IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v101y2021ics0140988321003194.html
   My bibliography  Save this article

Effects of government subsidies on green technology investment and green marketing coordination of supply chain under the cap-and-trade mechanism

Author

Listed:
  • Li, Zhimin
  • Pan, Yanchun
  • Yang, Wen
  • Ma, Jianhua
  • Zhou, Ming

Abstract

In order to promote green technology investment and emission reduction, the government usually provides subsidies to enterprises under the cap-and-trade (C&T) mechanism. Two types of subsidy policies are widely used: one is based on fixed green technology investment cost (FC subsidy) and the other is based on the amount of emission reduction (ER subsidy). This paper investigates the effects of these two government subsidies on the green decisions of a two-echelon supply chain under C&T scheme. Three Stackelberg game models are formulated and analyzed. The analytical results indicate that both manufacturer and retailer tend to collaborate on green marketing when green technology is invested and subsidized. However, the government's subsidy policy cannot guarantee green technology investment and total carbon emission reduction which also depend on the range of green investment cost, emission reduction rate of green technology and the carbon emission intensity of manufacturers. Indeed, higher subsidy will result in the implementation of more expensive but cleaner green technology. With the same subsidy budget, the manufacturer can earn more and emit less under FC subsidy, but ER subsidy can bring more profit to retailer and induce more green production and greater green marketing efforts. Therefore, the government can use FC subsidy on developed and high emission industries to control total emission and adopt ER subsidy on emerging or developing industries to promote their development.

Suggested Citation

  • Li, Zhimin & Pan, Yanchun & Yang, Wen & Ma, Jianhua & Zhou, Ming, 2021. "Effects of government subsidies on green technology investment and green marketing coordination of supply chain under the cap-and-trade mechanism," Energy Economics, Elsevier, vol. 101(C).
  • Handle: RePEc:eee:eneeco:v:101:y:2021:i:c:s0140988321003194
    DOI: 10.1016/j.eneco.2021.105426
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988321003194
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2021.105426?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. Sueyoshi, Toshiyuki & Wang, Derek, 2014. "Radial and non-radial approaches for environmental assessment by Data Envelopment Analysis: Corporate sustainability and effective investment for technology innovation," Energy Economics, Elsevier, vol. 45(C), pages 537-551.
    3. Caurla, Sylvain & Bertrand, Vincent & Delacote, Philippe & Le Cadre, Elodie, 2018. "Heat or power: How to increase the use of energy wood at the lowest cost?," Energy Economics, Elsevier, vol. 75(C), pages 85-103.
    4. Zhu, Bangzhu & Ye, Shunxin & Han, Dong & Wang, Ping & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "A multiscale analysis for carbon price drivers," Energy Economics, Elsevier, vol. 78(C), pages 202-216.
    5. Ding, Huiping & Zhao, Qilan & An, Zhirong & Tang, Ou, 2016. "Collaborative mechanism of a sustainable supply chain with environmental constraints and carbon caps," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 191-207.
    6. Zhang, Juan & Gou, Qinglong & Liang, Liang & Huang, Zhimin, 2013. "Supply chain coordination through cooperative advertising with reference price effect," Omega, Elsevier, vol. 41(2), pages 345-353.
    7. Jiang, Minxing & Zhu, Bangzhu & Wei, Yi-Ming & Chevallier, Julien & He, Kaijian, 2018. "An intertemporal carbon emissions trading system with cap adjustment and path control," Energy Policy, Elsevier, vol. 122(C), pages 152-161.
    8. Waltho, Cynthia & Elhedhli, Samir & Gzara, Fatma, 2019. "Green supply chain network design: A review focused on policy adoption and emission quantification," International Journal of Production Economics, Elsevier, vol. 208(C), pages 305-318.
    9. Zhao, Xiaoli & Yin, Haitao & Zhao, Yue, 2015. "Impact of environmental regulations on the efficiency and CO2 emissions of power plants in China," Applied Energy, Elsevier, vol. 149(C), pages 238-247.
    10. Haji Esmaeili, Seyed Ali & Sobhani, Ahmad & Szmerekovsky, Joseph & Dybing, Alan & Pourhashem, Ghasideh, 2020. "First-generation vs. second-generation: A market incentives analysis for bioethanol supply chains with carbon policies," Applied Energy, Elsevier, vol. 277(C).
    11. Shan Chang & Bin Hu & Xiuhong He, 2019. "Supply Chain Coordination in the Context of Green Marketing Efforts and Capacity Expansion," Sustainability, MDPI, vol. 11(20), pages 1-22, October.
    12. Zhang, Yue-Jun & Wang, Ao-Dong & Tan, Weiping, 2015. "The impact of China's carbon allowance allocation rules on the product prices and emission reduction behaviors of ETS-covered enterprises," Energy Policy, Elsevier, vol. 86(C), pages 176-185.
    13. Du, Shaofu & Zhu, Lili & Liang, Liang & Ma, Fang, 2013. "Emission-dependent supply chain and environment-policy-making in the ‘cap-and-trade’ system," Energy Policy, Elsevier, vol. 57(C), pages 61-67.
    14. Linghong Zhang & Bowen Xue & Xiyu Liu, 2018. "Carbon Emission Reduction with Regard to Retailer’s Fairness Concern and Subsidies," Sustainability, MDPI, vol. 10(4), pages 1-28, April.
    15. Lin, Boqiang & Jia, Zhijie, 2020. "Is emission trading scheme an opportunity for renewable energy in China? A perspective of ETS revenue redistributions," Applied Energy, Elsevier, vol. 263(C).
    16. Yang, Wen & Pan, Yanchun & Ma, Jianhua & Yang, Tianyue & Ke, Xiao, 2020. "Effects of allowance allocation rules on green technology investment and product pricing under the cap-and-trade mechanism," Energy Policy, Elsevier, vol. 139(C).
    17. 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.
    18. Plambeck, Erica L., 2012. "Reducing greenhouse gas emissions through operations and supply chain management," Energy Economics, Elsevier, vol. 34(S1), pages 64-74.
    19. Safarzadeh, Soroush & Rasti-Barzoki, Morteza, 2019. "A game theoretic approach for assessing residential energy-efficiency program considering rebound, consumer behavior, and government policies," Applied Energy, Elsevier, vol. 233, pages 44-61.
    20. David F. Drake & Paul R. Kleindorfer & Luk N. Van Wassenhove, 2016. "Technology Choice and Capacity Portfolios under Emissions Regulation," Production and Operations Management, Production and Operations Management Society, vol. 25(6), pages 1006-1025, June.
    21. Yu, Jian & Shi, Xunpeng & Guo, Dongmei & Yang, Longjian, 2021. "Economic policy uncertainty (EPU) and firm carbon emissions: Evidence using a China provincial EPU index," Energy Economics, Elsevier, vol. 94(C).
    22. Fang, Chenhao & Ma, Tieju, 2020. "Stylized agent-based modeling on linking emission trading systems and its implications for China's practice," Energy Economics, Elsevier, vol. 92(C).
    23. Wenbo Shi & K. Jo Min, 2015. "Remanufacturing decisions and implications under material cost uncertainty," International Journal of Production Research, Taylor & Francis Journals, vol. 53(21), pages 6421-6435, November.
    24. Zhang, Mingming & Liu, Liyun & Wang, Qunwei & Zhou, Dequn, 2020. "Valuing investment decisions of renewable energy projects considering changing volatility," Energy Economics, Elsevier, vol. 92(C).
    25. Lin, Boqiang & Jia, Zhijie, 2019. "What will China's carbon emission trading market affect with only electricity sector involvement? A CGE based study," Energy Economics, Elsevier, vol. 78(C), pages 301-311.
    26. Yanfang Huo & Xize Wang & Quan Deng & Peng Han, 2018. "Novel Joint-Financing Model for Bilateral Capital Restricted Supply Chains under Cap-and-Trade Regulation," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-13, August.
    27. S. Jørgensen & S. Taboubi & G. Zaccour, 2001. "Cooperative Advertising in a Marketing Channel," Journal of Optimization Theory and Applications, Springer, vol. 110(1), pages 145-158, July.
    28. 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).
    29. Zhu, Bangzhu & Ye, Shunxin & Wang, Ping & He, Kaijian & Zhang, Tao & Wei, Yi-Ming, 2018. "A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting," Energy Economics, Elsevier, vol. 70(C), pages 143-157.
    30. Malladi, Krishna Teja & Sowlati, Taraneh, 2020. "Impact of carbon pricing policies on the cost and emission of the biomass supply chain: Optimization models and a case study," Applied Energy, Elsevier, vol. 267(C).
    31. Yang, Bo & Wei, Yi-Ming & Liu, Lan-Cui & Hou, Yun-Bing & Zhang, Kun & Yang, Lai & Feng, Ye, 2021. "Life cycle cost assessment of biomass co-firing power plants with CO2 capture and storage considering multiple incentives," Energy Economics, Elsevier, vol. 96(C).
    32. Chen, Siyuan & Zhang, Qi & Li, Hailong & Mclellan, Benjamin & Zhang, Tiantian & Tan, Zhizhou, 2019. "Investment decision on shallow geothermal heating & cooling based on compound options model: A case study of China," Applied Energy, Elsevier, vol. 254(C).
    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. Chen, Shi & Huang, Fu-Wei & Lin, Jyh-Horng, 2022. "Life insurance policyholder protection, government green subsidy, and cap-and-trade transactions in a black swan environment," Energy Economics, Elsevier, vol. 115(C).
    2. Hao, Xinyu & Sun, Wen & Zhang, Xiaoling, 2023. "How does a scarcer allowance remake the carbon market? An evolutionary game analysis from the perspective of stakeholders," Energy, Elsevier, vol. 280(C).
    3. Chen, Shi & Huang, Fu-Wei & Lin, Jyh-Horng, 2023. "Green technology choices under the cap-and-trade mechanism with insurer green finance in a dragon-king environment," Energy Economics, Elsevier, vol. 117(C).
    4. Ji, Jingna & Zhang, Zhiyong & Yang, Lei, 2017. "Comparisons of initial carbon allowance allocation rules in an O2O retail supply chain with the cap-and-trade regulation," International Journal of Production Economics, Elsevier, vol. 187(C), pages 68-84.
    5. Shaojian Qu & Guoqing Jiang & Ying Ji & Guangming Zhang & Nabe Mohamed, 2021. "Newsvendor’s optimal decisions under stochastic demand and cap-and-trade regulation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17764-17787, December.
    6. Bibhas C. Giri & Ishani Ray, 2022. "Optimal sustainability investment and pricing decisions in a two-echelon supply chain with emissions-sensitive demand under cap-and-trade policy," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 786-808, September.
    7. Jiang, Jingjing & Xie, Dejun & Ye, Bin & Shen, Bo & Chen, Zhanming, 2016. "Research on China’s cap-and-trade carbon emission trading scheme: Overview and outlook," Applied Energy, Elsevier, vol. 178(C), pages 902-917.
    8. Ji, Jingna & Li, Tao & Yang, Lei, 2023. "Pricing and carbon reduction strategies for vertically differentiated firms under Cap-and-Trade regulation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    9. Cao, Erbao & Yu, Man, 2019. "The bright side of carbon emission permits on supply chain financing and performance," Omega, Elsevier, vol. 88(C), pages 24-39.
    10. Dou, Guowei & Choi, Tsan-Ming, 2021. "Does implementing trade-in and green technology together benefit the environment?," European Journal of Operational Research, Elsevier, vol. 295(2), pages 517-533.
    11. Malladi, Krishna Teja & Sowlati, Taraneh, 2020. "Impact of carbon pricing policies on the cost and emission of the biomass supply chain: Optimization models and a case study," Applied Energy, Elsevier, vol. 267(C).
    12. 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.
    13. Qiang Du & Jiajie Zhou, 2022. "Evolution of Low Carbon Supply Chain Research: A Systematic Bibliometric Analysis," IJERPH, MDPI, vol. 19(23), pages 1-20, November.
    14. Ding, Bingqing & Makowski, Marek & Nahorski, Zbigniew & Ren, Hongtao & Ma, Tieju, 2022. "Optimizing the technology pathway of China's liquid fuel production considering uncertain oil prices: A robust programming model," Energy Economics, Elsevier, vol. 115(C).
    15. Shi Chen & Fu-Wei Huang & Jyh-Horng Lin, 2022. "Effects of Cap-and-Trade Mechanism and Financial Gray Rhino Threats on Insurer Performance," Energies, MDPI, vol. 15(15), pages 1-20, July.
    16. 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.
    17. Wang, Yuyan & Yu, Zhaoqing & Jin, Mingzhou & Mao, Jiafu, 2021. "Decisions and coordination of retailer-led low-carbon supply chain under altruistic preference," European Journal of Operational Research, Elsevier, vol. 293(3), pages 910-925.
    18. Cheng, Peiyue & Wang, Tingsong, 2023. "Optimizing the emission control policies and trade-in program effects: A carbon-constrained closed-loop supply chain network model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    19. Limin Su & Yongchao Cao & Wenjuan Zhang, 2023. "Low-Carbon Supply Chain Operation Decisions and Coordination Strategies Considering the Consumers’ Preferences," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    20. Deng Li & Ying Peng & Chunxiang Guo & Ruwen Tan, 2019. "Pricing Strategy of Construction and Demolition Waste Considering Retailer Fairness Concerns under a Governmental Regulation Environment," IJERPH, MDPI, vol. 16(20), pages 1-24, October.

    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:eee:eneeco:v:101:y:2021:i:c:s0140988321003194. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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.