IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i3p1377-d1852460.html

Multi-Traits and Functions of Social Media Influencers in Arousing Individuals’ Pro-Environmental Behavioral Intentions Under the Tourism Consumption Context

Author

Listed:
  • Fang Liang

    (School of Tourism and Hotel Management, University of Sanya, 191 Xueyuan Road, Jiyang District, Sanya 572022, China)

  • Yuhao Lin

    (College of Hotel & Tourism Management, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea)

  • Xinjie Zheng

    (Information Engineering College, Hangzhou Dianzi University, No. 1 Hangdian Road, Qingshanhu Street, Lin’an District, Hangzhou 310018, China)

  • Gaomiao Ji

    (School of International Trade, University of Soongsil, 369 Sangdo-ro, Dongjak-gu, Seoul 06942, Republic of Korea)

  • Yong-Hyun Cho

    (College of Hospitality & Tourism Management, Sejong University, 98 Gunja-dong, Gwangjin-gu, Seoul 143-747, Republic of Korea)

Abstract

With the rapid development of the sharing economy and the progress of social ecological civilization, social media influencers (SMIs) have garnered significant from academia and practitioners for their pivotal role in fostering pro-environmental behavioral intentions within the tourism consumption context. Drawing on the two-step flow theory, social influence theory, and social learning theory, this study establishes an integrated analytical framework to elucidate how SMIs facilitate the balance between tourism development and ecosystem preservation by activating pro-environmental behavioral behavior. This study conceptualizes the SMIs’ multi-traits as a higher-order construct (a third-order reflective structure), which integrates content-determined and personality-determined attributes, viewing SMIs’ effectiveness as a coherent system of influence rather than a series of fragmented traits. Based on survey data collected from 598 Chinese social media users, the study utilized Covariance-Based Structural Equation Modeling (CB-SEM) to test the proposed model. The results demonstrate that SMIs’ multi-traits exert significant positive effects on parasocial relationships and wishful identification, which in turn enhance individuals’ willingness to mimic. This willingness to mimic serves as a core behavioral conversion mechanism, bridging digital influence on three pro-environmental behavioral intentions: general, specific and online advocacy intentions. Furthermore, robustness analyses reveal marked heterogeneity across education- and income-based groups, indicating that the efficacy of SMI traits and the psychological-to-behavioral conversion efficiency are contingent upon the recipients’ socioeconomic resources and cognitive capital. Overall, this study characterizes social media influencer marketing as a scalable, socially driven phenomenon that can effectively activate and promote pro-environmental behavioral intentions, providing valuable insights for environmental education and sustainable tourism development in the digital age.

Suggested Citation

  • Fang Liang & Yuhao Lin & Xinjie Zheng & Gaomiao Ji & Yong-Hyun Cho, 2026. "Multi-Traits and Functions of Social Media Influencers in Arousing Individuals’ Pro-Environmental Behavioral Intentions Under the Tourism Consumption Context," Sustainability, MDPI, vol. 18(3), pages 1-29, January.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:3:p:1377-:d:1852460
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/3/1377/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/18/3/1377/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:18:y:2026:i:3:p:1377-:d:1852460. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.