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A Mixed Methods Study on Community-Based Tourism as an Adaptive Response to Water Crisis in San Andrés Ixtlahuaca, Oaxaca, Mexico

Author

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  • María del Rosario Reyes-Santiago

    (Unidad Campeche, El Colegio de la Frontera Sur (ECOSUR), Av. Rancho Polígono No. 2-A, Lerma, Campeche C.P. 24500, Mexico)

  • Elia Méndez-García

    (CIIDIR-IPN Unidad Oaxaca, Instituto Politécnico Nacional, Hornos No. 1003 Santa Cruz Xoxocotlán, Oaxaca C.P. 71230, Mexico)

  • Patricia S. Sánchez-Medina

    (CIIDIR-IPN Unidad Oaxaca, Instituto Politécnico Nacional, Hornos No. 1003 Santa Cruz Xoxocotlán, Oaxaca C.P. 71230, Mexico)

Abstract

Water scarcity is a threat in San Andrés Ixtlahuaca, Mexico, that imperils the survival of farming households whose food and income depend on rainfed agriculture. This research extends the framework of socioecological systems to tourism to understand how community-based tourism flourishes: not spontaneously but as part of an adaptive response to the water crisis. A research model was constructed based on mixed methods. For the qualitative approach, interviews were conducted with 12 community leaders. Results show that different capabilities have been developed throughout the adaptive cycle: information capabilities at the Ω phase; involvement capabilities at the α phase; self-esteem capabilities at the r phase; and resource use capabilities at the k phase. These capabilities make it possible to face the water crisis, but they also favor the implementation of tourist activity. For the quantitative approach, a questionnaire was applied to 88 community participants directly involved in tourism activities to discover the current state of the tourism-related capabilities, their shaping, and relationships. A partial least squares structural equation modeling (PLS-SEM) to test the hypotheses raised was used. The activity makes the community resilient because it seeks to conserve and improve community resources through tourism-related capabilities.

Suggested Citation

  • María del Rosario Reyes-Santiago & Elia Méndez-García & Patricia S. Sánchez-Medina, 2022. "A Mixed Methods Study on Community-Based Tourism as an Adaptive Response to Water Crisis in San Andrés Ixtlahuaca, Oaxaca, Mexico," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:5933-:d:815084
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    References listed on IDEAS

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    1. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    2. Su-Hsin Lee & Yin-Jen Chen, 2021. "Indigenous Knowledge and Endogenous Actions for Building Tribal Resilience after Typhoon Soudelor in Northern Taiwan," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    3. Li Lv & Jing Hu & Xin Xu & Xiaobo Tian, 2021. "The Evolution of Rural Tourism in Wuhan: Complexity and Adaptability," Sustainability, MDPI, vol. 13(24), pages 1-21, December.
    4. Pilar Espeso-Molinero & María José Pastor-Alfonso, 2020. "Governance, Community Resilience, and Indigenous Tourism in Nahá, Mexico," Sustainability, MDPI, vol. 12(15), pages 1-20, July.
    5. Christian Nitzl & Wynne W. Chin, 2017. "The case of partial least squares (PLS) path modeling in managerial accounting research," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 28(2), pages 137-156, May.
    6. Eirini Skrimizea & Constanza Parra, 2020. "An adaptation pathways approach to water management and governance of tourist islands: the example of the Southern Aegean Region in Greece," Water International, Taylor & Francis Journals, vol. 45(7-8), pages 746-764, November.
    7. Adi Weidenfeld, 2018. "Tourism Diversification and Its Implications for Smart Specialisation," Sustainability, MDPI, vol. 10(2), pages 1-24, January.
    8. Holger Schäfer & Takaaki Miyaguchi & Miki Yoshizumi & Nguyen Ngoc Tung, 2020. "Complexity of the Socio-Ecological Dynamics in Hong Ha Commune in the Vietnamese Highland—A Review through the Coupled Human and Natural Systems Framework," Sustainability, MDPI, vol. 12(15), pages 1-22, August.
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