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      Does Fear of the New Coronavirus Lead to Low-Carbon Behaviors: The Moderating Effect of Outcome Framing

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          Abstract

          Purpose

          Air pollution has been found to aggravate the infection and mortality of COVID-19, leading to increasing attention on pro-environmental behaviors. Considering individuals’ psychological distance from COVID-19, this research aims to examine the relationship between fear of COVID-19, air pollution concern, and low-carbon behaviors.

          Methods

          Two survey-based studies were conducted in this research. Study 1 consisted of 323 participants and examined the relationships between psychological distance (PD) from COVID-19, fear of COVID-19, air pollution concern, and low-carbon behaviors. Study 2 identified the moderating effect of outcome framing using an intergroup experiment in which 304 participants were randomly assigned to two groups (gain framing vs loss framing).

          Results

          The results of Study 1 showed that the closer the PD was, the higher the fear was. Fear of COVID-19 and low-carbon behaviors were positively associated. Additionally, air pollution concern acted as a mediator in their relationship. The results of the moderating effect test in Study 2 showed that fear and air pollution concern led to higher low-carbon behavioral intention within gain framing than within loss framing.

          Conclusion

          This research revealed that personal fear of public health emergencies will lead to environmental pollution concern and pro-environmental behaviors, and information from the outside plays a moderating role. The results provide implications for policy advocacy of the health and environmental sectors and for guiding people’s low-carbon behaviors.

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          Most cited references86

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          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
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            Organizational Behavior and Human Decision Processes, 50(2), 179-211
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              Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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                Author and article information

                Journal
                Risk Manag Healthc Policy
                Risk Manag Healthc Policy
                rmhp
                Risk Management and Healthcare Policy
                Dove
                1179-1594
                07 October 2021
                2021
                : 14
                : 4185-4197
                Affiliations
                [1 ]School of Management, Fudan University , Shanghai, People’s Republic of China
                [2 ]College of Economics and Management, Nanjing University of Aeronautics and Astronautics , Nanjing, Jiangsu, People’s Republic of China
                [3 ]School of Economics & Management, Southeast University , Nanjing, Jiangsu, People’s Republic of China
                Author notes
                Correspondence: Wenlong Liu Email willenliu@nuaa.edu.cn
                Author information
                http://orcid.org/0000-0001-8605-8622
                Article
                320241
                10.2147/RMHP.S320241
                8504551
                34675713
                6fc54512-d71e-4273-88a1-5c3737bed238
                © 2021 Liu et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 17 May 2021
                : 29 August 2021
                Page count
                Figures: 3, Tables: 18, References: 89, Pages: 13
                Categories
                Original Research

                Social policy & Welfare
                covid-19,psychological distance,fear,air pollution concern,low-carbon behavior,outcome framing

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