Climate-change information, health-risk perception and residents’ environmental complaint behavior: an empirical study in China
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Motivating residents to deliver environmental complaints is beneficial for environmental authorities to help them manage environmental issues and alleviate the adverse effects caused by climate change. The major aim of the present study is to understand how climate-change information and residents’ health-risk perceptions (both physical and mental dimensions) affect residents’ environmental complaint behavior. The research framework was developed according to planned behavior theory, risk perception behavior and information behavior models. This framework was empirically assessed by employing questionnaire survey data gathered from 1273 respondents in China. The results indicate that climate-change information and residents’ health-risk perceptions have all significantly positive effects on residents’ attitudes toward environmental complaints and their intention to submit environmental complaints. Meanwhile, residents’ health-risk perception is also positively affected by climate-change information. Mental health-risk perception plays a much stronger role in determining a residents’ attitude and intention to submit an environmental complaint than does physical health-risk perception. Furthermore, attitude toward environmental complaint, perceived behavioral control and subjective norm all have significantly positive effects on a residents’ intention to submit an environmental complaint. Additionally, this study also addresses the intention–behavior gap and suggests a positive relationship between intention and behavior. The present study may provide some practical implications to motivate residents to submit environmental complaints.
KeywordsClimate-change information Health-risk perception Environmental complaint Theory of planned behavior Information behavior model
This work was supported by the National Natural Science Foundation of China (Grant Numbers 71804174, 71601174 and 71571172), China Postdoctoral Science Foundation (Grant Number 2018M632555), National Social Science Foundation of China (Grant Number 16CJL020), Fujian Fund of Soft Science Research (Grant Number 2017R0034) and Program for New Century Excellent Talents in Fujian Province University.
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