{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T08:51:21Z","timestamp":1768726281893,"version":"3.49.0"},"reference-count":27,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2022,7,29]],"date-time":"2022-07-29T00:00:00Z","timestamp":1659052800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Key Topics of Statistical Research of Guizhou Provincial Bureau of Statistics","award":["Z202201"],"award-info":[{"award-number":["Z202201"]}]},{"name":"Key Topics of Statistical Research of Guizhou Provincial Bureau of Statistics","award":["2020ZXSY10"],"award-info":[{"award-number":["2020ZXSY10"]}]},{"name":"the Current Student Research Funding Project of Guizhou University of Finance and Economics","award":["Z202201"],"award-info":[{"award-number":["Z202201"]}]},{"name":"the Current Student Research Funding Project of Guizhou University of Finance and Economics","award":["2020ZXSY10"],"award-info":[{"award-number":["2020ZXSY10"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>This paper uses the entropy method to estimate China\u2019s green financial development from four aspects, namely, green credit, green securities, green insurance, and green investment, based on the provincial-level panel data from 2008 to 2019. The spatial Durbin model (SDM) is adopted to estimate the spatial effect of green finance on carbon emissions. We then compare the heterogeneous effect in the South and North of China. The results show that China\u2019s green financial development can significantly reduce carbon emissions, and regional heterogeneities are obvious. In the South of China, this effect from local and adjacent regions is not significant, while on the whole, green finance can significantly reduce carbon emissions; but for Northern China, this effect is not significant; nationally, the development of green finance and carbon emissions in adjacent areas showed an inverted U-shaped relationship. China\u2019s green financial development and carbon emissions also showed an inverted U-shaped relationship. These results suggest that the effect of green finance development on carbon emissions exhibits substantial regional heterogeneity in China. Our paper provides some concrete empirical evidence for policymakers to formulate green financial policies to achieve the double carbon goal in China.<\/jats:p>","DOI":"10.3390\/e24081042","type":"journal-article","created":{"date-parts":[[2022,7,28]],"date-time":"2022-07-28T22:43:26Z","timestamp":1659048206000},"page":"1042","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["The Spatial Heterogeneity Effect of Green Finance Development on Carbon Emissions"],"prefix":"10.3390","volume":"24","author":[{"given":"Langang","family":"Feng","sequence":"first","affiliation":[{"name":"Guizhou Key Laboratory of Big Data Statistics and Analysis, Guizhou University of Finance and Economics, Guiyang 550025, China"},{"name":"School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang 550025, China"}]},{"given":"Shu","family":"Shang","sequence":"additional","affiliation":[{"name":"School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang 550025, China"}]},{"given":"Sufang","family":"An","sequence":"additional","affiliation":[{"name":"College of Information and Engineering, Hebei GEO University, Shijiazhuang 050031, China"},{"name":"Intelligent Sensor Network Engineering Research Center of Hebei Province, Shijiazhuang 050031, China"}]},{"given":"Wenli","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang 550025, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Zhu, J., Sun, H., Liu, N., Zhou, D., and Taghizadeh-Hesary, F. 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