Journal article
Supply chain management under carbon taxes: A review and bibliometric analysis
Omega (Oxford), v 98, p102295
01 Jan 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Supply chain has received a great deal of attention both in academia and industry. The carbon emissions from supply chain activities are the major concern, therefore, many governments have implemented carbon taxes to promote energy conservation and emission reduction. Under this background, the impact of the carbon taxes on supply chain and the related operational decisions become hot topics. This paper aimed to review the researches on supply chain management under carbon tax. First, the descriptive results and a bibliometric analysis of identified articles during 2010-2019 was presented to clarify the development in this field. Then, content analysis is conducted to classify the selected articles into facility location decisions, supplier selection and order quantity, low carbon technology choice and investment, production planning, transportation decisions, pricing decisions, joint decisions and supply chain coordination under carbon taxes. The research progress in these areas was systematically reviewed and summarized. Finally, future directions were discussed from the perspectives of problem and method. (C) 2020 Elsevier Ltd. All rights reserved.
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Details
- Title
- Supply chain management under carbon taxes: A review and bibliometric analysis
- Creators
- Xiaoyang Zhou - Academy of Mathematics and Systems ScienceXiaoya Wei - Shaanxi Normal UniversityJun Lin - Xi'an Jiaotong UniversityXin Tian - University of Chinese Academy of SciencesBenjamin Lev - Drexel UniversityShouyang Wang - University of Chinese Academy of Sciences
- Publication Details
- Omega (Oxford), v 98, p102295
- Publisher
- Elsevier
- Number of pages
- 16
- Grant note
- 2019KJXX-031 / Innovative Talents Promotion Plan-Youth Science and Technology Star Project of Shaanxi Province 71871175 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC) 2018M640188 / China Postdoctoral Science Foundation Funded Project; China Postdoctoral Science Foundation
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000579756100022
- Scopus ID
- 2-s2.0-85087015429
- Other Identifier
- 991019168438004721
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Management
- Operations Research & Management Science