The Farmers' Channel Selection and Sustainable Analysis under Carbon Tax Policy

被引:2
|
作者
Zheng, Cong [1 ]
Pang, Quangui [2 ]
Li, Tianpei [3 ]
Wang, Guizheng [1 ]
Cai, Yiji [1 ]
Yang, Lei [1 ]
机构
[1] South China Univ Technol, Sch Econ & Commerce, Guangzhou 510006, Guangdong, Peoples R China
[2] South China Univ Technol, Sch Elect Power, Guangzhou 510006, Guangdong, Peoples R China
[3] South China Univ Technol, Sch Design, Guangzhou 510006, Guangdong, Peoples R China
关键词
agricultural product; channel selection; carbon tax; sustainability; SUPPLY-CHAIN; EMISSION REDUCTION; INVENTORY; FOOTPRINT; DECISIONS; DETERIORATION; STRATEGIES; PRODUCTS; MODELS; CHOICE;
D O I
10.3390/su11102765
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper examines a farmer's channel selection in a supply chain led by a retailer, considering carbon emissions and products' deterioration. Three channelsonline channels, retail channels, and dual channelsare proposed. The inventory model of perishable products and the two-stage Stackelberg game model are used to illustrate the operational process. To compare performances of the three channel structures, we further determine the critical points consisting of the profits and the carbon emissions among these channels. The results provide useful insights for supply chain members and the government. Farmers can choose a channel to optimize profit with respect to deterioration rate and product yield, but it might conflict with the aim of least carbon emissions. When the deterioration rate is high, the online channel is not a suitable choice. For the government, the carbon tax contributes to the reduction of carbon emissions, but it also leads to the loss of the farmer's profit. Additionally, numerical results further illustrate that, from the perspective of the government, transporting and inventory processes are two major sources of emissions, and it is essential to implement carbon tax and exploit low-carbon transportation.
引用
下载
收藏
页数:24
相关论文
共 50 条
  • [21] Complexity and Control of Multichannel Supply Chain Under Carbon Tax Policy
    Tian, Yi
    Ma, Junhai
    Wang, Zongxian
    Xie, Lei
    INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2021, 31 (06):
  • [22] Optimal tax policy under tax evasion
    George Economides
    Apostolis Philippopoulos
    Anastasios Rizos
    International Tax and Public Finance, 2020, 27 : 339 - 362
  • [23] Optimal tax policy under tax evasion
    Economides, George
    Philippopoulos, Apostolis
    Rizos, Anastasios
    INTERNATIONAL TAX AND PUBLIC FINANCE, 2020, 27 (02) : 339 - 362
  • [24] A reverse Logistics Inventory Model with Consideration of Carbon Tax Policy, Imperfect Production, and Partial Backlogging Under a Sustainable Supply Chain
    Handa, Nidhi
    Singh, S. R.
    Katariya, Chandni
    PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY, 2024, 8 (03) : 699 - 721
  • [25] The credit channel of capital tax policy
    Strulik, Holger
    JOURNAL OF PUBLIC ECONOMIC THEORY, 2008, 10 (05) : 717 - 742
  • [26] Sustainable biofuel consumption in air passenger transport driven by carbon-tax policy
    Hou, Shuhua
    Chen, Xin
    Qiu, Rui
    SUSTAINABLE PRODUCTION AND CONSUMPTION, 2022, 31 : 478 - 491
  • [27] An analysis of company choice preference to carbon tax policy in China
    Liu, Xianbing
    Wang, Can
    Niu, Dongjie
    Suk, Sunhee
    Bao, Cunkuan
    JOURNAL OF CLEANER PRODUCTION, 2015, 103 : 393 - 400
  • [28] Decisions and Coordination of Dual-Channel Supply Chain considering Retailers' Bidirectional Fairness Concerns under Carbon Tax Policy
    Zhu, Xiaodong
    Ding, Lian
    Guo, Yajie
    Zhu, Huiting
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [29] Carbon Tax or Low-Carbon Subsidy? Carbon Reduction Policy Options under CCUS Investment
    Zhang, Qian
    Wang, Yunjia
    Liu, Lu
    SUSTAINABILITY, 2023, 15 (06)
  • [30] Leasing or Selling? Durable Goods Manufacturer Marketing Model Selection under a Mixed Carbon Trading-and-Tax Policy Scenario
    Zhang, Yuxiang
    Tan, Deqing
    Liu, Zhi
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (02)