Intellectual property protection, green technology innovation, and energy transition: An evolutionary game analysis

This paper develops an evolutionary game model of heterogeneous firms operating under an intellectual property (IP) protection regime to analyze the co-evolutionary mechanisms and micro-level decision thresholds through which IP protection facilitates green technological innovation and energy transition. The results indicate that achieving a desirable equilibrium of effective protection, active innovation, and accelerated transition relies on the coordinated implementation of three policy instruments: IP protection, innovation subsidies, and environmental regulation. The absence or misalignment of any policy tool may lead the system to an undesirable equilibrium marked by transition stagnation. An optimal threshold for IP enforcement intensity is identified. This threshold is negatively correlated with enforcement costs at the institutional level but positively correlated with the economic benefits and life cycle of green technologies at the technological level. The follower firm exhibits the slowest innovation response, and its sustained innovation depends on a compensatory policy mix that combines IP enforcement with innovation subsidies. While higher prices for green technologies incentivize R&D, they also hinder diffusion. This study fills a theoretical gap in the literature concerning the multi-agent interaction mechanisms guiding energy transition through innovation institutions and provides a theoretical foundation for constructing a green-oriented IP policy system. • Proposes a novel evolutionary game model of heterogeneous firms under IP protection to unravel the co-evolution of green innovation and energy transition. • Reveals that effective IP-subsidy-regulation policy coordination is essential to achieve an ideal triple equilibrium. • Identifies an optimal IP enforcement threshold, trading off institutional costs against technological benefits. • Uncovers the slowest innovation response in follower firms, requiring IP-subsidy policy compensation. • Exposes the innovation-diffusion paradox of green technologies: high prices spur R&D but curb adoption.

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Publication Details

Journal
Energy Economics
Published
2025-09-22
DOI
https://doi.org/10.1016/j.eneco.2025.108901
Citations
3
Primary Topic
Innovation Diffusion and Forecasting
Type
article
Field-Weighted Citation Impact
6.32
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article

Intellectual property protection, green technology innovation, and energy transition: An evolutionary game analysis

Wenhao Du, Qizhi He, Junjun Wu
3 citations
Energy Economics
Innovation Diffusion and Forecasting
6.32
article

Intellectual property protection, green technology innovation, and energy transition: An evolutionary game analysis

Wenhao Du, Qizhi He, Junjun Wu
article en
3 citations

Abstract

This paper develops an evolutionary game model of heterogeneous firms operating under an intellectual property (IP) protection regime to analyze the co-evolutionary mechanisms and micro-level decision thresholds through which IP protection facilitates green technological innovation and energy transition. The results indicate that achieving a desirable equilibrium of effective protection, active innovation, and accelerated transition relies on the coordinated implementation of three policy instruments: IP protection, innovation subsidies, and environmental regulation. The absence or misalignment of any policy tool may lead the system to an undesirable equilibrium marked by transition stagnation. An optimal threshold for IP enforcement intensity is identified. This threshold is negatively correlated with enforcement costs at the institutional level but positively correlated with the economic benefits and life cycle of green technologies at the technological level. The follower firm exhibits the slowest innovation response, and its sustained innovation depends on a compensatory policy mix that combines IP enforcement with innovation subsidies. While higher prices for green technologies incentivize R&D, they also hinder diffusion. This study fills a theoretical gap in the literature concerning the multi-agent interaction mechanisms guiding energy transition through innovation institutions and provides a theoretical foundation for constructing a green-oriented IP policy system. • Proposes a novel evolutionary game model of heterogeneous firms under IP protection to unravel the co-evolution of green innovation and energy transition. • Reveals that effective IP-subsidy-regulation policy coordination is essential to achieve an ideal triple equilibrium. • Identifies an optimal IP enforcement threshold, trading off institutional costs against technological benefits. • Uncovers the slowest innovation response in follower firms, requiring IP-subsidy policy compensation. • Exposes the innovation-diffusion paradox of green technologies: high prices spur R&D but curb adoption.

Energy EconomicsVol. 151
Nanyang Institute of Technology (CN), Zhejiang Gongshang University (CN)
Openalex Percentile: Top 3%
Innovation Diffusion and Forecasting
6.32
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