IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i15p1717-d598718.html
   My bibliography  Save this article

Carbon Trading Mechanism, Low-Carbon E-Commerce Supply Chain and Sustainable Development

Author

Listed:
  • Liang Shen

    (School of Public Finance and Taxation, Shandong University of Finance and Economics, Jinan 250014, China)

  • Xiaodi Wang

    (School of Public Finance and Taxation, Shandong University of Finance and Economics, Jinan 250014, China)

  • Qinqin Liu

    (Physical Education College, Shandong University of Finance and Economics, Jinan 250014, China)

  • Yuyan Wang

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China)

  • Lingxue Lv

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China)

  • Rongyun Tang

    (Department of Industrial and System Engineering, University of Tennessee, Knoxville, TN 37996, USA)

Abstract

Considering the carbon trading mechanism and consumers’ preference for low-carbon products, a game decision-making model for the low-carbon e-commerce supply chain (LCE-SC) is constructed. The influences of commission and carbon trading on the optimal decisions of LCE-SC are discussed and then verified through numerical analysis. On this basis, the influence of carbon trading on regional sustainable development is empirically analyzed. The results show that the establishment of carbon trading pilots alleviates the negative impact of unfair profit distribution. Increasing the commission rate in a reasonable range improves the profitability of LCE-SC. Nevertheless, with the enhancement of consumers’ low-carbon preference, a lower commission rate is more beneficial to carbon emission reduction. The total carbon emission is positively related to the commission rate. However, the unit carbon emission decreases first and then increases with the commission rate. The influence of the carbon price sensitivity coefficient on the service level is first positive and then negative, while the influence on the manufacturer’s profit goes the opposite. The empirical analysis confirms that the implementation of carbon trading is conducive to regional sustainable development and controlling environmental governance intensity promotes carbon productivity.

Suggested Citation

  • Liang Shen & Xiaodi Wang & Qinqin Liu & Yuyan Wang & Lingxue Lv & Rongyun Tang, 2021. "Carbon Trading Mechanism, Low-Carbon E-Commerce Supply Chain and Sustainable Development," Mathematics, MDPI, vol. 9(15), pages 1-26, July.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:15:p:1717-:d:598718
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/15/1717/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/15/1717/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wen Jiang & Li Yuan & Lanjun Wu & Shiyue Guo, 2019. "Carbon emission reduction and profit distribution mechanism of construction supply chain with fairness concern and cap-and-trade," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-23, October.
    2. Stephen Smith & Joseph Swierzbinski, 2007. "Assessing the performance of the UK Emissions Trading Scheme," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 131-158, May.
    3. Wang, Min & Zhao, Lindu & Herty, Michael, 2019. "Joint replenishment and carbon trading in fresh food supply chains," European Journal of Operational Research, Elsevier, vol. 277(2), pages 561-573.
    4. Jia, Shanming & Zhou, Chunyu & Qin, Chenglin, 2017. "No difference in effect of high-speed rail on regional economic growth based on match effect perspective?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 144-157.
    5. Shoufeng Ji & Qi Sun, 2017. "Low-Carbon Planning and Design in B&R Logistics Service: A Case Study of an E-Commerce Big Data Platform in China," Sustainability, MDPI, vol. 9(11), pages 1-27, November.
    6. Tengku Adeline Adura Tengku Hamzah & Zainorfarah Zainuddin & Mariney Mohd Yusoff & Saripah Osman & Alias Abdullah & Khairos Md Saini & Arno Sisun, 2019. "The Conundrum of Carbon Trading Projects towards Sustainable Development: A Review from the Palm Oil Industry in Malaysia," Energies, MDPI, vol. 12(18), pages 1-15, September.
    7. Zhu, Bangzhu & Zhang, Mengfan & Huang, Liqing & Wang, Ping & Su, Bin & Wei, Yi-Ming, 2020. "Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach," Energy Economics, Elsevier, vol. 85(C).
    8. Konstantaras, Ioannis & Skouri, Konstantina & Benkherouf, Lakdere, 2021. "Optimizing inventory decisions for a closed–loop supply chain model under a carbon tax regulatory mechanism," International Journal of Production Economics, Elsevier, vol. 239(C).
    9. Kong, Deyang & Xia, Quhong & Xue, Yixi & Zhao, Xin, 2020. "Effects of multi policies on electric vehicle diffusion under subsidy policy abolishment in China: A multi-actor perspective," Applied Energy, Elsevier, vol. 266(C).
    10. Qiang Han & Yuyan Wang, 2018. "Decision and Coordination in a Low-Carbon E-Supply Chain Considering the Manufacturer’s Carbon Emission Reduction Behavior," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    11. Xingang Zhao & Yuzhuo Zhang & Ji Liang & Yanbin Li & Rongda Jia & Ling Wang, 2018. "The Sustainable Development of the Economic-Energy-Environment (3E) System under the Carbon Trading (CT) Mechanism: A Chinese Case," Sustainability, MDPI, vol. 10(1), pages 1-21, January.
    12. Xu, Xiaoping & Zhang, Wei & He, Ping & Xu, Xiaoyan, 2017. "Production and pricing problems in make-to-order supply chain with cap-and-trade regulation," Omega, Elsevier, vol. 66(PB), pages 248-257.
    13. Chang, Xiangyun & Xia, Haiyang & Zhu, Huiyun & Fan, Tijun & Zhao, Hongqing, 2015. "Production decisions in a hybrid manufacturing–remanufacturing system with carbon cap and trade mechanism," International Journal of Production Economics, Elsevier, vol. 162(C), pages 160-173.
    14. Yan, Nina & Liu, Yang & Xu, Xun & He, Xiuli, 2020. "Strategic dual-channel pricing games with e-retailer finance," European Journal of Operational Research, Elsevier, vol. 283(1), pages 138-151.
    15. Xu, Xiaoping & He, Ping & Xu, Hao & Zhang, Quanpeng, 2017. "Supply chain coordination with green technology under cap-and-trade regulation," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 433-442.
    16. Chai, Qiangfei & Xiao, Zhongdong & Lai, Kee-hung & Zhou, Guanghui, 2018. "Can carbon cap and trade mechanism be beneficial for remanufacturing?," International Journal of Production Economics, Elsevier, vol. 203(C), pages 311-321.
    17. Zhang, Cheng & Wang, Qunwei & Shi, Dan & Li, Pengfei & Cai, Wanhuan, 2016. "Scenario-based potential effects of carbon trading in China: An integrated approach," Applied Energy, Elsevier, vol. 182(C), pages 177-190.
    18. Barbosa-Póvoa, Ana Paula & da Silva, Cátia & Carvalho, Ana, 2018. "Opportunities and challenges in sustainable supply chain: An operations research perspective," European Journal of Operational Research, Elsevier, vol. 268(2), pages 399-431.
    19. Yinliang (Ricky) Tan & Janice E. Carrillo, 2017. "Strategic Analysis of the Agency Model for Digital Goods," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 724-741, April.
    20. S. Du & F. Ma & Z. Fu & L. Zhu & J. Zhang, 2015. "Game-theoretic analysis for an emission-dependent supply chain in a ‘cap-and-trade’ system," Annals of Operations Research, Springer, vol. 228(1), pages 135-149, May.
    21. Wang, Peng & Dai, Han-cheng & Ren, Song-yan & Zhao, Dai-qing & Masui, Toshihiko, 2015. "Achieving Copenhagen target through carbon emission trading: Economic impacts assessment in Guangdong Province of China," Energy, Elsevier, vol. 79(C), pages 212-227.
    22. Zhou, Kaile & Li, Yiwen, 2019. "Influencing factors and fluctuation characteristics of China’s carbon emission trading price," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 459-474.
    23. Zhang, Weijie & Zhang, Ning & Yu, Yanni, 2019. "Carbon mitigation effects and potential cost savings from carbon emissions trading in China's regional industry," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 1-11.
    24. Shouyao Xiong & Yuanyuan Feng & Kai Huang, 2020. "Optimal MTS and MTO Hybrid Production System for a Single Product Under the Cap-And-Trade Environment," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    25. Haoran Zhang & Rongxia Zhang & Guomin Li & Wei Li & Yongrok Choi, 2019. "Sustainable Feasibility of Carbon Trading Policy on Heterogenetic Economic and Industrial Development," Sustainability, MDPI, vol. 11(23), pages 1-18, December.
    26. Wang, Han & Chen, Zhoupeng & Wu, Xingyi & Nie, Xin, 2019. "Can a carbon trading system promote the transformation of a low-carbon economy under the framework of the porter hypothesis? —Empirical analysis based on the PSM-DID method," Energy Policy, Elsevier, vol. 129(C), pages 930-938.
    27. Xu, Shi-Chun & He, Zheng-Xia & Long, Ru-Yin, 2014. "Factors that influence carbon emissions due to energy consumption in China: Decomposition analysis using LMDI," Applied Energy, Elsevier, vol. 127(C), pages 182-193.
    28. Zhang, Jianqiang & Cao, Qingning & He, Xiuli, 2019. "Contract and product quality in platform selling," European Journal of Operational Research, Elsevier, vol. 272(3), pages 928-944.
    29. Nair, Anand & Narasimhan, Ram, 2006. "Dynamics of competing with quality- and advertising-based goodwill," European Journal of Operational Research, Elsevier, vol. 175(1), pages 462-474, November.
    30. Dumrongsiri, Aussadavut & Fan, Ming & Jain, Apurva & Moinzadeh, Kamran, 2008. "A supply chain model with direct and retail channels," European Journal of Operational Research, Elsevier, vol. 187(3), pages 691-718, June.
    31. Jia Wang & Xijia Huang, 2018. "The Optimal Carbon Reduction and Return Strategies under Carbon Tax Policy," Sustainability, MDPI, vol. 10(7), pages 1-14, July.
    32. Ciwei Dong & Bin Shen & Pui-Sze Chow & Liu Yang & Chi To Ng, 2016. "Sustainability investment under cap-and-trade regulation," Annals of Operations Research, Springer, vol. 240(2), pages 509-531, May.
    33. Hu, Yucai & Ren, Shenggang & Wang, Yangjie & Chen, Xiaohong, 2020. "Can carbon emission trading scheme achieve energy conservation and emission reduction? Evidence from the industrial sector in China," Energy Economics, Elsevier, vol. 85(C).
    34. Zhang, Kun & Yao, Yun-Fei & Liang, Qiao-Mei & Saren, Gaowa, 2021. "How should China prioritize the deregulation of electricity prices in the context of carbon pricing? A computable general equilibrium analysis," Energy Economics, Elsevier, vol. 96(C).
    35. Ma, Xueli & Wang, Jian & Bai, Qingguo & Wang, Shuyun, 2020. "Optimization of a three-echelon cold chain considering freshness-keeping efforts under cap-and-trade regulation in Industry 4.0," International Journal of Production Economics, Elsevier, vol. 220(C).
    36. Adida, Elodie & Ratisoontorn, Nantaporn, 2011. "Consignment contracts with retail competition," European Journal of Operational Research, Elsevier, vol. 215(1), pages 136-148, November.
    37. Nicholas Stern, 2008. "The Economics of Climate Change," American Economic Review, American Economic Association, vol. 98(2), pages 1-37, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shaolong Zeng & Qinyi Fu & Fazli Haleem & Yang Shen & Weibin Peng & Man Ji & Yilong Gong & Yilong Xu, 2024. "China’s carbon trading pilot policy, economic stability, and high-quality economic development," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Lei & Hu, Yijuan & Huang, Lijuan, 2020. "Collecting mode selection in a remanufacturing supply chain under cap-and-trade regulation," European Journal of Operational Research, Elsevier, vol. 287(2), pages 480-496.
    2. Xu, Song & Govindan, Kannan & Wang, Wanru & Yang, Wenting, 2024. "Supply chain management under cap-and-trade regulation: A literature review and research opportunities," International Journal of Production Economics, Elsevier, vol. 271(C).
    3. Yugang Yu & Xue Li & Xiaoping Xu, 2022. "Reselling or marketplace mode for an online platform: the choice between cap-and-trade and carbon tax regulation," Annals of Operations Research, Springer, vol. 310(1), pages 293-329, March.
    4. Xu, Xiaoping & Zhang, Mengying & Chen, Lai & Yu, Yugang, 2022. "The region-cap allocation and delivery time decision in the marketplace mode under the cap-and-trade regulation," International Journal of Production Economics, Elsevier, vol. 247(C).
    5. Gu, Guangtong & Zheng, Haorong & Tong, Lingyun & Dai, Yaxian, 2022. "Does carbon financial market as an environmental regulation policy tool promote regional energy conservation and emission reduction? Empirical evidence from China," Energy Policy, Elsevier, vol. 163(C).
    6. Wu, Rongxin & Tan, Zhizhou & Lin, Boqiang, 2023. "Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry," Energy, Elsevier, vol. 277(C).
    7. Sina Abbasi & Babek Erdebilli, 2023. "Green Closed-Loop Supply Chain Networks’ Response to Various Carbon Policies during COVID-19," Sustainability, MDPI, vol. 15(4), pages 1-30, February.
    8. Zhitao Xu & Adel Elomri & Shaligram Pokharel & Fatih Mutlu, 2019. "The Design of Green Supply Chains under Carbon Policies: A Literature Review of Quantitative Models," Sustainability, MDPI, vol. 11(11), pages 1-20, May.
    9. Bai, Qingguo & Chen, Jiguang & Xu, Jianteng, 2023. "Energy conservation investment and supply chain structure under cap-and-trade regulation for a green product," Omega, Elsevier, vol. 119(C).
    10. Shaofu Du & Jun Qian & Tianzhuo Liu & Li Hu, 2020. "Emission allowance allocation mechanism design: a low-carbon operations perspective," Annals of Operations Research, Springer, vol. 291(1), pages 247-280, August.
    11. Yang, Huixiao & Luo, Jianwen & Wang, Haijun, 2017. "The role of revenue sharing and first-mover advantage in emission abatement with carbon tax and consumer environmental awareness," International Journal of Production Economics, Elsevier, vol. 193(C), pages 691-702.
    12. Yanhong Yuan & Yaru Zhang & Lei Wang & Li Wang, 2022. "Coping Decisions of Production Enterprises under Low-Carbon Economy," Sustainability, MDPI, vol. 14(15), pages 1-21, August.
    13. Yuyu Chen & Bangyi Li & Qingguo Bai & Zhi Liu, 2018. "Decision-Making and Environmental Implications under Cap-and-Trade and Take-Back Regulations," IJERPH, MDPI, vol. 15(4), pages 1-25, April.
    14. Haoran Zhang & Rongxia Zhang & Guomin Li & Wei Li & Yongrok Choi, 2020. "Has China’s Emission Trading System Achieved the Development of a Low-Carbon Economy in High-Emission Industrial Subsectors?," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    15. Chu, Baoju & Dong, Yizhe & Liu, Yaorong & Ma, Diandian & Wang, Tianju, 2024. "Does China's emission trading scheme affect corporate financial performance: Evidence from a quasi-natural experiment," Economic Modelling, Elsevier, vol. 132(C).
    16. Xu, Xiaoping & He, Ping & Zhou, Li & Cheng, T.C.E., 2023. "Coordination of a platform-based supply chain in the marketplace or reselling mode considering cross-channel effect and blockchain technology," European Journal of Operational Research, Elsevier, vol. 309(1), pages 170-187.
    17. Dan Wu & Yuxiang Yang, 2020. "The Low-Carbon Supply Chain Coordination Problem with Consumers’ Low-Carbon Preference," Sustainability, MDPI, vol. 12(9), pages 1-15, April.
    18. Shuyi Wang & Zhenhua Wu & Baochen Yang, 2018. "Decision and Performance Analysis of a Price-Setting Manufacturer with Options under a Flexible-Cap Emission Trading Scheme (ETS)," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    19. Matsui, Kenji, 2024. "Should competing suppliers with dual-channel supply chains adopt agency selling in an e-commerce platform?," European Journal of Operational Research, Elsevier, vol. 312(2), pages 587-604.
    20. Zhang, Xuefeng & Li, Zhe & Li, Guo, 2024. "Grandfather-based or benchmark-based: Strategy choice for carbon quota allocation methods in the carbon neutrality era," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:15:p:1717-:d:598718. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.