Research on the Optimization Pathways and Mechanisms of Rural Tourism in Ethnic Regions under the Background of Rural Revitalization:Analysis Based on Interpretive Structural Model
Rural tourism serves as a pivotal tool for addressing the"issues of agriculture,farmer and rural area"in China and for promoting the rural revitalization strategy.As an essential area for rural tourism development,ethnic regions in China face substantial structural challenges,including significant contradictions in development quality and industrial structure,as well as mismatches between supply and demand.These challenges highlight the need for optimization strategies tailored to the unique socio-economic and cultural characteristics of ethnic regions.Against this backdrop,this study focuses on Jiazi village as a case study to explore effective pathways and mechanisms for optimizing rural tourism development in ethnic areas.Using the interpretive structural modeling(ISM)method and the cross-impact matrix multiplication applied to classification(MICMAC)technique,we construct a structural system and logical mechanism of influencing factors for optimization within the context of rural revitalization.The study yielded several key findings.First,factors such as strengthening market regulations,enhancing enterprise Party building,and implementing industrial feedback significantly impact the optimization of rural tourism development in ethnic regions.These factors address systemic imbalances by fostering regulatory compliance,aligning business operations with community interests,and creating sustainable linkages between tourism development and local industries.Second,the optimized structural system constructed in this study is a six-level conical framework consisting of 19 influencing factors.This framework reflects a clear causal structure,transitioning from optimization drivers at the base to optimization goals at the apex.The system encapsulates various dimensions of rural tourism development,including governance,infrastructure,community engagement,and market strategies.Third,the study identifies core drivers and ultimate goals within this framework.Grassroots organization mobilization and improvements in rural tourism infrastructure emerge as the most influential driving factors,forming the cornerstone of optimization efforts.These drivers facilitate stakeholder coordination,enhance resource allocation,and build the necessary foundation for sustainable tourism development.Conversely,the ultimate goals of optimization are characterized by factors with high dependency,such as improving the quality of rural tourism products and increasing community residents'income.These goals reflect the desired outcomes of a well-functioning rural tourism system,where local communities directly benefit from tourism growth.Furthermore,the study highlights the dual role of enriching business operation models,which exhibit both high driving force and dependency.This factor serves as a critical pathway for achieving optimization,as it bridges the gap between structural enhancements and tangible outcomes.By diversifying business models and incorporating innovative practices,ethnic regions can strengthen their market competitiveness and ensure long-term sustainability.In conclusion,this study provides a comprehensive framework for understanding and addressing the complex dynamics of rural tourism development in ethnic regions.This research not only contributes to the theoretical understanding of rural tourism optimization but also offers practical insights for policymakers and practitioners aiming to enhance the quality and sustainability of rural tourism in ethnic areas.Future studies could further refine the framework by incorporating longitudinal data and examining its applicability across diverse ethnic contexts.This extended analysis highlights the intricate interplay of drivers and goals,providing a robust foundation for rural tourism development in ethnic regions.
rural revitalizationrural tourismindustrial development optimizationethnic areasinterpretative structural model
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