Optimal green product segmentation and differential pricing in a platform supply chain

IF 1.2 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY
Zongyu Mu, Wenjing Shen, Qiujie Li, Yanfei Xia, Hao Sun, Lei Cheng
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引用次数: 0

Abstract

Low-carbon development is a global trend and a requirement from governments and industries. Many companies produce green products based on brown products to implement green product segmentation strategies, and the platform economy can help them achieve green development. Considering a manufacturer who can choose a pure brown, green low-price segmentation or green high-price segmentation strategy, we construct three corresponding platform supply chain models. By comparing the optimal results of the three models, we observe how the manufacturer performs in terms of economic and ecological benefits, as well as social welfare. Our results show that the proportion of green consumers and the green preference of green consumers have a positive impact on the manufacturer's profit. The manufacturer can make the most profit when it produces both brown and green products and sets a higher price for the green products. The green product segmentation improves social welfare, and the manufacturer can achieve a win‒win situation in terms of economic and social benefits.
平台供应链中最优绿色产品细分与差异化定价
低碳发展是全球趋势,也是政府和行业的要求。很多企业在棕色产品的基础上生产绿色产品,实施绿色产品细分战略,平台经济可以帮助企业实现绿色发展。考虑到制造商可以选择纯棕色、绿色低价细分或绿色高价细分策略,我们构建了三种相应的平台供应链模型。通过比较三种模型的最优结果,我们观察了制造商在经济效益、生态效益和社会福利方面的表现。我们的研究结果表明,绿色消费者的比例和绿色消费者的绿色偏好对制造商的利润有正向影响。当制造商同时生产棕色产品和绿色产品,并为绿色产品设定更高的价格时,制造商可以获得最大的利润。绿色产品细分提高了社会福利,生产企业可以实现经济效益和社会效益的双赢。
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来源期刊
CiteScore
2.50
自引率
15.40%
发文量
207
审稿时长
18 months
期刊介绍: JIMO is an international journal devoted to publishing peer-reviewed, high quality, original papers on the non-trivial interplay between numerical optimization methods and practically significant problems in industry or management so as to achieve superior design, planning and/or operation. Its objective is to promote collaboration between optimization specialists, industrial practitioners and management scientists so that important practical industrial and management problems can be addressed by the use of appropriate, recent advanced optimization techniques.
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