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      How can green credit decrease social health costs? The mediating effect of the environment

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          Abstract

          Green credit plays an important role in environmental protection and residents' health. This paper discusses the impact path of green credit on social health costs with the help of a quantile regression. The implementation of a green credit policy can decrease social health costs in China, and green credit works best in the economically developed Eastern region. As the quantile increases, so gradually does the absolute value of the green credit coefficient. This result proves that for provinces with rich per capita financial health expenditures, green credit plays a greater role in decreasing social costs, a conclusion also supported by our robustness test. In addition, we find that environmental pollution plays a mediating role in the path of green credit affecting health, and this finding is verified in the green credit and health general equilibrium model. Based on these findings, the government should encourage the active innovation of green credit products, and the banking industry should develop personalized green credit products for specific pollutant types or industries while decreasing government pressure.

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          Most cited references58

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          Regression Quantiles

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            Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium

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              The Lancet Commission on pollution and health

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                Author and article information

                Contributors
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                20 January 2023
                2023
                : 11
                : 1121154
                Affiliations
                School of Economics, Qingdao University, Qingdao , Shandong, China
                Author notes

                Edited by: Yingying Xu, Beihang University, China

                Reviewed by: Yifei Cai, Teesside University, United Kingdom; Giray Gozgor, Istanbul Medeniyet University, Türkiye; Umer Niaz, Punjab Group of Colleges, Pakistan

                *Correspondence: Jinyan Hu ✉ hwx@ 123456sdu.edu.cn

                This article was submitted to Health Economics, a section of the journal Frontiers in Public Health

                Article
                10.3389/fpubh.2023.1121154
                9895397
                36741947
                0b31f6e2-778e-4a58-a2ba-5d9cb4b45e24
                Copyright © 2023 Rong and Hu.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 11 December 2022
                : 04 January 2023
                Page count
                Figures: 1, Tables: 6, Equations: 14, References: 58, Pages: 11, Words: 8842
                Categories
                Public Health
                Original Research

                green credit,social health costs,environmental pollution,quantile regression (qr),mediating role

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