Unleashing the green potential: exploring the dynamic influence of the urban digital economy on carbon emissions
Abstract In the backdrop of “dual-carbon” strategic objectives, understanding the influence of the digital economy (DE) on carbon emissions (CEs) is imperative. However, there is limited research on the DE’s negative impact on CEs and the nonlinear relationship between the DE and CE. To address this...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-01-01
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| Series: | Financial Innovation |
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| Online Access: | https://doi.org/10.1186/s40854-024-00739-8 |
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| author | Xin Sun Xueyu Rui Zhikun Cui Farhad Taghizadeh-Hesary Xin Zhao |
| author_facet | Xin Sun Xueyu Rui Zhikun Cui Farhad Taghizadeh-Hesary Xin Zhao |
| author_sort | Xin Sun |
| collection | DOAJ |
| description | Abstract In the backdrop of “dual-carbon” strategic objectives, understanding the influence of the digital economy (DE) on carbon emissions (CEs) is imperative. However, there is limited research on the DE’s negative impact on CEs and the nonlinear relationship between the DE and CE. To address this gap, we collected data from 270 Chinese cities from 2011 to 2021 and used benchmark regression, mediated effects, and panel threshold models to explore the DE’s impact on CEs. The results showed that DE had a nonlinear, inverted U-shaped effect on CEs, with CEs initially increasing and then being suppressed. This conclusion remained consistent even after a series of robustness tests. Overall, the rate of urbanization and breadth of digital financial coverage mediate the relationship between the DE and CEs. Additionally, the combined effects of economic development, environmental regulation, fiscal decentralization, and population size contribute to the DE’s nonlinear impact on CEs. The impact of the DE on CEs varies among nonresource-based, resource-based, and resource-depleted cities and between urban and nonurban agglomerations. This paper’s findings support the development of the DE and the formulation of CE reduction policies. |
| format | Article |
| id | doaj-art-876732dc50ea416bbe359e419ac37124 |
| institution | Kabale University |
| issn | 2199-4730 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Financial Innovation |
| spelling | doaj-art-876732dc50ea416bbe359e419ac371242025-01-19T12:36:11ZengSpringerOpenFinancial Innovation2199-47302025-01-0111112210.1186/s40854-024-00739-8Unleashing the green potential: exploring the dynamic influence of the urban digital economy on carbon emissionsXin Sun0Xueyu Rui1Zhikun Cui2Farhad Taghizadeh-Hesary3Xin Zhao4School of Statistics & Applied Mathematics, Anhui University of Finance and EconomicsSchool of Statistics & Applied Mathematics, Anhui University of Finance and EconomicsSchool of Public Economics, Shanghai Customs CollegeTOKAI Research Institute for Environment and Sustainability (TRIES), Tokai UniversitySchool of Statistics & Applied Mathematics, Anhui University of Finance and EconomicsAbstract In the backdrop of “dual-carbon” strategic objectives, understanding the influence of the digital economy (DE) on carbon emissions (CEs) is imperative. However, there is limited research on the DE’s negative impact on CEs and the nonlinear relationship between the DE and CE. To address this gap, we collected data from 270 Chinese cities from 2011 to 2021 and used benchmark regression, mediated effects, and panel threshold models to explore the DE’s impact on CEs. The results showed that DE had a nonlinear, inverted U-shaped effect on CEs, with CEs initially increasing and then being suppressed. This conclusion remained consistent even after a series of robustness tests. Overall, the rate of urbanization and breadth of digital financial coverage mediate the relationship between the DE and CEs. Additionally, the combined effects of economic development, environmental regulation, fiscal decentralization, and population size contribute to the DE’s nonlinear impact on CEs. The impact of the DE on CEs varies among nonresource-based, resource-based, and resource-depleted cities and between urban and nonurban agglomerations. This paper’s findings support the development of the DE and the formulation of CE reduction policies.https://doi.org/10.1186/s40854-024-00739-8Digital economyCarbon emissionsNonlinear effectMediating effectPanel threshold model |
| spellingShingle | Xin Sun Xueyu Rui Zhikun Cui Farhad Taghizadeh-Hesary Xin Zhao Unleashing the green potential: exploring the dynamic influence of the urban digital economy on carbon emissions Financial Innovation Digital economy Carbon emissions Nonlinear effect Mediating effect Panel threshold model |
| title | Unleashing the green potential: exploring the dynamic influence of the urban digital economy on carbon emissions |
| title_full | Unleashing the green potential: exploring the dynamic influence of the urban digital economy on carbon emissions |
| title_fullStr | Unleashing the green potential: exploring the dynamic influence of the urban digital economy on carbon emissions |
| title_full_unstemmed | Unleashing the green potential: exploring the dynamic influence of the urban digital economy on carbon emissions |
| title_short | Unleashing the green potential: exploring the dynamic influence of the urban digital economy on carbon emissions |
| title_sort | unleashing the green potential exploring the dynamic influence of the urban digital economy on carbon emissions |
| topic | Digital economy Carbon emissions Nonlinear effect Mediating effect Panel threshold model |
| url | https://doi.org/10.1186/s40854-024-00739-8 |
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