Pricing Decision of Dual-Channel Supply Chain Based on Carbon Emission Reduction Input Under Carbon Tax Policy

Hong Huo, Dan Luo, Zhanghua Yan

2022

Abstract

This paper constructs the consumer demand function based on the low carbon preference of consumers. Considering the manufacturer's carbon emission reduction investment, the pricing models of decentralized supply chain and centralized supply chain based on consumer preference are constructed. This paper also explores the effect of consumer low carbon sensitivity coefficient on wholesale prices, retail prices, demand and profits of members. The results show that the profits and carbon emission reduction level of supply chain members under centralized decision-making are greater than those of decentralized decision-making; supply chain members' profits are positively correlated with consumer carbon emission reduction sensitivity coefficient.

Paper Citation

in Harvard Style

Huo H., Luo D. and Yan Z. (2022). Pricing Decision of Dual-Channel Supply Chain Based on Carbon Emission Reduction Input Under Carbon Tax Policy. In Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME; ISBN 978-989-758-636-1, SciTePress, pages 127-133. DOI: 10.5220/0012026800003620

in Bibtex Style

@conference{icemme22,
author={Hong Huo and Dan Luo and Zhanghua Yan},
title={Pricing Decision of Dual-Channel Supply Chain Based on Carbon Emission Reduction Input Under Carbon Tax Policy},
booktitle={Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME},
year={2022},
pages={127-133},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012026800003620},
isbn={978-989-758-636-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME
TI - Pricing Decision of Dual-Channel Supply Chain Based on Carbon Emission Reduction Input Under Carbon Tax Policy
SN - 978-989-758-636-1
AU - Huo H.
AU - Luo D.
AU - Yan Z.
PY - 2022
SP - 127
EP - 133
DO - 10.5220/0012026800003620
PB - SciTePress