Blockchain Subsidy Strategies for Low-Carbon Supply Chains Considering the Degree of Technology Trust and On-Chain Data Quality.
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| Title: | Blockchain Subsidy Strategies for Low-Carbon Supply Chains Considering the Degree of Technology Trust and On-Chain Data Quality. |
|---|---|
| Authors: | Liu, Pan1 yczhangfengjie@163.com, Wang, Tiantian1 w212251@163.com, Zhang, Fengjie2 hnycliupan@163.com, Wang, Jianhua3 janewang_65@aliyun.com |
| Source: | IAENG International Journal of Applied Mathematics. Jun2026, Vol. 56 Issue 6, p2086-2098. 13p. |
| Subjects: | Subsidies, Data quality, Trust, Supply chains, Blockchains, Government policy, Game theory, Supply chain management |
| Abstract: | In order to study the impact of the degree of technology trust and the on-chain data quality on the blockchain subsidy strategy of low-carbon supply chain, this paper chooses the supply chain composed of low-carbon product manufacturers and retailers as the research object, refines and constructs a manufacturer-dominated Stackelberg game model under the three investment subsidy modes, and obtains the following research results by comparing and analyzing the supply chain's benefits under the three modes. 1) When the cost of blockchain technology implementation falls within a certain range, it is feasible for governments to subsidize blockchain adoption by supply chain members, otherwise, it is not feasible; 2) When supply chain members all execute high-quality type of on-chain data decisions, both supply chain members and the government can maximize their benefits; 3) As consumers' technological trust improves, they tend to be more cautious in their product choices, and the supply chain members' choice of applying the blockchain technology can mitigate the decline in demand caused by reduced consumer trust in technology. This study provides management insights for governments designing targeted subsidy policies and enterprises formulating high-quality data collaboration strategies. [ABSTRACT FROM AUTHOR] |
| Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) 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: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 194195898 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Blockchain Subsidy Strategies for Low-Carbon Supply Chains Considering the Degree of Technology Trust and On-Chain Data Quality. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Liu%2C+Pan%22">Liu, Pan</searchLink><relatesTo>1</relatesTo><i> yczhangfengjie@163.com</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Tiantian%22">Wang, Tiantian</searchLink><relatesTo>1</relatesTo><i> w212251@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Fengjie%22">Zhang, Fengjie</searchLink><relatesTo>2</relatesTo><i> hnycliupan@163.com</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Jianhua%22">Wang, Jianhua</searchLink><relatesTo>3</relatesTo><i> janewang_65@aliyun.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Applied+Mathematics%22">IAENG International Journal of Applied Mathematics</searchLink>. Jun2026, Vol. 56 Issue 6, p2086-2098. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Subsidies%22">Subsidies</searchLink><br /><searchLink fieldCode="DE" term="%22Data+quality%22">Data quality</searchLink><br /><searchLink fieldCode="DE" term="%22Trust%22">Trust</searchLink><br /><searchLink fieldCode="DE" term="%22Supply+chains%22">Supply chains</searchLink><br /><searchLink fieldCode="DE" term="%22Blockchains%22">Blockchains</searchLink><br /><searchLink fieldCode="DE" term="%22Government+policy%22">Government policy</searchLink><br /><searchLink fieldCode="DE" term="%22Game+theory%22">Game theory</searchLink><br /><searchLink fieldCode="DE" term="%22Supply+chain+management%22">Supply chain management</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In order to study the impact of the degree of technology trust and the on-chain data quality on the blockchain subsidy strategy of low-carbon supply chain, this paper chooses the supply chain composed of low-carbon product manufacturers and retailers as the research object, refines and constructs a manufacturer-dominated Stackelberg game model under the three investment subsidy modes, and obtains the following research results by comparing and analyzing the supply chain's benefits under the three modes. 1) When the cost of blockchain technology implementation falls within a certain range, it is feasible for governments to subsidize blockchain adoption by supply chain members, otherwise, it is not feasible; 2) When supply chain members all execute high-quality type of on-chain data decisions, both supply chain members and the government can maximize their benefits; 3) As consumers' technological trust improves, they tend to be more cautious in their product choices, and the supply chain members' choice of applying the blockchain technology can mitigate the decline in demand caused by reduced consumer trust in technology. This study provides management insights for governments designing targeted subsidy policies and enterprises formulating high-quality data collaboration strategies. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) 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: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 2086 Subjects: – SubjectFull: Subsidies Type: general – SubjectFull: Data quality Type: general – SubjectFull: Trust Type: general – SubjectFull: Supply chains Type: general – SubjectFull: Blockchains Type: general – SubjectFull: Government policy Type: general – SubjectFull: Game theory Type: general – SubjectFull: Supply chain management Type: general Titles: – TitleFull: Blockchain Subsidy Strategies for Low-Carbon Supply Chains Considering the Degree of Technology Trust and On-Chain Data Quality. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu, Pan – PersonEntity: Name: NameFull: Wang, Tiantian – PersonEntity: Name: NameFull: Zhang, Fengjie – PersonEntity: Name: NameFull: Wang, Jianhua IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19929978 Numbering: – Type: volume Value: 56 – Type: issue Value: 6 Titles: – TitleFull: IAENG International Journal of Applied Mathematics Type: main |
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