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A DEA model to evaluate car efficiency

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  • Christos Papahristodoulou

Abstract

This paper evaluates the efficiency of personal cars by using the non-parametric data envelopment analysis (DEA) approach. Analysis and comparison is performed in a normative manner since all the economic and technical parameters used (four and ten respectively) are not explicitly weighted. The data set covers 121 different car models in 1997, as appeared in the German Auto Motor und Sport magazine.

Suggested Citation

  • Christos Papahristodoulou, 1997. "A DEA model to evaluate car efficiency," Applied Economics, Taylor & Francis Journals, vol. 29(11), pages 1493-1508.
    • Handle: RePEc:taf:applec:v:29:y:1997:i:11:p:1493-1508
    DOI: 10.1080/000368497326327
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    1. Papahristodoulou, C., 1995. "Technical Efficiency and Returns to Scale in the U.S., Japanese and German Auto Manufacturing," Papers 1995-05, Uppsala - Working Paper Series.
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    Cited by:

    1. Mika Kortelainen & Timo Kuosmanen, 2007. "Eco-efficiency analysis of consumer durables using absolute shadow prices," Journal of Productivity Analysis, Springer, vol. 28(1), pages 57-69, October.
    2. Taewoo You & Hongmin Zi, 2007. "The economic crisis and efficiency change: evidence from the Korean construction industry," Applied Economics, Taylor & Francis Journals, vol. 39(14), pages 1833-1842.
    3. Hampf, Benjamin & Krüger, Jens, 2010. "Technical Efficiency of Automobiles – A Nonparametric Approach Incorporating Carbon Dioxide Emissions," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 43177, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Matthias Staat & Hans H. Bauer & Maik Hammerschmidt, 2004. "Structuring Product-Markets: An Approach Based On Customer Value," Microeconomics 0401002, University Library of Munich, Germany.
    5. Muhammet Enis Bulak & Murat Kucukvar, 2022. "How ecoefficient is European food consumption? A frontier‐based multiregional input–output analysis," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 817-832, October.
    6. Inha Oh & Jeong-Dong Lee & Seogwon Hwang & Almas Heshmati, 2010. "Analysis of product efficiency in the Korean automobile market from a consumer’s perspective," Empirical Economics, Springer, vol. 38(1), pages 119-137, February.
    7. Matthias Staat & Maik Hammerschmidt, 2004. "A Super Efficiency Model for Product Evaluation," Microeconomics 0402011, University Library of Munich, Germany.
    8. Ljubica Nedelkoska, 2010. "Occupations at risk: The task content and job stability," Jena Economics Research Papers 2010-024, Friedrich-Schiller-University Jena.
    9. Marco Guerzoni & Rene Soellner, 2013. "Uniqueness Seeking and Demand Estimation in the German Automobile Industry," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 179-199, December.
    10. Gobbo, Simone Cristina de Oliveira & Mariano, Enzo Barberio & Gobbo Jr., José Alcides, 2021. "Combining social network and data envelopment analysis: A proposal for a Selection Employment Contracts Effectiveness index in healthcare network applications," Omega, Elsevier, vol. 103(C).
    11. Choi, Hyundo & Oh, Inha, 2010. "Analysis of product efficiency of hybrid vehicles and promotion policies," Energy Policy, Elsevier, vol. 38(5), pages 2262-2271, May.
    12. Kottas, Angelos T. & Bozoudis, Michail N. & Madas, Michael A., 2020. "Turbofan aero-engine efficiency evaluation: An integrated approach using VSBM two-stage network DEA," Omega, Elsevier, vol. 92(C).
    13. Hampf, Benjamin & Krüger, Jens J., 2010. "Technical efficiency of automobiles: A nonparametric approach incorporating carbon dioxide emissions," Darmstadt Discussion Papers in Economics 198, Darmstadt University of Technology, Department of Law and Economics.
    14. Agovino, Massimiliano & Ferraro, Aniello & Garofalo, Antonio, 2023. "Are green cars an optimal and efficient choice for motorists? Evidence from Italy," Transport Policy, Elsevier, vol. 141(C), pages 140-151.
    15. H. H. Bauer & M. Staat & M. Hammerschmidt, 2003. "Value Based Benchmarking and Market Partitioning," Microeconomics 0309004, University Library of Munich, Germany.
    16. Shogo Eguchi & Hirotaka Takayabu & Mitsuki Kaneko & Shigemi Kagawa & Shunichi Hienuki, 2021. "Proposing effective strategies for meeting an environmental regulation with attainable technology improvement targets," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 2907-2921, November.
    17. Ester Gutiérrez & Sebastián Lozano, 2020. "Benchmarking Formula One auto racing circuits: a two stage DEA approach," Operational Research, Springer, vol. 20(4), pages 2059-2083, December.
    18. Voltes-Dorta, Augusto & Perdiguero, Jordi & Jiménez, Juan Luis, 2013. "Are car manufacturers on the way to reduce CO2 emissions?: A DEA approach," Energy Economics, Elsevier, vol. 38(C), pages 77-86.
    19. Ylvinger, Svante, 2003. "Light-duty vehicles and external impacts: Product- and policy-performance assessment," European Journal of Operational Research, Elsevier, vol. 144(1), pages 194-208, January.

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