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Research on Evaluation of Power Battery Recycling Efficiency of New Energy Vehicle Based on DEA

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DOI: 10.23977/ieim.2023.060710 | Downloads: 36 | Views: 413

Author(s)

Juan Huang 1, Jingjing Wen 1, Feiyan He 1

Affiliation(s)

1 School of Economics and Management, Sichuan Tourism University, Chengdu, 610100, China

Corresponding Author

Juan Huang

ABSTRACT

In recent years, the new energy vehicle industry has developed rapidly, and the recovery of waste power batteries has become an increasingly serious challenge. In this context, power battery recycling recovery has become an important part of the sustainable development of the new energy vehicle industry. If this problem cannot be solved, it will directly affect the development of new energy vehicles. This paper summarizes and analyzes the existing four main power battery recycling modes, and evaluates the power battery recycling efficiency under the recycling mode led by battery manufacturers, vehicle manufacturers, lithium battery materials enterprises and third-party recycling enterprises respectively through DEA data envelopment analysis model, according to the enterprise's investment costs and operating income in the power battery recycling business. The research results indicate that under the dominant mode of third-party recycling enterprises, due to their ability to collaborate in recycling related industries and integrate resources to a certain extent, compared to individual recycling entities under the other three modes, building a closed-loop supply chain recycling model with third-party recycling enterprises as the main body is more likely to exert network circulation effects and achieve the highest recycling efficiency. To provide certain reference for the formulation of recycling strategies for relevant enterprise.

KEYWORDS

Power battery recycling, recycling modes, DEA, recycling efficiency

CITE THIS PAPER

Juan Huang, Jingjing Wen, Feiyan He, Research on Evaluation of Power Battery Recycling Efficiency of New Energy Vehicle Based on DEA. Industrial Engineering and Innovation Management (2023) Vol. 6: 71-77. DOI: http://dx.doi.org/10.23977/ieim.2023.060710.

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