The effort to integrate sustainable energy and promote green tourism within China's Eco-Industrial Parks (EIPs) is a crucial move toward balancing industrial development with ecological sustainability. As the world's largest producer and consumer of energy, China's industrial sector significantly impacts global environmental health. Integrating sustainable energy within EIPs not only aims to reduce the carbon footprint and mitigate climate change but also enhances opportunities for sustainable tourism practices. This research uses a thorough methodology that combines the Delphi method and the Fuzzy Analytical Hierarchy Process (AHP) method to systematically evaluate and rank the challenges associated with sustainable energy integration and green tourism for EIPs in China. Through an iterative Delphi approach, five main challenges and 20 related sub-challenges have been identified. The Fuzzy AHP approach was utilized to analyze and assign weights to these challenges, providing insight into their relative importance to the adoption of sustainable energy into EIPs to promote green tourism practices. The most important aspect is economic viability (C1), according to the results of fuzzy AHP. The next major hurdles are recognized as the regulatory frameworks (C4) and socio-cultural acceptance (C2). Examining the underlying sub-challenges, the task of calculating return on investment metrics (C12) came up as the most weighted. Significant sub-challenges were also identified, including regulatory incentives for clean energy deployment (C41) and overcoming societal resistance (C21). This insight guides researchers, industry stakeholders, and policymakers in creating targeted interventions to promote the integration of sustainable energy and green tourism within China's EIPs.

Effectively promoting green tourism in China demands a comprehensive understanding of the key factors influencing consumer behavior, as well as the marketing strategies that support sustainable development. This involves not only addressing the environmental and economic aspects of tourism but also acknowledging the cultural and social dimensions that shape consumer preferences and motivations. Additionally, the rapid advancement of digital technologies presents new opportunities to enhance green tourism through innovative solutions. This study aims to identify and analyze these factors and business-oriented strategies, employing fuzzy analytical hierarchy process (FAHP) and fuzzy technique for order preference by similarity to ideal situation (FTOPSIS) methodologies to prioritize their importance. Results of FAHP revealed that environmental impact (EB1) is the most critical factor, emphasizing the necessity of robust environmental management practices. Marketing strategies (EB3) and government policies (EB4) were identified as the second and third most important factors, highlighting the significance of effective promotional efforts and regulatory frameworks in fostering green tourism. FTOPSIS analysis ranked stakeholder engagement programs and digital marketing for sustainable brands as the top strategies for optimizing green tourism, highlighting the importance of inclusive planning processes and the power of digital platforms in promoting eco-friendly travel. The study also identifies several policy implications, including the need for strengthening environmental regulations, incentivizing sustainable practices, enhancing consumer awareness, and fostering stakeholder collaboration for sustainable development.

As the global tourism industry confronts the existential imperatives of the Anthropocene, the remediation of degraded landscapes through regenerative economic models has emerged as a critical frontier in sustainability science. This research presents a rigorous empirical examination of the “restoration–revenue” paradigm, investigating the synergistic coupling mechanism between climate‐smart destination marketing, community‐based tourism, and ecological restoration. Focusing on the Bijie Ecological Demonstration Zone in Guizhou Province, Western China (27.2° N, 105.3° E), the study uses a high‐resolution longitudinal dataset spanning 2014 to 2023 to evaluate the region's transition from ecological fragility to socio‐economic resilience. Methodologically, the analysis employs a coupling coordination degree model to quantify the synchronization between the distinct subsystems of environmental quality and the tourism economy. The empirical results reveal a decisive structural transformation within the study area. In the baseline year of 2014, the region exhibited systemic dissonance, characterized by a vegetation cover rate of merely 28.5% and limited community participation at 12.0%, resulting in a coordination score of approximately 0.3. However, following the strategic alignment of policy in 2016, a robust positive feedback loop was established. By 2023, the system achieved high‐quality coordination with a score of roughly 0.8, as visitor arrivals reached 9.8 million and average household income surged to 23,400 CNY. Crucially, the study isolates a resilience mechanism during the COVID‐19 shock of 2020; despite a revenue contraction to 5.1 billion CNY, natural capital accumulation persisted, with vegetation cover expanding to 48.0%, effectively decoupling ecological health from temporary economic volatility. Furthermore, the analysis confirms a strong correlation () between the climate‐smart index and visitor influx, validating the efficacy of branding environmental stewardship as a core value proposition. These findings offer empirical validation for the “Two Mountains” theory, demonstrating that integrating ecological recovery with community agency creates a scalable, data‐driven pathway for revitalizing marginal regions while securing long‐term economic prosperity.