THE STRATEGIC INTERACTION BETWEEN CHINA'S CARBON POLICIES AND ENTERPRISE GREEN SUPPLY CHAIN DECISIONS FOR SUSTAINABLE TRADE COMPETITIVENESS
DOI:
https://doi.org/10.64451/smzcbr42Keywords:
Strategic Policy Co-governance, Sustainable Trade Competitiveness, Green Supply Chain, Digital Transformation, Emissions TradingAbstract
The worldwide transition to low-carbon trade requires a thorough comprehension of how governmental environmental regulations influence corporate strategic adaptations to preserve international competitiveness. This research, conducted via a Systematic Literature Review (SLR), consolidates 16 articles pertaining to China's dual-carbon policies and enterprise supply chain management within the period from 2024 to 2025. The study aims to elucidate the mechanisms by which policy instruments interact, how firms strategically adapt across various sectors, and how these dynamics influence sustainable trade results. Findings establish the principle of Strategic Policy Co-governance, demonstrating that policy effectiveness depends on the coordinated application of instruments (market mechanisms, subsidies, and taxes) adapted to particular technological phases (Yang et al., 2025). Enterprise response entails a pivotal strategic decision between remanufacturing and recycling versus technological enhancement (Wu et al., 2025), complemented by the utilization of digital transformation (Yang et al., 2024) and carbon information disclosure (Xu et al., 2025) as key competitive drivers. The conclusion is that sustainable trade competitiveness emerges as a property of a co-governance equilibrium involving multiple stakeholders—a system maintained by well-defined governmental constraints (Li et al., 2024) that incentivize firms to adhere strategically and promote resilience within supply chains. This synthesis provides essential strategic insights for policymakers and managers operating within the intricate realm of global environmental trade governance
References
Chang, J., Wang, F., Sun, S., & Li, R. (2024). The tripartite evolutionary game of enterprises' green production strategy with government supervision and people participation. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2024.122627
Chen, X., Li, J., & Guo, S. (2025). Revolution or trap? long-term diffusion of bioplastics in china: Economic losses, health benefits, and policy pathways based on a multi-module CGE-LCA model. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2025.127056
Du, P., Ni, Y., & Chen, H. (2023). Carbon emission fluctuations of Chinese inter-regional interaction: a network multi-hub diffusion perspective. Environmental Science and Pollution Research, 30(18), 52141–52156. https://doi.org/10.1007/s11356-023-25994-7
Han, D., Yang, Z., & Gao, D. (2025). Agent based modeling of energy consuming rights trading for low carbon transformation in China. Scientific Reports. https://doi.org/10.1038/s41598-025-10838-w
He, Y., Wang, B., Qin, R., & Li, F. (2025). The evolution of supervision strategies on coal mine safety hazards and dynamic penalty. Journal of Mining Science and Technology, 10(2), 328–337. https://doi.org/10.19606/j.cnki.jmst.2024919
Jun, H., Jie, W., Fei, Z., & Mengzhe, W. (2024). Contract selection for collaborative innovation in the new energy vehicle supply chain under the dual credit policy: Cost sharing and benefit sharing. International Journal of Industrial Engineering Computations, 15(1), 209–222. https://doi.org/10.5267/j.ijiec.2023.10.003
Labaran, M. J., & Masood, T. (2025). Technological frontiers: addressing renewable energy supply chain and sustainability challenges. Discover Sustainability, 6(1). https://doi.org/10.1007/s43621-025-00909-3
Leng, J., He, C., & Zhang, Y. (2025). Research on blockchain-enabled sustainable operations and government intervention strategies in high-water-consumption industries. Water Science and Technology. https://doi.org/10.2166/ws.2025.048
Li, H., Wang, W., & Chen, J. (2024). A study of the evolutionary game of carbon offset involving tourism stakeholders under incentive and constraint mechanisms. Scientific Reports. https://doi.org/10.1038/s41598-024-65964-8
Luan, M., Yin, L., Ye, M., & Huang, L. (2025). Evolutionary game analysis of ecological cooperation in a supply chain ecosystem under government supervision. Frontiers in Physics, 13. https://doi.org/10.3389/fphy.2025.1544607
Mao, S., Li, Q., & Wang, K. (2025). Research on accelerating the recycling efficiency of waste batteries for new energy vehicles based on a stochastic evolutionary game model. Scientific Reports. https://doi.org/10.1038/s41598-025-86184-8
Mu, Y., & Zhao, J. (2023). Production Strategy and Technology Innovation under Different Carbon Emission Polices. Sustainability (Switzerland), 15(12). https://doi.org/10.3390/su15129820
Mukherjee, S., & Chakraborty, D. (2016). Environmental policy instruments for international trade: A review. In Trade, Investment and Economic Development in Asia: Empirical and policy issues (pp. 249–262). Taylor and Francis. https://doi.org/10.4324/9781315617398-26
Pan, Y., Zhang, J., & Zhou, L. (2025). How to achieve high-quality participation in voluntary environmental regulation: Influencing factors and decision mechanism. PLoS One. https://doi.org/10.1371/journal.pone.0332806
Shao, Q., Liu, J., & Zhu, S. (2025). Evolutionary Game Analysis of MRV Governance and Third-Party Verification in Building Carbon Markets. Buildings, 15(19). https://doi.org/10.3390/buildings15193625
Sun, K., Yang, H., & Zhou, W. (2025). Cooperative pathways for the green transformation of heavily polluting enterprises: A four-party game-driven mechanism for green M&A. PLoS One. https://doi.org/10.1371/journal.pone.0322411
Tvinnereim, E., & Mehling, M. (2018). Carbon pricing and deep decarbonisation. Energy Policy, 121, 185–189. https://doi.org/10.1016/j.enpol.2018.06.020
Wang, C., Wang, W., & Huang, R. (2017). Supply chain enterprise operations and government carbon tax decisions considering carbon emissions. Journal of Cleaner Production, 152, 271–280. https://doi.org/10.1016/j.jclepro.2017.03.051
Wang, N., & Chang, Y.-C. (2014). The development of policy instruments in supporting low-carbon governance in China. Renewable and Sustainable Energy Reviews, 35, 126–135. https://doi.org/10.1016/j.rser.2014.03.021
Wang, S., Zhu, D., & Wang, J. (2025). Impact of policy adjustments on low carbon transition strategies in construction using evolutionary game theory. Scientific Reports. https://doi.org/10.1038/s41598-025-87770-6
Wu, Z., Li, Y., & Chen, G. (2025). Recycling and remanufacturing or technology upgrading? emission reduction decisions of supply chain under carbon cap-and-trade mechanism. PLoS One. https://doi.org/10.1371/journal.pone.0318952
Xu, L., Wang, Q., & Liu, C. (2025). Carbon information disclosure and corporate financial performance—empirical evidence based on heavily polluting industries in China. PLoS One. https://doi.org/10.1371/journal.pone.0313638
Yang, L., Li, W., & Zhang, Y. (2024). Corporate digital transformation and carbon emission intensity: empirical evidence from listed companies in China. PLoS One. https://doi.org/10.1371/journal.pone.0313870
Yang, X., Chen, Y., & Li, M. (2025). Carbon tax revenue recycling strategy choices under macroeconomic uncertainty based on low-carbon technology progress. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2025.126437
Yu, M., Bai, J.-M., Qiu, Y., Lin, Y., & Liu, S. (2025). Legal regulation of China’s carbon emissions trading market. Frontiers in Environmental Science, 13. https://doi.org/10.3389/fenvs.2025.1604038
Zhang, L., Liu, K., & Wang, H. (2025). Carbon allowance decision optimization with multi-agent simulation: Incorporating behavioral drivers. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2025.126699
Zhang, L., Ren, J., & Zhang, G. (2024). Optimal dynamic strategy for emission reduction and operation considering hybrid carbon policy with carbon tax and cap-and-trade. Computers and Industrial Engineering, 187. https://doi.org/10.1016/j.cie.2023.109820
Zhang, L.-X., Wen, Z.-G., Xu, M., & Hu, Z. (2024). Impact assessment of the EU carbon border adjustment mechanism on product export costs. Zhongguo Huanjing Kexue/China Environmental Science, 44(4), 1788–1794. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193544784&partnerID=40&md5=b36ebae4817ab0ba2451ba4ab3a2d837
Zhang, Y., Li, Q., & Wang, H. (2025). Analysis of government subsidy strategies in the supply chain of science and technology innovation platform. PLoS One. https://doi.org/10.1371/journal.pone.0323627
Zhou, N., Li, H., & Chen, G. (2025). Towards organic collaborative governance for a more sustainable environment: Evolutionary game analysis within the policy implementation of China's net-zero emissions goals. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2024.123765
Zhu, J., Qin, Z., Wang, X., & Wang, S. (2025). Does Supply Chain Digital Influence Green Innovation of Chinese Manufacturing Enterprises: A Quasi-Natural Experiment Based on Supply Chain Innovation and Application Policy Pilot. Polish Journal of Environmental Studies, 34(4), 4955–4967. https://doi.org/10.15244/pjoes/190327
Zhu, Y., Ghosh, M., Luo, D., Macaluso, N., & Rattray, J. (2018). Revenue Recycling And Cost Effective Ghg Abatement: An Exploratory Analysis Using A Global Multi-Sector Multi-Region Cge Model. Climate Change Economics, 9(1). https://doi.org/10.1142/S2010007818400092
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