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Evolutionary Game Analysis of Low-Carbon Transition in the Steel Industry Under Demand-Side Constraints: A Simulation Based on Empirical Data

Author

Listed:
  • Yang Miao

    (School of Public Administration, Zhejiang University of Technology, Hangzhou 310023, China)

  • Yu-Le Tian

    (School of Public Administration, Zhejiang University of Technology, Hangzhou 310023, China)

  • Qin-Yu Chen

    (Jinhua Innovation Joint Research Institute, Zhejiang University of Technology, Jinhua 321000, China)

  • Xin-Qi Yu

    (School of Public Administration, Zhejiang University of Technology, Hangzhou 310023, China)

Abstract

Under the constraints of China’s “Dual Carbon” targets, promoting green consumption has emerged as a critical market-based strategy to drive industrial decarbonization and achieve sustainable development. However, the existing literature primarily focuses on supply-side government regulation, leaving the mechanism of how demand-side constraints influence the strategic interaction between the government and enterprises under-explored. To bridge this gap, this paper constructs an evolutionary game model incorporating performance-based government incentives, consumer low-carbon preferences, and corporate abatement costs. Unlike theoretical models with hypothetical parameters, this study calibrates the simulation parameters using empirical data from the steel industry in Zhejiang Province, a pilot zone for China’s ecological civilization construction. The simulation results indicate that: First, under the current empirical parameters, the system fails to spontaneously converge to the ideal equilibrium state, highlighting a “governance deadlock”; second, consumer preference intensity serves as a vital external force that can effectively break this deadlock and reduce the government’s regulatory burden; and finally, sensitivity analysis reveals the critical thresholds for the synergistic effect between regulatory policies and market demand. Based on these findings, policy recommendations are proposed to foster a collaborative governance mechanism integrating government guidance, market-driven approaches, and demand-side driving forces.

Suggested Citation

  • Yang Miao & Yu-Le Tian & Qin-Yu Chen & Xin-Qi Yu, 2026. "Evolutionary Game Analysis of Low-Carbon Transition in the Steel Industry Under Demand-Side Constraints: A Simulation Based on Empirical Data," Sustainability, MDPI, vol. 18(4), pages 1-18, February.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:4:p:1951-:d:1864403
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