The power of loss: message framing, climate anxiety, and engagement in personal carbon trading
Open accessAbstract
As global carbon emissions continue to rise and climate targets grow increasingly urgent, promoting voluntary low-carbon behaviors has become a critical component of climate policy. Among various behavior-oriented instruments, Personal Carbon Trading (PCT) offers a promising yet underutilized strategy for incentivizing individual emissions reduction, though public participation remains limited due to psychological and communicative barriers. This study investigates how message framing (gain vs. loss) influences individuals’ willingness to participate in PCT, and whether this effect is mediated by climate change anxiety (CCA) and moderated by two psychological traits: felt responsibility (FR) and green self-efficacy (GSE). Drawing upon Prospect Theory, Norm Activation Theory, and Self-Efficacy Theory, we conducted an online experiment with randomized stimuli and analyzed the responses of 788 participants. The results show that loss-framed messages significantly enhance voluntary engagement intention (VEI) towards PCT compared to gain-framed messages. Moreover, CCA partially mediates the relationship between message framing and VEI, confirming the emotional pathway through which message framing operates. Importantly, both FR and GSE moderate these effects, such that loss framing is more effective among individuals with higher levels of responsibility or efficacy. These findings advance theoretical understanding of the framing-emotion-intention pathway while offering evidence-based strategies for designing personalized environmental communications that promote voluntary participation in PCT.
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Written from the paper’s full text.
TL;DR
In an online randomized experiment with 788 Chinese participants, loss-framed messages about personal carbon trading produced higher voluntary engagement intention than gain-framed messages, with climate change anxiety partially mediating the effect. Felt responsibility and green self-efficacy moderated framing effects, but the hypothesized moderation of the CCA→VEI path by GSE was not supported.
Key findings
- Loss-framed messages increased voluntary engagement intention (VEI) versus gain-framed messages: loss group M = 4.58, SE = 0.078 vs. gain group M = 3.99, SE = 0.038; ANCOVA F(1,782) = 9.723, p < 0.001; t-test t = −6.834, p < 0.001.
- Climate change anxiety (CCA) partially mediated the framing→VEI relationship: indirect effect = −0.249, BootSE = 0.054, 95% CI [−0.352, −0.141]; after including CCA, framing still had a direct effect on VEI (β = −0.344, SE = 0.066, p < 0.001); model R² = 0.473.
- Felt responsibility (FR) moderated framing→CCA (interaction β = 0.152, SE = 0.055, p < 0.01) and framing→VEI (β = −0.246, SE = 0.053, p < 0.001); green self-efficacy (GSE) moderated framing→VEI (β = −0.543, SE = 0.052, p < 0.001). Loss framing was more effective for high FR/GSE individuals, while gain framing showed relative advantages for low FR/GSE groups.
- H5b was not supported: CCA × GSE on VEI was non-significant in PROCESS (β = −0.033, SE = 0.017, p = 0.055, 95% CI [−0.0670, 0.0007]) and PLS-SEM (β = −0.045, p > 0.05); PLS-SEM otherwise converged with PROCESS results.
Methods
- Online randomized experiment in mainland China from April 1 to April 15, 2025; 900 Chinese citizens recruited via Wenjuanxing, with 788 valid responses (87.56% effective rate); participants were randomly assigned to gain-framed (n = 394) or loss-framed (n = 394) groups after reading neutral PCT introductory material.
- Stimuli differed only in framing orientation, with fixed 30-second exposure; measures used 7-point Likert scales for CCA, VEI, FR, and GSE, adapted from validated scales via translation-back-translation and pilot testing (N = 38).
- Analysis included ANCOVA with demographic covariates, CFA for reliability/validity, Hayes PROCESS Model 4 and Model 29 for mediation and moderated mediation, and PLS-SEM as a robustness check given non-normal residuals.
Limitations
- Stated by the paper: the sample is exclusively from mainland China, skews middle-aged (71.83% aged 26–45) and college-educated (66.75%), and relied on online recruitment that may exclude rural, elderly, and low-income groups; the study measured intentions rather than actual behavior; only CCA was tested as a mediator and FR/GSE as moderators; anxiety threshold/inverted-U effects were not tested; static text stimuli and implementation feasibility of personalized messaging remain unvalidated.
- Evident from Table 1: despite quota sampling, the randomized groups appear imbalanced on gender (gain: 230 male/164 female; loss: 177 male/217 female) and education (e.g., high school or below: 150 gain vs. 78 loss; college/bachelor’s: 225 gain vs. 301 loss), which the paper does not discuss as a potential confound.
Model-written summary. Check it against the paper before relying on it.
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Cites
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Claims the paper makes
7 of 48 cited sources checked · 0 supported · 0 flagged · accuracy not yet measured
- Premisecitation
PCT requires understanding complex policy instruments, thereby imposing higher cognitive demands than conventional green behaviors.
“Second, it requires understanding complex policy instruments, thereby imposing higher cognitive demands than conventional green behaviors [10, 11].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [10] Capstick, SB, Lewis, A. Effects ofpersonal carbon allowances on decisionmaking: evidence from an experimental simulation. Clim.Policy. 2010;10:369–84. source
- cites [11] Wadud Z, Chintakayala PK. Personal carbon trading: trade-off and complementarity between in-home and transport related emissions reduction. Ecol Econ. 2019;156:397–408. source
The Review of literature (p. 3) explains how households receive and trade carbon permits, and Methods §3.1 describes how the survey presented the scheme to respondents. Neither passage says PCT requires greater cognitive effort than conventional green behaviors. A search for understanding, complexity, and cognitive demands found no passage addressing that comparison. (LLM, conf=0.75)
Experimental — accuracy not yet measured
- Premisecitation
Gain-framed messages tend to be more persuasive for individuals with low levels of self-efficacy.
“Research has shown that gain-framed messages tend to be more persuasive for individuals with low levels of self-efficacy [46].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [46] Carfora V, Morandi M, Catellani P. The effect of message framing in promoting the mediterranean diet: the moderating role of eating self-efficacy. Foods. 2022;11(10):1454. source
The Results (§4.3) and Discussion (§5) find that gain-framed messages were more effective than non-loss messages for people with low eating self-efficacy in promoting Mediterranean-diet adherence. The citing sentence omits those bounds, making the finding sound applicable to low self-efficacy and gain-framed messages generally. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Premisecitation
Excessive anxiety may trigger avoidance, helplessness, or psychological disengagement.
“While moderate anxiety can motivate pro-environmental intentions and behaviors [24], excessive anxiety may trigger avoidance, helplessness, or psychological disengagement [26, 27].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [26] Hogg TL, Stanley SK, O’Brien LV, Wilson MS, Watsford CR. The Hogg Eco-Anxiety scale: development and validation of a multidimensional scale. Glob Environ Change. 2021;71:102391. source
Checked before — its earlier verdict is held back until a new check runs.
- cites [27] Whitmarsh L, Player L, Jiongco A, James M, Williams M, Marks E, et al. Climate anxiety: what predicts it and how is it related to climate action? J Environ Psychol. 2022;83:101866. source
Section 2.1 describes severe climate anxiety as potentially debilitating and reports that avoidance-based coping is associated with less pro-environmental engagement. Section 5.3 suggests a possible threshold beyond which anxiety may no longer motivate action, but the paper does not establish that excessive anxiety triggers avoidance, helplessness, or psychological disengagement. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Interpretationcitation
Environmental threat information may drive behavioral responses through emotional pathways such as anxiety.
“This result resonates with Eco-Anxiety theory, suggesting that environmental threat information may drive behavioral responses through emotional pathways such as anxiety [61, 62].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [61] Hayes K, Blashki G, Wiseman J, Burke S, Reifels L. Climate change and mental health: risks, impacts and priority actions. Int J Ment Health Syst. 2018;12:1–12. source
The Discussion (Part 2; page unavailable) says awareness of climate threats can produce ecoanxiety and describes ecoparalysis as feelings of being unable to act effectively. Part 3 links managing feelings about those threats with behavioural engagement. The paper does not specifically say that anxiety drives behavioural responses, so the proposed pathway is only partly supported. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [62] Lawrance EL, Thompson R, Le Newberry J, Page L, Jennings N. The impact of climate change on mental health and emotional wellbeing: a narrative review of current evidence, and its implications. Int Rev Psychiatry. 2022;34(5):443–98. source
- Findingown data
Felt responsibility (FR) moderates the effects of message framing, such that loss framing is more effective among individuals with higher FR.
“Importantly, both FR and GSE moderate these effects, such that loss framing is more effective among individuals with higher levels of responsibility or efficacy.”
Quote in the paperSubstantial claim
- Findingown data
Green self-efficacy (GSE) moderates the effects of message framing, such that loss framing is more effective among individuals with higher GSE.
“Importantly, both FR and GSE moderate these effects, such that loss framing is more effective among individuals with higher levels of responsibility or efficacy.”
Quote in the paperSubstantial claim - Findingown data
Loss-framed messages significantly enhance voluntary engagement intention (VEI) towards PCT compared to gain-framed messages.
“The results show that loss-framed messages significantly enhance voluntary engagement intention (VEI) towards PCT compared to gain-framed messages.”
Quote in the paperSubstantial claim - Findingown data
Climate change anxiety (CCA) partially mediates the relationship between message framing and VEI.
“Moreover, CCA partially mediates the relationship between message framing and VEI, confirming the emotional pathway through which message framing operates.”
Quote in the paperSubstantial claim - Findingown data
The interaction effect between CCA and GSE did not reach statistical significance (β = −0.033, SE = 0.017, t = −1.921, p = 0.055, 95% CI [−0.0670, 0.0007]).
“Additionally, the interaction effect between CCA and GSE did not reach statistical significance (β = −0.033, SE = 0.017, t = −1.921, p = 0.055, 95% CI [−0.0670, 0.0007]).”
Quote in the paperNot a substantial claim - Findingown data
None of the demographic variables (gender, age, education, income) had significant effects on VEI.
“Furthermore, none of the demographic variables demonstrated significant effects on the dependent variable [DI1 (β = 0.0021, p = 0.981), DI2 (β = −0.0303, p = 0.480), DI3 (β = −0.0868, p = 0.304), DI4 (β = −0.0246, p = 0.501)].”
Quote in the paperNot a substantial claim - Findingown data
CCA had a significant positive effect on VEI, indicating higher CCA was associated with higher VEI.
“Furthermore, CCA demonstrated a significant positive effect on VEI (β = 0.587, S.E. = 0.024, p < 0.001, 95% CI [0.5408, 0.6332]), supporting H3 and indicating that higher levels of CCA were associated with higher levels of VEI.”
- Also stated in: § Results of PLS-SEM · plain
“Path analysis results (See Fig. 3; Table 4) revealed that message framing exhibited a significant direct negative effect on VEI (β = −0.377, p < 0.001), as well as an indirect effect through CCA: message framing significantly and negatively influenced CCA (β = −0.285, p < 0.001), while CCA demonstrated a significant positive effect on VEI (β = 0.483, p < 0.001).”
Quote in the paperSubstantial claim - Also stated in: § Results of PLS-SEM · plain
- Findingown data
The model for VEI explained 64.21% of the variance [R2 = 0.642, F(7,780) = 199.913, p < 0.001].
“The model explained 64.21% of the variance in the dependent variable [R² = 0.642, F(7, 780) = 199.913, p < 0.001].”
Quote in the paperNot a substantial claim - Findingown data
Message framing had a significant negative influence on climate change anxiety (CCA), indicating the loss-framed group exhibited higher CCA than the gain-framed group.
“Subsequently, message framing showed a significant negative influence on CCA (β = −0.424, S.E. = 0.098, p < 0.001, 95% CI [−0.617, −0.231]), supporting H2 and suggesting that the loss-framed group exhibited higher CCA compared to the gain-framed group.”
- Also stated in: § Results of PLS-SEM · plain
“Path analysis results (See Fig. 3; Table 4) revealed that message framing exhibited a significant direct negative effect on VEI (β = −0.377, p < 0.001), as well as an indirect effect through CCA: message framing significantly and negatively influenced CCA (β = −0.285, p < 0.001), while CCA demonstrated a significant positive effect on VEI (β = 0.483, p < 0.001).”
Quote in the paperSubstantial claim - Also stated in: § Results of PLS-SEM · plain
- Findingown data
The model for CCA accounted for 47.31% of the variance [R2 = 0.473, F(3,784) = 234.623, p < 0.001].
“The overall model accounted for 47.31% of the variance in CCA [R² = 0.473, F(3, 784) = 234.623, p < 0.001].”
Quote in the paperNot a substantial claim - Findingown data
Message framing influenced VEI through both direct (β = −0.275) and indirect (β = −0.199) pathways.
“The path coefficients indicated that message framing influenced VEI through both direct (β = −0.275) and indirect (β = −0.199) pathways.”
Quote in the paperSubstantial claim - Findingown data
There was a significant interaction effect between message framing and FR on CCA (β = 0.152, SE = 0.055, t = 2.743, p < 0.01).
“More importantly, a significant interaction effect between message framing and FR was observed (β = 0.152, SE = 0.055, t = 2.743, p < 0.01).”
Quote in the paperSubstantial claim - Findingown data
Message framing significantly affected voluntary engagement intention (VEI), with the loss-framed group showing higher VEI than the gain-framed group.
“The ANCOVA results revealed a significant effect of message framing on VEI [F(1,782) = 9.723, p < 0.001].”
- Also stated in: § Results of ANCOVA · plain
“Post-hoc mean comparisons with Bonferroni correction indicated that the gain-framed group exhibited significantly lower behavioral intention (M = 3.99, SE = 0.038) compared to the loss-framed group (M = 4.58, SE = 0.078). This difference was further validated through t-test analysis (t = −6.834, p < 0.001).”
- Also stated in: § Results of path & mediation analysis · hedged
“After incorporating the mediating variable CCA, message framing maintained a significant direct effect on VEI (β = −0.344, S.E. = 0.066, p < 0.001, 95% CI [−0.472, −0.215]), further supporting H1 and indicating that the loss-framed group demonstrated higher VEI compared to the gain-framed group.”
Quote in the paperSubstantial claim - Also stated in: § Results of ANCOVA · plain
- Findingown data
Climate change anxiety (CCA) partially mediates the effect of message framing on VEI (β = −0.249).
“Furthermore, the partial mediating effect of CCA (β = −0.249) reveals the significance of emotional mechanisms in message framing.”
- Also stated in: § Conclusion · plain
“Climate anxiety partially mediates this effect, revealing emotional pathways in climate communication.”
Quote in the paperSubstantial claim - Also stated in: § Conclusion · plain
- Findingcitation
Felt responsibility (FR) significantly moderates the impact of message framing on CCA and VEI.
“FR significantly moderates the impact of message framing on CCA and VEI”
Quote in the paperSubstantial claim - Findingown data
Loss-framed messages more effectively enhance personal carbon trading (PCT) participation intentions (VEI) than gain-framed messages (Mloss = 4.58 vs. Mgain = 3.99).
“First, the study validates the superiority of loss-framed over gain-framed condition in stimulating VEI (Mloss = 4.58 vs. Mgain = 3.99)”
- Also stated in: § Conclusion · boosted
“This study demonstrates that loss-framed messages more effectively enhance PCT participation intentions than gain-framed messages, validating Prospect Theory in carbon governance contexts.”
- Also stated in: § Practical discussion · plain
“Loss-framed messages emphasizing environmental consequences of inaction (e.g., air pollution intensification, extreme weather events) more effectively enhance participation intentions than gain-framed messages highlighting economic returns [67].”
Quote in the paperSubstantial claim - Also stated in: § Conclusion · boosted
- Findingreasoning
Gain-framed messages are more suitable for low FR/GSE groups.
“For low FR/GSE groups, gain-framed messages paired with efficacy-enhancing information (e.g., “75% of users complete carbon trading through simple steps”) prove more effective.”
- Also stated in: § Conclusion · plain
“gain-framed messages prove more suitable for low FR/GSE groups”
Quote in the paperSubstantial claim - Also stated in: § Conclusion · plain
- Findingreasoning
Green self-efficacy (GSE) enhances the positive effect of loss-framed message on VEI.
“Meanwhile, GSE’s enhancement of the positive effect of loss-framed message on VEI corresponds with the core hypothesis of self-efficacy theory”
Quote in the paperSubstantial claim - Findingreasoning
Loss-framed messages are more effective for individuals with high FR/GSE.
“For high FR/GSE individuals, loss-framed messages align with their risk-averse orientation and action confidence.”
- Also stated in: § Conclusion · plain
“loss-framed messages excel for high FR/GSE individuals”
Quote in the paperSubstantial claim - Also stated in: § Conclusion · plain
- Premisecitation
Prior studies consistently show that GSE is positively associated with green behaviors, including energy conservation, recycling, and low-carbon lifestyle choices.
“Prior studies consistently show that GSE is positively associated with green behaviors, including energy conservation, recycling, and low-carbon lifestyle choices [41].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [41] Khan AN. Elucidating the effects of environmental consciousness and environmental attitude on green travel behavior: moderating role of green self-efficacy. Sustain Dev. 2024;32(3):2223–32. source
- Premisecitation
Moderate anxiety can motivate pro-environmental intentions and behaviors.
“While moderate anxiety can motivate pro-environmental intentions and behaviors [24], excessive anxiety may trigger avoidance, helplessness, or psychological disengagement [26, 27].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] Clayton S, Karazsia BT. Development and validation of a measure of climate change anxiety. J Environ Psychol. 2020;69:101434. source
- Interpretationreasoning
Without a belief in one's own ability, anxiety may fail to produce meaningful behavioral outcomes.
“Without such a belief in one’s own ability, anxiety may fail to produce meaningful behavioral outcomes.”
Quote in the paperSubstantial claim - Premisecitation
Evidence from large-scale cross-national studies has demonstrated a positive relationship between individuals' climate-related anxiety and their engagement in sustainable behaviors such as energy conservation, ethical consumption, and voluntary carbon offsetting.
“Evidence from large-scale cross-national studies has demonstrated a positive relationship between individuals’ climate-related anxiety and their engagement in sustainable behaviors such as energy conservation, ethical consumption, and voluntary carbon offsetting [31].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] Ogunbode CA, Doran R, Hanss D, Ojala M, Salmela-Aro K, van den Broek KL, et al. Climate anxiety, wellbeing and pro-environmental action: correlates of negative emotional responses to climate change in 32 countries. J Environ Psychol. 2022;84:101887. source
Not checked in the free run.
- Premisecitation
Empirical studies in environmental psychology have consistently supported the applicability of Prospect Theory, demonstrating that loss-framed messages are generally more persuasive than gain-framed messages in encouraging pro-environmental behaviors.
“Empirical studies in environmental psychology have consistently supported the applicability of Prospect Theory, demonstrating that loss-framed messages are generally more persuasive than gain-framed messages in encouraging pro-environmental behaviors.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [19] Amatulli C, De Angelis M, Peluso AM, Soscia I, Guido G. The effect of negative message framing on green consumption: an investigation of the role of shame. J Bus Ethics. 2019;157(4):1111–32. source
- cites [20] Grazzini L, Rodrigo P, Aiello G, Viglia G. Loss or gain? The role of message framing in hotel guests’ recycling behaviour. J Sustainable Tourism. 2018;26(11):1944–66. source
- cites [21] Gonzales MH, Aronson E, Costanzo MA. Using social cognition and persuasion to promote energy conservation: a quasi-experiment 1. J Appl Soc Psychol. 1988;18(12):1049–66. source
- cites [22] Nabi RL, Gustafson A, Jensen R. Framing climate change: exploring the role of emotion in generating advocacy behavior. Sci Communication. 2018;40(4):442–68. source
- Study design and conductown data
The manipulation check confirmed successful framing: gain-framed group participants rated messages as more gain-framed (M = 5.47, SD = 1.23) than loss-framed group (M = 2.81, SD = 1.19), t(786) = 30.42, p < 0.001, Cohen's d = 2.19.
“Firstly, manipulation check confirmed successful framing. Gain-framed group participants rated messages as more gain-framed (M = 5.47, SD = 1.23) than loss-framed group (M = 2.81, SD = 1.19), t(786) = 30.42, p < 0.001, Cohen’s d = 2.19.”
Quote in the paperSubstantial claim - Premisecitation
People with a strong sense of responsibility tend to view climate threats as directly relevant to themselves, often interpreting environmental issues as ethical imperatives that demand personal engagement.
“People with a strong sense of responsibility tend to view climate threats as directly relevant to themselves, often interpreting environmental issues as ethical imperatives that demand personal engagement [32].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] Punzo G, Panarello D, Pagliuca MM, Castellano R, Aprile MC. Assessing the role of perceived values and felt responsibility on pro-environmental behaviours: a comparison across four EU countries. Environ Sci Policy. 2019;101:311–22. source
- Study design and conductown data
The dataset was suitable for factor analysis: KMO = 0.971 and Bartlett's test of sphericity p < 0.001.
“The results yielded a KMO value of 0.971, surpassing the threshold of 0.8, while Bartlett’s test of sphericity demonstrated statistical significance (p < 0.001), confirming the dataset’s appropriateness for CFA.”
Quote in the paperSubstantial claim - Study design and conductown data
Composite reliability scores for all constructs exceeded 0.7: 0.946 (CCA), 0.932 (VEI), 0.873 (FR), and 0.890 (GSE).
“Furthermore, the composite reliability (CR) scores for all constructs exceeded the 0.7 threshold, specifically: 0.946 (CCA), 0.932 (VEI), 0.873 (FR), and 0.890 (GSE).”
Quote in the paperNot a substantial claim - Interpretationown data
CCA partially mediates the relationship between message framing and VEI.
“The path analysis results suggest that CCA partially mediates the relationship between message framing and VEI.”
- Also stated in: § Results of path & mediation analysis · plain
“The results revealed a significant mediating effect of CCA (Effect = −0.249, BootSE = 0.054, 95% CI [−0.352, −0.141]).”
- Also stated in: § Results of PLS-SEM · plain
“Furthermore, the mediating effect of CCA was found to be significant (effect = −0.138, SD = 0.028, T = 4.941, p < 0.001), with 47.5% and 64.9% of the variance explained in CCA and VEI respectively.”
Quote in the paperSubstantial claim - Also stated in: § Results of path & mediation analysis · plain
- Premisecitation
Framing systematically influences emotional responses, particularly risk perceptions and affective states such as worry and fear.
“Beyond shaping behavioral decisions, framing systematically influences emotional responses, particularly risk perceptions and affective states such as worry and fear [15].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15] Dai J, Gong S. Sustainable messaging strategies and consumer food waste: the congruence effect between message framing and state anxiety. J Retail Consum Serv. 2024;79:103817. source
- Premisecitation
Loss-framed messages are especially likely to elicit emotional arousal compared to gain-framed messages.
“Loss-framed messages, which emphasize the adverse consequences of inaction, are especially likely to elicit emotional arousal compared to gain-framed messages that focus on positive outcomes [29].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [29] Bilandzic H, Kalch A, Soentgen J. Effects of goal framing and emotions on perceived threat and willingness to sacrifice for climate change. Sci Commun. 2017;39(4):466–91. source
Checked before — its earlier verdict is held back until a new check runs.
- Interpretationreasoning
Individuals respond to CCA by increasing low-carbon behavioral intention as a way to cope with distress and restore a sense of agency.
“In many cases, individuals respond to CCA by increasing low-carbon behavioral intention as a way to cope with distress and restore a sense of agency.”
Quote in the paperSubstantial claim - Interpretationown data
The findings provide support for H4b (FR moderates the effect of message framing on CCA).
“These findings provide support for H4b.”
Quote in the paperSubstantial claim - Premisecitation
According to Prospect Theory, individuals demonstrate loss aversion-they are generally more motivated to avoid losses than to achieve equivalent gains.
“According to Prospect Theory, individuals demonstrate loss aversion—that is, they are generally more motivated to avoid losses than to achieve equivalent gains [18].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18] Kai-Ineman D, Tversky A. Prospect theory: an analysis of decision under risk. Econometrica. 1979;47(2):363–91.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
GSE has been widely recognized as a key psychological driver of sustained environmental behavior.
“It has been widely recognized as a key psychological driver of sustained environmental behavior [39].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [39] Mo Z, Liu MT, Wu P. Shaping employee green behavior: a multilevel approach with Pygmalion effect. Asia Pac J Mark Logistics. 2022;34(2):322–49. source
- Premisecitation
Anxiety's effects depend on intensity levels and individual psychological resources such as self-efficacy.
“This dual nature suggests anxiety’s effects depend on intensity levels and individual psychological resources such as self-efficacy [28].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28] Witte K. Putting the fear back into fear appeals: the extended parallel process model. Commun Monogr. 1992;59(4):329–49. source
- Study design and conductown data
Discriminant validity was acceptable: the square root of AVE for each construct was greater than the absolute values of its correlations with other constructs.
“As presented in Table 3, the square root of AVE for each construct (reported on the diagonal of the correlation matrix) was greater than the absolute values of its correlations with other constructs, demonstrating acceptable discriminant validity.”
Quote in the paperNot a substantial claim - Study design and conductown data
No obvious multicollinearity among measured items: VIF values were all below 5, ranging from 1.401 (GSE1) to 2.867 (VEI1).
“The Variance Inflation Factor (VIF) values for all items were below the threshold of 5, ranging from 1.401 (GSE1) to 2.867 (VEI1), suggesting no obvious multicollinearity issues among the measured items.”
Quote in the paperNot a substantial claim - Interpretationown data
Participants correctly perceived framing valence as intended.
“This large effect indicates participants correctly perceived framing valence as intended.”
Quote in the paperSubstantial claim - Premisecitation
Individuals with high FR often process climate-related messages through a morally engaged lens, perceiving the consequences of inaction as personally relevant and ethically significant.
“Furthermore, individuals with high FR often process climate-related messages through a morally engaged lens, perceiving the consequences of inaction as personally relevant and ethically significant [35].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] Gifford R. The dragons of inaction: psychological barriers that limit climate change mitigation and adaptation. Am Psychol. 2011;66(4):290. source
- Premisecitation
Individuals who report higher levels of FR are generally more motivated to engage in climate mitigation behaviors.
“Research has shown that individuals who report higher levels of FR are generally more motivated to engage in climate mitigation behaviors [33].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] Qin Z, Wu Q, Bi C, Deng Y, Hu Q. The relationship between climate change anxiety and pro-environmental behavior in adolescents: the mediating role of future self-continuity and the moderating role of green self-efficacy. BMC Psychol. 2024;12(1):241. source
Checked before — its earlier verdict is held back until a new check runs.
- Premisecitation
Individuals with low GSE may view the same loss-framed messages as intimidating or demotivating, since they do not believe their actions will make a significant difference.
“Conversely, individuals with low GSE may view the same loss-framed messages as intimidating or demotivating, since they do not believe their actions will make a significant difference [45].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [45] Witte K, Allen M. A meta-analysis of fear appeals: implications for effective public health campaigns. Health Educ Behav. 2000;27(5):591–615. source
- Interpretationreasoning
Self-efficacy serves as a psychological bridge that allows emotional responses like anxiety to be channeled into action.
“In other words, self-efficacy serves as a psychological bridge that allows emotional responses like anxiety to be channeled into action.”
Quote in the paperSubstantial claim - Interpretationown data
Climate anxiety functions as a constructive motivator rather than merely a negative state.
“climate anxiety functions as a constructive motivator rather than merely a negative state”
Quote in the paperSubstantial claim - Interpretationcitation
A threat-efficacy balance approach transforms anxiety into actionable motivation.
“This threat-efficacy balance approach transforms anxiety into actionable motivation [69].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [69] Marlon, JR, Bloodhart, B, Ballew, MT, Rolfe-Redding, J, Roser-Renouf, C, Leiserowitz, A, Maibach, E. How hope and doubt affect climate change mobilization. Frontiers in Communication. 2019;4:20. source
Checked before — its earlier verdict is held back until a new check runs.
- Interpretationown data
These patterns were consistent across PROCESS and PLS-SEM analyses.
“These patterns were consistent across PROCESS and PLS-SEM analyses.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Communication effectiveness is contingent on recipient psychological traits.
“communication effectiveness is contingent on recipient psychological traits”
Quote in the paperSubstantial claim - Interpretationown data
Climate change anxiety can be transformed into a driving force for low-carbon behavioral intention under specific conditions such as loss-framed conditions.
“this study further demonstrates that CCA can be transformed into a driving force for low-carbon behavioral intention under specific conditions (such as loss-framed conditions), providing empirical support for the concept of “adaptive anxiety” [63].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [63] Gutiérrez-García AG, Contreras CM. Anxiety: an adaptive emotion. New Insights into Anxiety Disorders. 2013;1(2):21–37.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductown data
By recruiting exclusively from mainland China, the study cannot determine whether findings extend to other cultural contexts.
“Second, by recruiting exclusively from mainland China, we cannot determine whether our findings extend to other cultural contexts.”
Quote in the paperNot a substantial claim - Interpretationown data
These findings advance understanding of how affective and cognitive pathways jointly shape behavioral intention in market-based environmental policies.
“These findings advance understanding of how affective and cognitive pathways jointly shape behavioral intention in market-based environmental policies.”
Quote in the paperNot a substantial claim - Interpretationown data
This research contributes to theory by identifying and validating a framing-anxiety-intention pathway that is contingent on individual psychological characteristics, specifically in the context of market-based environmental policies.
“This research contributes to theory by identifying and validating a framing-anxiety-intention pathway that is contingent on individual psychological characteristics, specifically in the context of market-based environmental policies.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Reliance on online recruitment platforms may have systematically excluded rural residents, elderly populations, and economically disadvantaged groups who have limited internet access or lower digital engagement.
“Third, our reliance on online recruitment platforms may have systematically excluded rural residents, elderly populations, and economically disadvantaged groups who have limited internet access or lower digital engagement.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Effective climate communication requires audience segmentation rather than uniform messaging.
“These findings underscore that effective climate communication requires audience segmentation rather than uniform messaging—a critical insight for designing behavior change interventions in voluntary carbon markets.”
Quote in the paperSubstantial claim - Premisecitation
Excessive threat emphasis may cause disengagement.
“While loss-framed messages effectively trigger climate anxiety, excessive threat emphasis may cause disengagement [68].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [68] Ojala M. Regulating worry, promoting hope: how do children, adolescents, and young adults cope with climate change? Int J Environ Sci Educ. 2012;7(4):537–61.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Anxiety's motivational function is conditional rather than universal.
“This underscores that anxiety’s motivational function is conditional rather than universal.”
Quote in the paperSubstantial claim - Interpretationcitation
Loss-framed messages motivate individual action by triggering loss aversion psychology regarding avoiding environmental deterioration.
“Loss-framed message more effectively motivates individual action by triggering loss aversion psychology regarding avoiding environmental deterioration [60].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [60] Tversky A, Kahneman D. Loss aversion in riskless choice: a reference-dependent model. Q J Econ. 1991;106(4):1039–61. source
- Interpretationreasoning
The effectiveness of message framing is highly dependent on individual psychological traits.
“These findings indicate that the effectiveness of message framing is highly dependent on individual psychological traits, providing theoretical foundation for “personalized information design” [66].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [66] Chen M-F, Tung P-J. Developing an extended theory of planned behavior model to predict consumers’ intention to visit green hotels. Int J Hosp Manage. 2014;36:221–30. source
- Interpretationown data
Loss aversion operates even when economic incentives are present.
“We demonstrate that: (1) loss aversion operates even when economic incentives are present”
Quote in the paperSubstantial claim
- May combine two claims. 46
- Classified as probably not a substantial claim. 35
May combine two claims.
PremisecitationPCT involves a dual-layered feedback structure: immediate economic feedback through market transactions versus delayed collective environmental outcomes, creating psychological tension between tangible financial signals and abstract climate goals.
“Third, PCT involves a dual-layered feedback structure: immediate economic feedback through market transactions versus delayed collective environmental outcomes. This creates psychological tension between tangible financial signals and abstract climate goals—a complexity absent in purely altruistic behaviors like recycling or donating [12].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [12] Brekke KA, Kverndokk S, Nyborg K. An economic model of moral motivation. J Public Econ. 2003;87(9–10):1967–83. source
Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationConfidence enables high-efficacy individuals to interpret climate threats not as paralyzing, but as challenges that they can help resolve-thus transforming concern into proactive engagement.
“Their confidence enables them to interpret climate threats not as paralyzing, but as challenges that they can help resolve—thus transforming concern into proactive engagement [44].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [44] Van Zomeren M, Spears R, Leach CW. Experimental evidence for a dual pathway model analysis of coping with the climate crisis. J Environ Psychol. 2010;30(4):339–46. source
The Abstract and §7.1 report that group efficacy beliefs increase environmental action intentions, supporting the link between confidence in collective action and engagement. But §7.1 says group efficacy is not required for fear to motivate action; the paper does not establish that high-efficacy individuals reinterpret climate threats as challenges or that confidence transforms concern into action. Page numbers were not supplied in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationOther broader potential mechanisms such as environmental identity or moral obligation have not been encompassed.
“Although the mediating role of CCA has been revealed, other broader potential mechanisms (such as environmental identity or moral obligation) have not been encompassed [74].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [74] Whitmarsh L, O’Neill S. Green identity, green living? The role of pro-environmental self-identity in determining consistency across diverse pro-environmental behaviours. J Environ Psychol. 2010;30(3):305–14. source
The paper’s Results (p. 19) identify pro-environmental self-identity as a predictor of several behaviours, supporting environmental identity as a potential broader mechanism. It does not establish moral obligation as a mechanism. The statement that these mechanisms were not encompassed concerns the citing study, not a finding of this source. (LLM, conf=0.82)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataBoth message framing (β = −0.9864, SE = 0.2320, t = −4.253, p < 0.001) and felt responsibility (FR) (β = 0.621, SE = 0.042, t = 14.877, p < 0.001) significantly predicted CCA.
“The analysis revealed that both message framing (β = −0.9864, SE = 0.2320, t = −4.253, p < 0.001) and FR (β = 0.621, SE = 0.042, t = 14.877, p < 0.001) significantly predicted CCA.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe interaction effects between message framing and FR (β = −0.246, SE = 0.053, t = −4.624, p < 0.001) and between message framing and GSE (β = −0.543, SE = 0.052, t = −10.543, p < 0.001) significantly influenced VEI.
“The moderation analysis indicated that the interaction effects between message framing and FR (β = −0.246, SE = 0.053, t = −4.624, p < 0.001), as well as between message framing and GSE (β = −0.543, SE = 0.052, t = −10.543, p < 0.001), significantly influenced VEI.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe direct effect of message framing was jointly moderated by FR and GSE: under low FR and low GSE, message framing had a significant positive effect (Effect = 1.0435, p < 0.001); under high FR and high GSE, the effect became a significant negative relationship (Effect = −1.416, p < 0.001).
“Conditional effects analysis further revealed that the direct effect of message framing was jointly moderated by FR and GSE. Specifically, under conditions of low FR (M-1SD) and low GSE (M-1SD), message framing exhibited a significant positive effect (Effect = 1.0435, p < 0.001); whereas under conditions of high FR (M + 1SD) and high GSE (M + 1SD), this effect transformed into a significant”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFigure 2a shows both lines slope downward, indicating CCA decreases from loss to gain-framed messages regardless of FR level; the low FR line shows a steeper decline than the high FR line; the high FR line sits above the low FR line.
“Figure 2a illustrates how FR moderates framing effects on CCA. Two key patterns emerge. First, both lines slope downward, indicating CCA decreases when moving from loss to gain-framed messages regardless of FR level. However, the low FR line (dashed) shows a steeper decline than the high FR line (solid), demonstrating stronger framing sensitivity among low-FR individuals. Second, the high FR line”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe mediation model was significant [F(2,785) = 352.8907, p < 0.001] and explained 47.34% of the variance in VEI (R2 = 0.473).
“The overall model demonstrated statistical significance [F(2, 785) = 352.8907, p < 0.001] and explained 47.34% of the variance in the dependent variable (R² = 0.473).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe negative effect of message framing on CCA was strongest at low FR (M-1SD; Effect = −0.652, p < 0.001) and weakest at high FR (M+1SD; Effect = −0.196, p < 0.05).
“Simple slope analysis demonstrated that the negative effect of message framing on CCA was strongest at low levels of FR (M-1SD; Effect = −0.652, p < 0.001) and weakest at high levels of FR (M + 1SD; Effect = −0.196, p < 0.05).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWhen VEI is the dependent variable, message framing (β = 2.853, SE = 0.201, t = 14.191, p < 0.001), CCA (β = 0.571, SE = 0.077, t = 7.464, p < 0.001), FR (β = 0.212, SE = 0.039, t = 5.384, p < 0.001), and green self-efficacy (GSE) (β = 0.559, SE = 0.075, t = 7.449, p < 0.001) all had significant effects on VEI.
“message framing (β = 2.853, SE = 0.201, t = 14.191, p < 0.001), CCA (β = 0.571, SE = 0.077, t = 7.464, p < 0.001), FR (β = 0.212, SE = 0.039, t = 5.384, p < 0.001), and GSE (β = 0.559, SE = 0.075, t = 7.449, p < 0.001) all demonstrated significant effects on VEI.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFigure 2c shows a similar crossover pattern: high-GSE individuals exhibit substantially higher VEI under loss-framed messages than gain-framed messages; low-GSE individuals show minimal framing sensitivity, with slightly higher VEI under gain-framed messages.
“Figure 2c shows GSE’s moderating role on framing-VEI relationships, displaying a similar crossover pattern. High-GSE individuals (solid line) exhibit substantially higher VEI under loss-framed messages than gain-framed messages—the line slopes steeply downward. Low-GSE individuals (dashed line) show minimal framing sensitivity, with slightly higher VEI under gain-framed messages.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFigure 2b reveals a crossover interaction: for high-FR individuals, VEI decreases sharply from loss to gain-framed messages; for low-FR individuals, VEI increases modestly from loss to gain-framed messages.
“Figure 2b depicts how FR moderates framing effects on VEI, revealing a crossover interaction. For high-FR individuals (solid line), VEI decreases sharply from loss to gain-framed messages—loss-framed messages are substantially more motivating. For low-FR individuals (dashed line), the pattern reverses slightly: VEI increases modestly from loss to gain-framed messages, suggesting gain-framed”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationPersonal Carbon Trading (PCT) is often viewed as a relatively radical policy approach and faces considerable challenges in garnering public support and participation.
“However, despite its conceptual appeal, PCT is often viewed as a relatively radical policy approach and faces considerable challenges in garnering public support and participation [7].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] Fan J, Wang S, Wu Y, Li J, Zhao D. Buffer effect and price effect of a personal carbon trading scheme. Energy. 2015;82:601–10. source
Checked before — its earlier verdict is held back until a new check runs.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPublic acceptance of PCT schemes is primarily shaped by factors such as policy design, perceived fairness, and environmental effectiveness.
“Existing studies have shown that public acceptance of PCT schemes is primarily shaped by factors such as policy design, perceived fairness, and environmental effectiveness [8].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [8] Bristow AL, Wardman M, Zanni AM, Chintakayala PK. Public acceptability of personal carbon trading and carbon tax. Ecol Econ. 2010;69(9):1824–37. source
May combine two claims.
PremisecitationPCT operates as a market-based mechanism involving economic transactions rather than purely altruistic actions, potentially creating conflicts between environmental values and economic rationality.
“First, PCT operates as a market-based mechanism involving economic transactions rather than purely altruistic actions, potentially creating conflicts between environmental values and economic rationality [9].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] Frey BS, Oberholzer-Gee F. The cost of price incentives: an empirical analysis of motivation crowding-out. Am Econ Rev. 1997;87(4):746–55.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationHouseholds are estimated to account for approximately 72% of global carbon emissions, with residential energy consumption representing the largest end-use sector.
“Households are estimated to account for approximately 72% of global carbon emissions, with residential energy consumption representing the largest end-use sector [4, 5].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [4] Kenny T, Gray N. Comparative performance of six carbon footprint models for use in Ireland. Environ Impact Assess Rev. 2009;29(1):1–6. source
- cites [5] Du M, Zhang X, Xia L, Cao L, Zhang Z, Zhang L, et al. The China carbon watch (CCW) system: a rapid accounting of household carbon emissions in China at the provincial level. Renew Sustain Energy Rev. 2022;155:111825. source
May combine two claims.
Study design and conductcitationGSE1 was retained because the overall GSE construct demonstrated adequate validity (CR = 0.890, AVE = 0.528, α = 0.821), and loadings above 0.60 are considered acceptable when construct-level metrics are strong.
“While GSE1’s loading falls below the conventional 0.70 threshold, we retained it because the overall GSE construct demonstrated adequate validity (CR = 0.890, AVE = 0.528, α = 0.821), and loadings above 0.60 are considered acceptable when construct-level metrics are strong [54].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54] Hair JF, Risher JJ, Sarstedt M, Ringle CM. When to use and how to report the results of PLS-SEM. Eur Bus Rev. 2019;31(1):2–24. source
May combine two claims.
Interpretationown dataLoss-framed promotional messages effectively enhance individuals' participation intention in personal carbon trading, supporting H1.
“The empirical findings support that message framing has a significant impact on individuals’ willingness to participate in carbon trading, with loss-framed promotional messages effectively enhancing individuals’ participation intention in PCT, thereby supporting H1.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationAnxiety is considered an adaptive response to perceived threat, functioning to enhance attentional focus and motivate protective actions.
“Anxiety, in this context, is considered an adaptive response to perceived threat, functioning to enhance attentional focus and motivate protective actions [24].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] Clayton S, Karazsia BT. Development and validation of a measure of climate change anxiety. J Environ Psychol. 2020;69:101434. source
Classified as probably not a substantial claim.
Study design and conductnone givenThe framing stimuli were designed with information equivalence: both framing groups contained identical information content and specific data, differing only in presentation style.
“(1) Information equivalence: Both framing groups contained identical information content and specific data, differing only in presentation style;”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe impact of CCA on VEI does not significantly vary across different individual GSE levels, so H5b was not supported.
“This indicates that the impact of CCA on VEI does not significantly vary across different individual GSE levels, thus H5b was not supported.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataThe questionnaire had high reliability: overall Cronbach's α = 0.953, with construct alphas 0.938 (CCA), 0.913 (VEI), 0.818 (FR), and 0.821 (GSE).
“Initially, reliability analysis revealed an overall Cronbach’s α of 0.953 for the questionnaire, with all constructs’ values exceeding 0.7: 0.938 (CCA), 0.913 (VEI), 0.818 (FR), and 0.821 (GSE).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataFraming effectiveness varies by psychological trait: loss-framed messages prove more effective for high FR/GSE individuals, while gain-framed messages show advantages for low FR/GSE groups.
“Importantly, framing effectiveness varies by psychological trait: loss-framed messages prove more effective for high FR/GSE individuals, while gain-framed messages show advantages for low FR/GSE groups.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductreasoningThe measurement instruments were translated and back-translated to ensure cross-cultural validity, with pilot feedback and independent bilingual experts.
“Given that these items were adapted from previously validated English scales with positive reporting outcomes, the research team implemented a rigorous translation-back-translation procedure to ensure cross-cultural validity of the measurement instruments.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataAfter including DI1-DI4 as covariates, all path relationships and mediation effects remained significant, demonstrating robustness.
“Furthermore, after including DI1-DI4 as covariates, all path relationships and mediation effects remained significant, demonstrating the robustness of our findings.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown data112 participants either withdrew from the experiment or failed to pass the screening process.
“112 participants either withdrew from the experiment or failed to pass the screening process.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationMessage framing operates as a strategic communication tool whose persuasive power depends on both message content and recipients' cognitive-emotional processing.
“Message framing operates as a strategic communication tool whose persuasive power depends on both message content and recipients’ cognitive-emotional processing [23].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Zhang M, Zhang G-y, Gursoy D. Fu X-r: message framing and regulatory focus effects on destination image formation. Tour Manag. 2018;69:397–407. source
May combine two claims.
PremisecitationEmpirical research has demonstrated that those with high GSE are more likely to respond to CCA with proactive behaviors, while individuals low in efficacy are more prone to helplessness or withdrawal.
“Supporting this view, empirical research has demonstrated that those with high GSE are more likely to respond to CCA with proactive behaviors, while individuals low in efficacy are more prone to helplessness or withdrawal [33].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] Qin Z, Wu Q, Bi C, Deng Y, Hu Q. The relationship between climate change anxiety and pro-environmental behavior in adolescents: the mediating role of future self-continuity and the moderating role of green self-efficacy. BMC Psychol. 2024;12(1):241. source
Checked before — its earlier verdict is held back until a new check runs.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataThe relationships among all variables demonstrated high consistency across both PLS-SEM and PROCESS methodologies, suggesting robust research findings.
“In summary, the relationships among all variables demonstrated high consistency across both PLS-SEM and PROCESS methodologies, suggesting robust research findings.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIndividuals with high levels of self-efficacy tend to be more motivated, persistent, and confident in their capacity to address environmental issues.
“Individuals with high levels of self-efficacy tend to be more motivated, persistent, and confident in their capacity to address environmental issues [40].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] Savari M, Naghibeiranvand F, Asadi Z. Modeling environmentally responsible behaviors among rural women in the forested regions in Iran. Glob Ecol Conserv. 2022;35:e02102.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
PremisecitationLoss-framed messages tend to evoke stronger behavioral responses among high-efficacy individuals because such messages are perceived as both personally relevant and actionable.
“In particular, loss-framed messages, which highlight the negative consequences of failing to act, tend to evoke stronger behavioral responses among high-efficacy individuals because such messages are perceived as both personally relevant and actionable [43].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [43] Florence ES, Fleischman D, Mulcahy R, Wynder M. Message framing effects on sustainable consumer behaviour: a systematic review and future research directions for social marketing. J Social Mark. 2022;12(4):623–52.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductown dataThe study used a randomized group experimental design with 788 participants, randomly assigned evenly to a gain-framed group (n = 394) and a loss-framed group (n = 394).
“This study employed a randomized group experimental design with a total of 788 participants. Through random assignment, participants were evenly divided into a gain-framed group (n = 394) and a loss-framed group (n = 394).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenAll returned questionnaires underwent a rigorous screening process, including attention check verification, IP address uniqueness verification, and a minimum completion time threshold of 150 s.
“All returned questionnaires underwent a rigorous screening process, including attention check verification, IP address uniqueness verification, and a minimum completion time threshold of 150 s.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataCFA showed all items except GSE1 had factor loadings greater than 0.7, ranging from 0.717 (GSE5) to 0.869 (VEI1); GSE1 had a loading of 0.653.
“The CFA results revealed that, with the exception of item GSE1 (0.653), all items exhibited factor loadings greater than 0.7, ranging from 0.717 (GSE5) to 0.869 (VEI1).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Study design and conductnone givenHaving participants first receive neutral introductory information before the framing treatment effectively controlled for confounding effects arising from differences in prior knowledge.
“By having participants first receive neutral introductory information before the framing treatment, we effectively controlled for confounding effects arising from differences in prior knowledge.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningParticipants were not informed that message framing was the experimental manipulation, to minimize demand effects.
“To minimize demand effects, participants were not informed that message framing was the experimental manipulation.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataParticipants were randomly recruited through a leading Chinese online experimental management platform.
“900 Chinese citizens eligible for PCT were randomly recruited through a leading Chinese online experimental management platform (Wenjuanxing, www.wjx.cn).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningQuota sampling was employed to maintain a relatively balanced gender distribution to ensure sample representativeness.
“To ensure sample representativeness, we employed quota sampling to maintain a relatively balanced gender distribution.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe loss-framed group not only directly enhanced VEI but also indirectly promoted VEI by increasing individuals' CCA.
“Specifically, loss-framed group (compared to gain-framed group) not only directly enhanced VEI but also indirectly promoted VEI by increasing individuals’ CCA.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataParticipants were randomly assigned to either a gain-framed group or a loss-framed group.
“Subsequently, participants were randomly assigned to either a gain-framed group or a loss-framed group, receiving differently framed PCT promotional messages.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationAccording to fear appeal theories, individuals must believe that they have the capacity to mitigate a threat in order for fear to lead to constructive action; otherwise, fear may result in psychological disengagement or avoidance.
“According to fear appeal theories, individuals must believe that they have the capacity to mitigate a threat in order for fear to lead to constructive action; otherwise, fear may result in psychological disengagement or avoidance [42].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [42] Armbruster ST, Manchanda RV, Vo N. When are loss-framed messages more effective in climate change communication? An application of fear appeal theory. Sustainability. 2022;14(12):7411. source
Checked before — its earlier verdict is held back until a new check runs.
Classified as probably not a substantial claim.
Study design and conductnone givenThe framing stimuli were designed with structural consistency: maintaining identical sentence structures and linguistic complexity.
“(2) Structural consistency: Maintaining identical sentence structures and linguistic complexity;”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataOptimal framing depends on audience responsibility levels: loss-framed messages excel for high-FR groups, while gain-framed messages show relative advantages for low-FR groups.
“The crossing pattern indicates optimal framing depends on audience responsibility levels: loss-framed messages excel for high-FR groups, while gain-framed messages show relative advantages for low-FR groups.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationA meta-analysis of 61 framing studies in environmental communication revealed that loss-framed appeals were generally more effective in shaping intentions and behaviors, particularly through the evocation of negative emotions such as anxiety and fear.
“A meta-analysis of 61 framing studies in environmental communication revealed that loss-framed appeals were generally more effective in shaping intentions and behaviors, particularly through the evocation of negative emotions such as anxiety and fear [30].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [30] Homar AR, Cvelbar LK. The effects of framing on environmental decisions: a systematic literature review. Ecol Econ. 2021;183:106950. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningThe final dataset comprised 788 valid responses, yielding an effective response rate of 87.56%.
“The final dataset comprised 788 valid responses, yielding an effective response rate of 87.56%.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataAverage Variance Extracted values for all constructs exceeded 0.5: 0.576 (CCA), 0.696 (VEI), 0.578 (FR), and 0.528 (GSE), indicating acceptable convergent validity.
“The Average Variance Extracted (AVE) values for all constructs exceeded the recommended threshold of 0.5, specifically 0.576 (CCA), 0.696 (VEI), 0.578 (FR), and 0.528 (GSE), indicating acceptable convergent validity.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataIndividuals confident in their environmental capabilities respond more strongly to threat-based messaging, whereas those lacking confidence benefit more from opportunity-focused appeals.
“This pattern suggests that individuals confident in their environmental capabilities respond more strongly to threat-based messaging, whereas those lacking confidence benefit more from opportunity-focused appeals.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataIndividuals with strong environmental responsibility maintain elevated anxiety even under gain framing, while low-FR individuals' anxiety is more malleable by message tone.
“Substantively, this suggests individuals with strong environmental responsibility maintain elevated anxiety even under gain framing, while low-FR individuals’ anxiety is more malleable by message tone.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationExposure time for promotional messages was fixed at 30 s for both groups.
“(4) Exposure time control: The viewing duration for promotional messages was fixed at 30 s for both groups, during which participants could independently read the framing message to ensure thorough comprehension [47].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [47] Rothman AJ, Salovey P. Shaping perceptions to motivate healthy behavior: the role of message framing. Psychol Bull. 1997;121(1):3. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenData collection relied entirely on anonymous questionnaires, with no personal identifiers collected.
“Notably, our data collection relied entirely on anonymous questionnaires, with no personal identifiers collected.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataParticipants were presented with a comprehensive disclosure statement outlining research objectives, methodological approach, risks and rewards, privacy protection protocols, and emphasizing voluntary participation.
“Participants accessed an online survey platform where they were first presented with a comprehensive disclosure statement. This statement outlined the research objectives, methodological approach, associated risks and rewards, privacy protection protocols, and emphasized the voluntary nature of participation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningThe study controlled and limited participants' discussion of the experiment and prevented exposure to other participants to enhance internal validity and minimize demand characteristics.
“Throughout the experimental procedure, we attempted to enhance internal validity by controlling and limiting participants’ discussion of the experiment, and minimize demand characteristics by preventing exposure to other participants.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenBoth sets of information maintained consistency in structure and complexity, differing only in their framing orientation.
“Both sets of information maintained consistency in structure and complexity, differing only in their framing orientation.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThe framing stimuli were designed with comprehensibility: clear and easily understandable expressions.
“(3) Comprehensibility: Considering potential heterogeneity in participants’ comprehension abilities, we employed clear and easily understandable expressions;”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataPLS-SEM model fit was acceptable: SRMR = 0.092, d_G = 0.554, and NFI = 0.898.
“The model fit evaluation revealed that the Standardized Root Mean Square Residual (SRMR) was 0.092, which is below the threshold of 0.1; the geodesic distance (d_G) was 0.554, falling below 0.95; and the Normed Fit Index (NFI) was 0.898, exceeding 0.8. These indices collectively suggest acceptable model fit [58].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [58] Hu Lt, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equation Modeling: Multidisciplinary J. 1999;6(1):1–55. source
May combine two claims.
Interpretationown dataH4a and H5a were empirically supported (FR and GSE moderate the effect of message framing on VEI).
“Therefore, H4a and H5a were empirically supported.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThis study contributes evidence-based communication strategies for promoting voluntary engagement in carbon governance systems.
“This study contributes evidence-based communication strategies for promoting voluntary engagement in carbon governance systems.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationExisting literature suggests that anxiety may exhibit an inverted-U relationship with behavioral outcomes.
“existing literature suggests that anxiety may exhibit an inverted-U relationship with behavioral outcomes [28].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] Witte K. Putting the fear back into fear appeals: the extended parallel process model. Commun Monogr. 1992;59(4):329–49. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe experimental manipulation likely induced moderate anxiety levels, which may explain why a positive mediating effect was observed rather than the debilitating effects associated with extreme anxiety.
“Our experimental manipulation likely induced moderate anxiety levels, which may explain why we observed a positive mediating effect rather than the debilitating effects associated with extreme anxiety.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenMeasuring FR and GSE at population scale poses practical challenges.
“While our findings support tailoring messages to psychological traits (FR and GSE), we acknowledge that measuring these traits at population scale poses practical challenges.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningThe study demonstrates moderation effects under controlled experimental conditions but does not validate implementation strategies.
“Our study demonstrates moderation effects under controlled experimental conditions but does not validate implementation strategies.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe study exclusively recruited participants from mainland China (N = 788), which constrains the generalizability of findings across different cultural and socioeconomic contexts.
“The study exclusively recruited participants from mainland China (N = 788), which constrains the generalizability of our findings across different cultural and socioeconomic contexts.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere may be significant discrepancies between behavioral intentions and actual behaviors in the environmental protection field.
“In the environmental protection field, there may be significant discrepancies between behavioral intentions and actual behaviors [73].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [73] Kollmuss A, Agyeman J. Mind the gap: why do people act environmentally and what are the barriers to pro-environmental behavior? Environ Educ Res. 2002;8(3):239–60. source
Checked before — its earlier verdict is held back until a new check runs.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenLimitations include sample homogeneity, intention-behavior gap, and single-country context.
“Limitations include sample homogeneity, intention-behavior gap, and single-country context.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe sampling approach may have underrepresented rural populations and low-income groups.
“Furthermore, our sampling approach may have underrepresented rural populations and low-income groups.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe demographic composition skews toward middle-aged (71.83% aged 26-45) and college-educated individuals (66.75%), likely overrepresenting populations with higher environmental awareness and digital literacy.
“First, our sample demonstrates three interrelated limitations that affect generalizability. First, the demographic composition skews toward middle-aged (71.83% aged 26–45) and college-educated individuals (66.75%), likely overrepresenting populations with higher environmental awareness and digital literacy.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenThe study measured immediate VEI through online experiments but did not track actual behaviors such as carbon trading frequency or emission reduction.
“This study measured immediate VEI through online experiments but did not track actual behaviors (such as carbon trading frequency or emission reduction).”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe positive findings likely reflect moderate anxiety levels induced by the experimental stimuli and the presence of efficacy-enhancing factors in the context.
“However, our positive findings likely reflect moderate anxiety levels induced by our experimental stimuli and the presence of efficacy-enhancing factors in our context.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningReliance on static textual stimuli leaves unexamined whether alternative communication formats might enhance framing effectiveness.
“Finally, our reliance on static textual stimuli leaves unexamined whether alternative communication formats might enhance framing effectiveness.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe finding that loss-framed messages are superior extends the application of message framing to low-carbon behavior domains and demonstrates its applicability in complex policy instruments such as PCT.
“This finding extends the application of message framing in low-carbon behavior domains, demonstrating its applicability in complex policy instruments such as PCT.”
Quote in the paperSubstantial claim
The paper relies on this without support.
Individuals with low FR are less likely to view climate change as their personal duty.
“In contrast, individuals with low FR are less likely to view climate change as their personal duty.”
The paper relies on this without support.
When intrinsic motivation is low, stronger external incentives are necessary to encourage participation in PCT.
“When intrinsic motivation is low, stronger external incentives are necessary to encourage participation in PCT.”
The paper relies on this without support.
There is a context-specific theoretical gap in market-based environmental instruments that this study addresses.
“While PCT participation constitutes pro-environmental behavior, this study addresses context-specific theoretical gaps in market-based environmental instruments.”
Statistics that don’t add up
Each reported p-value recomputed from its test statistic and degrees of freedom.
p-value fits an unstated one-tailed test: F(1,782) = 9.723, p < .001
MinorThe paper reports p < .001 here; recomputing from the test statistic and its degrees of freedom gives p = .002. The reported value is what a one-tailed test gives, but the paper does not say near this result that a one-tailed test was used.
Reported p < .001 · recomputed p = .002
“F(1,782) = 9.723, p < 0.001”
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Doesn’t add upF(1, 782) = 9.723reported p < .001 · recomputed p = .002
“F(1,782) = 9.723, p < .001”
- Consistentt(786) = 30.42reported p < .001 · recomputed p < .001
“t(786) = 30.42, p < .001”
- ConsistentF(1, 786) = 46.706reported p < .001 · recomputed p < .001
“F(1, 786) = 46.706, p < .001”
- ConsistentF(2, 785) = 352.8907reported p < .001 · recomputed p < .001
“F(2, 785) = 352.8907, p < .001”
- ConsistentF(3, 784) = 234.623reported p < .001 · recomputed p < .001
“F(3, 784) = 234.623, p < .001”
- ConsistentF(7, 780) = 199.913reported p < .001 · recomputed p < .001
“F(7, 780) = 199.913, p < .001”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Reported FR moderation runs opposite to H4b
MajorH4b predicts a stronger loss-framing effect on anxiety at high FR, but the reported slopes show a stronger effect at low FR. The results nevertheless say H4b is supported.
“H4b: FR will moderate the relationship between message framing and CCA. Specifically, the effect of the loss-framed message on CCA will be stronger for individuals with high FR than for those with low FR.”
“Simple slope analysis demonstrated that the negative effect of message framing on CCA was strongest at low levels of FR (M-1SD; Effect = −0.652, p < 0.001) and weakest at high levels of FR (M + 1SD; Effect = −0.196, p < 0.05).”
Male subgroup counts do not match the reported total
MinorThe gain- and loss-frame male counts sum to 407, not the reported 447.
Reported 447 · recomputed 407
“| Gender | Male | 447 | 230 | 177 |”
Female subgroup counts do not match the reported total
MinorThe gain- and loss-frame female counts sum to 381, not the reported 341.
Reported 341 · recomputed 381
“| Gender | Female | 341 | 164 | 217 |”
ANCOVA degrees of freedom do not reflect dummy-coded demographics
MinorGender, age, education, and income have 2, 5, 3, and 6 categories, respectively. Dummy-coding them would require 12 demographic predictors and leave 774 residual degrees of freedom after including framing and an intercept; the reported 782 is consistent with only four demographic predictors.
“All categorical variables were set as dummy variables during the analysis.”
“The ANCOVA results revealed a significant effect of message framing on VEI [F(1,782) = 9.723, p < 0.001].”
Mediation analysis gives two different indirect effects
MinorThe mediation results report the indirect effect as −0.249 and then as −0.199, without identifying them as different models or estimates.
“The results revealed a significant mediating effect of CCA (Effect = −0.249, BootSE = 0.054, 95% CI [−0.352, −0.141]).”
“The path coefficients indicated that message framing influenced VEI through both direct (β = −0.275) and indirect (β = −0.199) pathways.”
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Cited by
Sorted by citations
Rogozińska‐Pawełczyk, A., & Czuk, M. (2026) · Sustainability · doi:10.3390/su18147027
- Authors
- Li, T., Yang, Y., Liu, X., & Zeng, S.
- Affiliations
- Shanxi Institute of Mechanical & Electrical Engineering (CN)
- Sichuan Tourism University (CN)
- Sichuan University (CN)
- Chengdu University of Information Technology (CN)
- Corresponding author
- Yang, Yutao
- Zeng, Siyu
- ORCID
- Venue
- BMC Psychology
- Published
- 2025-12-29
- Volume
- 13
- Issue
- 1
- Pages
- 1381-1381
- ISSN
- 2050-7283 (ISSN-L)
- PMC
- PMC12751754
- OpenAlex
- W7117476820
- Cited by
- 1
- References
- 58
- Citations by year
- 2026: 1
- FWCI
- 1.15
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Psychology (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- the Project in Research Center for Ecological Civilization, the Chengdu University of Technology (XBST2025-ZC005)
- Northwest Sichuan Ecological Economic Development Research Center, Sichuan Minzu College (CXBSTJJ202505)
- the Humanities and Social Science Fund of Ministry of Education of China (24XJC630002)
- Topics
- Social Sciences › Sociology and Political Science › Climate Change Communication and Perception
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental Education and Sustainability
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Keywords
- personal carbon trading, message framing, loss framing, gain framing, climate anxiety, sense of responsibility, green self-efficacy, voluntary participation, environmental communication, low-carbon behavior, climate change mitigation, norm activation model, self-efficacy theory, prospect theory
- MeSH terms
- Adolescent, Adult, Anxiety, Carbon, Female, Humans, Male, Middle Aged, Self Efficacy, Intention, Young Adult, Climate Change
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-11-05.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-11-05.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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