Emission abatement in low-carbon supply chains with government subsidy and information asymmetry
Longfei He,
Huanhuan Wang and
Fangtong Liu
International Journal of Production Research, 2024, vol. 62, issue 18, 6598-6626
Abstract:
Governmental subsidy policy and channel information structure have substantial effects on supply chain emission reduction, operations and marketing decisions. In this paper, we use game theory to study the interplay of government subsidizing arrangement and information asymmetry on manufacturers' emission reduction and retailers' low-carbon promotion. Suppose realistically that the investment coefficients for manufacturers' emission reduction levels and retailer' low-carbon promotion levels are their respective private information. Among diverse governmental subsidy schemes, we find dual subsidizing are the best choice for the defined level of total subsidy under information asymmetry, while it is not always the best choice if the total subsidy level is uncertain. Under information asymmetry, the results show that manufacturer have no incentive to lie under any subsidy policy. However, the retailer has incentive to misrepresent individual information and its misreporting behaviour is related to the coefficient and allocation ratio of governmental subsidies. On this basis, we illustrate that a screening model can be deployed to reduce the negative effects of information asymmetry on supply chain operations. We therefore propose the method of improving the performance of low-carbon supply chains under various situations of information asymmetry and governmental subsidizing schemes to achieve system-wide Pareto improvement.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2024.2305807 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:62:y:2024:i:18:p:6598-6626
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20
DOI: 10.1080/00207543.2024.2305807
Access Statistics for this article
International Journal of Production Research is currently edited by Professor A. Dolgui
More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().