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Study on Low-Carbon Technology Innovation Strategies through Government–University–Enterprise Cooperation under Carbon Trading Policy

Author

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  • Junwu Wang

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430000, China
    Hainan Research Institute of Wuhan University of Technology, Sanya 572000, China)

  • Yinghui Song

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430000, China)

  • Mao Li

    (China Construction Third Engineering Bureau Group Co., Ltd., Wuhan 430000, China)

  • Cong Yuan

    (China Construction Third Engineering Bureau Group Co., Ltd., Wuhan 430000, China)

  • Feng Guo

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430000, China
    Hainan Research Institute of Wuhan University of Technology, Sanya 572000, China)

Abstract

This paper focuses on developing low-carbon technology (LCT) innovation in traditional enterprises under carbon trading policies. The Hamilton–Jacobi–Berman equation quantitatively investigates the coordination mechanism and optimal strategy of LCT innovation systems in conventional industries. A three-way dynamic differential game model is constructed to analyze three cases: the Nash disequilibrium game; the Stackelberg master–slave game; and the cooperative game with the optimal effort of universities, traditional enterprises, and local government, the optimal benefits of the three parties, the region, and the regional LCT level. The results are as follows: (1) by changing the government subsidy factor, carbon trading price, and carbon trading tax rate, the optimal effort of universities and traditional enterprises can be significantly increased; (2) cost-sharing contracts do not change the level of effort of local government to manage the environment, and the use of cost-sharing agreements can change the status of action of universities and enterprises; (3) the optimal effort, optimal benefit, and total system benefit of the three parties and the level of LCT of the industry in the cooperative game are better than those in the non-cooperative case. The combined game achieves the Pareto optimum of the system. The study will contribute to both sustainable business development and environmental sustainability.

Suggested Citation

  • Junwu Wang & Yinghui Song & Mao Li & Cong Yuan & Feng Guo, 2022. "Study on Low-Carbon Technology Innovation Strategies through Government–University–Enterprise Cooperation under Carbon Trading Policy," Sustainability, MDPI, vol. 14(15), pages 1-26, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9381-:d:877158
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    References listed on IDEAS

    as
    1. Xujin Pu & Zhiping Song & Guanghua Han, 2018. "Competition among Supply Chains and Governmental Policy: Considering Consumers’ Low-Carbon Preference," IJERPH, MDPI, vol. 15(9), pages 1-21, September.
    2. Ding, Suiting & Zhang, Ming & Song, Yan, 2019. "Exploring China's carbon emissions peak for different carbon tax scenarios," Energy Policy, Elsevier, vol. 129(C), pages 1245-1252.
    3. Xiaohua Song & Xiao Jiang & Xubei Zhang & Jinpeng Liu, 2018. "Analysis, Evaluation and Optimization Strategy of China Thermal Power Enterprises’ Business Performance Considering Environmental Costs under the Background of Carbon Trading," Sustainability, MDPI, vol. 10(6), pages 1-27, June.
    4. Zheming Yan & Lan Yi & Kerui Du & Zhiming Yang, 2017. "Impacts of Low-Carbon Innovation and Its Heterogeneous Components on CO 2 Emissions," Sustainability, MDPI, vol. 9(4), pages 1-14, April.
    5. Feng Guo & Junwu Wang & Denghui Liu & Yinghui Song, 2021. "Evolutionary Process of Promoting Construction Safety Education to Avoid Construction Safety Accidents in China," IJERPH, MDPI, vol. 18(19), pages 1-22, October.
    6. Xiaohong Chen & Wei Gong & Fuqiang Wang, 2017. "Managing Carbon Footprints under the Trade Credit," Sustainability, MDPI, vol. 9(7), pages 1-14, July.
    7. Song, Yanwu & Zhang, Jinrui & Song, Yingkang & Fan, Xinran & Zhu, Yuqing & Zhang, Chen, 2020. "Can industry-university-research collaborative innovation efficiency reduce carbon emissions?," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    8. Wang, Yan & Shen, Neng, 2016. "Environmental regulation and environmental productivity: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 758-766.
    9. Jintao Ma & Qiuguang Hu & Weiteng Shen & Xinyi Wei, 2021. "Does the Low-Carbon City Pilot Policy Promote Green Technology Innovation? Based on Green Patent Data of Chinese A-Share Listed Companies," IJERPH, MDPI, vol. 18(7), pages 1-18, April.
    10. Jianming Zhang & Gongqian Liang & Taiwen Feng & Chunlin Yuan & Wenbo Jiang, 2020. "Green innovation to respond to environmental regulation: How external knowledge adoption and green absorptive capacity matter?," Business Strategy and the Environment, Wiley Blackwell, vol. 29(1), pages 39-53, January.
    11. Fouad El Ouardighi & Konstantin Kogan, 2013. "Dynamic conformance and design quality in a supply chain: an assessment of contracts’ coordinating power," Annals of Operations Research, Springer, vol. 211(1), pages 137-166, December.
    12. Sung Hyo Hong, 2021. "Determinants of Selection of R&D Cooperation Partners: Insights from Korea," Sustainability, MDPI, vol. 13(17), pages 1-11, August.
    13. Kneller, Richard & Manderson, Edward, 2012. "Environmental regulations and innovation activity in UK manufacturing industries," Resource and Energy Economics, Elsevier, vol. 34(2), pages 211-235.
    14. Yujiao Xian & Ke Wang & Yi-Ming Wei & Zhimin Huang, 2018. "Would China¡¯s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," CEEP-BIT Working Papers 121, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    15. Shuyi Wang & Daizhong Su, 2022. "Sustainable Product Innovation and Consumer Communication," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    16. Ling Shen & Fengming Tao & Songyi Wang, 2018. "Multi-Depot Open Vehicle Routing Problem with Time Windows Based on Carbon Trading," IJERPH, MDPI, vol. 15(9), pages 1-20, September.
    17. Day, Rosie, 2015. "Low carbon thermal technologies in an ageing society – What are the issues?," Energy Policy, Elsevier, vol. 84(C), pages 250-256.
    18. Xin, Baogui & Sun, Minghe, 2018. "A differential oligopoly game for optimal production planning and water savings," European Journal of Operational Research, Elsevier, vol. 269(1), pages 206-217.
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    1. Lijing Zhang & Shuke Fu & Jiali Tian & Jiachao Peng, 2022. "A Review of Energy Industry Chain and Energy Supply Chain," Energies, MDPI, vol. 15(23), pages 1-21, December.

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