Development of a Causal Loop Model for the Sustainable Development of Ecotourism in Oceanic Island National Parks

Establishing protected areas and promoting ecotourism are widely recognized as important pathways toward sustainable development. This study examines the development of ecotourism in oceanic island national parks by applying a systems-thinking perspective to analyze the structural feedback relationships associated with sustainability. Using the driving force–state–response (DSR) indicator framework, we construct a qualitative causal loop model to articulate the interdependencies among ecological, economic, and governance variables within island national park systems. The identified causal relationships can be organized into three principal feedback structures: one reinforcing loop and two balancing loops. These feedback structures provide a theoretically grounded interpretation of how system components may interact within the proposed conceptual framework. Although this study does not include quantitative modeling or simulation, the structural configuration highlights relational patterns among variables that may serve as a basis for subsequent empirical and computational investigation. In addition, this study uses fee-based policy as an illustrative example within the conceptual model to demonstrate how policy interventions may interact with feedback mechanisms and potentially influence park sustainability. The proposed framework provides a foundation for future research that may extend the qualitative structure into more formalized modeling approaches under alternative policy scenarios.

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Publication Details

Journal
Sustainability
Published
2026-02-18
DOI
https://doi.org/10.3390/su18042071
Primary Topic
Sustainability and Climate Change Governance
Type
article
Field-Weighted Citation Impact
0.00

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article

Development of a Causal Loop Model for the Sustainable Development of Ecotourism in Oceanic Island National Parks

L Ling-Hsiang Chuang, E Chen
Sustainability
Sustainability and Climate Change Governance
article

Development of a Causal Loop Model for the Sustainable Development of Ecotourism in Oceanic Island National Parks

L Ling-Hsiang Chuang, E Chen
article en

Abstract

Establishing protected areas and promoting ecotourism are widely recognized as important pathways toward sustainable development. This study examines the development of ecotourism in oceanic island national parks by applying a systems-thinking perspective to analyze the structural feedback relationships associated with sustainability. Using the driving force–state–response (DSR) indicator framework, we construct a qualitative causal loop model to articulate the interdependencies among ecological, economic, and governance variables within island national park systems. The identified causal relationships can be organized into three principal feedback structures: one reinforcing loop and two balancing loops. These feedback structures provide a theoretically grounded interpretation of how system components may interact within the proposed conceptual framework. Although this study does not include quantitative modeling or simulation, the structural configuration highlights relational patterns among variables that may serve as a basis for subsequent empirical and computational investigation. In addition, this study uses fee-based policy as an illustrative example within the conceptual model to demonstrate how policy interventions may interact with feedback mechanisms and potentially influence park sustainability. The proposed framework provides a foundation for future research that may extend the qualitative structure into more formalized modeling approaches under alternative policy scenarios.

SustainabilityVol. 18(4)
National Cheng Kung University (TW)
National Science and Technology Council
Openalex Percentile: Top 65%
Sustainability and Climate Change Governance
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Development of a Causal Loop Model for the Sustainable Development of Ecotourism in Oceanic Island National Parks — L Ling-Hsiang Chuang, E Chen · Sustainability (2026) | TGRS Research Map | TGRS