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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 工業工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/48024
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor郭瑞祥(Ruey-Shan Guo)
dc.contributor.authorJia-Lan Hsuen
dc.contributor.author許嘉蘭zh_TW
dc.date.accessioned2021-06-15T06:44:38Z-
dc.date.available2011-07-18
dc.date.copyright2011-07-18
dc.date.issued2011
dc.date.submitted2011-06-29
dc.identifier.citation1. 任書婷,政府涉入綠色供應鏈之最適經濟政策模型,國立交通大學交通運輸研究所碩士論文,2007。
2. 林駿甫,在價格敏感需求模式下考慮產品再製的閉環式供應鏈存貨系統之最佳策略,國立台灣科技大學資訊管理所碩士論文,2010。
1. Atasu, A., Sarvary, M. and Van Wassenhove, L.N., (2008), “Remanufacturing as a marketing strategy”, Management Science. 54, 10, 1743-1746
2. Chen, C., (2001), “Design for the environment: a quality-based model for green product development”, Management Science. 47, 2, 250-263
3. Chiang, W.K., Chhajed, D. and Hess, J.D., (2003), “Direct marketing, indirect profits: a strategic analysis of dual-channel supply-chain design”, Management Science, 49, 1, 1-20
4. Ferrer, G. and Swaminathan, J.M., (2006), “Managing new and remanufactured products”, Management Science, 52, 1, 15-26
5. Ferrer, G. and Swaminathan, J.M., (2010), “Managing new and differentiated remanufactured products”, European Journal of Operational Research, 203, 2, 370-379
6. Fleischmann, M., Bloemhof-Ruwaard, J.M., Dekker, R., van der Laan, E., van Nunen, J.A.E.E. and Van Wassenhove, L.N., (1997), “Quantitative models for reverse logistics: A review”, European Journal of Operational Research, 103, 1, 1-17
7. Fleischmann, M., Krikke, H.R., Dekker, R. and Flapper, S.P., (2000), “A characterisation of logistics networks for product recovery”, Omega. 28, 6, 653-666
8. Georgiadis, P. and Vlachos, D., (2004), “The effect of environmental parameters on product recovery”, European Journal of Operational Research, 157, 2, 449-464
9. Mitra, S. and Webster, S., (2008), “Competition in remanufacturing and the effects of government subsidies”, International Journal of Production Economics, 111, 2, 287-298
10.Pohlen, T.L. and Farris, M.T. II, (1992), “Reverse logistics in plastics recycling”, International journal of physical distribution & logistics management, 22, 7, 35-47
11. Savaskan, R.C., Bhattacharya, S. and Van Wassenhove, L.N., (2004), “Closed-loop supply chain models with product remanufacturing”, Management Science, 50, 2, 239-252
12. Savaskan, R.C. and Van Wassenhove, L.N., (2006), “Reverse channel design: the case of competing retailers”, Management Science, 52, 1, 1-14
13. Sarkis, J., (2003), “A strategic decision framework for green supply chain management”, Journal of Cleaner Production, 11, 4, 397-409
14. Sheu, J.B., Chou, Y.H. and Hu, C.C., (2005), “A integrated logistics operational model for green-supply chain management”, Transportation Research Part E, 41, 4, 287-313
15. Webster, S. and Mitra, S., (2007), “Competitive strategy in remanufacturing and the impact of take-back laws”, Journal of Operations Management, 25, 6, 1123-1140
16. Willis, P., (2010), “Policy Study: Market Failures in Remanufacturing”, Centre for Remanufacturing and Reuse
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/48024-
dc.description.abstract隨著綠色供應鏈受到越來越多的關注,政府也開始推行政策以促進綠色供應鏈的發展。然而,政府制定相關政策時,多針對回收商、再製商進行補貼或是課稅,往往忽略了購買再製品的消費者,也就是再製品的市場。因此,本研究欲探討綠色市場規模與消費者對再製品的評價考量之下,政府涉入綠色供應鏈的最適補貼政策。
本研究從政府的角度出發,目標為最大化社會福利,運用補貼工具,對廠商及消費者雙方進行補貼,達到推拉政策的效果:推式政策利用補貼金將廠商推向生產再製品的進行,拉式政策則透過再製品的現金回饋方式,吸引消費者購買再製品,透過推拉並行以促進再製品的發展。研究模型乃運用兩階段的賽局模型,在雙頭寡佔、價格競爭的情境下,考慮政府與製造商、再製商決策互動的情形,根據賽局理論及逆向回歸法找出政府之最適補貼政策,以供政府立法之參考。除了製造端的考量,我們也關注到市場需求的議題,像是綠色市場規模的大小、消費者對再製品之評價,透過數值分析觀察這些因素對於最適補貼金、社會福利以及綠色供應鏈整體利潤產生的影響。
本研究分析結果顯示出較大的綠色市場規模將對政府補貼所提升的社會總福利產生加分的效果,因此,政府可從增加綠色消費者的數量著手,以期達到更佳的補貼效果;另外,本研究也發現政府最適補貼政策將隨著消費者對再製品的評價有所變動,說明了政府決定補貼金時,將消費者納入考量的重要性;最後,本研究提出之雙方補貼方式,經由數值分析發現其確實能提升消費者剩餘,說明了該補貼方式能避免生產者將補貼金全面吸收。本研究根據分析結果提出相關的建議,期望有助於政府制定更完善之補貼政策,並進一步促進綠色供應鏈之發展。
zh_TW
dc.description.abstractAs Green Supply Chain (GSC) has been given great attention and concerns, governments also start to implement policies for encouraging GSC to develop. However, governments usually ignore those consumers who buy remanufactured products while instituting a policy to subsidize or levy a tax on recyclers/remanufacturers. In view of this, the study investigates an optimal subsidy policy with governmental involvement in GSC that takes the green market size and consumer valuations for remanufactured goods into consideration.
For the government, the goal is to maximize social welfare. The government use subsidy tools to subsidize both producers and consumers in order to achieve push pull effect, which pushes producers to do the remanufacturing because of subsidies and pulls consumers back to buy remanufactured goods owing to cash rebates; in this way, the promotion of GSC is reached. This research builds two-stage game model under Bertrand duopoly, considering interaction between government and GSC members, to find the optimal subsidy policy through game theory and backward induction for government's reference. In addition to producers, we are concerned with the demand issues such as green market and consumer valuation for remanufactured goods, thus investigating the effect of those factors on the optimal subsidy policy, social welfare, and total profits of GSC by numerical analysis.
The results show that the larger green market size is beneficial to the increase in social welfare, so government could obtain the better outcome of subsidizing from growing the number of green consumers; besides, this study finds that the optimal subsidy policy varies with consumer valuations, which reveals the importance of taking consumer valuations into account. In the end, the numerical analysis also shows that subsidizing both producers and consumers increases consumer surplus, which could avoid the whole amount of subsidy going to producers. It is expected that this study will help government implement better policies and further stimulate the development of GSC.
en
dc.description.provenanceMade available in DSpace on 2021-06-15T06:44:38Z (GMT). No. of bitstreams: 1
ntu-100-R98546010-1.pdf: 1096918 bytes, checksum: a542e313202eb3b48eed9a0287b39b5f (MD5)
Previous issue date: 2011
en
dc.description.tableofcontents第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
1.3 研究架構 3
1.4 論文架構 4
第二章 文獻回顧 6
2.1 綠色供應鏈之相關研究 6
2.2 政府涉入綠色供應鏈之相關研究 9
2.3 綠色產品與市場之相關研究 10
2.4 文獻整理與評析 11
第三章 模型建構與求解 14
3.1 政府涉入綠色供應鏈之運作流程 14
3.2 模型假設與分析架構 15
3.2.1 產業特質之假設 15
3.2.2 市場特性之假設 16
3.2.3 需求特性 16
3.2.4 廠商特性 16
3.2.5 政府政策之假設 17
3.2.6 分析架構 17
3.3 政府涉入綠色供應鏈之最適補貼政策模型 18
3.3.1 符號定義 18
3.3.2 需求模型 20
3.3.3 製造商與再製商之利潤函數 23
3.3.4 社會福利函數 24
3.4 政府補貼政策模型求解過程 27
3.4.1 求解流程 27
3.4.2 模型求解 27
第四章 敏感度分析 35
4.1 相關數值設定 35
4.2 數值分析 35
4.2.1 消費者評價的影響 35
4.2.2 綠色市場規模的影響 40
4.2.3 政府補貼比率之探討 43
4.3 小結 45
第五章 結論與建議 48
5.1 研究結論與建議 48
5.2 研究貢獻 49
5.3 研究限制 50
5.4 未來研究方向 50
第六章 參考文獻 52
dc.language.isozh-TW
dc.subject消費者評價zh_TW
dc.subject綠色供應鏈zh_TW
dc.subject補貼zh_TW
dc.subject賽局zh_TW
dc.subjectSubsidyen
dc.subjectConsumer Valuationen
dc.subjectGame Theoryen
dc.subjectGreen Supply Chainen
dc.title考慮綠色市場規模及消費者對再製品評價下政府最適補貼政策之研究zh_TW
dc.titleAn Optimal Subsidy Policy of Government by Considering Green Market Size and Consumer Valuations for Remanufactured Productsen
dc.typeThesis
dc.date.schoolyear99-2
dc.description.degree碩士
dc.contributor.coadvisor蔣明晃(Ming-Huang Chiang)
dc.contributor.oralexamcommittee吳政鴻(Cheng-Hung Wu),洪一薰(I-Hsuan Hong)
dc.subject.keyword綠色供應鏈,補貼,賽局,消費者評價,zh_TW
dc.subject.keywordGreen Supply Chain,Subsidy,Game Theory,Consumer Valuation,en
dc.relation.page53
dc.rights.note有償授權
dc.date.accepted2011-06-30
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept工業工程學研究所zh_TW
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