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Advance selling of uncertain demand in low-carbon supply chain

Haicheng Jia (College of Business, Shanghai University of Finance and Economics, Shanghai, China) (Business School, Suzhou University of Science and Technology, Suzhou, China)
Jing Li (School of Economics and Management, Shanghai University of Political Science and Law, Shanghai, China)
Ling Liang (School of Management, Shanghai University of International Business and Economics, Shanghai, China)
Weicai Peng (School of Mathematics and Statistics, Chaohu University, Hefei, China)
Jiqing Xie (College of Business, Shanghai University of Finance and Economics, Shanghai, China)
Jiaping Xie (College of Business, Shanghai University of Finance and Economics, Shanghai, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 17 October 2022

Issue publication date: 16 November 2022

282

Abstract

Purpose

The development of low-carbon production is impeded by the investment costs of green technology research and development (R&D) and carbon emission reduction while facing the uncertain risk of emission reduction investment. With the government's carbon emission constraints, green manufacturers implement the advance selling strategy to increase both profit and reduction level. However, few studies consider the consumer's green preference and emission constraints in advance selling market and spot market independently. The authors' paper investigates the optimal strategies of advance selling pricing and reduction effort for green manufacturers to maximize profits.

Design/methodology/approach

The authors' paper designs a stochastic model and investigates the manufacturer's optimal strategies of advance selling price and emission reduction efforts by categorizing different purchasing periods of low-carbon consumers. With the challenges of uncertain demand and government's emission constraints, the authors' develop the non-linear optimization model to investigate the manufacturer's profit-oriented decisions.

Findings

The results show the government's carbon constraints cannot influence the manufacturer's profit, but the consumer's low-carbon preference in the advance selling period can. Interestingly, the manufacturer will make fewer reduction efforts even when the consumers have stronger environmental awareness. In addition, the increasing consumer price sensitivity will exacerbate the profit loss from mandatory emissions reduction. Overall, for achieving a win–win situation between emission reduction and profit growth, green manufacturers should not only consider the sales strategies, market demand, and government constraints in a low-carbon market, but also pay attention to the uncertainty of green technology innovation.

Originality/value

With the consideration of the government's carbon emission constraints, uncertain demand, and low-carbon consumer's preferences, the authors' study innovatively incorporates the joint impacts of advance selling strategy and emission reduction effort strategy and then differentiates between two cases that pertain to the diverse carbon emission regulations.

Keywords

Acknowledgements

This paper is supported by the Key Program of National Social Science Foundation of China (Grant No. 20AJY008); the Young Program of National Social Science Foundation of China (Grant No. 22CGL020); the Major Program of National Natural Science Foundation of China (72192830/72192834), and the Anhui Province Social Science Innovation Development Research Project (No. 2021CX077). The authors contributed equally to the paper and author names are in alphabetical order. The authors would also like to express appreciation to the anonymous reviewers and editors for their very helpful comments that improved the paper.

Citation

Jia, H., Li, J., Liang, L., Peng, W., Xie, J. and Xie, J. (2022), "Advance selling of uncertain demand in low-carbon supply chain", Industrial Management & Data Systems, Vol. 122 No. 12, pp. 2680-2709. https://doi.org/10.1108/IMDS-04-2022-0239

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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