Low-carbon technology adoption and diffusion with heterogeneity in the emissions trading scheme
Rongqi Zhu,
Yigang Wei and
Longyan Tan
Applied Energy, 2024, vol. 369, issue C, No S0306261924009206
Abstract:
Technological change represents a fundamental means to achieve carbon neutrality. However, considering the dual externalities of low-carbon technologies (LCTs), timely and appropriate government intervention is imperative. This study explores the mechanisms and trajectories of low-carbon technology adoption and diffusion in the emission trading scheme (ETS). The proposed agent-based model, using the most recent data from 1057 thermal power firms, created a virtual ETS operation, especially considered the complexities, including various abatement options, heterogeneity among firms and technologies and different trading strategies. The results show that the firms prefer to adopt LCTs with low abatement cost, rather than those with high abatement potential. Meanwhile, the strength of ETS mechanisms is positively correlated with the diffusion of LCTs. This study overcomes the limitations of previous macroscopic studies that fail to explain the diffusion of specific technologies and examines for the first time the dynamic diffusion trends of LCTs with different mechanism designs.
Keywords: Emissions trading scheme; Diffusion of low-carbon technologies; Behavioural decision-making; Mechanism design; Heterogeneity (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261924009206
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:369:y:2024:i:c:s0306261924009206
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2024.123537
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().