Search Results (428)

Small towns in mountainous regions face significant challenges in formulating effective landscape zoning strategies due to pronounced landscape fragmentation, which is driven by both the dominance of large-scale forest resources and the lack of coordination between administrative planning departments. To tackle this problem, this study focused on Yuqian, a quintessential small mountainous town in Hangzhou, Zhejiang Province. The town’s layout was divided into a grid network measuring 70 m × 70 m. A two-step cluster process was employed using ArcGIS and SPSS software to analyze five landscape variables: altitude, slope, land use, heritage density, and visual visibility. Further, eCognition software’s semi-automated segmentation technique, complemented by manual adjustments, helped delineate landscape character types and areas. The overlay analysis integrated these areas with administrative village units, identifying four landscape character types across 35 character areas, which were recategorized into four planning and management zones: urban comprehensive service areas, agricultural and cultural tourism development areas, industrial development growth areas, and mountain forest ecological conservation areas. This result optimizes the current zoning types. These zones closely match governmental sustainable development zoning requirements. Based on these findings, we propose integrated landscape management and conservation strategies, including the cautious expansion of urban areas, leveraging agricultural and cultural tourism, ensuring industrial activities do not impact the natural and village environment adversely, and prioritizing ecological conservation in sensitive areas. This approach integrates spatial and administrative dimensions to enhance landscape connectivity and resource sustainability, providing key guidance for small town development in mountainous regions with unique environmental and cultural contexts. Full article

The value realization of ecological products is an important part of rural and agricultural development. As a significant force for protecting traditional agricultural systems and promoting rural revitalization, agricultural heritage systems (AHSs) have formed diverse value realization paths of ecological products in the process of dynamic protection and adaptive management. Through theoretical research, this article analyzed the characteristics of ecological products in AHS sites (EPAHSSs) and summarized the framework of value realization paths of EPAHSSs. Then, the Wannian Rice Culture System in China was selected as a case for conducting empirical research. The results showed that EPAHSSs exhibit obvious uniqueness in terms of climate environment, germplasm resources, farming and breeding models, and cultural heritage. The value realization paths of EPAHSSs mainly include industrial development support, such as the extension of agricultural industrial chains and the development of tourism, as well as fiscal transfer payments. The case analysis results indicated that Wannian County contains a rich variety of ecological products and developed a value realization pathway mainly based on the integration of industries and supplemented by fiscal transfer payments during the process of protection and development. However, further optimization is needed to promote the development of tourism and other paths. This study not only contributes to the sustainable development of the Wannian Rice Culture System, but the proposed framework is also applicable to other heritage systems and similar regions. Full article

Based on a literature review, the present article aims to present ecotourism as a transformative factor in the economic, social, cultural, and environmental contexts, revealing key elements for the sustainable development of ecotourism. To ensure that this objective is met, the review combines the insights of classical authors and many recent authors who have best addressed the subject. The review carefully selected consensual and contradictory arguments, reflecting on the relevance of each group, particularly in aspects such as the influence of emotional experience on behaviour and satisfaction, strategy and competitive advantage, cooperation and sustainability, and the influence of resilience on ecotourism. The impact of each perspective was presented without ignoring the major constraints that ecotourism faces in its search for a position in the tourism industry. This led the study to accept the fact that the active participation of the community is indispensable in the formula for the success of ecotourism. Some statistical data were consulted and analysed, which enabled the study to determine the quantitative impact of ecotourism on economic, social, and environmental life. In terms of benefits to communities, the review clarifies the fact that ecotourism serves as an instrument that mobilizes not only the additional value of products and services traded in the process, but also the return on investments and job creation. The combination of visiting activities with the involvement of tour guides contributes to maximizing profits in the destinations, thus supporting solid economic, social, and environmental development for the benefit of both ecotourism promoters and local communities. However, the analysis makes it clear that the economic, social, and environmental benefit depends on the degree of involvement of the local population. In terms of usability, for other studies, this review can contribute to the understanding and positioning of ecotourism in the search for a balance between satisfying socioeconomic and environmental interests. Additionally, it can serve as an aid to policy makers in their decisions related to ecotourism. Full article

The adoption of artificial intelligence (AI) in marketing and social media is gaining scholarly interest. While AI technologies offer significant potential for enhancing customer engagement (CE), their effectiveness depends on an industry’s level of digital and AI readiness. This is especially relevant for people-centric sectors such as tourism and hospitality, where digital maturity remains relatively low. This study aims to understand how AI supports CE and social media marketing (SMM), and to identify the key antecedents and consequences of its use. Using the PRISMA approach, we conduct a systematic review of 55 peer-reviewed empirical studies on AI-based CE and SMM. Our analysis identifies the main contributing theories and AI technologies in the field, and uncovers four central themes: (1) AI in customer service and user experience design, (2) AI-based customer relationships with brands, (3) AI-driven development of customer trust, and (4) cultural differences and varying levels of AI readiness. We also develop a conceptual framework that outlines the determinants and outcomes of AI-based CE, including relevant moderators and mediators. The study concludes with directions for future research and provides theoretical and managerial implications, particularly for the tourism and hospitality industries. Full article

As the global urbanization process accelerates, rural settlements in China are facing the challenges of rural hollowing and widening urban–rural disparities. The establishment of the national scenic area system has made scenic settlements a primary direction for tourism development. However, industrial transformation has led to significant restructuring of the human–land relationship and the spatial functions of these settlements, resulting in issues such as over-tourism, ecological degradation, and cultural loss. This paper focuses on the Mosuo settlements around Lugu Lake, selecting nine villages, including Gesha Village, Wuzhiluo Village, and Daluoshui Village, to explore the formation and expression of Mosuo spatial concepts. Through spatial measurement, area statistics, and the analysis of development paths, the core of the research is to propose that “there is consistency between conceptual order and spatial form,” revealing the multi-dimensional evolutionary mechanism of Mosuo settlement spatial morphology under the intertwining of traditional concepts, market logic, and institutional policies, providing a replicable Chinese reference for global cultural heritage rural areas. Full article

The COVID-19 pandemic severely impacted Japan’s inbound tourism, but recent recovery trends highlight the growing importance of Chinese tourists. Understanding their motivations is crucial for revitalizing the industry. Building on our previous framework, this study applies Transformer-based natural language processing (NLP) models and principal component analysis (PCA) to analyze large-scale user-generated content (UGC) and identify key motivational factors influencing Chinese tourists’ visits to Hokkaido. Traditional survey-based approaches to tourism motivation research often suffer from response biases and small sample sizes. In contrast, we leverage a pre-trained Transformer model, RoBERTa, to score motivational factors like self-expansion, excitement, and cultural observation. PCA is subsequently used to extract the most significant factors across different destinations. Findings indicate that Chinese tourists are primarily drawn to Hokkaido’s natural scenery and cultural experiences, and the differences in these factors by season. While the model effectively aligns with manual scoring, it shows limitations in capturing more abstract motivations such as excitement and self-expansion. This research advances tourism analytics by applying AI-driven methodologies, offering practical insights for destination marketing and management. Future work can extend this approach to other regions and cross-cultural contexts, further enhancing AI’s role in understanding evolving traveler preferences. Full article

Tainan’s Cigu, located on Taiwan’s southwestern coast, is a prominent aquaculture hub known for its extensive ponds, tidal flats, and lagoons. This study explored the novel integration of kayaking within aquavoltaic (APV) aquaculture ponds, creating a unique hybrid tourism landscape that merges industrial land use (aquaculture and energy production) with nature-based recreation. We investigated the relationships among facility maintenance and safety professionalism (FM), the perceived value of kayaking training (PV), and green energy and sustainable development recognition (GS) within these APV systems in Cigu, Taiwan. While integrating recreation with renewable energy and aquaculture is an emerging approach to multifunctional land use, the mechanisms influencing visitors’ sustainability perceptions remain underexplored. Using data from 613 kayaking participants and structural equation modeling, we tested a theoretical framework encompassing direct, mediated, and moderated relationships. Our findings reveal that FM significantly influences both PV (β = 0.68, p < 0.001) and GS (β = 0.29, p < 0.001). Furthermore, PV strongly affects GS (β = 0.56, p < 0.001). Importantly, PV partially mediates the relationship between FM and GS, with the indirect effect (0.38) accounting for 57% of the total effect. We also identified significant moderating effects of APV coverage, guide expertise, and operational visibility. Complementary observational data obtained with underwater cameras confirm that non-motorized kayaking causes minimal ecological disturbance to cultured species, exhibiting significantly lower behavioral impacts than motorized alternatives. These findings advance the theoretical understanding of experiential learning in novel technological landscapes and provide evidence-based guidelines for optimizing recreational integration within production environments. Full article

The creative city concept has gained global recognition, notably through the UNESCO Creative Cities Network (UCCN). In Japan, facing declining birth rates and economic stagnation, this framework was seen as a revitalization tool to increase the urban quality. Yet, while the creative city concept clearly appears on the theoretical level, its operationalization usually remains unclear. Additionally, previous research considers sustainability questions through economic, social, and cultural lenses but more rarely through environmental aspects. Thus, this paper aims to explore the implementation of the creative city in Japan, unveil the specific elements composing the policies of UNESCO Creative Cities, and question how environmental sustainability is addressed in these policies. The research method includes a qualitative analysis of the membership monitoring reports (MMRs) submitted by cities to UNESCO. Conducting a field survey in a creative facility and a hearing survey with the city government, the research also focuses on Kanazawa as a case study to explore in greater depth the interaction between creative city strategies and environmental sustainability. Among the research findings, economic perspectives—through support for creative industries and the promotion of tourism—and systematic actions targeting children dominate the MMRs, while socio-environmental aspects receive less attention. Most ambitious initiatives toward environmental sustainability were implemented in rural cities. In Kanazawa, it appears the creative city policy is independent of the local environmental policies, although some opportunities exist to connect them. The field survey indeed reveals that some spontaneous initiatives toward environmental sustainability might emanate from a creative facility. Therefore, the paper provides significance in unveiling the specific content of creative city policies in Japan and in re-examining the notion of creativity to integrate environmental sustainability into the creative city agenda. Full article

Against the backdrop of sustainable development and from a macro perspective, this paper focuses on the cultural and tourism industry, measures its sustainable development efficiency, analyzes influencing factors, and systematically explores improvement paths. Based on the theoretical perspective of sustainable development, this study has constructed an evaluation index system for measuring the sustainable development level of the cultural and tourism industry across four dimensions, as follows: cultural and tourism economic construction, cultural and tourism basic resources, social basic support, and ecological environment quality. The range entropy value was adopted to measure the sustainable development level of the cultural and tourism industry in 31 provinces of China from 2006 to 2023. The results show that the sustainable development level of China’s cultural and tourism industry is generally low, but shows an increasing trend. In terms of the annual growth rate of regional scores, the trend is as follows: North China (7.05%) > Central South (6.00%) > East China (5.97%) > Southwest (5.03%) > Northwest (4.56%) > Northeast (2.94%). This indicates considerable room for improvement in the future. Furthermore, this study used kernel density estimation to analyze the distribution dynamics and evolution trends of the sustainable development level of the cultural and tourism industry and its scores at all levels, revealing differences in development levels among provinces and regions. Finally, this study has innovatively adopted the fsQCA method to explore improvement paths for the sustainable development level of the cultural and tourism industry, and identified three implementation paths: “openness–human resources–consumption–environment-driven”, “human resources–consumption–environment-driven”, and “openness–environment-driven”. By constructing a multi-condition combination model, this study breaks through the limitations of traditional single-factor analysis and reveals multiple concurrent causal relationships in complex situations. This approach showcases the differentiated development models of each province under the interacting effects of multi-dimensional factors, and provides policymakers with a basis for precise policy implementation “tailored to local conditions and multi-dimensional collaboration”. Full article

Although open innovation is not novel within the business sector, it has recently garnered increasing scholarly interest. However, empirical investigations applying this concept to the tourism industry remain scarce. Despite tourism being one of the most significant contributors to the global economy, it continues to face persistent challenges, including political standpoints. Within this context, implementing open innovation emerges as a potentially transformative strategy. This study examines the application of open innovation to the tourism industry. Drawing upon a detailed analysis of 35 peer-reviewed articles retrieved from the Scopus database, the study adopts the PRISMA methodology to ensure methodological rigor and transparency. Articles were retrieved using a predefined search string: “Open innovation” AND “tourism industry” OR “tourism” OR “hospitality” OR “hotels” OR “leisure”. The selection process followed the PRISMA guidelines and included only peer-reviewed journal articles in English within Business and Economics. The findings reveal that open innovation enables stakeholder collaboration, supports service and experience co-creation, and facilitates digital and organizational transformation across diverse tourism contexts. The analysis shows that recent contributions in this field tend to converge around four key thematic areas: the role of open innovation in enhancing destination branding and experiential value; the importance of stakeholder collaboration and co-creation; the internal dynamics of employee empowerment and innovation culture within tourism firms; and the strategic use of digital technologies to drive transformation and resilience in the face of industry challenges. Full article

With the rapid development of the tourism industry, scientific evaluation of tourism resources is crucial to realize sustainable development. Especially how to quantify resource advantages in international tourism cities has become an important basis for tourism planning and policy making. However, the limitations of traditional evaluation methods in the allocation of indicator weights and nonlinear data processing make it difficult to meet the development needs of international tourism cities. Therefore, this study takes Guilin, an international tourist city, as the research object and proposes a hybrid framework integrating fuzzy neural network (FNN) and analytic hierarchy process-fuzzy comprehensive evaluation (AHP-FCE). Based on 800 questionnaire data covering tourists, practitioners, and local residents, the study constructed a multilevel evaluation system (containing 12 specific indexes in the three dimensions of nature, service, and culture) using the Delphi method of expert interviews. It is found that AHP-FCE can effectively analyze the hierarchical relationship of evaluation indexes, but it is easily affected by the subjective judgment of experts. In contrast, FNN can effectively improve evaluation accuracy through the adaptive learning mechanism, and it especially shows significant advantages in dealing with tourists’ perception data. The empirical analysis shows that Guilin has obvious room for improvement in “environmental friendliness” and “cultural communication effectiveness”. The integration framework proposed in this study aims to enhance the scientific validity and accuracy of the assessment results, and provides reference and inspiration for the sustainable development of Guilin international tourism destination. Full article

In the context of rapid urbanization, traditional villages in the Weibei Loess Plateau gully region are facing compounded pressures from social structure disruption and physical space reconstruction. It is urgent to deeply analyze the influence mechanism of social relations on spatial adaptability. This study attempts to construct an analytical framework that couples social relationships with village spatial development. With Tangjia Village in the gully region of the Weibei Loess Plateau as an example, the study integrated various data sources such as satellite imagery, interviews, and policy documents. Through social network analysis and an improved cascade failure model, the spatial adaptation processes and characteristics based on changes in kinship, occupational ties, and geographical networks were explored. The findings indicate that (1) before 2001, kinship networks led to the formation of a monocentric settlement structure. From 2001 to 2011, occupational ties fostered the differentiation of industrial and residential zones. After 2011, geographical networks drove the multifunctional integration of space. (2) Clan-based settlement zones (consisting of 80 kinship nodes) and core cultural tourism facilities are key units in maintaining spatial adaptability. The research reveals the impact mechanism of social network fission on spatial function reorganization and proposes adaptive planning strategies, aiming to provide theoretical and practical value for the coordinated governance of society and space in traditional villages. Full article

As a globe leader in tourism, Spain relies on this sector as a key economic pillar, contributing over 12% to its GDP. The hospitality industry has expanded steadily in response to growing demand. In parallel, recent years have witnessed an exponential rise in tourist accommodations, such as privately owned properties repurposed for short-term rentals, largely facilitated by digital platforms. This study explores the evolution and spatial distribution of these accommodations, assessing their share within the overall housing stock across different scales. The focus is on Andalusian municipalities, a region characterized by both its geographical diversity and its significant tourism footprint. This study highlights two primary areas of concentration: the region’s Atlantic and Mediterranean coastlines (most notably the Costa del Sol, centered in Malaga) and internationally renowned heritage cities such as Seville, Granada, and Cordoba. By applying quantitative methods, this research assesses the clustering of tourist accommodations in relation to major cultural landmarks, including several UNESCO World Heritage Sites. The findings provide an analysis of the implications of this trend, shedding light on the challenges and opportunities it presents within the tourism sector, particularly against the backdrop of mounting criticism surrounding the sustainability and socio-economic impacts of this evolving model of tourism. Full article

Carbon markets play a pivotal role in achieving carbon peaking targets, with accurate price forecasting being essential for effective policymaking and corporate decision making. This study develops an integrated forecasting framework, combining an overall market model and a market-specific model, to predict carbon price trends in China from 2025 to 2026, while examining inter-market heterogeneity across eight regional markets. The overall market forecast reveals a fluctuating upward trend in the national carbon price over the next two years. Market-specific forecasts highlight significant disparities in price trends, as follows: the Shanghai and Guangzhou markets are projected to experience faster growth and the Beijing market to maintain stable prices, while the Tianjin and Chongqing markets exhibit more moderate increases. These disparities reflect the profound influence of regional economic levels, policy enforcement, and market maturity on carbon market development. By incorporating seasonal fluctuations and stochastic disturbances, we construct a forecasting model aligned with historical data dynamics and achieve differentiated forecasts through the analysis of historical price levels across markets, addressing the limitations of uniform target pricing in prior studies. These findings offer actionable insights for carbon market participants and policymakers, providing a robust foundation for designing differentiated carbon pricing policies to support China’s carbon peaking objectives. Full article

As a crucial component of cultural heritage, industrial heritage possesses considerable cultural, historical, and economic significance. The key challenge for industrial heritage sites is to foster eco-conscious actions among visitors while boosting tourism spending. Based on the S-O-R theory, we constructed a relationship model between authenticity, place attachment and environmental responsibility behavior through structural equation modeling and tested it with the survey data of tourists in Maoming open-pit mine ecological park. Findings reveal that both the object-related authenticity and the existential authenticity of the experience enhance the sense of reliance and belonging to the place, with the former also directly promoting visitors’ eco-conscious actions. In contrast, experiential authenticity does not exert a direct effect on eco-conscious actions. The sense of place reliance and identity are found to be significantly and positively linked to eco-conscious behavior. Furthermore, place reliance and identity act as intermediaries in the relationship between object authenticity, experiential authenticity, and eco-conscious behavior, serving as a sequential mediating factor. The study suggests strategies such as augmenting financial support to preserve the authenticity of the site, prioritizing the enhancement of infrastructure and the creation of cultural offerings to elicit emotional responses, and reinforcing emotional bonds to encourage eco-conscious actions. Full article