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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2026.1730412</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Co-creating green steps: APIM evidence of mutual influence on pro-environmental behavior in travel pairs</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Yu</surname> <given-names>Bopeng</given-names></name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role>
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<uri xlink:href="https://loop.frontiersin.org/people/3251625"/>
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<contrib contrib-type="author" corresp="yes" equal-contrib="yes">
<name><surname>Shi</surname> <given-names>Jing</given-names></name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
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<aff id="aff1"><institution>School of Educational Science, Shenyang Normal University</institution>, <city>Shenyang</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x0002A;</label>Correspondence: Jing Shi, <email xlink:href="mailto:chengxinchengyi@126.com">chengxinchengyi@126.com</email></corresp>
<fn fn-type="equal" id="fn001"><label>&#x02020;</label><p>These authors share first authorship</p></fn></author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-02">
<day>02</day>
<month>03</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1730412</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>02</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2026 Yu and Shi.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Yu and Shi</copyright-holder>
<license>
<ali:license_ref start_date="2026-03-02">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p>This study investigated the dyadic mechanisms underlying pro-environmental behavior in travel partnerships, focusing on differences between planner-dominated and co-planner dyads. Using data from 350 travel dyads, we applied the actor-partner interdependence model (APIM) and the actor-partner interdependence mediation model (APIMeM) to analyze mutual influence patterns. In planner-dominated dyads, results revealed that an individual&#x00027;s environmental values significantly predicted their own pro-environmental behavior, while the planner&#x00027;s environmental values also significantly predicted the follower&#x00027;s behavior. Conversely, in co-planner dyads, individuals&#x00027; environmental values predicted both partners&#x00027; pro-environmental behavior. Pro-environmental identity emerged as a key mediator, bridging the relationship between environmental values and behavior across plan-making divisions. Specifically, in planner-dominated dyads, the planner&#x00027;s pro-environmental identity mediated the link between their environmental values and both their own and the follower&#x00027;s behavior. In co-planner dyads, each partner&#x00027;s pro-environmental identity independently mediated their environmental values and behavior. These findings highlight that power dynamics critically shape the efficacy of pro-environmental influence in travel pairs. The study underscores a fundamental shift from hierarchical compliance in planner-dominated dyads to active co-creation of green behaviors in equal partnerships, driven by mutual influence and shared identity. Consequently, promoting collaborative decision-making emerges as a pivotal strategy for embedding sustainability into the core of travel experiences.</p></abstract>
<kwd-group>
<kwd>actor-partner interdependence</kwd>
<kwd>comparative research</kwd>
<kwd>environmental values</kwd>
<kwd>pro-environmental behavior</kwd>
<kwd>pro-environmental identity</kwd>
</kwd-group>
<funding-group>
  <funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was funded by the Fundamental Research Project of Liaoning Provincial Department of Education, China (Grant No. JYTMS20231664).</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="57"/>
<page-count count="11"/>
<word-count count="6485"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Environmental Psychology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>In the urgent calculus of planetary survival, our pro-environmental behavior is no longer an altruistic choice, it is a survival stake where every individual action compounds into collective destiny. Pro-environmental behavior is the behavior of individuals that contribute toward environmental preservation (<xref ref-type="bibr" rid="B46">Turaga and Howarth, 2010</xref>). This kind of behavior covers multiple fields, including but not limited to resource conservation, pollution reduction, biodiversity protection, and support for environmental protection policies (<xref ref-type="bibr" rid="B11">Carrico, 2022</xref>; <xref ref-type="bibr" rid="B16">Dewi, 2018</xref>; <xref ref-type="bibr" rid="B40">Sawitri and Hadiyanto, 2015</xref>). With the popularity of group travel in modern times, comes its negative environmental impact. Therefore, enhancing tourist pro-environmental behavior, which refers to pro-environmental actions demonstrated during travel, is of particular importance. However, there is still much to be explored regarding how to enhance their pro-environmental behavior.</p>
<p>Previous researches mainly focused on individual-level factors and social aspects of pro-environmental behavior (<xref ref-type="bibr" rid="B44">Smith et al., 2021</xref>; <xref ref-type="bibr" rid="B52">Zeng and Zhong, 2023</xref>), but it neglected the dual dynamics that occur in interpersonal relationships. The environmental cognition theory suggests that individuals&#x00027; perceptions and attitudes toward the environment are influenced by their peers, and together they shape each other&#x00027;s actions regarding environmental protection (<xref ref-type="bibr" rid="B21">Gao et al., 2019</xref>), especially in travel partnerships (<xref ref-type="bibr" rid="B35">Manner-Baldeon and Lin, 2023</xref>). Individuals tend to enhance their own pro-environmental behaviors, such as waste sorting, low-carbon travel, and pro-environmental donations, mainly based on social norms and the pro-environmental behaviors exhibited by those around them (<xref ref-type="bibr" rid="B53">Zhang and Yan, 2025</xref>; <xref ref-type="bibr" rid="B57">Zhu and Wang, 2021</xref>). Traditional individual-centered models fail to capture these interdependent dynamics, whereas the Actor-Partner Interdependence Model (APIM) adequately offer an appropriate statistical framework to overcome this limitation. APIM allows for the distinction between actor effects (the influence of an individual on their own outcomes) and partner effects (the influence of an individual on their partner&#x00027;s outcomes), making it ideally suited for dyadic data analysis. Building on APIM, APIMeM further enables the examination of mediation effects within dyads, which is crucial for understanding the psychological mechanisms underlying interpersonal influence (<xref ref-type="bibr" rid="B15">Cook, 2005</xref>). Therefore, this study employs APIM and APIMeM to achieve three primary objectives. (1) To examine the actor and partner effects of environmental values on pro-environmental behaviors within travel dyads. (2) To investigate the mediating role of pro-environmental identity in the relationship between environmental values and pro-environmental behavior. (3) To compare the different pathways between planner-dominated and co-planner dyads, thereby elucidating how power structures facilitate or inhibit pro-environmental behavior. Investigating the mechanisms of pro-environmental behavior in travel partnerships from a dyadic perspective has theoretical and practical significance for environmental protection and ecological balance.</p></sec>
<sec id="s2">
<title>Literature review</title>
<sec>
<title>Environmental values</title>
<p>Considering environmental protection and pro-environmental behavior, discussion of the matter of environmental values which refer to the beliefs and attitudes that people hold toward the environment is inevitable (<xref ref-type="bibr" rid="B51">Yuksel, 2021</xref>). Environmental values influence how people interact with the environment (<xref ref-type="bibr" rid="B42">Scoville, 1995</xref>; <xref ref-type="bibr" rid="B45">Tumanggor and Dariyo, 2023</xref>). It encompasses anthropocentrism, biocentrism, ecocentrism and holism. In the binary context of travel companions, the practice of environmental values is reflected in the formulation of travel plans. Interdependence theory elucidates the intricate mutual impacts inherent in dyadic relationships (<xref ref-type="bibr" rid="B27">Kelley et al., 2003</xref>). In this view, an individual&#x00027;s values can influence others actions. For instance, individuals with strong environmental values may interpret others&#x00027; pro-environmental behavior as social norms, thereby strengthening their own sense of moral obligation and enhancing their engagement in pro-environmental actions (<xref ref-type="bibr" rid="B10">Capiene and Rutelione, 2022</xref>). The mutual influence of values is a dynamic process, but few studies have focused on its dynamics from an empirical perspective. Especially the travel setting, characterized by frequent and close social interaction, creates an environment where individuals&#x00027; values interact and subsequently guide their mutual pro-environmental behavior.</p>
</sec>
<sec>
<title>Pro-environmental identity mediates the relationship between both parties&#x00027; environmental values and pro-environmental behavior</title>
<p>The Theory of Planned Behavior states that an individual&#x00027;s identity recognition influenced by their own values and social norms prompts the individual to exhibit certain behaviors (<xref ref-type="bibr" rid="B2">Ajzen, 1985</xref>; <xref ref-type="bibr" rid="B39">Ramos, 2024</xref>). Pro-environmental identity refers to an individual&#x00027;s self-definition as a member of the pro-environmental group (<xref ref-type="bibr" rid="B47">Turner and Reynolds, 2003</xref>). It serves as an important link between environmental values and pro-environmental behavior. According to the social identity theory (<xref ref-type="bibr" rid="B38">Ozyilmaz, 2022</xref>), individuals with a strong environmental value system are more likely to consider themselves as environmentalists and possess a positive environmental identity (<xref ref-type="bibr" rid="B7">Barbarossa et al., 2017</xref>), which leads to pro-environmental behavior (<xref ref-type="bibr" rid="B43">Shekhovtsova, 2020</xref>). According to the interdependence theory (<xref ref-type="bibr" rid="B27">Kelley et al., 2003</xref>), an individual&#x00027;s environmental values may influence partners&#x00027; pro-environmental identity and pro-environmental behavior. A person who values environmental protection will make those around them more environmentally conscious (<xref ref-type="bibr" rid="B36">Merin Adelin and Dimas Angga, 2024</xref>), and this will also foster the formation of a pro-environmental identity (<xref ref-type="bibr" rid="B54">Zhao et al., 2023</xref>). Therefore, we considered that pro-environmental identity plays a mediating role between their own and others&#x00027; environmental values and pro-environmental behavior.</p>
</sec>
<sec>
<title>Different power structures lead to path differences between the planner-dominated dyads and co-planner dyads</title>
<p>When applying the actor-partner interdependence model (APIM) to the study of tourism behavior, it remains critical to incorporate the role positioning of travel companions (specifically, power distribution). In traditional APIM frameworks, interacting dyads have typically been conceptualized within contexts of equal power hierarchy (e.g., parent-child, marital, or romantic partnerships). However, tourism contexts encompass dual scenarios those characterized by equal power dynamics (e.g., joint formulation of travel plans) and those marked by unequal power relations (e.g., between plan-makers and followers). Comparing these two distinct APIM patterns not only holds significant implications for research on tourist psychology and pro-environmental behavior but also enriches understanding of the model&#x00027;s application scenarios and the interpretation of its outcomes. Under conditions of unequal power, follower behavior is more likely to emerge through external regulation (<xref ref-type="bibr" rid="B34">Magee, 2020</xref>; <xref ref-type="bibr" rid="B41">Schwab, 2024</xref>). Conversely, in contexts of equal power, mutual cognitive internalization occurs, leading to the formation of persistent behavioral patterns (<xref ref-type="bibr" rid="B37">N&#x000FA;&#x000F1;ez-Regueiro, 2024</xref>).</p>
<p>Tourism planning is not merely about determining the destination and activities. It also involves contributing to the Sustainable Development Goals (<xref ref-type="bibr" rid="B28">Khizar et al., 2023</xref>). Therefore, when formulating a travel plan, it is necessary to take into account the implementation of pro-environmental behavior. There are advantages and disadvantages to both making travel plans independently and collaborating to make them. Making travel plans independently is more convenient and represents the planner&#x00027;s environmental values, which in turn influences pro-environmental behavior. The process of jointly formulating a travel plan requires in-depth cooperation from both parties. In such a social interaction scenario, it can enhance pro-environmental behavior (<xref ref-type="bibr" rid="B55">Zheng et al., 2019</xref>; <xref ref-type="bibr" rid="B56">Zhu, 2022</xref>). At the same time, in the context of jointly completing the plan, the values of both parties are more likely to be exposed, which leads to conflicts in values and subsequently affects each other&#x00027;s sense of identity (<xref ref-type="bibr" rid="B30">K&#x000FC;hler, 2021</xref>). Therefore, compared to dictatorship, through cooperative planning of travel it may lead to a special path. Under the cooperative condition, the environmental values of both parties can have a greater impact on their pro-environmental behavior and pro-environmental identity. Meanwhile, dictatorial and cooperative decision-making reflect different power structures, and they have a significant impact on decision-making. Decision-makers tend to make decisions that are favorable to themselves, and the resulting pro-environmental behavior will overly rely on the values of the decision-makers themselves (<xref ref-type="bibr" rid="B32">Li and Li, 2024</xref>). On the contrary, in cooperative decision-making scenarios, through social interaction, people are often able to enhance their eco-friendly travel decisions (<xref ref-type="bibr" rid="B55">Zheng et al., 2019</xref>).</p>
<p>Consequently, we utilized the Actor-Partner Interdependence Model (APIM; <xref ref-type="bibr" rid="B15">Cook, 2005</xref>) and the Actor-Partner Interdependence Mediation Model (APIMeM; <xref ref-type="bibr" rid="B31">Ledermann and Macho, 2011</xref>) to systematically analyze both intra-individual (actor effects) and inter-individual (partner effects) pathways, and conducted path difference analysis for the two different tourism planning approaches of dictatorship and cooperation.</p></sec>
</sec>
<sec id="s3">
<title>Method</title>
<sec>
<title>Participants</title>
<p>We utilized APIM POWER (<xref ref-type="bibr" rid="B1">Ackerman and Kenny, 2016</xref>; effect size <italic>f</italic><sup>2</sup> = 0.25, power = 0.80, &#x003B1; = 0.05) to determine the minimum sample size of 121 dyads. We recruited 375 pairs of people through online social media platforms, who had traveled together before. After removing 25 invalid dyads (defined as those with insufficient response time or failure to pass attention-check items), data from 350 dyads were analyzed formally. The sample comprised 64.6% female and 35.6% male participants, with the majority aged 18 to 35 years. In terms of travel style preferences, 67.7% of participants reported that they preferred traveling with companions, while 32.3% indicated a preference for solo travel. Participants were assigned to one of two mutually exclusive groups based on their responses to a key travel decision-making item: &#x0201C;In your most recent trip together, who was primarily responsible for making key decisions (e.g., destination selection, itinerary planning, accommodation booking)?&#x0201D; Responses were recorded on a 5-point scale (1 = I made all the decisions, 2 = I made most of the decisions, 3 = We made decisions equally, 4 = My partner made most of the decision, 5 = My partner made all the decisions). Based on this measure, Planner-Dominated Dyads were defined as those in which one partner selected option 1 or 2 and the other partner selected option 4 or 5. Co-Planner Dyads were defined as those in which both partners selected option 3. Followed this classification procedure, 159 dyads were identified as Planner-Dominated Dyads and 191 dyads as Co-Planner Dyads.</p>
</sec>
<sec>
<title>Measures</title>
<sec>
<title>Environmental values</title>
<p>Environmental values were assessed using the New Environmental Paradigm Scale Revised (<xref ref-type="bibr" rid="B18">Dunlap et al., 2000</xref>), comprising 15 items (e.g., &#x0201C;Humans are severely abusing the environment&#x0201D;) rated on a 5-point scale (1 = strongly disagree to 5 = strongly agree).</p></sec>
<sec>
<title>Pro-environmental identity</title>
<p>Pro-environmental identity was measured via the revised version of the Pro-environmental Identity Questionnaire (<xref ref-type="bibr" rid="B6">Bamberg and Rees, 2015</xref>; <xref ref-type="bibr" rid="B48">Wallis, 2021</xref>), comprising 3 items (e.g., &#x0201C;I identify with others who engage in environmental protection&#x0201D;) rated on a 5-point scale.</p></sec>
<sec>
<title>Pro-environmental behavior.</title>
<p>Pro-environmental behavior was evaluated using the revised version of Environmental Responsible Behavior Questionnaire (<xref ref-type="bibr" rid="B13">Chiu and Lee, 2013</xref>), comprising 7 items (e.g., &#x0201C;I sort my trash at the travel site&#x0201D;) rated on a 7-point scale.</p></sec>
<sec>
<title>Methods of analysis</title>
<p>APIM is a statistical framework to analyze dyadic data where individuals are interdependent, such as couples, parent-child pairs, or colleagues. APIM distinguishes between actor effects (an individual&#x00027;s predictors influence their own outcomes) and partner effects (an individual&#x00027;s predictors influence their partner&#x00027;s outcomes). This model addresses the non-independence of dyadic data, which violates traditional statistical assumptions, and is widely applied in psychology, sociology, and healthcare research to study relational dynamics. Building on APIM, APIMeM integrates mediation pathways to explore how actor/partner effects operate through intervening variables.</p>
<p>SPSS 26.0 was utilized to conduct descriptive statistics and correlation analysis. AMOS 26.0 was utilized for the Actor-Partner Interdependence Model. The travel partner was the unit of analysis, and the models were estimated using the maximum likelihood (ML) estimator. The actor and partner effects were tested using bias-corrected bootstrapped 95% confidence intervals with 5,000 resamples.</p></sec></sec>
</sec>
<sec sec-type="results" id="s4">
<title>Results</title>
<p>Descriptive statistics and correlations are shown in <xref ref-type="table" rid="T1">Table 1</xref>. Cronbach&#x00027; s &#x003B1; are shown in parentheses. All the measures had adequate internal consistency and significantly correlated with each other. The data were fit for further exploration of path analysis.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Means standard deviations, and correlations.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold><italic>M</italic></bold></th>
<th valign="top" align="center"><bold><italic>SD</italic></bold></th>
<th valign="top" align="center"><bold>1</bold></th>
<th valign="top" align="center"><bold>2</bold></th>
<th valign="top" align="center"><bold>3</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1 Environmental values</td>
<td valign="top" align="center">3.30</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">(0.93)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">2 Pro-environmental identity</td>
<td valign="top" align="center">3.30</td>
<td valign="top" align="center">1.23</td>
<td valign="top" align="center">0.33<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">(0.88)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">3 Pro-environmental behavior</td>
<td valign="top" align="center">3.33</td>
<td valign="top" align="center">1.18</td>
<td valign="top" align="center">0.35<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.40<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">(0.94)</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;&#x0002A;&#x0002A;</sup><italic>p</italic>&#x0003C;<italic>0.001</italic>.</p>
</table-wrap-foot>
</table-wrap>
<sec>
<title>Invariance tests and distinguishability comparisons</title>
<p>The invariance tests and distinguishability comparisons were conducted to examine for dyadic models across travel relationships. As shown in <xref ref-type="table" rid="T2">Table 2</xref>, compared with the baseline model, &#x00394;CFI was all greater than 0.010, and the model invariance tests were not supported (<xref ref-type="bibr" rid="B12">Chen, 2007</xref>). Therefore, there were differences in the paths between planner-dominated dyads and co-planner dyads. Meanwhile, the results of the distinguishability test indicated that in APIM and APIMeM, the planner-dominated dyads are distinguishable pairs, while the co-planner dyads are indistinguishable pairs (<xref ref-type="bibr" rid="B31">Ledermann and Macho, 2011</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Model comparison.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Invariance tests and distinguishable tests</bold></th>
<th valign="top" align="center"><bold>df</bold></th>
<th valign="top" align="center"><bold>CMIN</bold></th>
<th valign="top" align="center"><bold><italic>p</italic></bold></th>
<th valign="top" align="center"><bold>&#x00394;NFI</bold></th>
<th valign="top" align="center"><bold>&#x00394;IFI</bold></th>
<th valign="top" align="center"><bold>&#x00394;CFI</bold></th>
<th valign="top" align="center"><bold>&#x00394;GFI</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="8"><bold>APIM</bold></td>
</tr>
<tr>
<td valign="top" align="left">Structural weights</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">11.546</td>
<td valign="top" align="center">0.021</td>
<td valign="top" align="center">0.076</td>
<td valign="top" align="center">0.077</td>
<td valign="top" align="center">0.054</td>
<td valign="top" align="center">0.016</td>
</tr>
<tr>
<td valign="top" align="left">Structural covariances</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">30.610</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.200</td>
<td valign="top" align="center">0.203</td>
<td valign="top" align="center">0.168</td>
<td valign="top" align="center">0.040</td>
</tr>
<tr>
<td valign="top" align="left">Structural residuals</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">52.327</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.342</td>
<td valign="top" align="center">0.347</td>
<td valign="top" align="center">0.308</td>
<td valign="top" align="center">0.064</td>
</tr>
<tr>
<td valign="top" align="left">Indistinguishable vs. Distinguishable (Planner-dominated dyads)</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">13.200</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.183</td>
<td valign="top" align="center">0.183</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Indistinguishable vs. Distinguishable (Co-planner dyads)</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2.743</td>
<td valign="top" align="center">0.254</td>
<td valign="top" align="center">0.034</td>
<td valign="top" align="center">0.034</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="8"><bold>APIMeM</bold></td>
</tr>
<tr>
<td valign="top" align="left">Structural weight</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">25.970</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">0.064</td>
<td valign="top" align="center">0.064</td>
<td valign="top" align="center">0.037</td>
<td valign="top" align="center">0.024</td>
</tr>
<tr>
<td valign="top" align="left">Structural co variances</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">45.034</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.110</td>
<td valign="top" align="center">0.110</td>
<td valign="top" align="center">0.079</td>
<td valign="top" align="center">0.040</td>
</tr>
<tr>
<td valign="top" align="left">Structural residuals</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">75.611</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.185</td>
<td valign="top" align="center">0.185</td>
<td valign="top" align="center">0.144</td>
<td valign="top" align="center">0.063</td>
</tr>
<tr>
<td valign="top" align="left">Indistinguishable vs. Distinguishable (Planner-dominated dyads)</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">20.036</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">0.124</td>
<td valign="top" align="center">0.124</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Indistinguishable vs. Distinguishable (Co-planner dyads)</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">8.767</td>
<td valign="top" align="center">0.187</td>
<td valign="top" align="center">0.036</td>
<td valign="top" align="center">0.036</td>
<td/>
<td/>
</tr></tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>APIM</title>
<p>The APIM was conducted to examine the relations between environmental values and pro-environmental behavior in two dyads.</p>
<p>As shown in <xref ref-type="fig" rid="F1">Figures 1</xref>, <xref ref-type="fig" rid="F2">2</xref>, actor effects were both significant for planner-dominated dyads. Partner effects were significant for follower but planner, indicating that planners&#x00027; environmental values directly influence followers&#x00027; pro-environmental behavior but followers&#x00027; environmental values did not influence planners&#x00027; pro-environmental behavior. Actor effects and partner effects were both significant for co-planner dyads.</p>
<fig position="float" id="F1">
<label>Figure 1</label>
<caption><p>APIM of environmental values and pro-environmental behavior in planner-dominated dyads.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-17-1730412-g0001.tif">
<alt-text content-type="machine-generated">Path diagram illustrating relationships between environmental values and pro-environmental behavior for Planners and Followers, with standardized path coefficients: .51 and .43 from Planner, .46 and .05 from Follower. Solid lines indicate direct relationships; dashed lines indicate cross-group effects.</alt-text>
</graphic>
</fig>
<fig position="float" id="F2">
<label>Figure 2</label>
<caption><p>APIM of environmental values and pro-environmental behavior in co-planner dyads.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-17-1730412-g0002.tif">
<alt-text content-type="machine-generated">Path diagram shows two identical labeled rectangles for &#x0201C;Environmental values (Co-Planner)&#x0201D; on the left and two rectangles for &#x0201C;Pro-environmental behavior (Co-Planner)&#x0201D; on the right, connected by arrows. Upper-to-upper and lower-to-lower arrows are labeled .45***, and diagonal arrows are labeled .31***.</alt-text>
</graphic>
</fig>
</sec>
<sec>
<title>APIMeM</title>
<p>APIMeM was used to investigate the relations between environmental values, pro-environmental identity and pro-environmental behavior in two dyads (see <xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F4">4</xref>).</p>
<fig position="float" id="F3">
<label>Figure 3</label>
<caption><p>APIMeM of Pro-environmental identity in the Relationship Between Environmental values and Pro-environmental behavior in planner-dominated dyads.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-17-1730412-g0003.tif">
<alt-text content-type="machine-generated">Path diagram illustrating relationships among environmental values, pro-environmental identity, and pro-environmental behavior for planners and followers. Arrow labels indicate standardized coefficients; asterisks denote significance levels (one, two, or three asterisks for p-values). Solid and dashed arrows connect variables, with planners&#x02019; and followers&#x02019; pathways both detailed.</alt-text>
</graphic>
</fig>
<fig position="float" id="F4">
<label>Figure 4</label>
<caption><p>APIMeM of Pro-environmental identity in the Relationship Between Environmental values and Pro-environmental behavior in co-planner dyads.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-17-1730412-g0004.tif">
<alt-text content-type="machine-generated">Path diagram illustrating relationships among environmental values, pro-environmental identity, and pro-environmental behavior for co-planners, with standardized regression coefficients ranging from .14* to .33*** indicated on directed arrows connecting rectangular nodes.</alt-text>
</graphic>
</fig>
<p>Bootstrapping analysis was presented in <xref ref-type="table" rid="T3">Tables 3</xref>, <xref ref-type="table" rid="T4">Table 4</xref>. For planner-dominated dyads. Pro-environmental identity mediated the links between individuals&#x00027; environmental values and their pro-environmental behavior, indicating significant actor mediation effects. Both of their pro-environmental identity mediated the links between planners&#x00027; environmental values and followers&#x00027; pro-environmental behavior, indicating significant followers&#x00027; partner mediation effects. Intriguingly, followers&#x00027; pro-environmental behavior was concurrently mediated by pro-environmental identity of both, while planners&#x00027; pro-environmental behavior was mediated only by their own pro-environmental identity and the follower&#x00027;s environmental values did not influence the planner&#x00027;s pro-environmental behavior. Actor mediation effects and partner mediation effects were both significant for co-planner dyads.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Bootstrapping analysis results for APIMeM in planner-dominated dyads.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Type of effect</bold></th>
<th valign="top" align="center"><bold>Pathway</bold></th>
<th valign="top" align="center"><bold>Effect</bold></th>
<th valign="top" align="center"><bold>SE</bold></th>
<th valign="top" align="center"><bold>95%CI</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="5">Actor effect (Planner)</td>
<td valign="top" align="left">Total effect</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">[0.22,0.58]</td>
</tr>
 <tr>
<td valign="top" align="left">Direct effect</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">[0.17,0.47]</td>
</tr>
 <tr>
<td valign="top" align="left">Total indirect effect</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">[0.02,0.15]</td>
</tr>
 <tr>
<td valign="top" align="left">Environmental values (Planner) &#x02192; Pro-environmental identity (Planner) &#x02192; Pro-environmental behavior (Planner)</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">[0.02,0.16]</td>
</tr>
 <tr>
<td valign="top" align="left">Environmental values (Planner) &#x02192; Pro-environmental identity (Follower) &#x02192; Pro-environmental behavior (Planner)</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">[&#x02212;0.05,0.06]</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Partner effect (Planner)</td>
<td valign="top" align="left">Total effect</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">[&#x02212;0.10,0.19]</td>
</tr>
 <tr>
<td valign="top" align="left">Direct effect</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">[&#x02212;0.14,0.19]</td>
</tr>
 <tr>
<td valign="top" align="left">Total indirect effect</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">[&#x02212;0.05,0.13]</td>
</tr>
 <tr>
<td valign="top" align="left">Environmental values (Follower) &#x02192; Pro-environmental identity (Planner) &#x02192; Pro-environmental behavior (Planner)</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">[&#x02212;0.01,0.09]</td>
</tr>
 <tr>
<td valign="top" align="left">Environmental values (Follower) &#x02192; Pro-environmental identity (Follower) &#x02192; Pro-environmental behavior (Planner)</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">[&#x02212;0.07,0.09]</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Actor effect (Follower)</td>
<td valign="top" align="left">Total effect</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">[0.28,0.65]</td>
</tr>
 <tr>
<td valign="top" align="left">Direct effect</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">[0.12,0.52]</td>
</tr>
 <tr>
<td valign="top" align="left">Total indirect effect</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">[0.05,0.24]</td>
</tr>
 <tr>
<td valign="top" align="left">Environmental values(Follower) &#x02192; Pro-environmental identity (Follower) &#x02192; Pro-environmental behavior(Follower)</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">[0.03,0.22]</td>
</tr>
 <tr>
<td valign="top" align="left">Environmental values (Follower) &#x02192; Pro-environmental identity (Planner) &#x02192; Pro-environmental behavior (Follower)</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">[&#x02212;0.004,0.10]</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Partner effect (Follower)</td>
<td valign="top" align="left">Total effect</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">[0.26,0.77]</td>
</tr>
 <tr>
<td valign="top" align="left">Direct effect</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">[0.13,0.61]</td>
</tr>
 <tr>
<td valign="top" align="left">Total indirect effect</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">[0.05,0.29]</td>
</tr>
 <tr>
<td valign="top" align="left">Environmental values (Planner) &#x02192; Pro-environmental identity (Follower) &#x02192; Pro-environmental behavior (Follower)</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">[0.02,0.17]</td>
</tr>
 <tr>
<td valign="top" align="left">Environmental values (Planner) &#x02192; Pro-environmental identity (Planner) &#x02192; Pro-environmental behavior (Follower)</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">[0.01,0.18]</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>CI, confidence interval.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Bootstrapping analysis results for APIMeM in co-planner dyads.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Type</bold></th>
<th valign="top" align="center"><bold>Pathway</bold></th>
<th valign="top" align="center"><bold>Effect</bold></th>
<th valign="top" align="center"><bold>SE</bold></th>
<th valign="top" align="center"><bold>95%CI</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="5">Actor</td>
<td valign="top" align="left">Total effect</td>
<td valign="top" align="center">0.44</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">[0.31,0.57]</td>
</tr>
 <tr>
<td valign="top" align="left">Direct effect</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">[0.15,0.40]</td>
</tr>
 <tr>
<td valign="top" align="left">Total indirect effect</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">[0.10,0.23]</td>
</tr>
 <tr>
<td valign="top" align="left">Actor-Actor indirect effect</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">[0.04,0.16]</td>
</tr>
 <tr>
<td valign="top" align="left">Partner-Partner indirect effect</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">[0.03,0.13]</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Partner</td>
<td valign="top" align="left">Total effect</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">[0.17,0.43]</td>
</tr>
 <tr>
<td valign="top" align="left">Direct effect</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">[0.01,0.26]</td>
</tr>
 <tr>
<td valign="top" align="left">Total indirect effect</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">[0.11,0.23]</td>
</tr>
 <tr>
<td valign="top" align="left">Actor-Partner indirect effect</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">[0.04,0.16]</td>
</tr>
 <tr>
<td valign="top" align="left">Partner-Actor indirect effect</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">[0.03,0.13]</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>CI, confidence interval.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Comparison of coefficients between planner-dominated and co-planner models</title>
<p>As shown in <xref ref-type="table" rid="T5">Table 5</xref>, comparison of coefficients was used to investigate the differences in path coefficients between Planner-dominated model and Co-planner model (<xref ref-type="bibr" rid="B17">Duncan, 2014</xref>). In terms of the partner effect, both the total effect and indirect effect in the co-planner scenario were significantly greater than the planner-dominated scenario.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Comparison of coefficients between planner-dominated and co-planner models.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Path comparison type</bold></th>
<th valign="top" align="left" colspan="2"><bold>Planner-dominated</bold></th>
<th valign="top" align="left" colspan="2"><bold>Co-planner</bold></th>
<th valign="top" align="center"><bold><italic>p</italic></bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Effect</bold></th>
<th valign="top" align="center"><bold>SE</bold></th>
<th valign="top" align="center"><bold>Effect</bold></th>
<th valign="top" align="center"><bold>SE</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Actor Total effect (Planner vs. Co-planner)</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.44</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.934</td>
</tr>
<tr>
<td valign="top" align="left">Actor Direct effect (Planner vs. Co-planner)</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.595</td>
</tr>
<tr>
<td valign="top" align="left">Actor Indirect effect (Planner vs. Co-planner)</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.161</td>
</tr>
<tr>
<td valign="top" align="left">Partner Total effect (Planner vs. Co-planner)</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.028</td>
</tr>
<tr>
<td valign="top" align="left">Partner Direct effect (Planner vs. Co-planner)</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.250</td>
</tr>
<tr>
<td valign="top" align="left">Partner Indirect effect (Planner vs. Co-planner)</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.016</td>
</tr></tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<title>Discussion</title>
<p>We utilized APIMeM to examine the mechanisms by which environmental values affect pro-environmental behavior in different forms of travel partner. Meanwhile, comparative analysis was conducted to examine the differences in paths that emerge under different forms of plan formulation. The results indicated that individuals&#x00027; environmental values directly influence their pro-environmental behavior. For those travel plans formulated by planners, the planners&#x00027; own pro-environmental identity affects both their own and their travel partners&#x00027; pro-environmental behavior, thereby forming an influence path dominated by the planners. For those travel plans jointly formulated by both parties, the pro-environmental identity of each party influences their own and their travel partners&#x00027; pro-environmental behavior, thus forming a two-way influencing path. These findings enhance our comprehension of value transmission mechanisms in group travel relationships and provide important insights for cultivating environmentally friendly travel behaviors in an era of widespread tourism.</p>
<sec>
<title>Direct driving role of environmental values in pro-environmental behavior</title>
<p>Our findings showed that travel partners&#x00027; environmental values have a direct actor effect on pro-environmental behavior in different plan scenarios. This result is consistent with previous studies (<xref ref-type="bibr" rid="B4">Balunde, 2023</xref>; <xref ref-type="bibr" rid="B49">Xu and Yang, 2022</xref>). Environmental values are an important internal factor guiding individual pro-environmental behavior. They influence an individual&#x00027;s attitude toward the environment, environmental cognition, and identity, thereby promoting or inhibiting the occurrence of pro-environmental behavior (<xref ref-type="bibr" rid="B14">Chwialkowska and Bhatti, 2020</xref>; <xref ref-type="bibr" rid="B26">Karp, 1996</xref>). At the same time, environmental values can influence an individual&#x00027;s perception and emotional response to environmental issues, enhancing their environmental awareness and thereby encouraging them to engage in more pro-environmental behavior (<xref ref-type="bibr" rid="B14">Chwialkowska and Bhatti, 2020</xref>).</p>
</sec>
<sec>
<title>Contextual dependence of partner effects: power structures as drivers of path differences</title>
<p>However, the partner effect demonstrated context-specificity. In planner-dominate dyads, only planners&#x00027; environmental values could directly induce partners&#x00027; pro-environmental behavior. In co-planner dyads, environmental values could directly induce both partners&#x00027; pro-environmental behavior. This disparity reveals that the power structure divide has shaped a completely different picture of environmental behavior transmission. In the dominant pair (planner-dominated dyads), the environmental values of the planner act as the central hub of behavior, and their radiating power simultaneously covers both themselves and their partner&#x00027;s environmental behaviors, forming a single-pole-driven two-body transmission paradigm. This cross-boundary behavioral control corroborates the behavior approach system of social power theory (<xref ref-type="bibr" rid="B8">Brauer, 2006</xref>). When decision-making power is highly centralized, the value system of the dominant party can directly cross individual boundaries to reconfigure the behavioral choices of the partner (<xref ref-type="bibr" rid="B20">Galinsky and Gruenfeld, 2003</xref>). However, collaborative pairs (co-planned dyads) demonstrate the equality principle of a democratic system. Both parties&#x00027; environmental values mutually influence their own and each other&#x00027;s pro-environmental behaviors, and through forms such as social interaction, they are enhanced in a dual-track parallel manner (<xref ref-type="bibr" rid="B4">Balunde, 2023</xref>; <xref ref-type="bibr" rid="B9">Cao and Zhong, 2025</xref>). This result indicated that power sharing has removed the shackles on the dissemination of values, enabling them to mutually reinforce each other&#x00027;s behaviors in an equal field, suppled the mechanical assumption of the traditional model that separates actor and partner. This fundamental divergence in pathways elucidates how power structures reconfigure the mechanisms of interpersonal influence. Under power asymmetry, influence is unidirectional and instrumental, hinging on the planner&#x00027;s attributes. But under power balance, it transforms into a bidirectional, internalized process achieved through social interaction and consensus building.</p>
</sec>
<sec>
<title>Context-specific mediating mechanism of pro-environmental identity</title>
<p>The mediating mechanism of pro-environmental identity also demonstrated context-specificity. For planner-dominate dyads, planners&#x00027; environmental values could directly induce partners&#x00027; pro-environmental behavior but also indirectly influence it through pro-environmental identity. For co-planner dyads, environmental values did directly and indirectly influence pro-environmental behavior through pro-environmental identity. This outcome indicates that various planning models will produce distinct behavioral results. When travel companions adopt different decision-making patterns, they are essentially activating completely distinct social psychological mechanisms. For planner-dominated dyads, the planner utilizes their decision-making power to exert psychological and behavioral influence on the follower. However, this form of top-down influence often yields effects that are less durable and inherently constrained by the planner&#x00027;s personal commitment and presence. In contrast, within co-planner dyads, the process of joint planning enhances social interaction, which facilitates a deeper internalization of a shared pro-environmental identity between partners (<xref ref-type="bibr" rid="B25">Jaeger, 2017</xref>). This mutual internalization through identity is the core psychological process that enhances pro-environmental behavior where pro-environmental behavior from a shared sense of environmental self-identity, rather than being imposed or merely adopted. Consequently, the mediating role of pro-environmental identity is not static but is activated and shaped by the power dynamics. Therefore, the pivotal shift from absolute power domination to shared power is key to fostering a shared pro-environmental identity and enhancing pro-environmental behavior.</p>
</sec>
<sec>
<title>Planner-dominated dyads: dual drivers and limitations under power imbalance</title>
<p>In the planner-led combination, the power imbalance enables the planner to simultaneously employ instrumental influence (by controlling resources to directly request behavioral changes) and referential power (by setting an example to elicit the partner&#x00027;s recognition), forming a dual-track drive of &#x0201C;command to internalization&#x0201D; (<xref ref-type="bibr" rid="B3">Anderson, 2014</xref>; <xref ref-type="bibr" rid="B50">Yin and Savani, 2021</xref>). This mode is efficient but fragile that relies heavily on the planner&#x00027;s personal environmental values, which directly and promptly influence the follower&#x00027;s pro-environmental identity and behavior, thereby achieving a significant short-term boost in the follower&#x00027;s pro-environmental actions. However, the partner&#x00027;s behavior is mostly driven by compliance rather than genuine acceptance, and the resulting behavioral reproducibility is relatively low (<xref ref-type="bibr" rid="B29">Kim, 2024</xref>). The sustainability of this mode is inherently constrained by its dependence on the planner&#x00027;s ongoing presence and influence. The induced behavior, more reflective of external regulation than intrinsic motivation, may falter once the hierarchical context changes, limiting its potential for fostering long-term habitual pro-environmental actions.</p>
</sec>
<sec>
<title>Co-planned dyads: social interaction and identity fusion under power balance</title>
<p>In the collaborative planning combination, the power balance triggers deep social interaction, leading to the emergence of pro-environmental identity and pro-environmental behavior (<xref ref-type="bibr" rid="B9">Cao and Zhong, 2025</xref>). Value conflicts force both parties to enter cognitive restructuring and reach consensus (<xref ref-type="bibr" rid="B33">Liberman, 1991</xref>). Both parties transform their differences into a common identity (such as &#x0201C;We are environmental partners&#x0201D;) through repeated negotiations (<xref ref-type="bibr" rid="B19">Ellemers and Spears, 2002</xref>). This jointly constructed &#x0201C;group commitment&#x0201D; has high stickiness (<xref ref-type="bibr" rid="B19">Ellemers and Spears, 2002</xref>; <xref ref-type="bibr" rid="B23">He et al., 2023</xref>). Essentially, collaborative planning is not a change in the decision-making method, but rather reshapes environmental actions from &#x0201C;You make me do it&#x0201D; to &#x0201C;We choose to do it together.&#x0201D; This is precisely the qualitative leap from external regulation to integrative regulation in the Self-Determination Theory (<xref ref-type="bibr" rid="B24">Howard and Gagn&#x000E9;, 2020</xref>; <xref ref-type="bibr" rid="B37">N&#x000FA;&#x000F1;ez-Regueiro, 2024</xref>). In this process, co-planning addresses not only the &#x0201C;what to do&#x0201D; but, more profoundly, the &#x0201C;who we are&#x0201D; as a collective, resulting in behavior that is more resilient and self-sustaining as it becomes integrated into the individuals&#x00027; self-concept, fulfilling core psychological needs for autonomy, relatedness, and competence.</p>
</sec>
<sec>
<title>Implications for tourism: catalyzing environmental action and practical strategies</title>
<p>Although the partner effect of planners on followers is pronounced in contexts dominated by planners, such behavioral patterns still entail notable drawbacks. In hierarchical control scenarios characterized by planner-dominated dyads, the concentration of power enables the planner&#x00027;s environmental values to serve as a central behavioral influence, effectively to directly modify the actions of their partner. This top-down model, while empirically validating the penetration effect of power (<xref ref-type="bibr" rid="B20">Galinsky and Gruenfeld, 2003</xref>), results in the partner being ensnared in fragile compliance that ultimately undermined by extrinsic motivation (<xref ref-type="bibr" rid="B29">Kim, 2024</xref>).</p>
<p>In collaborative contexts, not only the partner effect significantly greater than that in the planner-dominated context, but there may also be deeper implications. In Symbiotic Emergence (Co-Planned Dyads), power parity fosters significant social negotiation, as conflicting values prompt cognitive restructuring (<xref ref-type="bibr" rid="B33">Liberman, 1991</xref>). Environmental values can influence their own and partners&#x00027; pro-environmental identity, exerting a bidirectional reinforcing effect (<xref ref-type="bibr" rid="B5">Balunde and Perlaviciute, 2020</xref>; <xref ref-type="bibr" rid="B22">Gatersleben and Murtagh, 2012</xref>). This process culminates in the formation of co-created identities, such as &#x0201C;eco-partners,&#x0201D; and shared behavioral commitments (<xref ref-type="bibr" rid="B19">Ellemers and Spears, 2002</xref>). This may be capable of stimulating more sustained pro-environmental behavior, and future research could employ longitudinal data analysis of the actor-partner interdependence model (<xref ref-type="bibr" rid="B4">Balunde, 2023</xref>; <xref ref-type="bibr" rid="B9">Cao and Zhong, 2025</xref>).</p>
<p>This study reveals that tourism transcends its conventional roles as an economic and cultural activity to serve as a catalyst for environmental protection, positioning travel as a viable pathway to &#x0201C;take green steps&#x0201D; toward sustainability (<xref ref-type="bibr" rid="B23">He et al., 2023</xref>). To enhance pro-environmental behavior, we propose two actionable strategies. First, in planner-dominated dyads (e.g., one partner solely planning the trip), elevating the planner&#x00027;s pro-environmental values through interventions like value-aligned video campaigns or targeted advertising that can trigger a cascading effect. This not only strengthens the planner&#x00027;s own pro-environmental identity but also fosters identity formation and behavioral adoption in their followers (via external regulation). Second, in co-planner dyads (e.g., joint itinerary design), enhancing social interaction (e.g., collaborative decision-making on routes or transportation) deepens mutual pro-environmental identity, thereby driving bidirectional pro-environmental behaviors. Complementing these, activity-based interventions (e.g., pro-environmental group activities like zero-waste hikes) further solidify shared identity through collective engagement, reinforcing both individual and paired pro-environmental actions. Therefore, tourism practitioners and policymakers should shift their perspective from viewing tourists as isolated individuals to actively shaping the quality of interactions between travel companions. By designing tourism products and services that necessitate collaboration (e.g., joint environmental tasks, negotiated green itineraries), the travel context can be transformed into a sustainability laboratory where pro-environmental behaviors are naturally adopted and reinforced through interaction.</p>
</sec>
<sec>
<title>Methodological innovation, limitations, and future directions</title>
<p>From the actor-partner interdependence mode perspective, individual-level interventions (boosting planners&#x00027; values) directly influence followers&#x00027; identity and behavior, while collective-level emphasis on cooperation amplifies and sustains these effects over time. Methodologically, this work innovates by applying APIM to compare power-asymmetric dyads, revealing that co-planning generates stronger, more persistent pro-environmental behaviors than hierarchical planning (via path coefficient comparisons and group contrasts). Limitations include its retrospective design, which risks recall bias; future studies should adopt contextual experiments or real-time diary feedback to enhance ecological validity. Additionally, as a cross-sectional inquiry, longitudinal APIM designs are needed to verify whether cooperative models sustain their effects on pro-environmental behavior over time (e.g., tracking behavior at 6-month intervals to assess durability). These insights bridge theory and practice, underscoring travel&#x00027;s potential as a platform for scalable environmental action.</p></sec></sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Academic Committee of the School of Educational Science, Shenyang Normal University. The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants&#x00027; legal guardians/next of kin because In compliance with national regulations and institutional policies, written informed consent was waived for participants or their legal guardians/next of kin.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>BY: Methodology, Validation, Visualization, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. JS: Conceptualization, Methodology, Project administration, Supervision, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x00027;s note</title>
<p>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.</p>
</sec>
<sec sec-type="supplementary-material" id="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpsyg.2026.1730412/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpsyg.2026.1730412/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/></sec>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/267106/overview">Mariaelena Tagliabue</ext-link>, University of Padua, Italy</p>
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<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3129204/overview">Nurul Diyana Md Khairi</ext-link>, Universiti Teknologi Malaysia, Malaysia</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3353411/overview">Riccardo Ceccato</ext-link>, University of Padua, Italy</p>
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