Impact of low carbon orientation on green finance in highly polluted areas based on STIRPAT spatial panel model
Abstract In the context of the current global economic transformation, the integration of low-carbon economy and green finance has become a core issue in promoting sustainable development. This study focuses on the development of low-carbon finance in high pollution areas and explores its promoting...
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-04647-4 |
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| author | Yunyan Yang |
| author_facet | Yunyan Yang |
| author_sort | Yunyan Yang |
| collection | DOAJ |
| description | Abstract In the context of the current global economic transformation, the integration of low-carbon economy and green finance has become a core issue in promoting sustainable development. This study focuses on the development of low-carbon finance in high pollution areas and explores its promoting effect on green finance. This study aims to analyze the impact of low-carbon orientation on green finance, clarify the intrinsic relationship between the two, and provide strategic recommendations for the development of low-carbon emission reduction finance in high pollution areas. To achieve the research objectives, this study used a random effects regression model and a spatial panel data model to conduct in-depth analysis of the carbon emission index in high pollution areas. The research results show that the Geary carbon emission C index in high pollution areas is significantly less than 0, indicating a negative correlation between carbon emissions and spatial distribution. The parameter values for financial scale and efficiency are 0.2031, 0.1125 and − 0.0089, 0.5365, respectively, while the parameter values for green finance are − 0.4154 and 0.0176. These data indicate that low-carbon policies have a significant promoting effect on green finance. The findings of this study have important practical significance for the development of green finance in high pollution areas. Given that green finance in the region is still in its infancy, research suggests further implementation of low-carbon emission reduction policies to promote the healthy growth of green finance and achieve dual benefits of economy and environment. |
| format | Article |
| id | doaj-art-bed5047e8131413d8735fc6e6daef694 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-bed5047e8131413d8735fc6e6daef6942025-08-20T04:01:41ZengNature PortfolioScientific Reports2045-23222025-07-0115111910.1038/s41598-025-04647-4Impact of low carbon orientation on green finance in highly polluted areas based on STIRPAT spatial panel modelYunyan Yang0School of Finance, Tongling UniversityAbstract In the context of the current global economic transformation, the integration of low-carbon economy and green finance has become a core issue in promoting sustainable development. This study focuses on the development of low-carbon finance in high pollution areas and explores its promoting effect on green finance. This study aims to analyze the impact of low-carbon orientation on green finance, clarify the intrinsic relationship between the two, and provide strategic recommendations for the development of low-carbon emission reduction finance in high pollution areas. To achieve the research objectives, this study used a random effects regression model and a spatial panel data model to conduct in-depth analysis of the carbon emission index in high pollution areas. The research results show that the Geary carbon emission C index in high pollution areas is significantly less than 0, indicating a negative correlation between carbon emissions and spatial distribution. The parameter values for financial scale and efficiency are 0.2031, 0.1125 and − 0.0089, 0.5365, respectively, while the parameter values for green finance are − 0.4154 and 0.0176. These data indicate that low-carbon policies have a significant promoting effect on green finance. The findings of this study have important practical significance for the development of green finance in high pollution areas. Given that green finance in the region is still in its infancy, research suggests further implementation of low-carbon emission reduction policies to promote the healthy growth of green finance and achieve dual benefits of economy and environment.https://doi.org/10.1038/s41598-025-04647-4STIRPAT modelSpatial panel dataLow carbon orientationGreen finance |
| spellingShingle | Yunyan Yang Impact of low carbon orientation on green finance in highly polluted areas based on STIRPAT spatial panel model Scientific Reports STIRPAT model Spatial panel data Low carbon orientation Green finance |
| title | Impact of low carbon orientation on green finance in highly polluted areas based on STIRPAT spatial panel model |
| title_full | Impact of low carbon orientation on green finance in highly polluted areas based on STIRPAT spatial panel model |
| title_fullStr | Impact of low carbon orientation on green finance in highly polluted areas based on STIRPAT spatial panel model |
| title_full_unstemmed | Impact of low carbon orientation on green finance in highly polluted areas based on STIRPAT spatial panel model |
| title_short | Impact of low carbon orientation on green finance in highly polluted areas based on STIRPAT spatial panel model |
| title_sort | impact of low carbon orientation on green finance in highly polluted areas based on stirpat spatial panel model |
| topic | STIRPAT model Spatial panel data Low carbon orientation Green finance |
| url | https://doi.org/10.1038/s41598-025-04647-4 |
| work_keys_str_mv | AT yunyanyang impactoflowcarbonorientationongreenfinanceinhighlypollutedareasbasedonstirpatspatialpanelmodel |