Dynamic Mechanisms of CCS-EOR Technology Diffusion Driven by Carbon Market Policies: An Evolutionary Game Analysis and Carbon Price Threshold Study

Large-scale diffusion of carbon capture, storage, and enhanced oil recovery (CCS-EOR) technology requires coordinated decisions by CO2 capture and utilization enterprises, yet their economic incentives are interdependent. This study aims to explain how carbon allowance prices and allocation constraints affect bilateral CO2 pricing and the subsequent adoption of CCS-EOR technology. An alternating-offer bargaining model for determining the CO2 transaction price is coupled with a two-population evolutionary game describing the adoption decisions of capture and utilization enterprises. This integrated approach examines how carbon-market policies shape bargaining outcomes, economic returns, and adoption strategies of both enterprise types. Four techno-economic scenarios calibrated to Chinese CCS-EOR projects are examined using equilibrium analysis, numerical diffusion simulations, a ±10% parameter sensitivity analysis, and stochastic allowance price robustness tests. The critical allowance prices are 64.9 and 110.0 USD/tCO2 for low- and high-capture-cost scenarios, respectively, a difference of 45.1 USD/tCO2 (approximately 69.5% of the low-capture-cost threshold). A ±10% change in operating capture cost shifts these thresholds by ±6.15 and ±10.66 USD/tCO2, whereas the same change in levelized fixed capture cost shifts both thresholds by ±0.34 USD/tCO2. Simulations using a 19 × 19 grid of initial adoption probabilities quantify the basin of attraction of joint adoption; the critical carbon price depends on capture costs, while oil recovery benefits and other techno-economic factors affect the diffusion trajectories below the threshold. Robustness analysis is conducted, considering allowance price fluctuations under a mean-reverting process across different noise intensities (σ = 0 and 6 USD/tCO2). The findings show that carbon pricing influences utilization enterprises indirectly through bargained CO2 transaction prices and that coupling bilateral price negotiations with evolutionary adoption decisions offers a more comprehensive explanation of CCS-EOR technology diffusion and differentiated policy requirements.

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Publication Details

Journal
Energies
Published
2026-11-06
DOI
https://doi.org/10.3390/en19215325
Primary Topic
Climate Change Policy and Economics
Type
article
Field-Weighted Citation Impact
0.00

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article

Dynamic Mechanisms of CCS-EOR Technology Diffusion Driven by Carbon Market Policies: An Evolutionary Game Analysis and Carbon Price Threshold Study

Yong Zhou Jiang, Yalin Lei, Chuanwang Liu, Junli Zhang
4 links
Energies
Climate Change Policy and Economics
article

Dynamic Mechanisms of CCS-EOR Technology Diffusion Driven by Carbon Market Policies: An Evolutionary Game Analysis and Carbon Price Threshold Study

Yong Zhou Jiang, Yalin Lei, Chuanwang Liu, Junli Zhang
article en

Abstract

Large-scale diffusion of carbon capture, storage, and enhanced oil recovery (CCS-EOR) technology requires coordinated decisions by CO2 capture and utilization enterprises, yet their economic incentives are interdependent. This study aims to explain how carbon allowance prices and allocation constraints affect bilateral CO2 pricing and the subsequent adoption of CCS-EOR technology. An alternating-offer bargaining model for determining the CO2 transaction price is coupled with a two-population evolutionary game describing the adoption decisions of capture and utilization enterprises. This integrated approach examines how carbon-market policies shape bargaining outcomes, economic returns, and adoption strategies of both enterprise types. Four techno-economic scenarios calibrated to Chinese CCS-EOR projects are examined using equilibrium analysis, numerical diffusion simulations, a ±10% parameter sensitivity analysis, and stochastic allowance price robustness tests. The critical allowance prices are 64.9 and 110.0 USD/tCO2 for low- and high-capture-cost scenarios, respectively, a difference of 45.1 USD/tCO2 (approximately 69.5% of the low-capture-cost threshold). A ±10% change in operating capture cost shifts these thresholds by ±6.15 and ±10.66 USD/tCO2, whereas the same change in levelized fixed capture cost shifts both thresholds by ±0.34 USD/tCO2. Simulations using a 19 × 19 grid of initial adoption probabilities quantify the basin of attraction of joint adoption; the critical carbon price depends on capture costs, while oil recovery benefits and other techno-economic factors affect the diffusion trajectories below the threshold. Robustness analysis is conducted, considering allowance price fluctuations under a mean-reverting process across different noise intensities (σ = 0 and 6 USD/tCO2). The findings show that carbon pricing influences utilization enterprises indirectly through bargained CO2 transaction prices and that coupling bilateral price negotiations with evolutionary adoption decisions offers a more comprehensive explanation of CCS-EOR technology diffusion and differentiated policy requirements.

EnergiesVol. 19(21)
China University of Geosciences (CN), China University of Geosciences (Beijing) (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Climate action, Affordable and clean energy
Openalex Percentile: Top 11%
Climate Change Policy and Economics
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