Low-carbon tourism supply chain network optimisation with vertical and horizontal cooperations

被引:22
作者
Ma, Shigui [1 ]
He, Yong [1 ]
Gu, Ran [2 ]
机构
[1] Southeast Univ, Sch Econ & Management, Nanjing 210096, Peoples R China
[2] Nankai Univ, Sch Stat & Data Sci, Tianjin, Peoples R China
基金
中国国家自然科学基金;
关键词
Low-carbon; tourism supply chain; network optimisation; emission reduction; pricing; EMISSION REDUCTION DECISIONS; CHANNEL COORDINATION; PRICING STRATEGIES; DUAL-CHANNEL; COMPETITION; INVESTMENT; QUANTITY; MANAGEMENT; EFFICIENCY; DYNAMICS;
D O I
10.1080/00207543.2022.2063087
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We consider a low-carbon tourism supply chain (LTSC) network composed of two low-carbon scenic spots (LSSs) and two travel agencies (TAs). The LSSs as leaders and the TAs as followers play Stackelberg games in the vertical direction. Meanwhile, the competing LSSs play Nash game to determine emission reduction efforts and ticket prices, and the competing TAs play Nash game to conduct retail prices. We establish four kinds of differential game models with different LTSC network structures, derive the equilibrium decision-makings of the LSSs and TAs, and explore the influences of competition or cooperation at vertical and horizontal level of the LTSC network members on the equilibrium solutions of the LSSs and TAs, low-carbon level of tourism products and performance of the LTSC network. Then, we find that the low-carbon preference of tourists improves the low-carbon level of tourism products, while the competition intensity between the LSSs leads to the decrease of the low-carbon level of tourism products. In addition, the results indicate that horizontal or vertical cooperations among the LTSC network members are not always conducive to the performance of the whole LTSC network. Only when the sensitivity of tourist demand to retail price meets certain conditions, these cooperations can develop tourism products with higher low-carbon level and bring higher revenues.
引用
收藏
页码:6251 / 6270
页数:20
相关论文
共 50 条
[21]   Low-Carbon Supply Chain Coordination Based on Carbon Tax and Government Subsidy Policy [J].
Ran, Wenxue ;
Xu, Teng .
SUSTAINABILITY, 2023, 15 (02)
[22]   Sustainable Decision-Making in a Low-Carbon Supply Chain: Fairness Preferences and Green Investment [J].
Zhong, Haiyan ;
Huo, Hong ;
Zhang, Xiaoli ;
Zheng, Shenghua .
IEEE ACCESS, 2022, 10 :48761-48777
[23]   Complex Dynamics of a Low-Carbon Supply Chain with Government Green Subsidies and Carbon Cap-and-Trade Policies [J].
Zhang, Yuhao ;
Zhang, Tao .
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2022, 32 (06)
[24]   Optimal channel choices and online refund policies in a low-carbon tourism supply chain considering carbon reduction level [J].
Xu, Yuqiu ;
Cao, Qianqian ;
Cao, Kaiying ;
Wang, Jia .
INFOR, 2023, 61 (01) :34-66
[25]   Game analysis for the impact of carbon trading on low-carbon supply chain [J].
Xia, Xiqiang ;
Li, Chengyu ;
Zhu, Qinghua .
JOURNAL OF CLEANER PRODUCTION, 2020, 276
[26]   Emission Reduction of Low-Carbon Supply Chain Based on Uncertain Differential Game [J].
Yang, Xiangfeng ;
Zhang, Peng .
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 2023, 199 (02) :732-765
[27]   The impact of network externalities and altruistic preferences on carbon emission reduction of low carbon supply chain [J].
Wang, Hua ;
He, Yimeng ;
Ding, Qiyan .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (44) :66259-66276
[28]   Altruistic Preference Models of Low-Carbon E-Commerce Supply Chain [J].
Liu, Jianfeng ;
Zhou, Liguo ;
Wang, Yuyan .
MATHEMATICS, 2021, 9 (14)
[29]   Cost-sharing contract design in a low-carbon service supply chain [J].
He, Peng ;
He, Yong ;
Shi, Chunming ;
Xu, Henry ;
Zhou, Li .
COMPUTERS & INDUSTRIAL ENGINEERING, 2020, 139
[30]   Signaling strategies in a low-carbon supply chain with platform encroachment [J].
Li, Yongjian ;
Yao, Song ;
Wang, Jun .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2023, 179