{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T10:52:30Z","timestamp":1766400750991},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2021,10,29]],"date-time":"2021-10-29T00:00:00Z","timestamp":1635465600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,29]]},"abstract":"<jats:p>This research is to investigate the decision making of the members of remanufacturing supply chain under the government involvement. Different scenarios are analyzed in this research, and it is found that the subsidy for carbon emission reduction can increase the WPs (waste products) reusing. When the recycler participates in remanufacturing supply chain, the cost of remanufacturer will be shared and through centralizing the decision making, the carbon emission reduction will be enhanced and the whole supply chain\u2019s profit will decrease. So it is suggested that the government need to adjust the subsidy for carbon emission reduction in terms of the quality level of WPs and the cooperation between recycler and remanufacturer is suggested, especially in the high-value waste remanufacturing supply chain.<\/jats:p>","DOI":"10.3233\/faia210305","type":"book-chapter","created":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T19:44:52Z","timestamp":1635882292000},"source":"Crossref","is-referenced-by-count":2,"title":["Investigating the Impact of Carbon Subsidy Policy on the Decision-Making of Remanufacturing Supply Chain"],"prefix":"10.3233","author":[{"given":"Yu","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Economics and Management, Chang\u2019an University, Xi\u2019an, China"}]},{"given":"Tianshan","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Chang\u2019an University, Xi\u2019an, China"}]},{"given":"Syed Abdul Rehman","family":"Khan","sequence":"additional","affiliation":[{"name":"School of Management, Xuzhou University of Technology, Xuzhou, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Modern Management based on Big Data II and Machine Learning and Intelligent Systems III"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA210305","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T19:45:04Z","timestamp":1635882304000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA210305"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,29]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia210305","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,29]]}}}