A Study on the Synergistic Effects of Media Coverage and Environmental Public Policies on Public Environmental Awareness and the Mechanism of Pro-environmental Behavioral Transformation
Abstract
Against the dual-carbon strategic background of China's ecological civilization construction, media coverage and environmental public policies jointly shape public environmental cognition. This paper adopts a mixed-methods design combining text content analysis with an offline questionnaire survey and builds on agenda-setting theory, the theory of planned behavior, and the social amplification of risk framework. Taking waste classification and air pollution governance as typical cases, it aims to explore how media reports and environmental policies synergistically influence public environmental awareness, and to unpack the internal psychological mechanism that transforms awareness into stable pro-environmental behavior. The findings indicate that media amplify environmental risk perception while policies provide institutional constraints and incentives, and that their joint effect significantly promotes public environmental participation. However, fragmented media narration and insufficient policy publicity tend to produce a disconnection between awareness and action. This study enriches the interdisciplinary framework of environmental communication and offers optimization suggestions for environmental governance publicity.
References
- Wang, Q., & Ding, N. N. (2016). The shaping path of internet media reports on public environmental literacy.Journal of Beijing Union University (Humanities and Social Sciences Edition), 14(3), 24-30.
- Zeng, F. X., & Chen, X. T. (2024). How media narratives of climate policy affect public environmental participation.Journalism & Communication, 31(5), 45-62.
- Zhou, Y. Q. (2019). The impact effect of environmental documentaries on public willingness to pay for environment—Taking Under the Dome as an example.Economic Sociological Research, (4), 112-130.
- Chen, S. (2022). Media exposure, policy perception and residents' low-carbon behavior—Empirical research based on theory of planned behavior.China Population, Resources and Environment, 32(8), 142-151.
- Guo, R. (2024). Environmental concern, policy cognition and differences in farmers' environmental behaviors.Journal of Beijing Forestry University (Social Sciences), 23(2), 67-75.
- Li, C., Ruan, S. T., Niu, Y. T., et al. (2025). The impact mechanism of media use on the green and low carbon consumption behavior of China: Integrating planned behavior theory and social cognitive theory.Scientific Reports, 15(1), 29944.
- Wang, H., & Liu, M. (2024). How environmental policy perception and social media use impact pro-environmental behavior: A moderated mediation model.Sustainability, 16(17), 7587.
- McCombs, M. E., & Shaw, D. L. (1972). The agenda-setting function of mass media.Public Opinion Quarterly, 36(2), 176–187.
- Ajzen, I. (1991). The theory of planned behavior.Organizational Behavior and Human Decision Processes, 50(2), 179–211.
- Kasperson, R. E., Renn, O., Slovic, P., et al. (1988). The social amplification of risk: A conceptual framework.Risk Analysis, 8(2), 177–187.
- Liu, Y. (2025). The impact of social media environmental reports on public behavioral intentions from the perspective of risk amplification.Journal of Intelligence, 44(3), 89–97.
- Zhang, Z. (2023). Research on new media mobilization mechanism of waste classification policy.Journalism and Communication Review, (6), 78–96.
- Li, J. (2021). Research on the coordination mechanism between government media and commercial media in environmental policy communication.Modern Communication (Journal of Communication University of China), 43(11), 135–140.
- Hwang, H., Kim, K., & Lee, C. J. (2025). Psychological mechanisms linking online media exposure to policy support and environmental mitigation behavior.Risk Analysis, 45(5), 1–20.
- Chen, Y. X., Tang, H. T., & Lian, Y. (2026). Social media exposure, risk perception and waste sorting behavioral intention: Integration of cognition-affect-conation model.International Journal of Environmental Research and Public Health, 23(4), 4175.