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2015 | 10 | 2 | 148-162

Article title

Factors influencing consumers’ light commercial vehicle purchase intention in a developing country

Title variants

Languages of publication

EN

Abstracts

EN
The main objective of this paper is to determine factors affecting the intention to purchase a light commercial vehicle that may be influential in a developing country. For this purpose, a self-administered survey was conducted on 408 people living in Erzurum city, North-Eastern Turkey. The data of the survey was analyzed using binary logistic regression model due to the discrete and categorical nature of the dependent variable. Results revealed that gender, age, monthly income, household size, type of driving license, type of fuel, a significant increase in the monthly income, and costs of having SRC-K licenses were significant determinants of consumers’ light commercial vehicle demand. Whilst consumers’ automotive demand has been extensively studied, little research has been concentrated on light commercial vehicle demand. In this respect, the outcome of this study may provide valuable insights for the existing consumer demand literature in terms of light commercial vehicle purchase intention

Publisher

Year

Volume

10

Issue

2

Pages

148-162

Physical description

Dates

published
2015-09-01
online
2015-09-01

Contributors

author
  • Atatürk University, Erzurum, Turkey
author
  • Atatürk University, Erzurum, Turkey
  • Ondokuz Mayıs University, Samsun, Turkey
  • Ondokuz Mayıs University, Samsun, Turkey

References

  • Agresti, A. (2002), Categorical Data Analysis, John Wiley & Sons, New Jersey.
  • Alper, C.E. and Mumcu, A. (2007), “Interaction between price, quality and country of origin when estimating automobile demand: The case of Turkey”, Applied Economics, Vol. 39, No. 4, pp. 1789-1796.[Crossref]
  • Automotive Distributers’ Association. (2015), Passenger Car and Light Commercial Vehicle Market Press Review, January 07, 2015, available at www.odd.org.tr/folders/2837/categorial1docs/1056/Press%20Release%207%20Jan%202015.pdf (accessed January 21, 2015).
  • Automotive Distributers’ Association and The Economic Research Foundation of Turkey, (2013), Dünya ve Türkiye Otomotiv Sektörü 2013 (in Turkish), available at: www.odd.org.tr/folders/2837/categorial1docs/821/ic%20dokumanlar.pdf, (accessed January 21, 2015).
  • Baltas, G. and Saridakis, C. (2013), “An empirical investigation of the impact of behavioural and psychographic consumer characteristics on car preferences: An integrated model of car type choice”, Transportation Research Part A: Policy and Practice, Vol. 54, pp. 92-110.[Crossref]
  • Bhat, C.R. and Sen, S. (2006), “Household vehicle type holdings and usage: An application of the multiple discrete-continuous extreme value (MDCEV) model”, Transportation Research Part B: Methodological, Vol. 40 No. 1, pp. 35-53.[Crossref]
  • Bhat, C.R., Sen, S. and Eluru, N. (2009), “The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use”, Transportation Research Part B: Methodological, Vol. 43 No. 1, pp. 1-18.[Crossref]
  • Cao, X., Mokhtarian, P.L. and Handy, S.L., (2006), “Neighborhood design and vehicle type choice: Evidence from Northern California”, Transportation Research Part D: Transport and Environment, Vol. 11 No. 2, pp. 133-145.[Crossref]
  • Choo, S. and Mokhtarian, P.L. (2004), “What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice”, Transportation Research Part A: Policy and Practice, Vol. 38 No. 3, pp. 201-222.[Crossref]
  • Dagsvik, J. and Liu, G. (2009), “A framework for analyzing rank-ordered data with application to automobile demand”, Transportation Research Part A: Policy and Practice, Vol. 43 No. 1, pp. 1-12.[Crossref]
  • Dargay, J. and Gately, (1999), “Income effect on car and vehicle ownership, worldwide: 1960-2015”, Transportation Research Part A: Policy and Practice, Vol. 33 No. 2, pp. 101-138.
  • Dargay, J.M. (2001), “The effect of income on car ownership: Evidence of asymmetry”, Transportation Research Part A: Policy and Practice, Vol. 35 No. 9, pp. 807-821.[Crossref]
  • 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, Vol. 38 No. 5, pp. 351-366.[Crossref]
  • DeMaris, A. (2004), Regression with Social Data: Modeling Continuous and Limited Response Variables, John Wiley & Sons, Inc., New Jersey.
  • Ede, F.O. and Panigrahi, B. (2000), “African-American consumer attitudes toward domestic and foreign-made automobiles”, Management Research News, Vol. 23, No. 5/6, pp. 1-19.
  • Hackbarth, A. and Badlener, R. (2013), “Consumer preferences for alternative fuel vehicles: A discrete choice analysis”, Transportation Research Part D: Transport and Environment, Vol. 25, pp. 5-17.
  • Hess, S., Fowler, M., Adler, T. and Bahreinian, A. (2012), “A joint model for vehicle type and fuel type choice: Evidence from a cross-nested logit study”, Transportation, Vol. 39, No. 3, pp. 593-625.[Crossref]
  • Hosmer, D.W. and Lemeshow, S. (2000), Applied Logistic Regression, John Wiley & Sons, New York.
  • Kırcova, İ., Altınay, G., Onat, B. and Alver Şahin, Ü. (2012), Otomotiv Ticaretinde Yol Haritası: Talep Tahmini, 2012-2016 (in Turkish), Otomotiv Distribütörleri Derneği, İstanbul.
  • Kitapcı, O., Özekicioğlu, H., Kaynar, O. and Taştan, S. (2014), “The effect of economic policies applied in Turkey to the sale of automobiles: Multiple regression and neural network analysis”, Procedia - Social and Behavioral Science, Vol. 148, pp. 653-661.
  • KPMG International. (2014), KPMG’s Global Automotive Executive Survey 2014: Strategies for a Fast-Evolving Market, available at: www.kpmg.com/DE/de/Documents/global-automotive-executive-survey-2014-KPMG.pdf (accessed January 21, 2015).
  • KPMG Turkey. (2014), 2014 Automotive Executives Survey: Sustainable Growth in the Turkish Automotive Sector, 2018 Projections, available at: www.kpmg.com/TR/en/IssuesAndInsights/ArticlesPublications/Documents/Turkey-2014-Automotive-Executives-Survey.pdf, (accessed January 21, 2015).
  • Kumar, M. and Krishna Rao, K.V. (2006), “A stated preference study for a car ownership model in the context of developing countries”, Transportation Planning and Technology, Vol. 29, No. 5, pp. 409-425.[Crossref]
  • Lam, W.H.K., MacDonald, C. and Tam, M.L. (2000), “A logit analysis of car ownership in Hong Kong based on stated intention information”, HKIE Transactions, Vol. 7, No. 2, pp. 21-28.
  • Long, J.S. and Freese, J. (2001), Regression Models for Categorical Dependent Variables Using Stata, Stata Press, Texas.
  • Liu, Y., Tremblay, J.M. and Cirillo, C. (2014), “An integrated model for discrete and continuous decisions with application to vehicle ownership, type and usage choices”, Transportation Research Part A: Policy and Practice, Vol. 69, pp. 315-328.[Crossref]
  • Mabit, S.L. (2014), “Vehicle type choice under the influence of a tax reform and rising fuel prices”, Transportation Research Part A: Policy and Practice, Vol. 64, pp. 32-42.[Crossref]
  • Matas, A. and Raymond, J.L. (2008), “Changes in the structure of car ownership in Spain”, Transportation Research Part A: Policy and Practice, Vol. 42, No. 1, pp. 187-202.[Crossref]
  • Medlock III, K.B. and Soligo, R. (2002), “Car ownership and economic development with forecasts to the year 2015”, Journal of Transport Economics and Policy, Vol. 36, No. 2, pp. 163-188.
  • Nayum, A. and Klöckner, C.A. (2014), “A comprehensive socio-psychological approach to car type choice”, Journal of Environmental Psychology, Vol. 40, pp. 401-411.[Crossref]
  • Nayum, A., Klöckner, C.A. and Prugsamatz, S. (2013), “Influences of car type class and carbon dioxide emission levels on purchases of new cars: A retrospective analysis of car purchases in Norway”, Transportation Research Part A: Policy and Practice, Vol. 48, pp. 96-108.[Crossref]
  • Nolan, A. (2010), “A dynamic analysis of household car ownership”, Transportation Research Part A: Policy and Practice, Vol. 44, No. 6, pp. 446-455.[Crossref]
  • Nunnally, J.C. (1978), Psychometric Theory, Mc-Graw-Hill, New York.
  • Oliver, J.D. and Lee, S.H. (2010), “Hybrid car purchase intentions: A cross-cultural analysis”, Journal of Consumer Marketing, Vol. 27, No. 2, pp. 96-103.[Crossref]
  • Özçam, A. and Sağlık Özçam, D. (2012), “A review of econometric estimation of consumer demand for automobiles and the country of origin (COO) effects”, Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Dergisi, Vol. 27, No. 1, pp. 97-132.
  • Potoglou, D. (2006), “Vehicle-type choice and neighbourhood characteristics: An empirical study of Hamilton, Canada”, Transportation Research Part D: Transport and Environment, Vol. 13, No. 3, pp. 177-186.[Crossref]
  • Potoglou, D. and Kanaroglou, P.S. (2008a), “Modelling car ownership in urban areas: A case study of Hamilton, Canada”, Journal of Transport Geography, Vol. 16, No. 1, pp. 42-54.[Crossref]
  • Potoglou, D. and Kanaroglou, P.S. (2008b), “Disaggregate demand analyses for conventional and alternative fueled automobiles: A review, International Journal of Sustainable Transportation, Vol. 2, No. 4, pp. 234-259. [Crossref]
  • Prieto, M. and Caemmerer, B. (2013), “An exploration of factors influencing car purchasing decisions”, International Journal of Retail & Distribution Management, Vol. 41, No. 10, pp. 738-764.
  • Qian, L. and Soopramanien, D. (2011), “Heterogeneous consumer preferences for alternative fuel cars in China”, Transportation Research Part D: Transport and Environment, Vol. 16, No. 8, pp. 607-613.[Crossref]
  • Romilly, P., Sang, H. and Liu, X. (2001), “Car ownership and use in Britain: A comparison of the empirical results of alternative cointegration estimation methods and forecasts”, Applied Economics, Vol. 33, No. 14, pp. 1803-1818.[Crossref]
  • Sanko, N., Dissanayeke, D., Kurauchi, S., Maesoba, H., Yamamoto, T. and Morikawa, T. (2014), “Household car and motorcycle ownership in Bangkok and Kuala Lumpur in comparison with Nagoya”, Transportmetrica A: Transport Science, Vol. 10, No. 3, pp. 187-213.[Crossref]
  • Sedzro, K.M., Amewu, G., Darko, J., Nortey, E.N.N. and Dasah, J.B. (2014), “Determinants of automobile purchase and brand choice in Ghana: Multinomial logit approach”, Journal of Transnational Management, Vol. 19, No. 4, pp. 303-317.
  • Tanaka, M., Ida, T., Murakami, K. and Friedman, L. (2014), “Consumers’ willingness to pay for alternative fuel vehicles: A comparative discrete choice analysis between the US and Japan”, Transportation Research Part A: Policy and Practice, Vol. 70, pp. 194-209.[Crossref]
  • Thanasuta, K., Patoomsuwan T., Chaimahawong, V. and Chiaravutthi, Y. (2009),"Brand and country of origin valuations of automobiles", Asia Pacific Journal of Marketing and Logistics, Vol. 21, No. 3, pp. 355 - 375
  • TurkStat (2013), Address Based Population Registration System Statistics 2013, Turkish Statistical Institute, Ankara.
  • Urbonavičius, S., Dikčius, V. and Časas, R. (2007), “Automobile country of origin related associations in Lithuanian market”, Transport, Vol. 22, No. 3, pp. 1-6.
  • Wong, K.I. (2013), “An analysis of car and motorcycle ownership in Macao”, International Journal of Sustainable Transportation, Vol. 7, No. 3, pp. 204-225.[Crossref]
  • Xu, G., Miwa, T., Morikawa, T. and Yamamoto, T. (2015), “Vehicle purchasing behaviors comparison in two-stage choice perspective before and after ecocar promotion policy in Japan”, Transportation Research Part D: Transport and Environment, Vol. 34, pp. 195-207.[Crossref]
  • Yamane, T. (1967), Elementary Sampling Theory, Prentice-Hall, New Jersey.
  • Yılmaz, Ö. (2001), “Erzurum’da otomobil talebinde etkili olan demografik faktörlerin ekonometrik analizi (in Turkish)”, Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, Vol. 15, No. 1-2, pp. 105-115.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.doi-10_1515_mmcks-2015-0012
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