Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/113029
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Industrial and Systems Engineering | en_US |
| dc.contributor | Research Institute for Advanced Manufacturing | en_US |
| dc.contributor | Research Centre for Digital Transformation of Tourism | en_US |
| dc.creator | Wu, W | en_US |
| dc.creator | Li, M | en_US |
| dc.creator | Huang, GQ | en_US |
| dc.date.accessioned | 2025-05-19T00:51:54Z | - |
| dc.date.available | 2025-05-19T00:51:54Z | - |
| dc.identifier.issn | 0143-6570 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/113029 | - |
| dc.language.iso | en | en_US |
| dc.publisher | John Wiley & Sons Ltd. | en_US |
| dc.rights | This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits use and distribution in any medium, provided the original work is properly cited, the use is non- commercial and no modifications or adaptations are made. | en_US |
| dc.rights | © 2025 The Author(s). Managerial and Decision Economics published by John Wiley & Sons Ltd. | en_US |
| dc.rights | The following publication Wu, W., Li, M. and Huang, G. (2025), Optimal Recovery Mode for New Energy Vehicle Battery Recycling Under Government Policies. Manage Decis Econ, 46: 2629-2642 is available at https://doi.org/10.1002/mde.4487. | en_US |
| dc.subject | Government policies | en_US |
| dc.subject | NEV battery recycling | en_US |
| dc.subject | Recovery mode | en_US |
| dc.title | Optimal recovery mode for new energy vehicle battery recycling under government policies | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 2629 | en_US |
| dc.identifier.epage | 2642 | en_US |
| dc.identifier.volume | 46 | en_US |
| dc.identifier.issue | 4 | en_US |
| dc.identifier.doi | 10.1002/mde.4487 | en_US |
| dcterms.abstract | The choice of spent new energy vehicle (NEV) battery recovery mode is crucial to improve recovery performance. This paper examines the decision-making rules for the closed-loop supply chain of NEV batteries under the intervention of government policies. It also compares the performance of the supply chain across various recovery modes and the effects of different policies. Results indicate that (1) in terms of total revenue and recovery rate, the battery producer recovery mode, mixed recovery mode involving automobile manufacturer and professional recycler, is more effective. (2) The optimal solution for the decision variable is influenced by government policies, and this influence remains consistent across different recovery modes. (3) The positive impact of the deposit-return system is linked to the relationship between the deposit amount and the reward scale. If the refund constitutes too small a proportion of the deposit, both total revenue and recovery rate will decline. Reducing recycling channel costs and enhancing purchasers' environmental awareness can increase the battery recycling ratio and higher total revenue. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Managerial and decision economics, June 2025, v. 46, no. 4, p. 2629-2642 | en_US |
| dcterms.isPartOf | Managerial and decision economics | en_US |
| dcterms.issued | 2025-06 | - |
| dc.identifier.scopus | 2-s2.0-85215358200 | - |
| dc.identifier.eissn | 1099-1468 | en_US |
| dc.description.validate | 202505 bcch | en_US |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_TA, a3913 | - |
| dc.identifier.SubFormID | 51638 | - |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | The Departmental General Research Fund of PolyU (P0045748) | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.TA | Wiley (2025) | en_US |
| dc.description.oaCategory | TA | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Wu_Optimal_Recovery_Mode.pdf | 3.04 MB | Adobe PDF | View/Open |
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