IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i22p15307-d976287.html
   My bibliography  Save this article

Green Supply Chain Operations Decision and Government Subsidy Strategies under R & D Failure Risk

Author

Listed:
  • Wenli Wang

    (School of Economics and Management, Taiyuan University of Science and Technology, Taiyuan 030024, China)

  • Ruizhen Zhang

    (School of Economics and Management, Taiyuan University of Science and Technology, Taiyuan 030024, China)

Abstract

The behavior of enterprises upgrading green technology presents a certain risk of failure. In this paper, the probability of R & D failure that is not considered in most articles is introduced into the model, and the supply chain composed of green product manufacturers and retailers is considered. The optimal operation decision of the green supply chain under the two modes of government subsidizing manufacturers’ R & D costs and subsidizing green product production costs is analyzed. Under the same subsidy expenditure, this study examines which subsidy method can maximize social welfare. The results show that, when the production cost of green products developed by manufacturers is high, if the government budget is low, the production cost of green products shall be subsidized; if the government budget is high, the manufacturer’s R & D cost should be judged. If the R & D cost is high, the production cost of green products should be subsidized to encourage retailers to order more green products. However, if the R & D cost is low, the R & D cost of green products should be subsidized to encourage manufacturers to invest the most in R & D. When the production cost of green products developed by manufacturers is low, the production cost of green products should be subsidized no matter the R & D cost of manufacturers. Additionally the conclusion has been verified by the actual case.

Suggested Citation

  • Wenli Wang & Ruizhen Zhang, 2022. "Green Supply Chain Operations Decision and Government Subsidy Strategies under R & D Failure Risk," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15307-:d:976287
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/22/15307/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/22/15307/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Barman, Abhijit & De, Pijus Kanti & Chakraborty, Ashis Kumar & Lim, Chee Peng & Das, Rubi, 2023. "Optimal pricing policy in a three-layer dual-channel supply chain under government subsidy in green manufacturing," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 204(C), pages 401-429.
    2. Raza, Syed Asif & Govindaluri, Srikrishna Madhumohan, 2019. "Pricing strategies in a dual-channel green supply chain with cannibalization and risk aversion," Operations Research Perspectives, Elsevier, vol. 6(C).
    3. Haoxuan Zheng & Xingwei Li & Xiaowen Zhu & Yicheng Huang & Zhili Liu & Yuxin Liu & Jiaxin Liu & Xiangye Li & Yuejia Li & Chunhui Li, 2022. "Impact of Recycler Information Sharing on Supply Chain Performance of Construction and Demolition Waste Resource Utilization," IJERPH, MDPI, vol. 19(7), pages 1-22, 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. Tim Eisert & Christian Eufinger, 2019. "Interbank Networks and Backdoor Bailouts: Benefiting from Other Banks’ Government Guarantees," Management Science, INFORMS, vol. 65(8), pages 3673-3693, August.
    6. Lai, Zhixuan & Lou, Gaoxiang & Ma, Haicheng & Chung, Sai-Ho & Wen, Xin & Fan, Tijun, 2022. "Optimal green supply chain financing strategy: Internal collaborative financing and external investments," International Journal of Production Economics, Elsevier, vol. 253(C).
    7. Zhang, Tianyu & Dong, Peiwu & Chen, Xiangfeng & Gong, Yu, 2023. "The impacts of blockchain adoption on a dual-channel supply chain with risk-averse members," Omega, Elsevier, vol. 114(C).
    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. 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.
    10. Wang, Zhongcheng & Li, Xinyue & Xue, Xinhong & Liu, Yahuan, 2022. "More government subsidies, more green innovation? The evidence from Chinese new energy vehicle enterprises," Renewable Energy, Elsevier, vol. 197(C), pages 11-21.
    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. Shuiwang Zhang & Qianlan Ding & Jingcheng Ding, 2023. "Return Strategy of E-Commerce Platform Based on Green and Sustainable Development," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    2. Jinxuan Song & Xu Yan, 2023. "Impact of Government Subsidies, Competition, and Blockchain on Green Supply Chain Decisions," Sustainability, MDPI, vol. 15(4), pages 1-27, February.
    3. Kai Cao & Yanlan Mei, 2022. "Green Supply Chain Decision and Management under Manufacturer’s Fairness Concern and Risk Aversion," Sustainability, MDPI, vol. 14(23), pages 1-22, November.

    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. Wang, Fan & Xu, Danni & Zhuo, Xiaopo & Zhang, Chao & Liu, Yaoqi, 2022. "Improving consumer welfare in vaccine market: Pricing, government subsidies and consumer awareness," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    2. Liang Shen & Runjie Fan & Yuyan Wang & Zhaoqing Yu & Rongyun Tang, 2020. "Impacts of Environmental Regulation on the Green Transformation and Upgrading of Manufacturing Enterprises," IJERPH, MDPI, vol. 17(20), pages 1-14, October.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. Sani Majumder & Izabela Nielsen & Susanta Maity & Subrata Saha, 2022. "Effect of Product Distribution Structures and Government Subsidy Measures on Product Quality and Consumption under Competition," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    9. Fatemeh Zand & Saeed Yaghoubi, 2022. "Effects of a dominant retailer on green supply chain activities with government cooperation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 1313-1334, January.
    10. Song, Yang & Sahut, Jean-Michel & Zhang, Zhiyuan & Tian, Yifan & Hikkerova, Lubica, 2022. "The effects of government subsidies on the sustainable innovation of university-industry collaboration," Technological Forecasting and Social Change, Elsevier, vol. 174(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. Jin, Wei & Yang, Jun & Wang, Chengfu, 2024. "Cost subsidy or environmental regulation? The effects of government interventions on environmental quality and 3BL performance," International Journal of Production Economics, Elsevier, vol. 270(C).
    13. 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.
    14. 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.
    15. Xuemeng Zhao & Weilun Huang, 2024. "Global Geopolitical Changes and New/Renewable Energy Game," Energies, MDPI, vol. 17(16), pages 1-27, August.
    16. Mukunda Choudhury & Sujit Kumar De & Gour Chandra Mahata, 2023. "A pollution-sensitive multistage production-inventory model for deteriorating items considering expiration date under Stackelberg game approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11847-11884, October.
    17. Babagolzadeh, Mahla & Zhang, Yahua & Abbasi, Babak & Shrestha, Anup & Zhang, Anming, 2022. "Promoting Australian regional airports with subsidy schemes: Optimised downstream logistics using vehicle routing problem," Transport Policy, Elsevier, vol. 128(C), pages 38-51.
    18. Li, Jiachen & Jiang, Meiru & Li, Ge, 2024. "Does the new energy vehicles subsidy policy decrease the carbon emissions of the urban transport industry? Evidence from Chinese cities in Yangtze River Delta," Energy, Elsevier, vol. 298(C).
    19. Amiri-Pebdani, Sima & Alinaghian, Mahdi & Khosroshahi, Hossein, 2023. "Pricing in competitive energy supply chains considering government interventions to support CCS under cap-and-trade regulations: A game-theoretic approach," Energy Policy, Elsevier, vol. 179(C).
    20. Yu, Yanan & He, Yong & Zhao, Xuan, 2021. "Impact of demand information sharing on organic farming adoption: An evolutionary game approach," Technological Forecasting and Social Change, Elsevier, vol. 172(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:jsusta:v:14:y:2022:i:22:p:15307-:d:976287. 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.