Extending the theory of planned behavior to predict public participation behavior in air pollution control: Beijing, China

Xu, Zhihua; Shan, Jingzhu; Li, Jingmei; Zhang, Wensi

doi:10.1080/09640568.2019.1603821

Cited by 38 publications

(14 citation statements)

References 63 publications

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“…The second explanation attributes this issue to lower awareness of PPEB based on the theory of planned behavior (TPB), whereby individuals don't act 100% voluntarily, but rather in response to certain influences, and normative activation theory (NAT), which holds that behavior can be predicted based on personal norms and societal duties. (Ru et al, 2019;Xu et al, 2020). The third argues that economic growth in a country accompanies environmental pollution, and particularly in developing countries (Liu et al, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of public participation in environmental behavior on haze pollution and public health in China

Zhang

et al. 2021

Economic Modelling

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Section: Literature Reviewmentioning

confidence: 99%

The impact of public participation in environmental behavior on haze pollution and public health in China

Zhang

et al. 2021

Economic Modelling

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“…The most prominent motivations to participate seems to be an enthusiasm for the goals of the project (Brandeis and Carrera Zamanillo 2017;Church et al 2019;Roy et al 2012;Van Brussel and Huyse 2019;Wright et al 2015), involvement in the scientific process and the mere joy of, or love for, nature (Roy et al 2012;Wright et al 2015). On the same notion, a study on participant behavior found that risk perception had a positive impact on participation intention and behavior (Xu et al 2020). Research comparing two communities using IoT-enabled participatory sensing tools found that supporting meaningful participation by, for example, feeling responsible for the data, being able to envision collective action (i.e.…”

Section: Engaging and Empowering Volunteersmentioning

confidence: 99%

Behind the scenes of planning for public participation: planning for air-quality monitoring with low-cost sensors

Ekman

Weilenmann

2020

Journal of Environmental Planning and Management

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We report from an environmental monitoring project planning for public participation to evaluate low-cost air pollution sensors. With an ethnographic approach, we studied how challenges were expressed and negotiated in discussions among project members when planning to involve the public in monitoring with low-cost sensors. Data was collected through participant observation of project meetings. Our analysis shows that perceived challenges involve data quality (i.e. reliability and validity), support, creating a sense of ownership and trust, as well as how to handle a possible rearrangement of power between authorities and the public. In order for the project to have control over different parts of the process when planning for public participation, they cannot stay true to all of the goals. This study contributes to the understanding of factors that foster the use of community-based data, and on the barriers for engaging the public in policy issues.

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“…The theory of planned behavior (TPB) links beliefs to behavior and has mainly been applied in research on behaviors related to protection of health and environment (Ajzen, 1991 ; Armitage and Conner, 2001 ; Xu et al, 2020 ). Although TPB has been criticized (Sniehotta et al, 2014 ), it is still in use and for instance recently proved successful in predicting participants' willingness to self-isolate during a hypothetical pandemic in China (data collected before the outbreak of COVID-19) (Zhang et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

What Should I Trust? Individual Differences in Attitudes to Conflicting Information and Misinformation on COVID-19

et al. 2021

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The COVID-19 pandemic constitutes a novel threat and traditional and new media provide people with an abundance of information and misinformation on the topic. In the current study, we investigated who tends to trust what type of mis/information. The data were collected in Norway from a sample of 405 participants during the first wave of COVID-19 in April 2020. We focused on three kinds of belief: the belief that the threat is overrated (COVID-threat skepticism), the belief that the threat is underrated (COVID-threat belief) and belief in misinformation about COVID-19. We studied sociodemographic factors associated with these beliefs and the interplay between attitudes to COVID-19, media consumption and prevention behavior. All three types of belief were associated with distrust in information about COVID-19 provided by traditional media and distrust in the authorities' approach to the pandemic. COVID-threat skepticism was associated with male gender, reduced news consumption since the start of the pandemic and lower levels of precautionary measures. Belief that the COVID-19 threat is underrated was associated with younger age, left-wing political orientation, increased news consumption during the pandemic and increased precautionary behavior. Consistent with the assumptions of the theory of planned behavior, individual beliefs about the seriousness of the COVID-19 threat predicted the extent to which individual participants adopted precautionary health measures. Both COVID-threat skepticism and COVID-threat belief were associated with endorsement of misinformation on COVID-19. Participants who endorsed misinformation tended to: have lower levels of education; be male; show decreased news consumption; have high Internet use and high trust in information provided by social media. Additionally, they tended to endorse multiple misinformation stories simultaneously, even when they were mutually contradictory. The strongest predictor for low compliance with precautionary measures was endorsement of a belief that the COVID-19 threat is overrated which at the time of the data collection was held also by some experts and featured in traditional media. The findings stress the importance of consistency of communication in situations of a public health threat.

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Extending the theory of planned behavior to predict public participation behavior in air pollution control: Beijing, China

Cited by 38 publications

References 63 publications

The impact of public participation in environmental behavior on haze pollution and public health in China

The impact of public participation in environmental behavior on haze pollution and public health in China

Behind the scenes of planning for public participation: planning for air-quality monitoring with low-cost sensors

What Should I Trust? Individual Differences in Attitudes to Conflicting Information and Misinformation on COVID-19

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