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Combinatorial Auction of Used Cars Considering Pro-Environment Attribute: A Social Welfare Perspective

Author

Listed:
  • Gang Ma

    (College of Economics and Management, Zhengzhou University of Light Industry, Zhengzhou 450001, China)

  • Zhengming Zhou

    (Postdoctoral Research Station, Bank of Communications, Shanghai 200336, China)

  • Shilei Wang

    (Bussiness School, Zhengzhou University of Aeronautics, Zhengzhou 454000, China)

  • Ke Zhou

    (Economics and Management School, Wuhan University, Wuhan 430072, China)

  • Junjun Zheng

    (Economics and Management School, Wuhan University, Wuhan 430072, China)

  • Chujian Wang

    (College of Economics and Management, Zhengzhou University of Light Industry, Zhengzhou 450001, China)

Abstract

Air pollution is becoming more and more serious as the number of vehicles increases. To address such problems, many cities have implemented many measures, including the circular economy mode, in which used cars with low carbon emission are becoming important in the sustainable transportation and carbon abatement. Considering multi-attribute demand, this study designed combinatorial auction mechanism for the bidders of automobile enterprises on an online used-car platform to achieve social welfare maximization. Two kinds of attributes were considered, namely, price attribute and non-price attributes; the latter particularly included the pro-environment attribute based on an analysis of complementarity and substitutability. Moreover, the mechanism was proved to satisfy individual rational condition and incentive compatibility condition. Numerical application showed that preference for the pro-environment attribute can better realize social welfare and respond to national energy conservation and emission reduction targets. As a result, from the social welfare perspective, the multi-attribute combinatorial auction can provide a reference for more fair and effective allocation of used cars to bidders and can promote both buyer’s utility and seller’s income.

Suggested Citation

  • Gang Ma & Zhengming Zhou & Shilei Wang & Ke Zhou & Junjun Zheng & Chujian Wang, 2023. "Combinatorial Auction of Used Cars Considering Pro-Environment Attribute: A Social Welfare Perspective," Sustainability, MDPI, vol. 15(16), pages 1-16, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12512-:d:1219381
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    References listed on IDEAS

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    1. Palfrey, Thomas R. & Pevnitskaya, Svetlana, 2008. "Endogenous entry and self-selection in private value auctions: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 66(3-4), pages 731-747, June.
    2. Gülşah Karakaya & Murat Köksalan, 2016. "An interactive approach for Bi-attribute multi-item auctions," Annals of Operations Research, Springer, vol. 245(1), pages 97-119, October.
    3. Robert C. Marshall & Leslie M. Marx, 2009. "The Vulnerability of Auctions to Bidder Collusion," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 883-910.
    4. Shilei Wang & Ying Ji & M. I. M. Wahab & Dan Xu & Changbao Zhou, 2022. "A New Decision Framework of Online Multi-Attribute Reverse Auctions for Green Supplier Selection under Mixed Uncertainty," Sustainability, MDPI, vol. 14(24), pages 1-23, December.
    5. Edieal J. Pinker & Abraham Seidmann & Yaniv Vakrat, 2003. "Managing Online Auctions: Current Business and Research Issues," Management Science, INFORMS, vol. 49(11), pages 1457-1484, November.
    6. Ning Sun & Zaifu Yang, 2009. "A Double-Track Adjustment Process for Discrete Markets With Substitutes and Complements," Econometrica, Econometric Society, vol. 77(3), pages 933-952, May.
    7. Ervasti, Valtteri & Leskelä, Riikka-Leena, 2010. "Allocative efficiency in simulated multiple-unit combinatorial auctions with quantity support," European Journal of Operational Research, Elsevier, vol. 203(1), pages 251-260, May.
    8. Sumin Yu & Xiaoting Zhang & Zhijiao Du & Yanyan Chen, 2023. "A New Multi-Attribute Decision Making Method for Overvalued Star Ratings Adjustment and Its Application in New Energy Vehicle Selection," Mathematics, MDPI, vol. 11(9), pages 1-32, April.
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