IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i4p3056-d1063636.html
   My bibliography  Save this article

Green Agricultural Products Supply Chain Subsidy Scheme with Green Traceability and Data-Driven Marketing of the Platform

Author

Listed:
  • Xue Wang

    (School of Business, Qingdao University, Qingdao 266071, China)

  • Jiayuan Zhang

    (School of Business, Qingdao University, Qingdao 266071, China)

  • Deqing Ma

    (School of Business, Qingdao University, Qingdao 266071, China)

  • Hao Sun

    (School of Business, Qingdao University, Qingdao 266071, China)

Abstract

Government subsidies have played an important role in the development of green agriculture. In addition, the Internet platform is becoming a new channel to realize green traceability and promote the sale of agricultural products. In this context, we consider a two-level green agricultural products supply chain (GAPSC) consisting of one supplier and one Internet platform. The supplier makes green R&D investments to produce green agricultural products along with conventional agricultural products, and the platform implements green traceability and data-driven marketing. The differential game models are established under four government subsidy scenarios: no subsidy (NS), consumer subsidy (CS), supplier subsidy (SS), and supplier subsidy with green traceability cost-sharing (TSS). Then, the optimal feedback strategies under each subsidy scenario are derived using Bellman’s continuous dynamic programming theory. The comparative static analyses of key parameters are given, and the comparisons among different subsidy scenarios are conducted. Numerical examples are employed to obtain more management insights. The results show that the CS strategy is effective only if the competition intensity between two types of products is below a certain threshold. Compared to the NS scenario, the SS strategy can always improve the supplier’s green R&D level, the greenness level, market demand for green agricultural products, and the system’s utility. The TSS strategy can build on the SS strategy to further enhance the green traceability level of the platform and the greenness level and demand for green agricultural products due to the advantage of the cost-sharing mechanism. Accordingly, a win-win situation for both parties can be realized under the TSS strategy. However, the positive effect of the cost-sharing mechanism will be weakened as the supplier subsidy increases. Moreover, compared to three other scenarios, the increase in the environmental concern of the platform has a more significant negative impact on the TSS strategy.

Suggested Citation

  • Xue Wang & Jiayuan Zhang & Deqing Ma & Hao Sun, 2023. "Green Agricultural Products Supply Chain Subsidy Scheme with Green Traceability and Data-Driven Marketing of the Platform," IJERPH, MDPI, vol. 20(4), pages 1-29, February.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3056-:d:1063636
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/4/3056/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/4/3056/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ma, Wei-min & Zhao, Zhang & Ke, Hua, 2013. "Dual-channel closed-loop supply chain with government consumption-subsidy," European Journal of Operational Research, Elsevier, vol. 226(2), pages 221-227.
    2. Maxime C. Cohen, 2018. "Big Data and Service Operations," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1709-1723, September.
    3. Duygu Akkaya & Kostas Bimpikis & Hau Lee, 2021. "Government Interventions to Promote Agricultural Innovation," Manufacturing & Service Operations Management, INFORMS, vol. 23(2), pages 437-452, March.
    4. Jiayi Joey Yu & Christopher S. Tang & Zuo-Jun Max Shen, 2018. "Improving Consumer Welfare and Manufacturer Profit via Government Subsidy Programs: Subsidizing Consumers or Manufacturers?," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 752-766, October.
    5. Sun, Ya-Fang & Zhang, Yue-Jun & Su, Bin, 2022. "Impact of government subsidy on the optimal R&D and advertising investment in the cooperative supply chain of new energy vehicles," Energy Policy, Elsevier, vol. 164(C).
    6. Alysson Costa & Lana Santos & Douglas Alem & Ricardo Santos, 2014. "Sustainable vegetable crop supply problem with perishable stocks," Annals of Operations Research, Springer, vol. 219(1), pages 265-283, August.
    7. Sheu, Jiuh-Biing & Chen, Yenming J., 2012. "Impact of government financial intervention on competition among green supply chains," International Journal of Production Economics, Elsevier, vol. 138(1), pages 201-213.
    8. Chen, Jen-Yi & Dimitrov, Stanko & Pun, Hubert, 2019. "The impact of government subsidy on supply Chains’ sustainability innovation," Omega, Elsevier, vol. 86(C), pages 42-58.
    9. Bian, Junsong & Zhang, Guoqing & Zhou, Guanghui, 2020. "Manufacturer vs. Consumer Subsidy with Green Technology Investment and Environmental Concern," European Journal of Operational Research, Elsevier, vol. 287(3), pages 832-843.
    10. Liu, Weihua & Yan, Xiaoyu & Li, Xiang & Wei, Wanying, 2020. "The impacts of market size and data-driven marketing on the sales mode selection in an Internet platform based supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    11. Ozinci, Yaacov & Perlman, Yael & Westrich, Sara, 2017. "Competition between organic and conventional products with different utilities and shelf lives," International Journal of Production Economics, Elsevier, vol. 191(C), pages 74-84.
    12. Ke Li & Gengxin Dai & Yanfei Xia & Zongyu Mu & Guitao Zhang & Yangyan Shi, 2022. "Green Technology Investment with Data-Driven Marketing and Government Subsidy in a Platform Supply Chain," Sustainability, MDPI, vol. 14(7), pages 1-22, March.
    13. El Ouardighi, Fouad, 2014. "Supply quality management with optimal wholesale price and revenue sharing contracts: A two-stage game approach," International Journal of Production Economics, Elsevier, vol. 156(C), pages 260-268.
    14. Andiç, Esen & Yurt, Öznur & Baltacıoğlu, Tunçdan, 2012. "Green supply chains: Efforts and potential applications for the Turkish market," Resources, Conservation & Recycling, Elsevier, vol. 58(C), pages 50-68.
    15. Tsan‐Ming Choi & Stein W. Wallace & Yulan Wang, 2018. "Big Data Analytics in Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1868-1883, October.
    16. Yanfei Xia & Quan Guo & Hao Sun & Ke Li & Zongyu Mu, 2022. "Green R&D Financing Strategy in Platform Supply Chain with Data-Driven Marketing," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    17. Ahumada, Omar & Villalobos, J. Rene, 2009. "Application of planning models in the agri-food supply chain: A review," European Journal of Operational Research, Elsevier, vol. 196(1), pages 1-20, July.
    18. Tariq, Adeel & Badir, Yuosre F. & Tariq, Waqas & Bhutta, Umair Saeed, 2017. "Drivers and consequences of green product and process innovation: A systematic review, conceptual framework, and future outlook," Technology in Society, Elsevier, vol. 51(C), pages 8-23.
    19. Maxime C. Cohen & Ruben Lobel & Georgia Perakis, 2016. "The Impact of Demand Uncertainty on Consumer Subsidies for Green Technology Adoption," Management Science, INFORMS, vol. 62(5), pages 1235-1258, May.
    20. Ghosh, Debabrata & Shah, Janat, 2015. "Supply chain analysis under green sensitive consumer demand and cost sharing contract," International Journal of Production Economics, Elsevier, vol. 164(C), pages 319-329.
    21. Akber, Nusrat & Paltasingh, Kirtti Ranjan & Mishra, Ashok K., 2022. "How can public policy encourage private investments in Indian agriculture? Input subsidies vs. public investment," Food Policy, Elsevier, vol. 107(C).
    22. He, Peng & He, Yong & Xu, Henry, 2019. "Channel structure and pricing in a dual-channel closed-loop supply chain with government subsidy," International Journal of Production Economics, Elsevier, vol. 213(C), pages 108-123.
    23. Yu, Xiaohua & Gao, Zhifeng & Zeng, Yinchu, 2014. "Willingness to pay for the “Green Food” in China," Food Policy, Elsevier, vol. 45(C), pages 80-87.
    24. Liu, Molin & Dan, Bin & Zhang, Shuguang & Ma, Songxuan, 2021. "Information sharing in an E-tailing supply chain for fresh produce with freshness-keeping effort and value-added service," European Journal of Operational Research, Elsevier, vol. 290(2), pages 572-584.
    25. Jiangfeng Fu & Xiangfeng Chen & Qiying Hu, 2018. "Subsidizing strategies in a sustainable supply chain," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(2), pages 283-295, February.
    Full references (including those not matched with items on IDEAS)

    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. Ke Li & Gengxin Dai & Yanfei Xia & Zongyu Mu & Guitao Zhang & Yangyan Shi, 2022. "Green Technology Investment with Data-Driven Marketing and Government Subsidy in a Platform Supply Chain," Sustainability, MDPI, vol. 14(7), pages 1-22, March.
    2. Ma, Shigui & He, Yong & Gu, Ran & Li, Shanshan, 2021. "Sustainable supply chain management considering technology investments and government intervention," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    3. Haitao Chen & Zhaohui Dong & Gendao Li, 2020. "Government Reward-Penalty Mechanism in Dual-Channel Closed-Loop Supply Chain," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
    4. Cheng, Fei & Chen, Tong & Chen, Qiao, 2022. "Cost-reducing strategy or emission-reducing strategy? The choice of low-carbon decisions under price threshold subsidy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    5. Dingzhong Feng & Lei Ma & Yangke Ding & Guanghua Wu & Ye Zhang, 2019. "Decisions of the Dual-Channel Supply Chain under Double Policy Considering Remanufacturing," IJERPH, MDPI, vol. 16(3), pages 1-20, February.
    6. Chao Lu & Weilai Huang & Haifang Cheng, 2021. "Comparative Analysis of Government Subsidy Policies in a Dynamic Green Supply Chain Considering Consumers Preference," Sustainability, MDPI, vol. 13(21), pages 1-26, October.
    7. Zheng, Shiyuan & Jiang, Changmin & Fu, Xiaowen & Ge, Ying-En & Shu, Jia, 2022. "Subsidies for green technology adoption under uncertain demand and incomplete information," Omega, Elsevier, vol. 112(C).
    8. Xiaolong Guo & Lihong Cheng & Yugang Yu, 2022. "Government subsidy policy for green and efficient raw materials considering farmer heterogeneity," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 4095-4112, November.
    9. Li Liu & Zhe Wang & Jiangtao Xu & Zaisheng Zhang, 2023. "Green baton: how government interventions advance green technological innovation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11121-11152, October.
    10. Chen, Rui & Meng, Qiang & Yu, Jiayi Joey, 2023. "Optimal government incentives to improve the new technology adoption: Subsidizing infrastructure investment or usage?," Omega, Elsevier, vol. 114(C).
    11. Zongyu Mu & Qiujie Li & Gengxin Dai & Ke Li & Guangming Zhang & Fan Zhang, 2022. "Government Subsidy Policy and Online Selling Strategy in a Platform Supply Chain with Green R&D and DDM Activities," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    12. Yang, Rui & Tang, Wansheng & Zhang, Jianxiong, 2021. "Technology improvement strategy for green products under competition: The role of government subsidy," European Journal of Operational Research, Elsevier, vol. 289(2), pages 553-568.
    13. Suyuan Luo & Tsan‐Ming Choi, 2022. "E‐commerce supply chains with considerations of cyber‐security: Should governments play a role?," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 2107-2126, May.
    14. Fan, Zhi-Ping & Cao, Yue & Huang, Chun-Yong & Li, Yongli, 2020. "Pricing strategies of domestic and imported electric vehicle manufacturers and the design of government subsidy and tariff policies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    15. Gan Wan & Gang Kou & Tie Li & Feng Xiao & Yang Chen, 2020. "Pricing Policies in a Retailer Stackelberg O2O Green Supply Chain," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    16. Rezayat, Mohammad Reza & Yaghoubi, Saeed & Fander, Atieh, 2021. "The impact of government intervention in competitive electronic closed-loop supply chain to support internal industry," Resources Policy, Elsevier, vol. 74(C).
    17. Sungki Kim & Nina Shin & Sangwook Park, 2020. "Closed-Loop Supply Chain Coordination under a Reward–Penalty and a Manufacturer’s Subsidy Policy," Sustainability, MDPI, vol. 12(22), pages 1-28, November.
    18. Pietro De Giovanni & Vinay Ramani, 2023. "A Selected Survey of Game Theory Models with Government Schemes to Support Circular Economy Systems," Sustainability, MDPI, vol. 16(1), pages 1-29, December.
    19. Kelei Xue & Guohua Sun & Yuyan Wang & Shuiye Niu, 2021. "Optimal Pricing and Green Product Design Strategies in a Sustainable Supply Chain Considering Government Subsidy and Different Channel Power Structures," Sustainability, MDPI, vol. 13(22), pages 1-26, November.
    20. Junjian Wu & Jennifer Shang, 2021. "Optimal Green Operation and Information Leakage Decisions under Government Subsidy and Supply Uncertainty," Sustainability, MDPI, vol. 13(24), pages 1-19, December.

    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:jijerp:v:20:y:2023:i:4:p:3056-:d:1063636. 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.