Optimal carbon tax design for achieving low carbon supply chains

Xu Chen, Huan Yang, Xiaojun Wang, Tsan Ming Choi

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

This research addresses the timely challenge of climate changes by investigating how a carbon emissions taxation scheme can be designed to reduce carbon emissions without hindering long-term economic development. Considering different power structures and green technology investment efficiencies, this research examines the optimal carbon tax design with respect to several key supply chain features. Our findings show that no matter whether customers are sensitive to the carbon emissions or not, the carbon tax should be differentiated across industry sectors, and the supply chain power structure and cost efficiencies in carbon emissions reduction should be taken into account. It is also crucial to have the proper channel leadership to achieve the sustainability objectives.

Original languageEnglish
JournalAnnals of Operations Research
DOIs
Publication statusAccepted/In press - 2020

Bibliographical note

Funding Information:
The first author is partially supported by National Natural Science Foundation of China (Nos. 71432003, 91646109), and Youth Team Program for Technology Innovation of Sichuan Province (No. 2016TD0013).

Publisher Copyright:
© 2020, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords

  • Carbon emissions tax
  • Green technology investment
  • Low carbon supply chain
  • Power structure

ASJC Scopus subject areas

  • General Decision Sciences
  • Management Science and Operations Research

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