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Research articles

Impact of information processing on individuals’ intentions toward reducing PM2.5: evidence from Hefei City, China

, &
Pages 1622-1639 | Received 22 Aug 2021, Accepted 04 Jan 2022, Published online: 08 Mar 2022
 

Abstract

Fine particulate matter (PM2.5) is the main pollutant particle of smog pollution. Public PM2.5-reduction behavior is beneficial and important to the reduction of smog emissions. The article aims to investigate the influencing factors of the intention for individuals’ PM2.5-reduction. A conceptual model was proposed from the perspective of the protection behavior decision model and the heuristic-systematic information processing model. A random questionnaire survey was conducted in Hefei City, China. Results suggest that risk perception is a positive determinant of PM2.5-reduction intention, information insufficiency, and information-seeking intention. Information insufficiency positively determines systematic processing and information-seeking intention but fails to influence heuristic processing. Information-seeking intention is positively correlated with systematic processing and heuristic processing. Systematic processing positively determines PM2.5-reduction intention. However, the results suggest that heuristic processing has no significant effect on PM2.5-reduction intention. The findings of this study provide practical implications for enhancing individuals’ PM2.5-reduction intention.

Author contributions

Weiwei Zhu: Conceptualization, Methodology, Software, Data curation, Writing – Original draft preparation, Software, Validation, Writing – Reviewing and Editing.

Tingting Wu: Methodology, Software, Investigation, Data curation.

Chuanhui Liao: Conceptualization, Visualization, Investigation, Supervision, Writing – Reviewing and Editing.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research was financially supported by National Social Science Foundation of China [Grant No. 17CGL046].

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