Research on the Advanced and Applicable Technical Path of Steel based on the Evolution Game of Public Goods

Haoyu Guo; Jiawen Li; Jinghua Zhang; Yuhan Chen; Danping Wang

doi:10.6919/ICJE.202506_11(6).0036

Authors

Haoyu Guo
Jiawen Li
Jinghua Zhang
Yuhan Chen
Danping Wang

DOI:

https://doi.org/10.6919/ICJE.202506_11(6).0036

Keywords:

Carbon Emission Allowances; Monte Carlo Simulation; Public Goods Evolution Game.

Abstract

In this paper, we discuss that under the background of carbon emission quota, with advanced applicable technology as the participant of the evolutionary game, taking carbon emission quota as the resource threshold, setting the benefit function of advanced technology and adopting the Fermi strategy updating rule, Monte Carlo simulation is conducted to achieve the game objective of minimizing the total cost and maximizing the carbon emission reduction effect, and numerical simulation is used to verify the model. The results show that: (1) Carbon emission quotas are crucial to promote technological upgrading of iron and steel enterprises to achieve the reduction of steel carbon emissions; (2) Moderately increasing the synergy factor can effectively enhance the cooperation level of advanced application technologies.

Downloads

Download data is not yet available.

References

[1] CO2 Emissions of All World Countries - 2022 Report on https://www.iea.org.

[2] Climate change 2013: the physical science basis: working Group I contribution to the fifth assessment report of the Intergovernmental Panel on Climate Change on https://archive.ipcc.ch.

[3] Meinshausen, M., Lewis, J., McGlade, C. et al. Realization of Paris Agreement pledges may limit warming just below 2 °C. Nature 604, 304–309 (2022).

[4] Steel statistical yearbooks 2021 on https://worldsteel.org.

[5] Runying An, Biying Yu, Ru Li, Yi-Ming Wei, Potential of energy savings and CO2 emission reduction in China’s iron and steel industry, Applied Energy, Volume 226, 2018,Pages 862-880.

[6] Chao Zhang, Xinxin Zhang, Evolutionary game analysis of air pollution co-investment in emission reductions by steel enterprises under carbon quota trading mechanism,Journal of Environmental Management,Volume 317,2022,115376.

[7] Lei Ren, Sheng Zhou, Tianduo Peng, Xunmin Ou,A review of CO2 emissions reduction technologies and low-carbon development in the iron and steel industry focusing on China,Renewable and Sustainable Energy Reviews,Volume 143,2021,110846.

[8] Technology Transformation Paths in the Steel Industry.https://transitionasia.org.

[9] Nowak MA. Five rules for the evolution of cooperation. Science. 2006 Dec 8;314(5805):1560-3.

[10] Elinor Ostrom,Polycentric systems for coping with collective action and global environmental change,Global Environmental Change,Volume 20, Issue 4,2010,Pages 550-557.

[11] GOULDER, LAWRENCE H., and ANDREW R. SCHEIN. “CARBON TAXES VERSUS CAP AND TRADE: A CRITICAL REVIEW.” Climate Change Economics, vol. 4, no. 3, 2013, pp. 1–28.

[12] Sigmund, K. (2010). The calculus of selfishness. Princeton University Press. https://psycnet.apa.org

[13] Luis R. Izquierdo, Segismundo S. Izquierdo, William H. Sandholm,An introduction to ABED: Agent-based simulation of evolutionary game dynamics,Games and Economic Behavior,Volume 118,2019, Pages 434-462.

[14] Matjaž Perc, Jillian J. Jordan, David G. Rand, Zhen Wang, Stefano Boccaletti, Attila Szolnoki,Statistical physics of human cooperation,Physics Reports,Volume 687,2017,Pages 1-51.

[15] Nowak, M., May, R. Evolutionary games and spatial chaos. Nature 359, 826–829 (1992).

[16] Araujo, G. An evolutionary game theory for event-driven ecological population dynamics. Theory Biosci. 144, 95–105 (2025).

[17] Nordhaus, William. “TIPPING POINTS IN THE CLIMATE CASINO.” The Climate Casino: Risk, Uncertainty, and Economics for a Warming World, Yale University Press, 2013, pp. 50–66.

[18] Sipos, B., Massingham, T., Jordan, G.E. et al. PhyloSim - Monte Carlo simulation of sequence evolution in the R statistical computing environment. BMC Bioinformatics 12, 104 (2011).Klaus Gugler, Adhurim Haxhimusa, Mario Liebensteiner.

[19] Effectiveness of climate policies: Carbon pricing vs. subsidizing renewables,Journal of Environmental Economics and Management,Volume 106,2021,102405.

[20] Chao Feng, Jian-Bai Huang, Miao Wang, Yi Song,Energy efficiency in China's iron and steel industry: Evidence and policy implications,Journal of Cleaner Production,Volume 177,2018,Pages 837-845.