| Literature DB >> 34248753 |
Heather Barnes Truelove1, Amanda R Carrico2, Kam Leung Yeung3, Jennifer M Wolff4.
Abstract
Policymakers are interested in programs that increase targeted pro-environmental behavior (PEB) and spill over to increase non-targeted PEBs. Theoretically, guilt should lead to negative spillover and identity to positive spillover, though this has rarely been tested empirically. Additionally, little is known about how reminders of past PEB behavior might also lead to downstream spillover effects. Across two studies, participants (Study 1: 377 MTurk workers; Study 2: 172 undergraduates) were randomly assigned to write about a prior PEB, an anti-environmental behavior, or to a control condition. Subsequently, respondents were given an opportunity to perform a PEB2 and completed measures of PEB3 intentions. Results showed some evidence of positive (through increasing identity) and negative (through decreasing guilt) indirect spillover pathways from prior PEB reminders to PEB2 performance and PEB3 curtailment intentions (but not efficiency upgrade intentions). However, there were no overall spillover effects from PEB reminders to PEB2 performance or PEB3 intentions, as the positive and negative indirect effects canceled each other out. Results also showed positive spillover from PEB2 performance to PEB3 curtailment intentions through increasing environmental guilt. The strength of the spillover effects depended on the comparison group for the experimental manipulation, whether environmental guilt or global guilt was measured, and the type of PEB. The results suggest that environmental communications that remind people of their prior PEB may not meaningfully spill over to further PEB performance or intentions.Entities:
Keywords: guilt; identity; licensing; pro-environmental behavior; spillover
Year: 2021 PMID: 34248753 PMCID: PMC8265758 DOI: 10.3389/fpsyg.2021.659483
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Theoretical spillover model. PEB, pro-environmental behavior. Only adjacent direct paths are shown in figure, though all downstream direct and indirect paths are theorized in the model.
FIGURE 2Results of direct effects in model testing spillover from prior behavior reminders to PEB2 performance, Study 1 (top panel) and Study 2 (bottom panel). PEB, pro-environmental behavior. Dashed lines represent paths with p > 0.05. n.s., non-significant. Only major theorized direct paths are shown in figure, though all indirect and direct paths are modeled. ***p < 0.001; **p < 0.01; *p < 0.05; ^p < 0.10.
Standardized direct and indirect effects on PEB2 performance.
| Study 1 | Study 2 | |||||
| Effect | Parameter estimate | 95% CI | 95% CI | Parameter estimate | 95% CI | 95% CI |
| LL | UL | LL | UL | |||
| Total effect | –0.057 | –0.201 | 0.089 | 0.010 | –0.201 | 0.225 |
| Total indirect | –0.019 | –0.097 | 0.041 | –0.007 | –0.074 | 0.058 |
| Via identity | 0.038^ | –0.001 | 0.086 | 0.004 | –0.046 | 0.052 |
| Via guilt | −0.057^ | –0.136 | –0.007 | –0.011 | –0.055 | 0.025 |
| Direct | –0.038 | –0.181 | 0.110 | 0.018 | –0.187 | 0.223 |
| Total effect | –0.072 | –0.215 | 0.073 | −0.208^ | –0.408 | 0.010 |
| Total indirect | 0.025 | –0.033 | 0.091 | −0.072^ | –0.167 | 0.004 |
| Via identity | –0.020 | –0.063 | 0.018 | −0.067^ | –0.154 | –0.010 |
| Via guilt | 0.046^ | 0.004 | 0.101 | –0.005 | –0.050 | 0.035 |
| Direct | –0.097 | –0.214 | 0.049 | –0.137 | –0.332 | 0.077 |
| Total effect | –0.017 | –0.170 | 0.135 | −0.218* | –0.422 | –0.001 |
| Total indirect | 0.044 | –0.042 | 0.144 | –0.064 | –0.157 | 0.009 |
| Via identity | −0.057* | –0.109 | –0.016 | −0.071* | –0.153 | –0.014 |
| Via guilt | 0.100* | 0.028 | 0.197 | 0.006 | –0.031 | 0.044 |
| Direct | –0.061 | –0.233 | 0.109 | –0.154 | –0.357 | 0.074 |
| Identity direct effect | 0.355*** | 0.233 | 0.476 | 0.258** | 0.067 | 0.457 |
| Guilt direct effect | 0.283* | 0.089 | 0.475 | 0.194* | 0.011 | 0.368 |
Standardized direct and indirect effects on PEB3 curtailment intentions.
| Study 1 | Study 2 | |||||
| Effect | Parameter estimate | 95% CI LL | 95% CI UL | Parameter estimate | 95% CI LL | 95% CI UL |
| Direct effect | 0.224** | 0.088 | 0.364 | 0.216* | 0.022 | 0.412 |
| Total effect | 0.000 | –0.107 | 0.107 | –0.027 | –0.193 | 0.140 |
| Total indirect | 0.026 | –0.045 | 0.097 | –0.011 | –0.103 | 0.075 |
| Via PEB2 | –0.009 | –0.045 | 0.026 | 0.004 | –0.045 | 0.062 |
| Via identity | 0.049^ | –0.002 | 0.103 | 0.002 | –0.032 | 0.037 |
| Via guilt | –0.009 | –0.048 | 0.022 | –0.016 | –0.072 | 0.034 |
| Via identity and PEB2 | 0.008 | 0.000 | 0.022 | 0.001 | –0.012 | 0.013 |
| Via guilt and PEB2 | –0.013 | –0.036 | –0.001 | –0.002 | –0.014 | 0.006 |
| Direct | –0.027 | –0.121 | 0.067 | –0.015 | –0.171 | 0.143 |
| Total effect | –0.016 | –0.133 | 0.100 | –0.116 | –0.291 | 0.066 |
| Total indirect | –0.035 | –0.107 | 0.036 | –0.092 | –0.224 | 0.020 |
| Via PEB2 | –0.022 | –0.065 | 0.011 | –0.030 | –0.094 | 0.018 |
| Via identity | –0.026 | 0.078 | 0.023 | –0.040 | –0.117 | 0.012 |
| Via guilt | 0.008 | –0.017 | 0.040 | –0.007 | –0.068 | 0.047 |
| Via identity and PEB2 | –0.005 | –0.016 | 0.004 | –0.014 | –0.047 | 0.000 |
| Via guilt and PEB2 | 0.01 | 0.001 | 0.027 | –0.001 | –0.013 | 0.009 |
| Direct | 0.018 | –0.091 | 0.129 | –0.024 | –0.192 | 0.152 |
| Total effect | –0.016 | –0.135 | 0.105 | –0.089 | –0.259 | 0.088 |
| Total indirect | –0.060 | –0.142 | 0.020 | –0.080 | –0.196 | 0.017 |
| Via PEB2 | –0.014 | –0.061 | 0.024 | –0.033 | –0.106 | 0.016 |
| Via identity | −0.073** | –0.130 | –0.022 | –0.042 | –0.119 | 0.014 |
| Via guilt | 0.016 | –0.036 | 0.076 | 0.009 | –0.040 | 0.057 |
| Via identity and PEB2 | −0.013^ | –0.028 | –0.003 | –0.015 | –0.046 | –0.001 |
| Via guilt and PEB2 | 0.022^ | 0.005 | 0.054 | 0.001 | –0.008 | 0.011 |
| Direct | 0.045 | –0.076 | 0.165 | –0.009 | –0.164 | 0.158 |
| Total effect | 0.533*** | 0.451 | 0.611 | 0.209* | 0.022 | 0.385 |
| Total indirect (Via PEB2) | 0.079** | 0.030 | 0.141 | 0.056 | 0.002 | 0.151 |
| Direct | 0.453*** | 0.353 | 0.548 | 0.154 | –0.062 | 0.340 |
| Total effect | 0.110 | –0.025 | 0.252 | 0.317*** | 0.164 | 0.472 |
| Total indirect (Via PEB2) | 0.063* | 0.014 | 0.136 | 0.042 | –0.002 | 0.110 |
| Direct | 0.047 | –0.100 | 0.194 | 0.275** | 0.118 | 0.431 |
Standardized direct and indirect effects on PEB3 efficiency upgrade intentions, Study 1.
| Effect | Parameter estimate | 95% CI | 95% CI |
| LL | UL | ||
| Direct effect | 0.136^ | –0.017 | 0.283 |
| Total effect | −0.121* | –0.233 | –0.007 |
| Total indirect | 0.020 | –0.074 | 0.025 |
| Via PEB2 | –0.005 | –0.033 | 0.018 |
| Via identity | 0.015 | –0.001 | 0.045 |
| Via guilt | –0.027 | –0.082 | 0.005 |
| Via identity and PEB2 | 0.005 | –0.001 | 0.015 |
| Via guilt and PEB2 | –0.008 | –0.025 | 0.001 |
| Direct | −0.102^ | –0.220 | 0.022 |
| Total effect | –0.082 | –0.194 | 0.028 |
| Total indirect | 0.004 | –0.04 | 0.053 |
| Via PEB2 | –0.013 | –0.045 | 0.008 |
| Via identity | 0.008 | –0.031 | 0.008 |
| Via guilt | 0.022 | –0.004 | 0.063 |
| Via identity and PEB2 | –0.003 | –0.011 | 0.003 |
| Via guilt and PEB2 | 0.006 | –0.001 | 0.018 |
| Direct | –0.086 | –0.197 | 0.023 |
| Total effect | 0.034 | –0.083 | 0.151 |
| Total indirect | 0.022 | –0.036 | 0.096 |
| Via PEB2 | –0.008 | –0.040 | 0.018 |
| Via identity | –0.023 | –0.058 | –0.001 |
| Via guilt | 0.047 | –0.009 | 0.125 |
| Via identity and PEB2 | –0.008 | –0.020 | 0.001 |
| Via guilt and PEB2 | 0.014 | –0.002 | 0.036 |
| Direct | 0.012 | –0.120 | 0.136 |
| Total effect | 0.191** | 0.076 | 0.304 |
| Total indirect (Via PEB2) | 0.048^ | –0.006 | 0.106 |
| Direct | 0.143* | 0.014 | 0.274 |
| Total effect | 0.173* | 0.022 | 0.329 |
| Total indirect (Via PEB2) | 0.039 | –0.005 | 0.097 |
| Direct | 0.135 | –0.027 | 0.303 |
FIGURE 3Results of hypothesized direct effects in model testing spillover from PEB2 performance to PEB3 curtailment intentions, Study 2. PEB, pro-environmental behavior. Dashed lines represent p > 0.05. Environmental self-identity and environmental guilt refer to Time 2 measures, which were assessed after PEB2. Only major theorized paths are shown in figure, though all indirect and direct paths are modeled. ∗∗∗p < 0.001; ∗∗p < 0.01; ∗p < 0.05; ^p < 0.10.
Standardized direct and indirect effects from PEB2 to PEB3 curtailment intentions, Study 2.
| Effect | Parameter estimate | 95% CI | 95% CI |
| LL | UL | ||
| Total effect | 0.333*** | 0.139 | 0.515 |
| Total indirect | 0.134** | 0.036 | 0.237 |
| Via identity T2 | 0.067 | –0.020 | 0.155 |
| Via guilt T2 | 0.067* | 0.013 | 0.136 |
| Direct | 0.199* | 0.001 | 0.399 |
| Identity T2 direct effect | 0.171 | –0.045 | 0.368 |
| Guilt T2 direct effect | 0.276*** | 0.126 | 0.422 |