globalchange  > 过去全球变化的重建
DOI: 10.1080/01605682.2019.1609889
WOS记录号: WOS:000469647300001
论文题名:
Investing in carbon emissions reduction in the EOQ model
作者: Lee, Jun-Yeon
通讯作者: Lee, Jun-Yeon
刊名: JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
ISSN: 0160-5682
EISSN: 1476-9360
出版年: 2019
语种: 英语
英文关键词: Investment in carbon emissions reduction ; EOQ model ; cap-and-price policy
WOS关键词: CAP-AND-TRADE ; QUANTITY MODELS ; TRANSPORTATION ; DECISIONS
WOS学科分类: Management ; Operations Research & Management Science
WOS研究方向: Business & Economics ; Operations Research & Management Science
英文摘要:

Investment in carbon emissions reduction is an important decision for many firms due to climate change and growing pressures from various stakeholders. In this paper, we examine the problem of jointly determining optimal order quantity and investment in carbon emissions reduction in the EOQ model with a cap-and-price regulation policy, in which the firm is penalised (rewarded) if its carbon footprint is larger (smaller) than a threshold. Cap-and-trade, carbon tax, cap-and-offset, and carbon cap can be viewed as special cases of the cap-and-price policy. The investment reduces the carbons emitted per replenishment and per unit produced. We characterise the optimal solutions and compare different regulations in terms of the firm's annual total cost and carbon footprint.


Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/138558
Appears in Collections:过去全球变化的重建

Files in This Item:

There are no files associated with this item.


作者单位: Calif State Univ Northridge, David Nazarian Coll Business & Econ, Dept Syst & Operat Management, 18111 Nordhoff St, Northridge, CA 91330 USA

Recommended Citation:
Lee, Jun-Yeon. Investing in carbon emissions reduction in the EOQ model[J]. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY,2019-01-01
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Lee, Jun-Yeon]'s Articles
百度学术
Similar articles in Baidu Scholar
[Lee, Jun-Yeon]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Lee, Jun-Yeon]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.