Scholar

Dargay, J. M. (2002). Determinants of car ownership in rural and urban areas: a pseudo-panel analysis. Transportation Research Part E: Logistics and Transportation Review, 38(5), 351-366.Search in Google Scholar

De Jong, G., Fox, J., Daly, A., Pieters, M., & Smit, R. (2004). Comparison of car ownership models. Transport Reviews, 24(4), 379-408.Search in Google Scholar

Donaghy, K., Rudinger, G., & Poppelreuter, S. (2004). Societal trends, mobility behaviour and sustainable transport in Europe and North America. Transport Reviews, 24(6), 679-690.Search in Google Scholar

Drămnescu, M., & Enăchescu, V. (2018). The Role of Models Promoted through the Media in the Build of Personality. In The International Scientific Conference eLearning and Software for Education, Vol. 1, 86-94. “Carol I” National Defence University.Search in Google Scholar

Enăchescu, V.A., & Tarabay, D. (2016). Internet is Changing Cultures. Revista de Management Comparat International, 17(3), 272-278.Search in Google Scholar

Evans, L. (1991). Traffic Safety and the Driver. Science Serving Society. New York: Van Nostrand Reinhold Co.Search in Google Scholar

Frändberg, L., & Vilhelmson, B. (2011). More or less travel: personal mobility trends in the Swedish population focusing gender and cohort. Journal of Transport Geography, 19(6), 1235-1244.Search in Google Scholar

Gallez, C. (1994). Identifying the long term dynamics of car ownership: a demographic approach. Transport Reviews, 14(1), 83-102.Search in Google Scholar

Glăvan, E. (2010). Social Economy in Mehedinti County. Journal of Community Positive Practices, 10(1-2), 28-61.Search in Google Scholar

Gregori-Signes, C., & Alcantud-Díaz, M. (2016). Digital community storytelling as a sociopolitical critical device. Journal of Community Positive Practices, 16(1), 19-36.Search in Google Scholar

Gururaj, G. (2008). Road traffic deaths, injuries and disabilities in India: current scenario. National Medical Journal of India, 21(1), 14-20.Search in Google Scholar

Hanly, M., & Dargay, J. (2000). Car ownership in Great Britain: Panel data analysis. Transportation Research Record: Journal of the Transportation Research Board, (1718), 83-89.Search in Google Scholar

He, S. Y., & Thøgersen, J. (2017). The impact of attitudes and perceptions on travel mode choice and car ownership in a Chinese megacity: The case of Guangzhou. Research in Transportation Economics, 62, 57-67.Search in Google Scholar

Ignat, R., Trică, C. L., & Tudor, M. (2019). Opportunities for Romanian Entrepreneurs in Digital Single Market. Ovidius University Annals, Economic Sciences Series, 19(1), 202-208.Search in Google Scholar

Istrate, M. I. (2015). Urban sprawl and demographic dynamics in Suceava Metropolitan Area. Journal of Community Positive Practices, 15(2), 43-55.Search in Google Scholar

Jiang, B., Liang, S., Peng, Z.R., Cong, H., Levy, M., Cheng, Q., Wang, T. & Remais, J. V. (2017). Transport and public health in China: the road to a healthy future. The Lancet, 390(10104), 1781-1791.Search in Google Scholar

Khan, S., & Maini, P. (1999). Modeling heterogeneous traffic flow. Transportation Research Record: Journal of the Transportation Research Board, (1678), 234-241.Search in Google Scholar

King, D. M., & Jacobson, S. H. (2017). What is driving obesity? A review on the connections between obesity and motorized transportation. Current Obesity Reports, 6(1), 3-9.Search in Google Scholar

Klein, N. J., & Smart, M. J. (2017). Millennials and car ownership: Less money, fewer cars. Transport Policy, 53, 20-29.Search in Google Scholar

Kopits, E., & Cropper, M. (2005). Traffic fatalities and economic growth. Accident Analysis & Prevention, 37(1), 169-178.Search in Google Scholar

Mannering, F., & Hensher, D. A. (1987). Discrete/continuous econometric models and their application to transport analysis. Transport Reviews, 7(3), 227-244.Search in Google Scholar

Meschik, M. (2012). Reshaping city traffic towards sustainability Why transport policy should favor the bicycle instead of car traffic. Procedia-Social and Behavioral Sciences, 48, 495-504.Search in Google Scholar

Militello, M., & Guajardo, F. (2013). Virtually speaking: How digital storytelling can facilitate organizational learning. Journal of Community Positive Practices, 13(2), 80-91.Search in Google Scholar

Molesworth, M., & Suortti, J. P. (2002). Buying cars online: the adoption of the web for high-involvement, high-cost purchases. Journal of Consumer Behaviour: An International Research Review, 2(2), 155-168.Search in Google Scholar

Naghavi, M., Shahraz, S., Bhalla, K., Jafari, N., Pourmalek, F., Bartels, D., Puthenpurakal, J.A. & Motlagh, M.E. (2009). Adverse health outcomes of road traffic injuries in Iran after rapid motorization. Archives of Iranian Medicine, 12(3), 284-294.Search in Google Scholar

Negrea, X., & Voinea, D. V. (2018). Procedures, Rituals And Creativity In The Mediatic Text. Social Sciences and Education Research Review, 5(2), 124-132.Search in Google Scholar

Nolan, A. (2010). A dynamic analysis of household car ownership. Transportation Research Part A: Policy and Practice, 44(6), 446-455.Search in Google Scholar

Oliver, J. D., & Lee, S. H. (2010). Hybrid car purchase intentions: a cross-cultural analysis. Journal of Consumer Marketing, 27(2), 96-103.Search in Google Scholar

Pereira, B. B., da Cunha, P. B., Silva, G. G., de Campos Júnior, E. O., Morelli, S., Vieira Filho, C. A., Pereira de Lima, E.A. & Barrozo, M. A. S. (2017). Integrated monitoring for environmental health impact assessment related to the genotoxic effects of vehicular pollution in Uberlândia, Brazil. Environmental Science and Pollution Research, 24(3), 2572-2577.Search in Google Scholar

Prada, E.M. (2013). Economic development and migration in European Union. Ovidius University Annals, Economic Sciences Series, 13(1), 259-264.Search in Google Scholar

Priemus, H., Nijkamp, P., & Banister, D. (2001). Mobility and spatial dynamics: an uneasy relationship. Journal of Transport Geography, 9(3), 167-171.Search in Google Scholar

Roșca, V.I. (2018). Too young to drive? The impact of age and generational cohorts on motorization in Europe. Theoretical and Empirical Researches in Urban Management, 13(2), 53-64.Search in Google Scholar

Smarandache, F., Colhon, M., Vlăduţescu, Ş., & Negrea, X. (2019). Word-level neutrosophic sentiment similarity. Applied Soft Computing, 80, 167-176.Search in Google Scholar

Soehodho, S. (2007). Motorization in Indonesia and its impact to traffic accidents. IATSS Research, 31(2), 27-33.Search in Google Scholar

Stanciu, M. (2016). Evolution Of The Family Structures In Romania. Journal of Community Positive Practices, 16(4), 80-100.Search in Google Scholar

Stanciu, M., & Mihăilescu, A. (2018). Population Dynamics in Romania during the Last Century. 1918-2017. Journal of Community Positive Practices, 18(1), 37-46.Search in Google Scholar

Sun, B., Ermagun, A., & Dan, B. (2017). Built environmental impacts on commuting mode choice and distance: Evidence from Shanghai. Transportation Research Part D: Transport and Environment, 52, 441-453.Search in Google Scholar

Tello-Leal, E., Sosa-Reyna, C. M., & Tello-Leal, D. A. (2012). The digital divide: ICT development indices in Mexico. Journal of Community Positive Practices, 4(3), 797-811.Search in Google Scholar

Tomescu, C., Botonogu, F. (2011). The Roma: Inclusion Through Social Economy. Journal of Community Positive Practices, 11(1), 93-111.Search in Google Scholar

Trică, C.L., & Papuc, M. (2013). Green economic growth premise for sustainable development. Theoretical and Applied Economics, 18(1/(578)), 131-140.Search in Google Scholar

Van Wissen, L. J. G., & Meurs, H. J. (1989). The Dutch mobility panel: Experiences and evaluation. Transportation, 16(2), 99-119.Search in Google Scholar

Vlăduţescu, Ş. (2018a). The Implied Message. Social Sciences and Education Research Review, 5(1), 203-209.Search in Google Scholar

Vlăduțescu, S. (2018b). Six Steps of Hermeneutical Process at H.-G. Gadamer. Postmodern Openings, (2), 161-174.Search in Google Scholar

Vlăduțescu, Ș. (2019). Messages and signals. Social Sciences and Education Research Review, 6(1), 170-176.Search in Google Scholar

Wachnicka, J. (2017). Modelling fatalities on regional road networks. In MATEC Web of Conferences, Gambit 2016, Vol. 122, 03011, 1-6. EDP Sciences.Search in Google Scholar

Willoughby, C. (2001). Singapore’s motorization policies 1960–2000. Transport Policy, 8(2), 125-139.Search in Google Scholar

Zacharias, J. (2005). Non-motorized transportation in four Shanghai districts. International Planning Studies, 10(3-4), 323-340.Search in Google Scholar

Zhang, J., Garrick, N. W., Atkinson-Palombo, C., & Ahangari, H. (2017). How similar is China’s traffic safety pattern to industrialized countries in their early stage of motorization? An analysis of death registration data for large and small/medium cities. Journal of Transportation Safety & Security, 9(sup1), 83-102.Search in Google Scholar

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