Searching for Evidence-Based Public Policy and Practice: Analysis of the Determinants of Personal/Public Adaptation and Mitigation Behavior against Particulate Matter by Focusing on the Roles of Risk Perception, Communication, and Attribution Factors
In recent years, awareness about the risk of particulate matter (PM) has increased both domestically and internationally; consequently, various policies have been implemented to reduce PM. Since citizens are both victim and cause of this risk, PM cannot be successfully decreased only through governm...
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Veröffentlicht in: | International journal of environmental research and public health 2021-01, Vol.18 (2), p.428 |
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description | In recent years, awareness about the risk of particulate matter (PM) has increased both domestically and internationally; consequently, various policies have been implemented to reduce PM. Since citizens are both victim and cause of this risk, PM cannot be successfully decreased only through government policies. Therefore, citizens' active participation is required to reduce PM and prevent its risks. However, a theoretical model about public behavior against PM has not been established. Therefore, we suggest the public behavior model about individuals' response against PM, in which response actions are classified into four types based on the combinations of the public-personal domains and mitigation-adaptation actions: Personal or public adaptations, and personal or public mitigations. We analyze how risk perception, risk communication, blame attribution factors influence the four types of responses against PM. The analysis results reveal that the receiver's ability, negative emotion, trust in government, and age influence personal mitigation behavior, personal adaptation, public mitigation, and public adaptation, respectively. As this study demonstrates the differences in the factors influencing each type of response actions against PM, evidence-based policy is needed that considers the differences in these influencing factors. |
doi_str_mv | 10.3390/ijerph18020428 |
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Since citizens are both victim and cause of this risk, PM cannot be successfully decreased only through government policies. Therefore, citizens' active participation is required to reduce PM and prevent its risks. However, a theoretical model about public behavior against PM has not been established. Therefore, we suggest the public behavior model about individuals' response against PM, in which response actions are classified into four types based on the combinations of the public-personal domains and mitigation-adaptation actions: Personal or public adaptations, and personal or public mitigations. We analyze how risk perception, risk communication, blame attribution factors influence the four types of responses against PM. The analysis results reveal that the receiver's ability, negative emotion, trust in government, and age influence personal mitigation behavior, personal adaptation, public mitigation, and public adaptation, respectively. As this study demonstrates the differences in the factors influencing each type of response actions against PM, evidence-based policy is needed that considers the differences in these influencing factors.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph18020428</identifier><identifier>PMID: 33430400</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adaptation ; Air Pollutants - analysis ; Air pollution ; Behavior ; Climate change ; Communication ; Government ; Health risk assessment ; Humans ; Hypotheses ; Influence ; Particulate emissions ; Particulate matter ; Particulate Matter - analysis ; Particulate Matter - toxicity ; Perception ; Perceptions ; Pollutants ; Public Policy ; Risk analysis ; Risk communication ; Risk perception ; Science ; Social sciences</subject><ispartof>International journal of environmental research and public health, 2021-01, Vol.18 (2), p.428</ispartof><rights>2021. 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Kim, Seoyong ; Hwang, Eunjung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c418t-c2a7b737a90b760c09e61d33a788d7bec96dcc207bb8fdd421c4cec8260fb4243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adaptation</topic><topic>Air Pollutants - analysis</topic><topic>Air pollution</topic><topic>Behavior</topic><topic>Climate change</topic><topic>Communication</topic><topic>Government</topic><topic>Health risk assessment</topic><topic>Humans</topic><topic>Hypotheses</topic><topic>Influence</topic><topic>Particulate emissions</topic><topic>Particulate matter</topic><topic>Particulate Matter - analysis</topic><topic>Particulate Matter - toxicity</topic><topic>Perception</topic><topic>Perceptions</topic><topic>Pollutants</topic><topic>Public Policy</topic><topic>Risk analysis</topic><topic>Risk communication</topic><topic>Risk perception</topic><topic>Science</topic><topic>Social sciences</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Geunsik</creatorcontrib><creatorcontrib>Kim, Seoyong</creatorcontrib><creatorcontrib>Hwang, Eunjung</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Geunsik</au><au>Kim, Seoyong</au><au>Hwang, Eunjung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Searching for Evidence-Based Public Policy and Practice: Analysis of the Determinants of Personal/Public Adaptation and Mitigation Behavior against Particulate Matter by Focusing on the Roles of Risk Perception, Communication, and Attribution Factors</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2021-01-07</date><risdate>2021</risdate><volume>18</volume><issue>2</issue><spage>428</spage><pages>428-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>In recent years, awareness about the risk of particulate matter (PM) has increased both domestically and internationally; consequently, various policies have been implemented to reduce PM. Since citizens are both victim and cause of this risk, PM cannot be successfully decreased only through government policies. Therefore, citizens' active participation is required to reduce PM and prevent its risks. However, a theoretical model about public behavior against PM has not been established. Therefore, we suggest the public behavior model about individuals' response against PM, in which response actions are classified into four types based on the combinations of the public-personal domains and mitigation-adaptation actions: Personal or public adaptations, and personal or public mitigations. We analyze how risk perception, risk communication, blame attribution factors influence the four types of responses against PM. The analysis results reveal that the receiver's ability, negative emotion, trust in government, and age influence personal mitigation behavior, personal adaptation, public mitigation, and public adaptation, respectively. As this study demonstrates the differences in the factors influencing each type of response actions against PM, evidence-based policy is needed that considers the differences in these influencing factors.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>33430400</pmid><doi>10.3390/ijerph18020428</doi><orcidid>https://orcid.org/0000-0002-4164-836X</orcidid><orcidid>https://orcid.org/0000-0002-5536-4907</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adaptation Air Pollutants - analysis Air pollution Behavior Climate change Communication Government Health risk assessment Humans Hypotheses Influence Particulate emissions Particulate matter Particulate Matter - analysis Particulate Matter - toxicity Perception Perceptions Pollutants Public Policy Risk analysis Risk communication Risk perception Science Social sciences |
title | Searching for Evidence-Based Public Policy and Practice: Analysis of the Determinants of Personal/Public Adaptation and Mitigation Behavior against Particulate Matter by Focusing on the Roles of Risk Perception, Communication, and Attribution Factors |
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