Your new experience awaits. Try the new design now and help us make it even better

BRIEF RESEARCH REPORT article

Front. Commun., 31 July 2025

Sec. Science and Environmental Communication

Volume 10 - 2025 | https://doi.org/10.3389/fcomm.2025.1579912

The world needs less plastic: the role of psychological distance and self-efficacy in environmental messages

  • 1School of Media and Journalism, Kent State University, Kent, OH, United States
  • 2Department of Communication and Journalism, University of Wyoming, Laramie, WY, United States
  • 3Genetic Engineering and Society Center, North Carolina State University, Raleigh, NC, United States

This study examines the role of lowering psychological distance and increasing self-efficacy around plastic pollution through environmental media messages. Participants (N = 215) were randomly assigned to watch a short video (30–60 s) that was either generalized or localized to the state of the participant’s residency and that did or did not include a self-efficacy message in this 2 × 2 between-subjects experiment. Results indicate that message localization lowers psychological distance and including self-efficacy messages increase self-efficacy. Both led to increased message-consistent attitudes and thus increased behavioral intentions to reduce plastic waste and promote the same behaviors in others.

1 Introduction

Every year, the average American produces 218 pounds of plastic waste, all of which takes up to 1,000 years to fully degrade (Environmental Protection Agency, 2023a). Plastic is toxic to humans and animals and is not biodegradable. Despite the environmental problems created by plastic use, people have become increasingly dependent on the material for everyday life (Al-Salem et al., 2009), and plastic use in the United States has quadrupled since 1980 and continues to grow. Plastic waste is now a top priority of the U.S. Environmental Protection Agency, as evidenced by their recent national efforts to reduce plastic pollution (Environmental Protection Agency, 2023b).

Pro-environmental behaviors (PEBs) are behaviors that benefit the environment or aim to minimize harm to the environment (Steg and Vlek, 2009). More than one third of Americans are worried “a great deal” about the quality of the environment (36%), and 31% are worried “a fair amount,” according to the most recent Gallup polling data (Evans, 2024). However, only 20% of Americans report consistently trying to engage in PEBs in their daily lives (Anderson, 2017). Why is there a mismatch between what people say matters to them and what they actually do about it?

In the context of plastic waste, one potential cause of this mismatch is the personal relevancy of the issue. Although plastic waste affects all humans and animals, much of the rhetoric in environmental advocacy campaigns (e.g., Ocean Conservancy, 2023) around plastic waste has focused on how it impacts marine wildlife, such as animals getting entangled in debris and gastrointestinal blockage. While the concern for oceans is certainly warranted, it is an oversight to focus plastic pollution messaging on marine wildlife alone because “only people who live directly on the coast may imagine that their litter could end up there if not properly disposed of” (Moss, 2021, p. 38). Because people often base their decisions about whether to engage in PEBs on how personally connected they feel to a given issue, it is critical to develop effective communication strategies to promote plastic waste reduction among these populations.

One strategy to accomplish this goal is to create messages that reduce psychological distance. Psychological distance refers to how distant a person believes something is from themself in the present moment (Spence et al., 2012; Trope and Liberman, 2010). There are four dimensions of psychological distance that can influence how a person will feel towards an issue: spatial, temporal, social, and hypothetical distance.

Spatial distance is how physically close a person feels relative to the location where an issue is occurring (Wang et al., 2019). For example, the effect of plastic waste on ocean life may be spatially distant for those who do not live in coastal areas. Temporal distance is how close in time a person feels the current moment is in relation to when an issue will have negative consequences. For example, those who believe that plastic waste will not affect their lives until far into the future are temporally distant from the issue. Social distance is how close an individual feels towards the social group that is being impacted by an issue. For example, an individual who believes that plastic waste does not impact people like themselves is socially distant from the issue. Finally, hypothetical distance is an individual’s perception of the likelihood of an event occurring. For example, if an individual believes that they are unlikely to ever be negatively impacted by plastic waste, they have a high hypothetical distance from the issue. Previous research indicates that the spatial dimension is the most influential, as it can prime perceived distance along the other dimensions but not vice versa (Zhang and Wang, 2009). A key method to reduce spatial distance is to localize an environmental message to where an individual lives (Moss, 2021).

The relationship between psychological distance and behavioral intentions is nuanced (Brügger, 2020; Kim, 2023). According to Construal Level Theory, changes in psychological distance affect the criteria people use to perceive the world and make decisions (Trope and Liberman, 2010). Reduced psychological distance leads individuals to think about an issue like plastic waste in a more concrete way, which is associated with higher cognitive and emotional engagement with the issue compared to the abstract construals that are associated with greater psychological distance (Lorenzoni et al., 2007; Weber, 2006). Messages designed to manipulate perceived psychological distance may impact people differently based on individual differences, such as political orientation, and message framing (Chu and Yang, 2020; Duan et al., 2021; Roh et al., 2015).

Another strategy to promote plastic waste reduction is increasing self-efficacy, which is an individual’s belief about their own ability to successfully perform relevant behaviors (Ajzen, 1991; Chao, 2012). In the context of PEBs, self-efficacy is positively correlated with an individual’s willingness to perform pro-environmental behaviors and the amount of effort they put towards doing so (Oreg and Katz-Gerro, 2006). Previous research has shown that efficacy framing increases climate change mitigation PEBs at close spatial distances (Chu and Yang, 2020).

Self-efficacy (or perceived behavioral control) is also a key factor in the Theory of Planned Behavior (TPB), which seeks to predict behavioral intentions. The other two key factors of TPB are attitudes toward the behavior and social norms (Ajzen, 1991) Favorable attitudes towards a given behavior increase behavioral intentions to perform that behavior. Social norms are a person’s perception of the prevalence of a certain behavior among their peers and of the approval or disapproval they will receive from peers as a result of performing the behavior (Ho et al., 2015). Social norms are influenced by both personal references, such as friends and family members, and societal references, such as those learned through social media (Sanne and Wiese, 2018).

Social media has become a permanent fixture in people’s everyday lives, with the average American spending over 2 h daily on social media, with the most engaging type of content being short-form videos (Wong, 2023). As the use of social media continues to increase, so does people’s reliance on it for information about a range of issues.

The TPB has been used to test the effectiveness of social media messages in various contexts (e.g., Namkoong et al., 2017). Social media facilitates all three primary tenets of the TPB: it allows individuals to share their attitudes on environmental issues with friends, family, and the general public; it provides information about social norms by letting a person know what others closest to them condone; and it can increase self-efficacy by providing information about how to perform desirable behaviors. Social media is therefore becoming an increasingly powerful medium for promoting and encouraging PEBs.

Within the context of plastic pollution, the current study tests how localized messages and the inclusion of self-efficacy information can influence behavioral intentions after viewing a short social media video.

To test the impact of manipulating psychological distance, participants in this study were people who are presumed to have a high psychological distance from the issue of plastic waste because they reside in non-coastal states. Previous research suggests that localized messages will reduce psychological distance, making individuals feel closer to the proposed issue (Moss, 2021). Therefore:

H1: Participants who view a video that contains a localized message will have lower psychological distance regarding plastic waste than will participants who view a video that contains a general, non-localized message.

An abundance of literature suggests that lowering psychological distance will lead to message-consistent attitudes towards an issue (e.g., Jones et al., 2016). Therefore:

H2: There is a positive relationship between reduced psychological distance and message-consistent attitudes.

The TPB states that attitudes are a strong indicator of behavioral intentions (Ajzen, 1991). Therefore:

H3: There is a positive relationship between message-consistent attitudes and behavioral intentions to reduce plastic waste.

When an individual perceives higher social norms in favor of a behavior, that person is more likely to perform the behavior themselves (Ho et al., 2015). Therefore:

H4: There is a positive relationship between perceived social norms in favor of reducing plastic waste and behavioral intentions to reduce plastic waste.

Previous literature suggests that giving individuals knowledge about and providing demonstrations of how to accomplish a behavior can increase self-efficacy (Meinhold and Malkus, 2005). Therefore:

H5: Participants who view a video containing a self-efficacy message will have higher self-efficacy regarding plastic waste than will those who view a video that does not contain a self-efficacy message.

According to the TPB, self-efficacy is consistently associated with increased intention to perform a behavior (Ajzen, 1991; Chao, 2012). Therefore:

H6: There is a positive relationship between higher self-efficacy towards reducing plastic waste and behavioral intentions to reduce plastic waste.

2 Materials and methods

The study utilized a 2 (generalized or localized message) X 2 (self-efficacy message present or absent) between-subjects experimental design (N = 215). Participants were paid $1.50, recruited through Amazon Mechanical Turk, and screened before engaging in the experiment to only select those who live in the Western U. S. states of Wyoming, Idaho, Montana, and Utah. These states were selected because they have no ocean coastlines. Participants were then randomly assigned one of four experimental conditions and watched a 30–60 s video that was either generalized or localized to their state of residence and included a brief self-efficacy message or not (see FigShare for videos). The videos presented a slideshow of photographs depicting the environmental consequences of plastic waste, along with written text over the images that explained the magnitude and consequences of plastic waste. All videos end by encouraging people to do their part in reducing plastic waste. After viewing the video, participants completed a questionnaire that measured the study’s dependent variables and socio-demographics. The study was approved by authors’ university institutional review board, and data collection occurred in February and March 2020. See the Supplementary materials for detailed differences among the four conditions.

2.1 Measures

The full survey questions used to construct the measures, attention check questions, and face validity questions can be found in the Supplementary materials.

2.1.1 Control variables

Slightly more than half of the sample (54.4%) was female. The mean age was 38 years old (SD = 12.4). Most participants were White or of European origin at 91.6%. About three-quarters of the sample (78.2%) reported some college education. The average participant’s income fell between $35,000 and $49,999. Two items were used to assess political ideology by asking participants to identify how liberal or conservative they are about social and economic issues, respectively (1 = extremely liberal, 7 = extremely conservative). These items were averaged into a single measure of political ideology (M = 3.92, SD = 1.69, r = .783). Participants were also asked how strongly they self-identified as an environmentalist and how frequently they use social media.

2.1.2 Psychological distance

Psychological distance was measured using four items adapted from previous research (Spence et al., 2012). Each item measured one of the four dimensions of psychological distance. These items were assessed on a seven-point Likert agreement scale (1 = strongly agree, 7 = strongly disagree) and combined to create an overall measure of psychological distance, with higher values indicating greater psychological distance (M = 2.69, SD = 1.07, α = .780).

2.1.3 Attitude

Attitude towards reducing plastic waste was measured using six items adapted from previous research (Sanne and Wiese, 2018). These items were assessed on a seven-point Likert agreement scale and combined into an overall measure of message-consistent attitude (i.e., in favor of reducing plastic waste), coded such that higher values on the scale represent more message-consistent PEB attitudes (M = 6.23, SD = 0.84, α = .893).

2.1.4 Social norms

Social norms related to reducing plastic waste were measured using four items adapted from previous research (Sanne and Wiese, 2018). These items were assessed on a seven-point Likert agreement scale and combined into an overall measure of social norms related to plastic waste reduction, with higher values indicating more favorable social norms towards reducing plastic waste (M = 4.73, SD = 1.28, α = .891).

2.1.5 Self-efficacy

Self-efficacy towards reducing plastic waste was measured using five items adapted from previous research (Sanne and Wiese, 2018). These items were assessed on a seven-point Likert agreement scale and combined into an overall measure of self-efficacy towards reducing plastic waste, with higher values indicating greater self-efficacy (M = 5.65, SD = 1.04, α = .857).

2.1.6 Behavioral intentions

Behavioral intentions were measured on a seven-point Likert agreement scale using six items adapted from previous research (Sanne and Wiese, 2018) that were combined into an overall measure of behavior intentions (M = 5.45, SD = 1.06, α = .847).

2.2 Data analysis

Ordinary-least-squares (OLS) regression was used to test the hypotheses and address the research question based on theoretically derived causal order. The proposed model described in the hypotheses was tested using Model 6 of the SPSS PROCESS macro (Hayes, 2022) as two multi-step regression models that involved mediation and serial mediation. The variables that were controlled for are included in the tables for each analysis described below.

3 Results

3.1 Localized message, psychological distance, and attitude

The first statistical model involved serial mediation from the localized condition to psychological distance to attitude to behavioral intentions and was tested in three separate steps. Table 1 presents the results of each step of the first statistical model as a separate column based on the outcome variable predicted.

Table 1
www.frontiersin.org

Table 1. Multiple linear regressions predicting the effect of psychological distance and attitude on behavioral intentions to reduce plastic waste.

Hypothesis 1 predicted that participants who view a video that contains a localized message will have lower psychological distance regarding plastic waste than will participants who view a video that contains a general, non-localized message. This hypothesis was supported (b = −0.36, p ≤ 0.01); viewing a localized message (M = 2.48, SD = 1.05) resulted in lower psychological distance compared to the generalized message (M = 2.88, SD = 1.09), independent-samples t (213) = 2.70, p (one-sided) = 0.004.

Hypothesis 2 predicted that there is a positive relationship between reduced psychological distance and message-consistent attitudes, and it was supported (b = −0.17, p ≤ 0.01).

Hypothesis 3 predicted that there is a positive relationship between message-consistent attitudes behavioral intentions to reduce plastic waste, and it was supported (b = 0.24, p ≤ 0.001). This third and final step of the model explains 59.9% of the variance in behavioral intentions, F (15, 199) = 19.78, p ≤ 0.001.

3.2 Self-efficacy message and self-efficacy

The second statistical model tested the effect of the self-efficacy condition on behavioral intentions, mediated by participants’ perceptions of their own self-efficacy around reducing plastic waste. Table 2 shows the results of each step of this analysis.

Table 2
www.frontiersin.org

Table 2. Multiple linear regressions predicting the effect of self-efficacy on behavioral intentions to reduce plastic waste.

Hypothesis 5 predicted that participants who viewed videos containing a self-efficacy message would have higher self-efficacy regarding plastic waste reduction than would those who viewed videos that do not contain a self-efficacy message, and it was supported (b = 0.29, p ≤ 0.05). The self-efficacy message yielded greater self-efficacy (M = 5.78, SD = 0.97) compared to the message without self-efficacy (M = 5.51, SD = 1.09), independent-samples t (213) = −1.92, p (one-sided) = 0.028.

Hypothesis 6 predicted that there is a positive relationship between higher self-efficacy towards reducing plastic waste and behavioral intentions to reduce plastic waste, and it was supported (b = 0.32, p ≤ 0.001).

3.3 Social norms

Hypothesis 4 predicted that there is a positive relationship between perceived social norms in favor of reducing plastic waste and behavioral intentions to reduce plastic waste, and it was not supported—social norms were not a significant predictor of behavioral intention (b = 0.08, p = n.s.).

Figure 1 illustrates the combined results of all analyses predicting behavioral intentions.

Figure 1
Diagram of the model predicting intentions to reduce plastic waste. All values are unstandardized coefficients and all values have p-values of.05 or less except where noted. Localized messaging reduces psychological distance by 0.36, and psychological distance impacts attitude by negative 0.17. The self-efficacy message affects self-efficacy by 0.29. The influence of attitude, social norms, and self-efficacy on impact-oriented behavioral intentions are 0.24, 0.08 (not significant), and 0.32, respectively. The relationship between the localized message and behavioral intentions is serially mediated by psychological distance and attitude, and the relationship between the self-efficacy message and behavioral intentions is mediated by self-efficacy.

Figure 1. Model predicting behavioral intentions to reduce plastic waste. Unstandardized coefficients (b) shown. *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001.

4 Discussion

Plastic pollution is increasingly on the radar of regulators (e.g., Environmental Protection Agency, 2023b), legislators (e.g., Save Our Seas 2.0 Act, 2020), environmental groups (e.g., Plastic Pollution Coalition, 2024), and journalists (e.g., Jones, 2023). Yet, many media messages and campaigns aimed at reducing plastic pollution have focused on coastal areas and marine life (Moss, 2021) while overlooking other waterways and aquatic environments, such as those in the Mountain West. Millions of people who do not live within driving distance to beaches may not see the value of reducing plastic pollution because of heightened psychological distance (Moss, 2021). Another barrier to pro-environmental behaviors (PEBs) could be lack of self-efficacy, or the belief that one can successfully engage in the PEBs. With that in mind, this study examined the influence of a localized message and the presence of a self-efficacy message in relation to psychological distance, attitude, social norms, and self-efficacy in environmental messages that encourage plastic waste reduction.

The first manipulation in this study looked at the impact localized messages have on psychological distance. Indeed, participants who viewed a video with images of identifiable landscapes and animals from the participant’s state of residence were more likely to believe that the issue of plastic waste is something that could affect them and others like them in their home state now or in the near future.

Importantly, this study showed that psychological distance can be influenced by short media messages. In less than a minute, the localized videos resulted in lower psychological distance compared to those who viewed the non-localized videos, which is a necessary first step to getting people to care about environmental issues. Lower psychological distance was significantly associated with message-consistent, pro-environmental attitudes about plastic waste. This finding suggests that in certain contexts, communicators should aim to reduce psychological distance when promoting pro-environmental attitudes and behaviors. By making people believe that an issue such as plastic waste may have a direct impact on themselves, localized messages have the potential to overcome many barriers to PEBs. However, a recent review of Construal Level Theory research on climate change communication found that psychological distance was not consistently associated with changes in pro-environmental behaviors and intentions due to the moderating effects of individual difference variables like political ideology (Kim, 2023; Roh et al., 2015). The link between reduced psychological distance and behavioral intentions found in the present research aligns with previous findings that efficacy messages are most impactful when spatial distance is perceived as low (Chu and Yang, 2020).

The effectiveness of the short videos used in this study highlights the utility of disseminating environmental messages through social media. The videos used in the experiment consisted of relatively simple photo slideshows accompanied by text and music. Similar videos could easily be created by environmental advocacy groups. By swapping in different images and making slight text adjustments, organizations can efficiently localize their messages to better connect with specific audiences. This approach can reduce psychological distance and make environmental issues feel more relevant with little additional effort. Although this study did not investigate whether participants engaged with the videos by liking, sharing, and/or commenting, environmental communicators can also benefit from using social media interactions to assess message exposure and issue involvement (Oeldorf-Hirsch and Sundar, 2015). In addition, this study demonstrated that short media messages that provide information about how to engage in PEBs can increase an individual’s belief in their own ability to perform them. As predicted, higher self-efficacy was associated with increased behavioral intentions to reduce plastic waste, which is consistent with the Theory of Planned Behavior (TPB). This study demonstrates that the inclusion of simple, straightforward self-efficacy messages can promote PEBs.

The TPB posits a positive relationship between social norms and behavioral intentions; however, in this study social norms did not influence behavioral intentions. Previous scholars have suggested that one way to improve the TPB is by adding personal norms to the model (Schwarz, 1977). Personal norms are self-expectations based on an individual’s values. If an individual’s personal norms create a strong moral conviction towards performing a behavior, social support for the behavior will have little influence on the individual’s decisions about performing the behavior (Schultz et al., 2016). Some scholars have suggested that personal norms are important to performing PEBs because PEBs can be considered moral behaviors (Harland et al., 1999). This is consistent with the results of this study, which found that environmentalist identity was a strong predictor of behavioral intentions (see Table 1). In this case, environmentalist identity could have functioned as a proxy for personal norms in favor of PEBs.

An interesting finding from this study relates to the influence of political ideology on behavioral intentions towards reducing plastic waste. Political ideology was a significant predictor of behavioral intentions (b = −0.07, p ≤ 0.05) such that participants who identified as more liberal had stronger intentions to perform plastic waste reduction behaviors than did those who identified as more conservative. In addition, political ideology had a statistically significant relationship with psychological distance such that participants who identified as more liberal had lower psychological distance than did participants who identified as more conservative. This supports other research that shows that people who identify as conservative tend to hold less favorable attitudes towards the environment and tend to perform fewer PEBs (Cheung et al., 2019). However, while political ideology did influence parts of the model, overall, it had a small impact on behavioral intentions. This indicates that the messages were generally effective for both conservatives and liberals.

4.1 Limitations and future directions

This study tested behavioral intentions and not actual behaviors related to plastic waste reduction. However, behavioral intentions have consistently been identified as significant predictors of actual behavior (Ho et al., 2015). Future research should attempt to develop better methods to study people’s actual behavior following exposure to pro-environmental messages, while also measuring behavioral intentions to examine the correlation between behavioral intentions and actual behavior.

Another limitation to the study is that the results are not fully generalizable because the experiment did not use a representative sample. However, past studies have determined that Mechanical Turk samples are more generalizable than other types of traditional samples (Buhrmester et al., 2011).

Finally, this study did not include baseline measures of participants’ plastic use or the specific structural barriers they may face when trying to reduce plastic waste, such as individual state policies or availability of recycling centers. Future research should investigate the relationship between psychological distance and pro-environmental behavior in the context of local policies that enable or inhibit the performance of these behaviors.

Future research should seek to identify how visual and written information in a video each uniquely affect attitudes and behavioral intentions in social media contexts (e.g., Hooker and Cooper, 2022) to gain a more nuanced understanding of how each factor contributes to the effectiveness of pro-environmental messages. Additionally, future research should test the effects of manipulating the temporal, social distance, and hypotheticality dimensions of psychological distance in addition to the spatial dimension.

4.2 Conclusion and practical implications

This study illustrates the importance of creating localized environmental messages as a way to promote action and overcome barriers to PEBs. This suggests that science communicators should develop localized messages that reduce psychological distance by demonstrating how environmental problems impact an individual’s own community. Based on the findings of this study, environmental communicators would be wise to create multiple localized variations of a message aimed at promoting PEBs rather than distributing a single generalized message to a large population. This can be accomplished by microtargeting audiences on social media, for example. However, communicators who create messages that aim to influence psychological distance should carefully pre-test the messages to ensure that the interaction of other variables does not result in boomerang effects.

This study also illustrates the importance of including a self-efficacy message that provides the audience with concrete ways that they can help when promoting PEBs. Self-efficacy messages are effective in promoting a variety of behavioral intentions and are important to include in messages when discussing environmental issues. Communicators should be direct in telling the audience how they can accomplish PEBs and should emphasize behaviors that can be performed easily, when appropriate.

In summary, this study demonstrates that localizing environmental messages and including information that increases self-efficacy are effective strategies that communicators can use to potentially increase pro-environmental behaviors like plastic waste reduction.

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://osf.io/xtj6p/?view_only=6b154e54f0c24a89ab461cf1896074a9.

Ethics statement

The studies involving humans were approved by University of Wyoming Institutional Review Board. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

KC: Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. LB: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. KL: Formal analysis, Investigation, Methodology, Visualization, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Gen AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcomm.2025.1579912/full#supplementary-material

SUPPLEMENTARY TABLE 1 | Detailed description of stimuli, full questionnaire, and attention and face validity checks.

References

Ajzen, I. (1991). The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50, 179–211. doi: 10.1016/0749-5978(91)90020-T

Crossref Full Text | Google Scholar

Al-Salem, S. M., Lettieri, P., and Baeyens, J. (2009). Recycling and recovery routes of plastic solid waste (PSW): a review. Waste Manag. 29, 2625–2643. doi: 10.1016/j.wasman.2009.06.004

PubMed Abstract | Crossref Full Text | Google Scholar

Anderson, M. (2017). For earth day, here’s how Americans view environmental issues. Pew research center. Available online at: https://www.pewresearch.org/fact-tank/2017/04/20/for-earth-day-heres-how-americans-view-environmental-issues/ [Accessed January 26, 2025].

Google Scholar

Brügger, A. (2020). Understanding the psychological distance of climate change: the limitations of construal level theory and suggestions for alternative theoretical perspectives. Glob. Environ. Chang. 60:102023. doi: 10.1016/j.gloenvcha.2019.102023

Crossref Full Text | Google Scholar

Buhrmester, M., Kwang, T., and Gosling, S. D. (2011). Amazon’s mechanical Turk. Perspect. Psychol. Sci. 6, 3–5. doi: 10.1177/1745691610393980

PubMed Abstract | Crossref Full Text | Google Scholar

Chao, Y. (2012). Predicting people's environmental behaviour: theory of planned behaviour and model of responsible environmental behaviour. Environ. Educ. Res. 18, 437–461. doi: 10.1080/13504622.2011.634970

Crossref Full Text | Google Scholar

Cheung, L. T. O., Ma, A. T. H., Lee, K. M. Y., Lee, J. C. K., and Lo, Y. L. (2019). How does political orientation influence one’s environmental attitude and behaviour? Debate over country park conservation in Hong Kong. Environ. Sci. Pol. 99, 115–122. doi: 10.1016/j.envsci.2019.05.026

Crossref Full Text | Google Scholar

Chu, H., and Yang, J. Z. (2020). Risk or efficacy? How psychological distance influences climate change engagement. Risk Anal. 40, 758–770. doi: 10.1111/risa.13446

PubMed Abstract | Crossref Full Text | Google Scholar

Duan, R., Takahashi, B., and Zwickle, A. (2021). How effective are concrete and abstract climate change images? The moderating role of construal level in climate change visual communication. Sci. Commun. 43, 358–387. doi: 10.1177/10755470211008192

Crossref Full Text | Google Scholar

Environmental Protection Agency. (2023a). Facts and figures about materials, waste and recycling: Plastics, material-specific data. Available online at: https://www.epa.gov/facts-and-figures-about-materials-waste-and-recycling/plastics-material-specific-data [Accessed January 26, 2025].

Google Scholar

Environmental Protection Agency. (2023b). Circular economy: Draft national strategy to prevent plastic pollution. Available online at: https://www.epa.gov/circulareconomy/draft-national-strategy-prevent-plastic-pollution [Accessed January 26, 2025].

Google Scholar

Evans, M. C. (2024). Seven key Gallup findings about the environment on earth day. Gallup. Available online at: https://news.gallup.com/poll/643850/seven-key-gallup-findings-environment-earth-day.aspx [Accessed January 26, 2025].

Google Scholar

Harland, P., Staats, H., and Wilke, H. A. M. (1999). Explaining proenvironmental intention and behavior by personal norms and the theory of planned behavior. J. Appl. Soc. Psychol. 29, 2505–2528. doi: 10.1111/j.1559-1816.1999.tb00123.x

Crossref Full Text | Google Scholar

Hayes, A. F. (2022). An introduction to mediation, moderation, and conditional process analysis. 3rd Edn. New York: Guilford Press.

Google Scholar

Ho, S. S., Liao, Y., and Rosenthal, S. (2015). Applying the theory of planned behavior and media dependency theory: predictors of public pro-environmental behavioral intentions in Singapore. Environ. Commun. 9, 77–99. doi: 10.1080/17524032.2014.932819

Crossref Full Text | Google Scholar

Hooker, A. M., and Cooper, K. E. (2022). Insta-spiration sweeping the nation: The influence of Instagram on intention to travel to Yellowstone National Park. The Review of Socionetwork Strategies, 16, 1–24. doi: 10.1007/s12626-021-00099-0

Crossref Full Text | Google Scholar

Jones, B. (2023). Finally, a solution to plastic pollution that’s not just recycling. Vox. Available at: https://www.vox.com/down-to-earth/2023/6/7/23743640/plastic-pollution-un-treaty-oceans-waste

Google Scholar

Jones, C., Hine, D. W., and Marks, A. D. G. (2016). The future is now: reducing psychological distance to increase public engagement with climate change. Risk Anal. 37, 331–341. doi: 10.1111/risa.12601

PubMed Abstract | Crossref Full Text | Google Scholar

Kim, K. (2023). A review of CLT-based empirical research on climate change communication from 2010 to 2021. Environ. Commun. 17, 844–860. doi: 10.1080/17524032.2023.2259625

Crossref Full Text | Google Scholar

Lorenzoni, I., Nicholson-Cole, S., and Whitmarsh, L. (2007). Barriers perceived to engaging with climate change among the UK public and their policy implications. Glob. Environ. Chang. 17, 445–459. doi: 10.1016/j.gloenvcha.2007.01.004

Crossref Full Text | Google Scholar

Meinhold, J. L., and Malkus, A. J. (2005). Adolescent environmental behaviors: can knowledge, attitudes, and self-efficacy make a difference? Environ. Behav. 37, 511–532. doi: 10.1177/0013916504269665

Crossref Full Text | Google Scholar

Moss, E. (2021). Reducing plastic pollution: campaigns that work. Stockholm Environment Institute and United Nations environment Programme. Available online at: https://www.sei.org/wp-content/uploads/2021/02/210216-caldwell-sle-plastics-report-with-annex-210211.pdf [Accessed January 26, 2025].

Google Scholar

Namkoong, K., Nah, S., Record, R. A., and Van Stee, S. K. (2017). Communication, reasoning, and planned behaviors: unveiling the effect of interactive communication in an anti-smoking social media campaign. Health Commun. 32, 41–50. doi: 10.1080/10410236.2015.1099501

PubMed Abstract | Crossref Full Text | Google Scholar

Ocean Conservancy. (2023). Fighting for trash-free seas: Ending the flow of trash at the source. Available online at: https://oceanconservancy.org/trash-free-seas/ [Accessed January 26, 2025].

Google Scholar

Oeldorf-Hirsch, A., and Sundar, S. S. (2015). Posting, commenting, and tagging: effects of sharing news stories on Facebook. Comput. Hum. Behav. 44, 240–249. doi: 10.1016/j.chb.2014.11.024

Crossref Full Text | Google Scholar

Oreg, S., and Katz-Gerro, T. (2006). Predicting proenvironmental behavior cross-nationally: values, the theory of planned behavior, and value-belief-norm theory. Environ. Behav. 38, 462–483. doi: 10.1177/0013916505286012

Crossref Full Text | Google Scholar

Plastic Pollution Coalition. (2024). About us. Available online at: https://www.plasticpollutioncoalition.org/about [Accessed January 26, 2025].

Google Scholar

Roh, S., McComas, K. A., Rickard, L. N., and Decker, D. J. (2015). How motivated reasoning and temporal frames may polarize opinions about wildlife disease risk. Sci. Commun. 37, 340–370. doi: 10.1177/1075547015575181

Crossref Full Text | Google Scholar

Sanne, P. N. C., and Wiese, M. (2018). The theory of planned behaviour and user engagement applied to Facebook advertising. S. Afr. J. Inform. Manag. 20, e1–e10. doi: 10.4102/sajim.v20i1.915

Crossref Full Text | Google Scholar

Save Our Seas 2.0 Act, (2020). Pub. L. no. 116–224, stat. 1982 Available online at: https://www.congress.gov/bill/116th-congress/senate-bill/1982 [Accessed January 26, 2025].

Google Scholar

Schultz, P. W., Messina, A., Tronu, G., Limas, E. F., Gupta, R., and Estrada, M. (2016). Personalized normative feedback and the moderating role of personal norms: a field experiment to reduce residential water consumption. Environ. Behav. 48, 686–710. doi: 10.1177/0013916514553835

Crossref Full Text | Google Scholar

Schwarz, S. H. (1977). “Normative influences on altruism” in Advances in experimental social psychology. ed. L. Berkowitz (New York: Academic Press), 222–275.

Google Scholar

Spence, A., Poortinga, W., and Pidgeon, N. (2012). The psychological distance of climate change. Risk Anal. 32, 957–972. doi: 10.1111/j.1539-6924.2011.01695.x

PubMed Abstract | Crossref Full Text | Google Scholar

Steg, L., and Vlek, C. (2009). Encouraging pro-environmental behaviour: an integrative review and research agenda. J. Environ. Psychol. 29, 309–317. doi: 10.1016/j.jenvp.2008.10.004

Crossref Full Text | Google Scholar

Trope, Y., and Liberman, N. (2010). Construal-level theory of psychological distance. Psychol. Rev. 117, 440–463. doi: 10.1037/a0018963

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, S., Hurlstone, M. J., Leviston, Z., Walker, I., and Lawrence, C. (2019). Climate change from a distance: an analysis of construal level and psychological distance from climate change. Front. Psychol. 10:230. doi: 10.3389/fpsyg.2019.00230

PubMed Abstract | Crossref Full Text | Google Scholar

Weber, E. U. (2006). Experience-based and description-based perceptions of long-term risk: why global warming does not scare us (yet). Clim. Chang. 77, 103–120. doi: 10.1007/s10584-006-9060-3

Crossref Full Text | Google Scholar

Wong, B. (2023) Top social media statistics and trends of 2023. Forbes. Available online at: https://www.forbes.com/advisor/business/social-media-statistics/ [Accessed January 26, 2025].

Google Scholar

Zhang, M., and Wang, J. (2009). Psychological distance asymmetry: the spatial dimension vs. other dimensions. J. Consum. Psychol. 19, 497–507. doi: 10.1016/j.jcps.2009.05.001

Crossref Full Text | Google Scholar

Keywords: plastic pollution, psychological distance, localized messaging, self-efficacy, theory of planned behavior

Citation: Cooper KE, Brinkerhoff L and Landreville KD (2025) The world needs less plastic: the role of psychological distance and self-efficacy in environmental messages. Front. Commun. 10:1579912. doi: 10.3389/fcomm.2025.1579912

Received: 19 February 2025; Accepted: 28 May 2025;
Published: 31 July 2025.

Edited by:

Ataharul Chowdhury, University of Guelph, Canada

Reviewed by:

Laura Rickard, University of Maine, United States
Mahatab Uddin, University of Guelph, Canada

Copyright © 2025 Cooper, Brinkerhoff and Landreville. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Kathryn E. Cooper, a2Nvb3BlNDFAa2VudC5lZHU=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.