Cognitive Misalignment Among Stakeholders and Governance Strategies in the Li River Karst Scene–Village System: A Q Methodology Study
Year: 2026
Type: article
Abstract: This study addresses the intensifying conflict between conservation and tourism development in global natural World Heritage sites by exploring how cognitive misalignments among stakeholders obstruct scene–village symbiosis and by proposing governance strategies grounded in cognitive coordination to enhance sustainable governance effectiveness. Focusing on three representative villages located in the overlapping area of the Li River World Heritage protection zone and the scenic tourism area, which represent the consolidation/maturity, emerging incubation, and potential cultivation stages of tourism development, the study employs Q methodology to identify stakeholder cognitive clusters and their interactive logics. Four cognitive clusters are revealed: utilitarian landscape instrumentalism, livelihood entitlement-oriented, nostalgic disciplinary gaze, and institutional risk aversion. Their presence and combinations vary across different development stages, forming distinct cognitive configurations. These clusters exhibit both couplings and tensions in value preferences, benefit claims, and action logic, which shape rule acceptance and willingness to collaborate. By overcoming the limitations of conventional surveys in capturing latent perceptions, this study proposes an integrated “cognitive differences—strategic interactions—policy mechanisms” framework. The findings offer transferable insights for managing multi-stakeholder heritage destinations, particularly in ecologically fragile areas facing overtourism pressures and sustainability challenges.
Source: Sustainability
DOI: 10.3390/su18031569
Authors: Bing Lin, Jiani Chen, Guoshu Bin, Lisha Zhu
Institution: Guilin University of Technology
Language: English
Subfield: Archeology
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,896
Award: G4007103229
OpenAlex ID: W7127577315
