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Analysis of product efficiency in the Korean automobile market from a consumer’s perspective

Author

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  • Inha Oh
  • Jeong-Dong Lee
  • Seogwon Hwang
  • Almas Heshmati
Abstract
A product is called technically inefficient when it has higher price and/or lower quality than others. Technical inefficiency of product has been conceptualized since Lancaster (1966), and empirically measured by many researchers, for example, Fernandez-Castro and Smith (2002) and Lee et al. (2005) among others. If we know further the information about structure of utility function, allocative inefficiency can also be measured. Even though a product is technically efficient with highest quality together with lowest price, it could not be chosen in the market, if it cannot match the preference structure of consumers, i.e. it is allocatively inefficient. This study poses a conceptual and methodological framework to measure technical and allocative efficiency at the product level considering consumer’s choice, which comprises the overall efficiency. Empirically we combine Data Envelopment Analysis (DEA) and discrete choice model to measure the level of inefficiencies. The suggested framework is applied to the Korean automobile market. The relationship between the level of efficiency and market performance in terms of market share is discussed.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • 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.
    • Handle: RePEc:spr:empeco:v:38:y:2010:i:1:p:119-137
    DOI: 10.1007/s00181-009-0258-x
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    1. Pekka Korhonen & Margareta Soismaa & Aapo Siljamäki, 2002. "On the Use of Value Efficiency Analysis and Some Further Developments," Journal of Productivity Analysis, Springer, vol. 17(1), pages 49-64, January.
    2. Merja Halme & Tarja Joro & Pekka Korhonen & Seppo Salo & Jyrki Wallenius, 1999. "A Value Efficiency Approach to Incorporating Preference Information in Data Envelopment Analysis," Management Science, INFORMS, vol. 45(1), pages 103-115, January.
    3. Charlotte Wojcik, 2001. "Learning by Consumers in the Demand for Japanese Cars," Review of International Economics, Wiley Blackwell, vol. 9(1), pages 94-107, February.
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    23. Wojcik, Charlotte, 2000. "Alternative models of demand for automobiles," Economics Letters, Elsevier, vol. 68(2), pages 113-118, August.
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    Cited by:

    1. Richter, Magnus, 2017. "Time and quality efficiency of Scotch single malt whisky production: An empirical two-model DEA approach," Ilmenauer Schriften zur Betriebswirtschaftslehre, Technische Universität Ilmenau, Institut für Betriebswirtschaftslehre, volume 2, number 22017, September.
    2. 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.
    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. Gary Ferrier & Julie Trivitt, 2013. "Incorporating quality into the measurement of hospital efficiency: a double DEA approach," Journal of Productivity Analysis, Springer, vol. 40(3), pages 337-355, December.
    5. 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.
    6. Ljubica Nedelkoska, 2010. "Occupations at risk: The task content and job stability," Jena Economics Research Papers 2010-024, Friedrich-Schiller-University Jena.
    7. González, Eduardo & Cárcaba, Ana & Ventura, Juan, 2015. "How car dealers adjust prices to reach the product efficiency frontier in the Spanish automobile market," Omega, Elsevier, vol. 51(C), pages 38-48.
    8. 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).
    9. Diaw, Abdou & Bacha, Obiyathulla Ismath & Lahsasna, Ahcene, 2011. "Public Sector Funding and Debt Management: A Case for GDP-Linked Sukuk," MPRA Paper 46008, University Library of Munich, Germany, revised 2011.
    10. Meng, Bing & Xue, Kunkun & Han, Miaoyi, 2022. "Digitalization, natural resources rents, and financial market risk: Evidence from G7 countries," Resources Policy, Elsevier, vol. 79(C).
    11. 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.

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    More about this item

    Keywords

    DEA; Product efficiency; Consumers utility; Automobile market; South Korea; C14; C25; D13; D61; L92;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation

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