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Effects of Dual Credit Policy and Consumer Preferences on Production Decisions in Automobile Supply Chain

Author

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  • Liangui Peng

    (School of Business, East China University of Science and Technology, Shanghai 200237, China)

  • Ying Li

    (School of Business, East China University of Science and Technology, Shanghai 200237, China)

  • Hui Yu

    (School of Business, East China University of Science and Technology, Shanghai 200237, China)

Abstract

New energy vehicles have a significant advantage in energy saving and environmental pollution reduction in the transportation industry; however, they are still at a disadvantage in the market competition. The Chinese government has introduced lots of policy measures to promote the mass adoption of new energy vehicles (NEVs), specifically the dual credit policy. Moreover, consumer’s preferences are vital factors in their purchase decision making. This study focuses on the production decisions of automobile manufacturers under the decentralized and centralized supply chain, considering the factors of both consumer preferences and dual credit policy. First, under the centralized decision mode, higher demand drives the manufacturer to expand production; however, retailers’ profits are harmed. With the increase in consumers’ environmental preference and cognition of endurance ability, market pricing and demand increase under the decentralized decision mode. The cross effects of preferences bring more profits for manufacturers and retailers. Second, the difference in prices and profits widens, under the two decision modes, as increases in consumer preferences’ value. When consumers have higher environmental preferences, manufacturers and retailers should increase the new energy vehicle pricing. Otherwise, they should decrease pricing to increase the market penetration ratio. In addition, the impacts of one preference on the profit difference are related to the other preference.

Suggested Citation

  • Liangui Peng & Ying Li & Hui Yu, 2021. "Effects of Dual Credit Policy and Consumer Preferences on Production Decisions in Automobile Supply Chain," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:5821-:d:559839
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    as
    1. Zhang, Xian & Wang, Ke & Hao, Yu & Fan, Jing-Li & Wei, Yi-Ming, 2013. "The impact of government policy on preference for NEVs: The evidence from China," Energy Policy, Elsevier, vol. 61(C), pages 382-393.
    2. Yu, Yi & Zhou, Dequn & Zha, Donglan & Wang, Qunwei & Zhu, Qingyuan, 2021. "Optimal production and pricing strategies in auto supply chain when dual credit policy is substituted for subsidy policy," Energy, Elsevier, vol. 226(C).
    3. Gu, Xiaoyu & Zhou, Li & Huang, Hongfu & Shi, Xiutian & Ieromonachou, Petros, 2021. "Electric vehicle battery secondary use under government subsidy: A closed-loop supply chain perspective," International Journal of Production Economics, Elsevier, vol. 234(C).
    4. Shao, Lulu & Yang, Jun & Zhang, Min, 2017. "Subsidy scheme or price discount scheme? Mass adoption of electric vehicles under different market structures," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1181-1195.
    5. K. Sudhir, 2001. "Competitive Pricing Behavior in the Auto Market: A Structural Analysis," Marketing Science, INFORMS, vol. 20(1), pages 42-60, January.
    6. Cheng, Yongwei & Fan, Tijun, 2021. "Production coopetition strategies for an FV automaker and a competitive NEV automaker under the dual-credit policy," Omega, Elsevier, vol. 103(C).
    7. Wang, Ning & Tang, Linhao & Zhang, Wenjian & Guo, Jiahui, 2019. "How to face the challenges caused by the abolishment of subsidies for electric vehicles in China?," Energy, Elsevier, vol. 166(C), pages 359-372.
    8. Bengang Gong & Xuan Xia & Jinshi Cheng, 2020. "Supply-Chain Pricing and Coordination for New Energy Vehicles Considering Heterogeneity in Consumers’ Low Carbon Preference," Sustainability, MDPI, vol. 12(4), pages 1-14, February.
    9. Wu, Yang Andrew & Ng, Artie W. & Yu, Zichao & Huang, Jie & Meng, Ke & Dong, Z.Y., 2021. "A review of evolutionary policy incentives for sustainable development of electric vehicles in China: Strategic implications," Energy Policy, Elsevier, vol. 148(PB).
    10. Luo, Qi & Saigal, Romesh & Chen, Zhibin & Yin, Yafeng, 2019. "Accelerating the adoption of automated vehicles by subsidies: A dynamic games approach," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 226-243.
    11. Timothy W. McGuire & Richard Staelin, 1983. "An Industry Equilibrium Analysis of Downstream Vertical Integration," Marketing Science, INFORMS, vol. 2(2), pages 161-191.
    12. Wang, Yacan & Hazen, Benjamin T., 2016. "Consumer product knowledge and intention to purchase remanufactured products," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 460-469.
    13. K. Sudhir, 2001. "Competitive Pricing Behavior in the US Auto Market: A Structural Analysis," Yale School of Management Working Papers ysm228, Yale School of Management.
    14. Gu, Huaying & Liu, Zhixue & Qing, Qiankai, 2017. "Optimal electric vehicle production strategy under subsidy and battery recycling," Energy Policy, Elsevier, vol. 109(C), pages 579-589.
    15. He, Ping & Wang, Zheng & Shi, Victor & Liao, Yi, 2021. "The direct and cross effects in a supply chain with consumers sensitive to both carbon emissions and delivery time," European Journal of Operational Research, Elsevier, vol. 292(1), pages 172-183.
    16. David L. McCollum & Charlie Wilson & Michela Bevione & Samuel Carrara & Oreane Y. Edelenbosch & Johannes Emmerling & Céline Guivarch & Panagiotis Karkatsoulis & Ilkka Keppo & Volker Krey & Zhenhong Li, 2018. "Interaction of consumer preferences and climate policies in the global transition to low-carbon vehicles," Nature Energy, Nature, vol. 3(8), pages 664-673, August.
    17. Huan Zhang & Xinxin Xu & Wei Liu & Zhiyou Jia, 2020. "Green supply chain decision modeling under financial policy, with or without uniform government emission reduction policy," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 1040-1056, September.
    18. Li, Jizi & Ku, Yaoyao & Yu, Yue & Liu, Chunling & Zhou, Yuping, 2020. "Optimizing production of new energy vehicles with across-chain cooperation under China’s dual credit policy," Energy, Elsevier, vol. 194(C).
    19. Michael K. Lim & Ho-Yin Mak & Ying Rong, 2015. "Toward Mass Adoption of Electric Vehicles: Impact of the Range and Resale Anxieties," Manufacturing & Service Operations Management, INFORMS, vol. 17(1), pages 101-119, February.
    20. Li, Jingjing & Jiao, Jianling & Tang, Yunshu, 2020. "Analysis of the impact of policies intervention on electric vehicles adoption considering information transmission—based on consumer network model," Energy Policy, Elsevier, vol. 144(C).
    21. Jian Huang & Mingming Leng & Liping Liang & Jian Liu, 2013. "Promoting electric automobiles: supply chain analysis under a government’s subsidy incentive scheme," IISE Transactions, Taylor & Francis Journals, vol. 45(8), pages 826-844.
    22. Haustein, Sonja & Jensen, Anders Fjendbo & Cherchi, Elisabetta, 2021. "Battery electric vehicle adoption in Denmark and Sweden: Recent changes, related factors and policy implications," Energy Policy, Elsevier, vol. 149(C).
    23. Zhang, Xiang, 2014. "Reference-dependent electric vehicle production strategy considering subsidies and consumer trade-offs," Energy Policy, Elsevier, vol. 67(C), pages 422-430.
    24. Zhu, Mengping & Liu, Zhixue & Li, Jianbin & Zhu, Stuart X., 2020. "Electric vehicle battery capacity allocation and recycling with downstream competition," European Journal of Operational Research, Elsevier, vol. 283(1), pages 365-379.
    25. Sierzchula, William & Bakker, Sjoerd & Maat, Kees & van Wee, Bert, 2014. "The influence of financial incentives and other socio-economic factors on electric vehicle adoption," Energy Policy, Elsevier, vol. 68(C), pages 183-194.
    26. White, Lee V. & Sintov, Nicole D., 2017. "You are what you drive: Environmentalist and social innovator symbolism drives electric vehicle adoption intentions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 94-113.
    27. Jun, Seung-Pyo & Yoo, Hyoung Sun & Kim, Ji-Hui, 2016. "A study on the effects of the CAFE standard on consumers," Energy Policy, Elsevier, vol. 91(C), pages 148-160.
    28. Ziyue Wang & Juan Zhang & Huiju Zhao, 2020. "The Selection of Green Technology Innovations under Dual-Credit Policy," Sustainability, MDPI, vol. 12(16), pages 1-22, August.
    29. Harrison, Gillian & Thiel, Christian, 2017. "An exploratory policy analysis of electric vehicle sales competition and sensitivity to infrastructure in Europe," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 165-178.
    30. Ou, Shiqi & Lin, Zhenhong & Qi, Liang & Li, Jie & He, Xin & Przesmitzki, Steven, 2018. "The dual-credit policy: Quantifying the policy impact on plug-in electric vehicle sales and industry profits in China," Energy Policy, Elsevier, vol. 121(C), pages 597-610.
    31. Azevedo, Alcino & Pereira, Paulo J. & Rodrigues, Artur, 2021. "Optimal timing and capacity choice with taxes and subsidies under uncertainty," Omega, Elsevier, vol. 102(C).
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    Cited by:

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    2. Ying Xie & Jie Wu & Hannian Zhi & Muhammad Riaz & Liangpeng Wu, 2023. "A Study on the Evolution of Competition in China’s Auto Market Considering Market Capacity Constraints and a Game Payoff Matrix: Based on the Dual Credit Policy," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    3. Li, Chao & Yi, Yongxi & Zhang, Aoxiang & Chen, Biao, 2023. "Fuel consumption-reduction investment decisions and coordination contracts in fuel vehicle supply chains: A dynamic analysis," Energy Economics, Elsevier, vol. 125(C).
    4. Feng Liu & Yingshuang Tan & Sudipto Sarkar & Xueqing Zhang & Xingjun Huang, 2023. "When to invest in electric vehicles under dual credit policy: A real options approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2186-2198, June.
    5. Yuanyuan Xu & Xiuyan Ma & Gengui Zhou, 2022. "Coordination of Automobile Supply Chain Considering Relative Endurance Level under the Dual-Credit Policy," Sustainability, MDPI, vol. 14(21), pages 1-20, October.

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