Research on government carbon allowance allocation mechanism from the perspective of the differential game.
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| Title: | Research on government carbon allowance allocation mechanism from the perspective of the differential game. |
|---|---|
| Authors: | Zheng, Jialin1 (AUTHOR), Bo, Yu2 (AUTHOR) boyu@mail.iap.ac.cn, Wang, Yubo3 (AUTHOR), Liu, Guixian4 (AUTHOR), Lu, Xi1,5 (AUTHOR), He, Kebin1,5 (AUTHOR) |
| Source: | Clean Technologies & Environmental Policy. Apr2026, Vol. 28 Issue 4, p1-21. 21p. |
| Subject Terms: | *Carbon emissions, *Emissions (Air pollution), *Carbon credits, Differential games, Optimal control theory, Government policy, Benchmarking (Management) |
| Abstract: | We establish two long-term dynamic optimization differential game models between the government and industry based on grandfathering and benchmarking allocation methods of carbon emission allowance. Consequently, we derive the optimal trajectory of the carbon emission stock in the environment and the government and industry's optimal strategic path evolutions over the long term. Through analysis, we discover that when external carbon allowances are provided, carbon emissions are lower under the benchmarking scenario than carbon emissions under the grandfathering allocation scenario. However, when the government acts as a leader, the optimal strategic paths for industry output and the optimal trajectory of carbon emission stock are consistent under both grandfathering and benchmarking allocation methods. Thus, a policymaker can combine the carbon emission stock target at the end of a certain period with the trajectory of carbon emission stock to deduce the carbon emission quotas allocated to different industries during that period and then deduce the optimal production strategies of industries in the corresponding period. Based on the equilibrium solution of the differential game, this research can serve as a theoretical reference for establishing the initial carbon emission quotas across different industries. [ABSTRACT FROM AUTHOR] |
| Copyright of Clean Technologies & Environmental Policy is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | GreenFILE |
| FullText | Text: Availability: 0 |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 192012029 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Research on government carbon allowance allocation mechanism from the perspective of the differential game. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zheng%2C+Jialin%22">Zheng, Jialin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bo%2C+Yu%22">Bo, Yu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> boyu@mail.iap.ac.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Yubo%22">Wang, Yubo</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Guixian%22">Liu, Guixian</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Xi%22">Lu, Xi</searchLink><relatesTo>1,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22He%2C+Kebin%22">He, Kebin</searchLink><relatesTo>1,5</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Clean+Technologies+%26+Environmental+Policy%22">Clean Technologies & Environmental Policy</searchLink>. Apr2026, Vol. 28 Issue 4, p1-21. 21p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Carbon+emissions%22">Carbon emissions</searchLink><br />*<searchLink fieldCode="DE" term="%22Emissions+%28Air+pollution%29%22">Emissions (Air pollution)</searchLink><br />*<searchLink fieldCode="DE" term="%22Carbon+credits%22">Carbon credits</searchLink><br /><searchLink fieldCode="DE" term="%22Differential+games%22">Differential games</searchLink><br /><searchLink fieldCode="DE" term="%22Optimal+control+theory%22">Optimal control theory</searchLink><br /><searchLink fieldCode="DE" term="%22Government+policy%22">Government policy</searchLink><br /><searchLink fieldCode="DE" term="%22Benchmarking+%28Management%29%22">Benchmarking (Management)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We establish two long-term dynamic optimization differential game models between the government and industry based on grandfathering and benchmarking allocation methods of carbon emission allowance. Consequently, we derive the optimal trajectory of the carbon emission stock in the environment and the government and industry's optimal strategic path evolutions over the long term. Through analysis, we discover that when external carbon allowances are provided, carbon emissions are lower under the benchmarking scenario than carbon emissions under the grandfathering allocation scenario. However, when the government acts as a leader, the optimal strategic paths for industry output and the optimal trajectory of carbon emission stock are consistent under both grandfathering and benchmarking allocation methods. Thus, a policymaker can combine the carbon emission stock target at the end of a certain period with the trajectory of carbon emission stock to deduce the carbon emission quotas allocated to different industries during that period and then deduce the optimal production strategies of industries in the corresponding period. Based on the equilibrium solution of the differential game, this research can serve as a theoretical reference for establishing the initial carbon emission quotas across different industries. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Clean Technologies & Environmental Policy is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10098-026-03448-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1 Subjects: – SubjectFull: Carbon emissions Type: general – SubjectFull: Emissions (Air pollution) Type: general – SubjectFull: Carbon credits Type: general – SubjectFull: Differential games Type: general – SubjectFull: Optimal control theory Type: general – SubjectFull: Government policy Type: general – SubjectFull: Benchmarking (Management) Type: general Titles: – TitleFull: Research on government carbon allowance allocation mechanism from the perspective of the differential game. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zheng, Jialin – PersonEntity: Name: NameFull: Bo, Yu – PersonEntity: Name: NameFull: Wang, Yubo – PersonEntity: Name: NameFull: Liu, Guixian – PersonEntity: Name: NameFull: Lu, Xi – PersonEntity: Name: NameFull: He, Kebin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1618954X Numbering: – Type: volume Value: 28 – Type: issue Value: 4 Titles: – TitleFull: Clean Technologies & Environmental Policy Type: main |
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