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      The effect of haze pollution on insurance development: Evidence from 268 prefecture-level cities in China

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          Abstract

          The relationship between haze pollution and insurance development is investigated based on the concentration of PM 2.5 of 268 Chinese cities during 2009~2018. Subsequently, the effect of haze pollution on the development of insurance and the underlying mechanisms are also explored. The regional governance of haze pollution and its impact on insurance development is estimated by using a unified framework of two-stage least squares. The machine learning method-elastic network is adopted to filter the control variables and avoid multi-collinearity. The results show that haze pollution has an adverse effect on the insurance development through two important underlying mechanisms, residents’ emotions and economic development. Haze pollution affects residents’ emotions, and the impact coefficient is approximately equal to -0.18, which further inhibits residents’ participation in insurance. Moreover, pollution restricts residents’ budgets by hindering economic development, the impact coefficient is about -0.07, thus, the development of insurance is suppressed. These two negative effects exhibit regional variations, which gradually attenuate from eastern, western to the Chinese central region. The regional governance has a positive effect on haze pollution with the coefficient of -0.07, while impact coefficient of haze pollution on insurance development decreases to -0.02. The policy implication is that government supervision can formulate reasonable environmental and insurance policies based on the heterogeneity of regional development to alleviate haze pollution and promote insurance development.

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: Writing – original draftRole: Writing – review & editing
                Role: Funding acquisitionRole: Supervision
                Role: Funding acquisitionRole: SupervisionRole: Writing – review & editing
                Role: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                28 April 2022
                2022
                : 17
                : 4
                : e0267830
                Affiliations
                [1 ] School of Economics and Business Administration, Chongqing University, Chongqing, China
                [2 ] Department of Statistics and Actuarial Science, College of Mathematics and Statistics, Chongqing University, Chongqing, China
                Sun Yat-Sen University, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-9177-5140
                Article
                PONE-D-21-24645
                10.1371/journal.pone.0267830
                9049571
                35482737
                a546d17e-c67c-4ab5-83ab-9a110c67fc7f
                © 2022 Chang et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 14 August 2021
                : 16 April 2022
                Page count
                Figures: 8, Tables: 7, Pages: 18
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100012226, Fundamental Research Funds for the Central Universities;
                Award ID: 106112017CDJXY020005
                Award Recipient :
                Funded by: University Innovation Team Building Plan of Chongqing
                Award ID: CXTDX201601007
                Award Recipient :
                Funded by: National Science Foundation of China
                Award ID: 12001068
                Award Recipient :
                This study was supported by Fundamental Research Funds for the Central Universities (106112017CDJXY020005), University Innovation Team Building Plan of Chongqing (CXTDX201601007), National Science Foundation of China (12001068).
                Categories
                Research Article
                Engineering and Technology
                Management Engineering
                Risk Management
                Insurance
                Ecology and Environmental Sciences
                Pollution
                Ecology and Environmental Sciences
                Pollution
                Air Pollution
                Social Sciences
                Economics
                Development Economics
                Economic Development
                Social Sciences
                Economics
                Health Economics
                Health Insurance
                Medicine and Health Sciences
                Health Care
                Health Economics
                Health Insurance
                Earth Sciences
                Geography
                Human Geography
                Urban Geography
                Cities
                Social Sciences
                Human Geography
                Urban Geography
                Cities
                Biology and Life Sciences
                Psychology
                Emotions
                Social Sciences
                Psychology
                Emotions
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Instrumental Variable Analysis
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Instrumental Variable Analysis
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

                Uncategorized
                Uncategorized

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