5.1. Structural Equation Modeling (SEM) Analysis of Penta-Helix Collaboration, Regenerative Tourism, and Sustainability Outcomes
The structural equation modeling (SEM) analysis demonstrated a satisfactory model fit (χ
2/df = 1.97; RMSEA = 0.046; CFI = 0.94; TLI = 0.93; SRMR = 0.061). Reliability and validity assessments confirmed acceptable thresholds for all constructs (Cronbach’s α = 0.82–0.91; AVE > 0.50), indicating internal consistency and convergent validity. The path analysis revealed several significant relationships. First, Penta-Helix collaboration exhibited a strong and positive influence on regenerative tourism (β = 0.62, t = 8.45,
p < 0.001). This finding underscores the importance of multi-stakeholder governance in fostering regenerative practices, particularly in destinations facing overtourism pressures such as Bali. Effective coordination among government, academia, industry, community, and media actors creates enabling conditions for tourism development that moves beyond conventional sustainability, actively restoring ecological systems and revitalizing cultural heritage. This aligns with prior studies emphasizing the centrality of collaborative governance in enhancing resilience and innovation within tourism destinations (
Basyar et al., 2025;
Srisawat et al., 2023;
Pinhal et al., 2025;
Sørensen & Torfing, 2021;
Ayala-Orozco et al., 2018). The strength of this coefficient further suggests that regenerative tourism cannot be achieved through isolated initiatives, but rather requires systemic, cross-sectoral engagement. This echoes research highlighting how networked governance and community participation enhance destination sustainability (
Baggio & Scott, 2020a;
Srisawat et al., 2023;
Sørensen & Torfing, 2021). In the Balinese context, where overtourism has strained cultural and ecological resources, inclusive collaboration emerges as a prerequisite for advancing regenerative pathways.
Second, regenerative tourism exerted a significant effect on overtourism mitigation strategies (β = 0.57, t = 7.92,
p < 0.001). This relationship highlights how regenerative principles—prioritizing community well-being, respecting carrying capacities, and restoring ecological integrity—translate into practical approaches for managing visitor flows. Comparable evidence is reported in
Miedes-Ugarte and Flores-Ruiz (
2025), who demonstrate that regenerative initiatives strengthen destination stewardship and resilience. For Bali, this result signals a necessary shift from mass tourism expansion to a development paradigm grounded in balance, restoration, and limits, in line with
Fletcher et al. (
2019), who argue that regenerative tourism challenges growth-driven logics and reorients destinations within ecological and socio-cultural thresholds.
Third, overtourism mitigation strategies significantly contributed to sustainability outcomes across multiple dimensions: economic (β = 0.41,
p = 0.001), socio-cultural (β = 0.53,
p < 0.001), and environmental (β = 0.48,
p < 0.001). These findings suggest that measures such as visitor caps, zoning regulations, and community-led initiatives not only protect local identity and cultural heritage but also enhance ecological integrity and ensure more equitable economic distribution. This resonates with
Koens et al. (
2018), who emphasize that managing tourism intensity is central to sustaining the triple bottom line of sustainability. In Bali, where overtourism manifests in congestion, waste accumulation, and cultural commodification, effective mitigation strategies are indispensable for restoring harmony between tourism and local systems.
Taken together, the SEM results support the proposed conceptual model in which Penta-Helix collaboration acts as the enabling mechanism, regenerative tourism as the pathway, and overtourism mitigation as the mediating process toward sustainable outcomes. This reflects a paradigm shift from traditional destination management toward regenerative tourism, characterized by collaborative governance, innovation, and local stewardship. Such an approach aligns with
Higgins-Desbiolles’ (
2018),
Poetra and Nurjaya (
2024) and
Wiranatha et al. (
2024) assertion that the future of sustainable tourism requires not only harm minimization but also the creation of positive socio-cultural and ecological impacts.
Finally, the mediation analysis confirmed that regenerative tourism indirectly influenced sustainability outcomes through overtourism mitigation strategies. Sobel tests indicated full mediation in the case of economic outcomes and partial mediation for socio-cultural and environmental outcomes. This highlights the role of overtourism mitigation as a critical conduit through which regenerative practices contribute to long-term sustainability.
Indicator loadings: PH1 = 0.72, PH2 = 0.80, PH3 = 0.76, PH4 = 0.68, PH5 = 0.74, R
2 = 0.60. All indicator loadings exceed 0.68, demonstrating strong relationships between the indicators and the Pentahelix latent variable. PH1–PH5 reliably represent the collaboration among the five stakeholders: government, academia, business, community, and media. An R
2 of 0.60 indicates that 60% of the variance in the Pentahelix construct is explained by its indicators, a substantial value in social sciences (
Hair et al., 2019). Pentahelix collaboration is essential for sustainable tourism governance, integrating multi-stakeholder inputs to enhance planning, policy, and implementation (
Irungu et al., 2023;
Baggio & Scott, 2020a;
Sørensen & Torfing, 2021;
Dragomir et al., 2020).
- 2.
Regenerative Tourism (RT1–RT3)
Indicator loadings: RT1 = 0.79, RT2 = 0.83, RT3 = 0.77, R
2 = 0.55. Path coefficient: PH → RT = 0.62. Indicators strongly reflect regenerative tourism principles, including ecological restoration, community empowerment, and cultural sustainability. The path coefficient (0.62) shows that Pentahelix collaboration significantly drives regenerative tourism initiatives. R
2 = 0.55 indicates that 55% of the variance in regenerative tourism is explained by Pentahelix collaboration. Regenerative tourism requires active stakeholder engagement to restore ecological and socio-cultural systems (
Shi et al., 2020;
Basyar et al., 2025). Pentahelix frameworks enhance the effectiveness of regenerative tourism strategies (
Marinescu et al., 2021).
- 3.
Mitigation Strategies (MS1–MS4)
Indicator loadings: MS1 = 0.75, MS2 = 0.78, MS3 = 0.72, MS4 = 0.70, R
2 = 0.50, Path coefficient: RT → MS = 0.58. Indicators represent strategies for managing overtourism, including policy enforcement, visitor dispersal, and local engagement. The path (0.58) indicates regenerative tourism significantly informs mitigation strategies. R
2 = 0.50 shows that 50% of the variance in mitigation strategies is explained by regenerative tourism. Regenerative and sustainable tourism practices are linked to effective overtourism mitigation strategies, such as zoning, carrying capacity regulation, and stakeholder participation (
Perkumienė & Pranskūnienė, 2019;
Żemła & Szromek, 2021;
Benner, 2020).
- 4.
Economic Sustainability (ES1–ES3)
Indicator loadings: ES1 = 0.81, ES2 = 0.77, ES3 = 0.79, R
2 = 0.52, Path coefficient: MS → ES = 0.65. Indicators capture economic sustainability outcomes like income generation, local employment, and financial resilience. The strong path (0.65) indicates that mitigation strategies improve economic sustainability. Sustainable tourism interventions enhance local economies by distributing benefits equitably and supporting resilience (
Yang et al., 2023;
Kurniawan & Khademi-Vidra, 2024).
- 5.
Social-Cultural Sustainability (SS1–SS3)
Indicator loadings: SS1 = 0.74, SS2 = 0.78, SS3 = 0.76, R
2 = 0.48, Path coefficient: MS → SS = 0.60. Indicators represent social cohesion, cultural heritage preservation, and community engagement. The path (0.60) shows mitigation strategies support social-cultural sustainability. R
2 = 0.48 indicates that nearly half of the variance is explained by mitigation strategies. Tourism management strategies are critical for preserving local cultures while minimizing social disruption (
UNWTO, 2018;
Benhaida et al., 2024).
- 6.
Environmental Sustainability (EV1–EV3)
Indicator loadings: EV1 = 0.80, EV2 = 0.82, EV3 = 0.79, R
2 = 0.50, Path coefficient: MS → EV = 0.63. Indicators reflect ecological health, biodiversity protection, and resource efficiency. Mitigation strategies positively affect environmental outcomes (β = 0.63), with 50% of variance explained. Effective mitigation and regenerative strategies are critical to reducing tourism-related environmental degradation (
Higham et al., 2016;
Kowarik et al., 2020).
Overall Model Interpretation
As shown in
Table 5, Pentahelix collaboration strongly drives regenerative tourism (PH → RT = 0.62). Regenerative tourism informs mitigation strategies to manage overtourism (RT → MS = 0.58). Mitigation strategies enhance economic, social-cultural, and environmental sustainability (MS → ES/SS/EV = 0.60–0.65). All constructs have strong indicator loadings (>0.68) and substantial R
2 values (0.48–0.60), reflecting reliable and significant relationships. This model represents a holistic, Pentahelix-driven framework where collaboration catalyzes regenerative tourism, which leads to effective mitigation strategies and sustainable outcomes.
To assess the measurement model, both convergent and discriminant validity were evaluated. Standardized loadings (SL) across all constructs exceeded the recommended threshold of 0.70 (
Hair et al., 2019), confirming that each indicator strongly represented its underlying latent construct. The Composite Reliability (CR) values were all above 0.90, surpassing the commonly accepted cutoff of 0.70, which indicates strong internal consistency (
Hair et al., 2019;
Mukid et al., 2022). Similarly, the Average Variance Extracted (AVE) values exceeded 0.50, fulfilling the criterion proposed by
Mukid et al. (
2022), and demonstrating that each construct captured more than half of the variance of its indicators—thus confirming convergent validity.
To establish discriminant validity, the Fornell–Larcker criterion was applied. The bold diagonal entries in the correlation matrix represent the square root of AVE (√AVE), which were consistently higher than the corresponding inter-construct correlations. This satisfies the Fornell–Larcker criterion, confirming that each construct is empirically distinct from the others (
Mukid et al., 2022). Furthermore, the Maximum Shared Variance (MSV) and Average Shared Variance (ASV) values were lower than their corresponding AVEs, providing additional support for discriminant validity (
Hair et al., 2019). As summarized in
Table 6, the Heterotrait–Monotrait (HTMT) ratio of correlations was examined, with all values falling below the stricter threshold of 0.85 (
Hair et al., 2021). This strengthens the evidence that the constructs in the model are conceptually and statistically distinct. Taken together, these results confirm that the measurement model demonstrates both convergent and discriminant validity, providing a solid foundation for the subsequent structural analysis.
The results of the structural equation modeling (SEM) analysis presented in
Table 6 demonstrate the significant relationships among Penta-Helix (PH) collaboration, regenerative tourism (RT), market sustainability (MS), and various dimensions of sustainability. Specifically, PH collaboration positively influences RT (β = 0.62,
p < 0.001), aligning with findings that multi-stakeholder partnerships enhance sustainable tourism development (
Sørensen & Torfing, 2021;
Dragomir et al., 2020). RT, in turn, significantly affects MS (β = 0.58,
p < 0.001), supporting the notion that regenerative tourism practices contribute to long-term market viability. MS positively impacts environmental sustainability (ES) (β = 0.55,
p < 0.001), social sustainability (SS) (β = 0.50,
p < 0.001), and economic value (EV) (β = 0.53,
p < 0.001), consistent with the triple bottom line approach in sustainable tourism (
Naqvi et al., 2023). Furthermore, the indirect effect of PH on ES through RT and MS (β = 0.32,
p < 0.001) underscores the cascading impact of collaborative efforts on sustainability outcomes (
Sørensen & Torfing, 2021). These findings collectively highlight the critical role of integrated stakeholder collaboration in fostering regenerative tourism that advances environmental, social, and economic sustainability (
Dragomir et al., 2020). Not all collaborative dimensions demonstrated statistically significant effects. For instance, the linkage between media advocacy and policy implementation (β = 0.09,
p > 0.05) was weak, indicating that media involvement remains peripheral in the governance process. Similarly, community engagement, while significant in qualitative discussions, showed only a moderate quantitative effect (β = 0.27,
p < 0.05), reflecting structural constraints and limited access to decision-making arenas. Several community and NGO representatives also expressed frustration that “collaboration meetings are often symbolic, and decisions are already made before consultation,” illustrating uneven participation and power asymmetry. These non-significant and dissenting findings underscore that collaborative governance in Bali remains a dynamic but imperfect process, revealing both progress and persisting challenges in stakeholder inclusivity.
The SEM analysis confirms that collaborative governance exerts a significant influence on regenerative tourism outcomes (β = 0.62, p < 0.001). Rather than treating this as a purely statistical finding, this result indicates that governance networks in Bali function as catalysts for aligning environmental recovery with socio-cultural preservation. The findings also reveal that community engagement plays a mediating role between government facilitation and sustainability outcomes, demonstrating the importance of inclusive participation in achieving regeneration. In summary, the results highlight that stakeholder collaboration does not only correlate with policy implementation effectiveness but also transforms shared perceptions of responsibility among tourism actors.
5.2. Strategy Prioritization (AHP Results)
While the SEM results confirmed that overtourism mitigation mediates the relationship between regenerative tourism and sustainability outcomes, the AHP analysis provided further insight into which strategies are perceived as most effective. As presented in
Table 7, stakeholders ranked carrying capacity enforcement as the top priority (0.34), followed by participatory governance (0.28), visitor zoning (0.22), and eco-certification (0.16). These findings indicate that policy enforcement and community involvement are perceived as more impactful than market-driven instruments such as eco-certification. This complements the SEM evidence by clarifying which operational mechanisms most strongly translate regenerative tourism into sustainability outcomes.
Pairwise comparisons were collected from a purposive sample of 30 key stakeholders representing government, academia, business, community, and media. Local weights are the normalized priority vectors derived from the principal eigenvector of the aggregated pairwise comparison matrix. Global priorities here equal local weights because strategies were evaluated against an overall sustainability objective; if multiple criteria weights are used (economic, socio-cultural, environmental), include a criterion-level weighting table and compute weighted global priorities.
The AHP prioritization complements the SEM findings by indicating which mitigation strategies stakeholders judge most effective in translating regenerative tourism into sustainability outcomes. As shown in
Table 8, carrying capacity enforcement received the highest priority (weight = 0.342), followed by participatory governance (0.278), visitor zoning and dispersal (0.216), and eco-certification (0.164). The aggregated consistency ratio (CR = 0.06) indicates coherent pairwise judgments. These priorities align with the SEM evidence that governance and operational mitigation are critical: stakeholders place relatively greater weight on enforceable and participatory mechanisms than on voluntary market instruments, reinforcing the argument that regenerative goals require institutional backing to yield measurable sustainability benefits.
The AHP prioritization complements the SEM evidence by revealing which mitigation strategies stakeholders consider most effective for delivering sustainability outcomes. Carrying capacity enforcement emerged as the top-ranked strategy (global priority = 0.332), closely followed by participatory governance (0.326). Visitor zoning (0.196) and eco-certification (0.146) were ranked lower. The relatively high weights for carrying capacity and participatory governance suggest that stakeholders place greater confidence in enforceable and community-embedded mechanisms than in voluntary market instruments. The aggregated CR of 0.06 indicates coherent and reliable pairwise judgments. The criterion weights used above (Economic = 0.28; Socio-cultural = 0.36; Environmental = 0.36) were derived from stakeholder pairwise comparisons and represent the importance of each sustainability criterion in the decision context. Local weights per criterion (the three intermediate columns) were computed from aggregated pairwise comparisons among strategies for each criterion; global priorities were calculated as the weighted sum of local weights by the criterion weights and normalized to sum to 1. For reproducibility include the aggregated pairwise comparison matrices for each criterion, the eigenvector/principal eigenvalue calculations, and the individual respondents’ consistency ratios (CR) in an appendix. A CR < 0.10 for aggregated matrices supports the reliability of the results.
The qualitative analysis revealed multiple and sometimes conflicting stakeholder perspectives. While government officials emphasized the progress of inter-agency coordination, community respondents frequently voiced concerns over tokenistic participation, noting that public consultations rarely change final policy outcomes. Business actors acknowledged the importance of collaboration but admitted prioritizing short-term recovery over long-term sustainability goals. NGO representatives also cautioned that “regeneration rhetoric risks becoming symbolic if structural imbalances persist.” These counter-narratives illustrate that governance in Bali operates within contested social and political spaces, where collaboration is negotiated rather than universally agreed upon. Such diversity of views provides critical insight into both the achievements and limitations of regenerative governance in overtourism settings.
The results indicate that Penta-Helix collaboration exerts a strong and significant influence on regenerative tourism in Bali (β = 0.62, t = 7.45, p < 0.001). This finding demonstrates that multi-stakeholder governance structures provide the enabling conditions for translating regenerative principles into operational practices. Specifically, collaboration among government, academia, business, community, and media stakeholders fosters policy integration, knowledge transfer, innovation, and collective awareness that are critical to advancing ecological restoration, community empowerment, and cultural revitalization initiatives.
This supports collaborative governance theory (
Zhang et al., 2023;
Basyar et al., 2025), which argues that complex sustainability challenges cannot be addressed by isolated actors but require coordinated cross-sectoral engagement. It also aligns with regenerative tourism scholarship, which highlights that systemic, multi-actor collaboration is essential to move beyond harm reduction toward restoration and resilience (
Miedes-Ugarte & Flores-Ruiz, 2025). In the context of Bali’s overtourism pressures, the results underscore that Penta-Helix partnerships are not only structural arrangements but also functional mechanisms that embed regenerative practices into destination management.
H1: Penta-Helix collaboration positively influences regenerative tourism.
Hypothesis H1 is supported. The SEM analysis confirms a positive and statistically significant path from Penta-Helix collaboration to regenerative tourism (β = 0.62, p < 0.001, R2 = 0.55). This suggests that 55% of the variance in regenerative tourism practices is explained by collaborative governance across the five stakeholder groups.
Theoretically, this extends the Penta-Helix framework (
Irungu et al., 2023;
Baggio & Scott, 2020a) by showing its empirical utility in tourism contexts marked by overtourism. Practically, it highlights that regenerative outcomes in destinations like Bali such as cultural revitalization programs and ecological restoration projects—depend on the coordinated contributions of multiple sectors. This finding resonates with
Srisawat et al. (
2023) who emphasize that networked governance catalyzes innovation, resilience, and systemic change in tourism.
The qualitative analysis revealed diverse and sometimes conflicting stakeholder perspectives. While government and business actors emphasized regulatory efficiency and investment incentives, community stakeholders highlighted cultural preservation, fair participation, and distrust toward decision-making processes dominated by formal institutions. These findings suggest that stakeholder collaboration in Bali is shaped by underlying power asymmetries that can limit genuine inclusivity and equity. Addressing such imbalances is therefore essential for achieving regenerative governance outcomes.
- 2.
Does regenerative tourism enhance overtourism mitigation strategies?
The findings show that regenerative tourism significantly enhances overtourism mitigation strategies (β = 0.58, t = 6.80, p < 0.001). This suggests that regenerative approaches, which prioritize ecological restoration, cultural revitalization, and community empowerment, provide a practical foundation for designing and implementing measures to manage overtourism. In Bali, this translates into initiatives such as visitor dispersal policies, carrying capacity enforcement, eco-certification, and participatory governance.
Theoretically, this result highlights that regenerative tourism functions not only as a vision or paradigm but as a driver of operational interventions that tackle overtourism’s structural challenges. This extends overtourism research, which has often emphasized descriptive accounts of its symptoms (
Koens et al., 2018;
Żemła & Szromek, 2021;
Benner, 2020), by demonstrating how regenerative principles can shape concrete mitigation tools. It also aligns with
Fletcher et al. (
2019) and
Miedes-Ugarte and Flores-Ruiz (
2025) who argue that regenerative tourism reorients destinations away from growth-driven models and toward systemic restoration and resilience.
H2: Regenerative tourism positively influences overtourism mitigation strategies.
Hypothesis H2 is supported. The SEM results reveal a positive and significant relationship between regenerative tourism and overtourism mitigation (β = 0.58, p < 0.001, R2 = 0.50). This indicates that 50% of the variance in mitigation strategies is explained by regenerative practices, highlighting the central role of regenerative tourism in enabling visitor management, ecological protection, and community-centered planning.
This finding strengthens the bridge between regenerative tourism theory and sustainability transition studies, confirming that regenerative principles act as catalysts for overtourism management. By grounding mitigation strategies in community and ecological priorities, regenerative tourism creates a pathway for transforming high-pressure destinations like Bali into more balanced, resilient systems. This resonates with
Wang and Ran (
2018) and
Iddawala and Lee (
2025), who emphasize that mitigation must be embedded in participatory and restorative governance structures to be effective.
- 3.
Do overtourism mitigation strategies mediate the relationship between regenerative tourism and sustainability outcomes?
The results demonstrate that overtourism mitigation strategies play a mediating role in linking regenerative tourism to economic, socio-cultural, and environmental sustainability outcomes. Mediation tests (Sobel/bootstrapping) confirmed full mediation for economic outcomes and partial mediation for socio-cultural and environmental outcomes. Specifically, regenerative tourism influences sustainability indirectly through mechanisms such as visitor zoning, carrying capacity enforcement, eco-certification, and participatory governance.
This underscores that regenerative tourism alone—while visionary—requires operational translation into management interventions in order to yield measurable impacts across the triple bottom line. Without effective mitigation strategies, regenerative principles remain aspirational. The findings extend sustainability transition theory by conceptualizing overtourism mitigation not merely as a policy endpoint but as a causal mechanism that bridges regenerative paradigms with tangible sustainability outcomes (
Wang & Ran, 2018;
Iddawala & Lee, 2025;
Poetra & Nurjaya, 2024).
H3a: Overtourism mitigation mediates the relationship between regenerative tourism and economic sustainability.
Supported. Mitigation strategies significantly improved economic sustainability (β = 0.41,
p < 0.01), including income stability and diversification. Mediation analysis indicates that regenerative tourism’s contribution to local economic resilience occurs primarily through structured visitor management and equitable distribution mechanisms. This aligns with
Yang et al. (
2023) who emphasize that effective governance ensures regenerative practices generate broad-based economic benefits rather than elite capture.
H3b: Overtourism mitigation mediates the relationship between regenerative tourism and socio-cultural sustainability.
Supported. Mitigation strategies significantly influenced socio-cultural sustainability (β = 0.53,
p < 0.001), with partial mediation detected. This suggests that regenerative tourism strengthens cultural authenticity and community cohesion, but the preservation of heritage and intergenerational transmission of traditions requires operational support from zoning policies, community-led tourism, and participatory governance (
Benhaida et al., 2024;
UNWTO, 2018).
H3c: Overtourism mitigation mediates the relationship between regenerative tourism and environmental sustainability.
Supported. Mitigation strategies significantly enhanced environmental sustainability (β = 0.48,
p < 0.001), confirming that ecological restoration principles embedded in regenerative tourism gain effectiveness when coupled with concrete measures such as carrying capacity enforcement, biodiversity conservation, and waste reduction. This aligns with
Higham et al. (
2016), and
Kowarik et al. (
2020), who argue that ecological outcomes require both regenerative intent and strict management interventions.
- 4.
How do overtourism mitigation strategies influence the economic, socio-cultural, and environmental dimensions of sustainability?
The results reveal that overtourism mitigation strategies directly and positively influence all three dimensions of sustainability economic, socio-cultural, and environmental. By managing visitor flows, enforcing carrying capacity, and embedding participatory governance, mitigation strategies help rebalance tourism’s impacts across Bali’s triple bottom line (
Poetra & Nurjaya, 2024). Theoretically, this confirms the triple bottom line framework (
Shim et al., 2021) within overtourism contexts, showing that mitigation does not involve trade-offs between economic, cultural, and ecological priorities but can simultaneously advance all three. This extends overtourism scholarship by demonstrating that proactive mitigation transforms destinations from reactive harm-reduction models toward systemic sustainability outcomes (
Koens et al., 2018;
Birinci et al., 2025).
H4a: Overtourism mitigation positively influences economic sustainability.
Supported. Mitigation strategies significantly improved economic sustainability (β = 0.41,
p < 0.01), ensuring income stability, diversification, and reinvestment in local economies. This reflects that structured visitor management can protect local livelihoods by stabilizing demand and avoiding unsustainable boom–bust cycles (
Yang et al., 2023).
H4b: Overtourism mitigation positively influences socio-cultural sustainability.
Supported. Mitigation strategies exerted a strong effect on socio-cultural sustainability (β = 0.53,
p < 0.001), helping preserve cultural authenticity, strengthen community cohesion, and promote intergenerational transmission of traditions. This validates findings by
Benhaida et al. (
2024) and
S. Li et al. (
2023) who argue that community-led tourism and cultural zoning enhance resilience against cultural commodification.
H4c: Overtourism mitigation positively influences environmental sustainability.
Supported. Mitigation strategies significantly enhanced environmental sustainability (β = 0.48,
p < 0.001)
, confirming their role in biodiversity conservation, waste reduction, and water resource management. This resonates with
Higham et al. (
2016),
Kowarik et al. (
2020). who emphasize that ecological sustainability depends on both regenerative principles and enforceable policy measures.
- 5.
Which overtourism mitigation strategies should be prioritized to achieve sustainability outcomes?
To complement the SEM findings, Analytic Hierarchy Process (AHP) analysis was conducted with 30 purposively selected stakeholders representing the Penta-Helix groups (government, academia, business, community, and media). The analysis aimed to prioritize four mitigation strategies—carrying capacity enforcement, participatory governance, visitor zoning and dispersal, and eco-certification—based on their contributions to economic, socio-cultural, and environmental sustainability.
- 6.
Priority ranking of mitigation strategies
Stakeholders ranked carrying capacity enforcement as the top priority (global priority = 0.332), followed closely by participatory governance (0.326). Visitor zoning and dispersal (0.196) and eco-certification (0.146) were ranked lower. The aggregated consistency ratio (CR = 0.06) confirmed that the pairwise comparisons were coherent and reliable (CR < 0.10 threshold;
Wang et al., 2024). The AHP results suggest that stakeholders in Bali place the highest value on enforceable and participatory mechanisms carrying capacity enforcement and community-led governance—over market-based instruments like eco-certification. This finding complements the SEM evidence that overtourism mitigation mediates sustainability outcomes by clarifying which specific strategies stakeholders view as most effective. Importantly, the relatively balanced priorities between carrying capacity enforcement and participatory governance highlight that both regulatory enforcement and inclusive decision-making are essential pillars for overtourism mitigation in Bali. Visitor zoning/dispersal and eco-certification, while useful, were considered supplementary rather than central. This ranking aligns with recent scholarship emphasizing that overtourism challenges require structural policy measures and community empowerment, rather than relying solely on voluntary or market-driven initiatives (
Koens et al., 2018;
Higgins-Desbiolles, 2018;
Hoang et al., 2018).
The AHP results, which ranked carrying capacity enforcement and participatory governance as the two most critical overtourism mitigation strategies, yield several important implications for tourism governance in Bali.
The prioritization of carrying capacity enforcement reflects stakeholder recognition that regulatory frameworks must be strengthened and consistently applied. For Bali, this implies stricter controls on visitor numbers in ecologically sensitive areas, improved monitoring systems, and penalties for non-compliance. Strong enforcement mechanisms are particularly critical in destinations where overtourism pressures threaten environmental integrity and community well-being (
Koens et al., 2018).
- 2.
Participatory governance and community legitimacy
The near-equal ranking of participatory governance underscores the importance of inclusive decision-making structures. Community-led planning ensures that residents’ voices are integrated into zoning policies, event design, and visitor management, which increases legitimacy and compliance. This reflects broader governance debates that emphasize shared stewardship and collaborative capacity-building (
Basyar et al., 2025;
Higgins-Desbiolles, 2018).
- 3.
Balancing enforcement with empowerment
The combination of enforcement and participation suggests that neither top-down regulation nor bottom-up engagement alone is sufficient. Bali’s governance framework should therefore pursue a hybrid model, where clear rules are established and enforced by government, while communities, businesses, and civil society co-create solutions. This dual approach can reduce resistance, improve compliance, and foster a culture of shared responsibility (
Akita & Alisjahbana, 2023;
Poetra & Nurjaya, 2024)
- 4.
Reframing supplementary tools
Visitor zoning and eco-certification, though ranked lower, remain valuable as supporting instruments. Their effectiveness depends on being embedded within stronger governance frameworks. For instance, eco-certification can incentivize businesses once carrying capacity and community governance mechanisms are in place. Overall, these results point to a strategic governance mix such as: hard regulatory enforcement combined with participatory, community-driven planning. This balance is essential for operationalizing regenerative tourism principles and ensuring that mitigation strategies translate into long-term sustainability outcomes across Bali’s economic, socio-cultural, and environmental dimensions (
Mananda & Sudiarta, 2024).