IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v43y2009i4p420-429.html
   My bibliography  Save this article

Demand forecasting of diesel passenger car considering consumer preference and government regulation in South Korea

Author

Listed:
  • Lee, Jongsu
  • Cho, Youngsang

Abstract

Changing market regulations in South Korea have allowed diesel-fueled passenger cars in the domestic market. The diffusion of diesel cars is tied to issues of environmental impact, energy supply and demand, and changes in tax revenue. Policymakers can influence demand for diesel vehicles to protect social welfare and to observe international environmental protection laws. On the supply side, carmakers need to know consumer preferences regarding new vehicles to arrive at development strategies. This study uses microsimulated demand forecasting to address these issues and predict consumer demand for diesel passenger cars. The model accommodates governmental policies and car attributes such as price and engine efficiency. We find that consumers will likely prefer diesel passenger cars to gasoline ones due to the low operation costs of the former in spite of high purchase price when diesel is relatively cheaper than gasoline. Finally we find that diesel passenger cars will capture a 42% market penetration ratio under the pricing system suggested by the Ministry of Environment of Korea.

Suggested Citation

  • Lee, Jongsu & Cho, Youngsang, 2009. "Demand forecasting of diesel passenger car considering consumer preference and government regulation in South Korea," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 420-429, May.
  • Handle: RePEc:eee:transa:v:43:y:2009:i:4:p:420-429
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965-8564(08)00211-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lee, Myung-Kyoon, 2005. "Reviewing tax system and its reform plan for the fuel market in South Korea," Energy Policy, Elsevier, vol. 33(4), pages 475-482, March.
    2. Bunch, David S. & Bradley, Mark & Golob, Thomas F. & Kitamura, Ryuichi & Occhiuzzo, Gareth P., 1993. "Demand for clean-fuel vehicles in California: A discrete-choice stated preference pilot project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(3), pages 237-253, May.
    3. Roe, Brian & Boyle, Kevin J. & Teisl, Mario F., 1996. "Using Conjoint Analysis to Derive Estimates of Compensating Variation," Journal of Environmental Economics and Management, Elsevier, vol. 31(2), pages 145-159, September.
    4. Hensher, David A., 1982. "Functional measurement, individual preference and discrete-choice modelling: Theory and application," Journal of Economic Psychology, Elsevier, vol. 2(4), pages 323-335, December.
    5. Batt, Carl E & Katz, James E, 1997. "A conjoint model of enhanced voice mail services. Implications for new service development and forecasting," Telecommunications Policy, Elsevier, vol. 21(8), pages 743-760, October.
    6. Becky Loo & S. Wong & Timothy Hau, 2006. "Introducing alternative fuel vehicles in Hong Kong: views from the public light bus industry," Transportation, Springer, vol. 33(6), pages 605-619, November.
    7. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    8. John Calfee & Clifford Winston & Randolph Stempski, 2001. "Econometric Issues In Estimating Consumer Preferences From Stated Preference Data: A Case Study Of The Value Of Automobile Travel Time," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 699-707, November.
    9. McCarthy, Patrick S. & Tay, Richard S., 1998. "New Vehicle Consumption and Fuel Efficiency: A Nested Logit Approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 34(1), pages 39-51, March.
    10. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    11. Bolduc, Denis, 1999. "A practical technique to estimate multinomial probit models in transportation," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 63-79, February.
    12. Slothuus, Ulla & Larsen, Mette L. & Junker, Peter, 2002. "The contingent ranking method--a feasible and valid method when eliciting preferences for health care?," Social Science & Medicine, Elsevier, vol. 54(10), pages 1601-1609, May.
    13. Fernando San Miguel & Mandy Ryan & Emma McIntosh, 2000. "Applying conjoint analysis in economic evaluations: an application to menorrhagia," Applied Economics, Taylor & Francis Journals, vol. 32(7), pages 823-833.
    14. Jae-Hong Kim & Seungil Lee & John Preston, 2006. "The Impact of the Fuel Price Policy on the Demand for Diesel Passenger Cars in Korean Cities," International Review of Public Administration, Taylor & Francis Journals, vol. 10(2), pages 61-73, January.
    15. Brownstone, David & Bunch, David S & Golob, Thomas F & Ren, Weiping, 1996. "A Transactions Choice Model for Forecasting Demand for Alternative-Fuel Vehicles," University of California Transportation Center, Working Papers qt3sm7w9zk, University of California Transportation Center.
    16. Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maeng, Kyuho & Jeon, Seung Ryong & Park, Taeho & Cho, Youngsang, 2021. "Network effects of connected and autonomous vehicles in South Korea: A consumer preference approach," Research in Transportation Economics, Elsevier, vol. 90(C).
    2. Truschkin, Eugen & Elbert, Ralf, 2013. "Horizontal transshipment technologies as enablers of combined transport: Impact of transport policies on the modal split," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 91-109.
    3. Kyuho Maeng & Sungmin Ko & Jungwoo Shin & Youngsang Cho, 2020. "How Much Electricity Sharing Will Electric Vehicle Owners Allow from Their Battery? Incorporating Vehicle-to-Grid Technology and Electricity Generation Mix," Energies, MDPI, vol. 13(16), pages 1-25, August.
    4. Ericka Costa & Dario Montemurro & Diego Giuliani, 2019. "Consumers’ willingness to pay for green cars: a discrete choice analysis in Italy," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(5), pages 2425-2442, October.
    5. Ralf Elbert & Lowis Seikowsky, 2017. "The influences of behavioral biases, barriers and facilitators on the willingness of forwarders’ decision makers to modal shift from unimodal road freight transport to intermodal road–rail freight tra," Journal of Business Economics, Springer, vol. 87(8), pages 1083-1123, November.
    6. Al-Ghandoor, Ahmed & Jaber, Jamal & Al-Hinti, Ismael & Abdallat, Yousef, 2013. "Statistical assessment and analyses of the determinants of transportation sector gasoline demand in Jordan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 129-138.
    7. Rasti-Barzoki, Morteza & Moon, Ilkyeong, 2021. "A game theoretic approach for analyzing electric and gasoline-based vehicles’ competition in a supply chain under government sustainable strategies: A case study of South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    8. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 190-203.
    9. Tovar, Miguel A., 2011. "An integral evaluation of dieselisation policies for households' cars," Energy Policy, Elsevier, vol. 39(9), pages 5228-5242, September.
    10. Byun, Hyunsuk & Shin, Jungwoo & Lee, Chul-Yong, 2018. "Using a discrete choice experiment to predict the penetration possibility of environmentally friendly vehicles," Energy, Elsevier, vol. 144(C), pages 312-321.
    11. Xu, Chen (Sarah) & Cheng, Liang-Chieh (Victor), 2016. "Adoption of Natural Gas Vehicles – Estimates for the U.S. and the State of Texas," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 55(2), August.
    12. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
    13. Shim, Changsub, 2017. "Policy Measures for Mitigating Fine Particle Pollution in Korea and Suggestions for Expediting International Dialogue in East Asia," Working Papers 150, JICA Research Institute.
    14. Konstantakis, Konstantinos N. & Milioti, Christina & Michaelides, Panayotis G., 2017. "Modeling the dynamic response of automobile sales in troubled times: A real-time Vector Autoregressive analysis with causality testing for Greece," Transport Policy, Elsevier, vol. 59(C), pages 75-81.
    15. Rasti-Barzoki, Morteza & Moon, Ilkyeong, 2020. "A game theoretic approach for car pricing and its energy efficiency level versus governmental sustainability goals by considering rebound effect: A case study of South Korea," Applied Energy, Elsevier, vol. 271(C).
    16. Homolka, Lubor & Ngo, Vu Minh & Pavelková, Drahomíra & Le, Bach Tuan & Dehning, Bruce, 2020. "Short- and medium-term car registration forecasting based on selected macro and socio-economic indicators in European countries," Research in Transportation Economics, Elsevier, vol. 80(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dimitropoulos, Alexandros & Rietveld, Piet & van Ommeren, Jos N., 2013. "Consumer valuation of changes in driving range: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 27-45.
    2. Yeonbae Kim & Jeong-Dong Lee & Daeyoung Koh, 2005. "Effects of consumer preferences on the convergence of mobile telecommunications devices," Applied Economics, Taylor & Francis Journals, vol. 37(7), pages 817-826.
    3. Matthew J. Beck & John M. Rose & Stephen P. Greaves, 2017. "I can’t believe your attitude: a joint estimation of best worst attitudes and electric vehicle choice," Transportation, Springer, vol. 44(4), pages 753-772, July.
    4. Ahn, Jiwoon & Jeong, Gicheol & Kim, Yeonbae, 2008. "A forecast of household ownership and use of alternative fuel vehicles: A multiple discrete-continuous choice approach," Energy Economics, Elsevier, vol. 30(5), pages 2091-2104, September.
    5. Alexandros Dimitropoulos & Piet Rietveld & Jos N. van Ommeren, 2011. "Consumer Valuation of Driving Range: A Meta-Analysis," Tinbergen Institute Discussion Papers 11-133/3, Tinbergen Institute.
    6. Kim, Junghun & Seung, Hyunchan & Lee, Jongsu & Ahn, Joongha, 2020. "Asymmetric preference and loss aversion for electric vehicles: The reference-dependent choice model capturing different preference directions," Energy Economics, Elsevier, vol. 86(C).
    7. Zhang, Yong & Yu, Yifeng & Zou, Bai, 2011. "Analyzing public awareness and acceptance of alternative fuel vehicles in China: The case of EV," Energy Policy, Elsevier, vol. 39(11), pages 7015-7024.
    8. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 190-203.
    9. Anders F. Jensen & Elisabetta Cherchi & Stefan L. Mabit & Juan de Dios Ortúzar, 2017. "Predicting the Potential Market for Electric Vehicles," Transportation Science, INFORMS, vol. 51(2), pages 427-440, May.
    10. Aurélie Glerum & Lidija Stankovikj & Michaël Thémans & Michel Bierlaire, 2014. "Forecasting the Demand for Electric Vehicles: Accounting for Attitudes and Perceptions," Transportation Science, INFORMS, vol. 48(4), pages 483-499, November.
    11. Dagsvik, John K. & Wennemo, Tom & Wetterwald, Dag G. & Aaberge, Rolf, 2002. "Potential demand for alternative fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 36(4), pages 361-384, May.
    12. Truschkin, Eugen & Elbert, Ralf, 2013. "Horizontal transshipment technologies as enablers of combined transport: Impact of transport policies on the modal split," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 91-109.
    13. J�r�me Massiani, 2013. "The use of Stated Preferences to forecast alternative fuel vehicles market diffusion: Comparisons with other methods and proposal for a Synthetic Utility Function," Working Papers 2013:12, Department of Economics, University of Venice "Ca' Foscari".
    14. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    15. Soares, N. & Martins, A.G. & Carvalho, A.L. & Caldeira, C. & Du, C. & Castanheira, É. & Rodrigues, E. & Oliveira, G. & Pereira, G.I. & Bastos, J. & Ferreira, J.P. & Ribeiro, L.A. & Figueiredo, N.C. & , 2018. "The challenging paradigm of interrelated energy systems towards a more sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 171-193.
    16. van den Berg, Bernard & Al, Maiwenn & Brouwer, Werner & van Exel, Job & Koopmanschap, Marc, 2005. "Economic valuation of informal care: The conjoint measurement method applied to informal caregiving," Social Science & Medicine, Elsevier, vol. 61(6), pages 1342-1355, September.
    17. Loría, Luis Enrique & Watson, Verity & Kiso, Takahiko & Phimister, Euan, 2019. "Investigating users' preferences for Low Emission Buses: Experiences from Europe's largest hydrogen bus fleet," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    18. Martin Achtnicht, 2012. "German car buyers’ willingness to pay to reduce CO 2 emissions," Climatic Change, Springer, vol. 113(3), pages 679-697, August.
    19. Gabriela D. Oliveira & Luis C. Dias, 2019. "Influence of Demographics on Consumer Preferences for Alternative Fuel Vehicles: A Review of Choice Modelling Studies and a Study in Portugal," Energies, MDPI, vol. 12(2), pages 1-33, January.
    20. Nobuyuki Ito & Kenji Takeuchi & Shunsuke Managi, 2012. "Willingness to pay for the infrastructure investments for alternative fuel vehicles," Discussion Papers 1207, Graduate School of Economics, Kobe University.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:43:y:2009:i:4:p:420-429. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.