To deeply reach target markets and attract more tourists, a variety of media have been leveraged by tourism destination marketing organizations, particularly video games become a brand-new approach for destination marketing. With Assassin’s Creed: Unity as the research object, based on the Stimulus-Organism-Response (SOR) model, this article analyses and presents the influences of tourism destination factors in video games on the players’ perception of tourism destination image and their intention to visit. In this case, a conceptual model has been built with game factors as the independent variable, tourism destination image as the mediating variable and the players’ intention to visit as the dependent variable. Moreover, Multiple Regression is used in the analysis, proving significantly positive effects of game experience, character attachment, and tourism destination image on players' intention to visit. Consequently this study provides research support for the combination of tourism destination marketing and video games.

Satellite remote sensing provides the changes information of Earth surface on large spatial scale in a long time series and has been widely used in ecology. However, the possible impact from human activities generally occurs on a smaller spatial scale and could be detected in a longer time, which requires the remote sensing data having the both higher spatial and temporal resolution. Meanwhile, the development of the spatiotemporal data fusion algorithm provides an opportunity for the requirements. In this paper, based on deep learning, we proposed a residual convolutional neural network (Res-CNN) model to improve the fusion result considerably with brand-new network architecture to fuse the NDVI retrievals from Landsat 8 and MODIS images. Experiments conducted in two different areas demonstrate improvements by comparing them with existing algorithms. The model performance was evaluated by a linear regression between predictions and observations and quantified by determination coefficients (R²), regressive ecoefficiency (slope). The two excellent models, ESTARFM and FSDAF, were compared with the new model on their performance. The results showed that the predicted NDVI had the higher exploitational on the variability in the Landsat-based NDVI with the R² of 0.768 and 0.807 at the urban and grassland sites. The predicted NDVI was well consistent with the observations with the slope of 1.01 and 0.989, and the R-RMSE of 95.76% and 93.58% at the urban and grassland sites respectively. This study demonstrated that the Res-CNN model developed in this paper exhibits higher accuracy and stronger robustness than the traditional models. This research is full implications because it not only provides a model on the spatio-temporal data fusion, but also can provide the data of a long time series for the management and utilization of agriculture and grassland ecosystems on the regional scale.

Digital cultural tourism is an important part of the digital economy and digital China. The development of rural digital cultural tourism is an important engine for implementing the strategy of rural revitalization and leading the high-quality development of China’s rural tourism in the new era, which helps to promote the coupling and coordinated development of the high-quality development of rural tourism and common prosperity. This study examines the opportunities and challenges in using digital cultural tourism to promote rural revitalization, discusses the mechanism and model for enabling the common prosperity of the rural digital cultural tourism industry to achieve digital cultural tourism in the promotion of rural revitalization, and finally proposes a development path. The findings indicate that: (1) Digital cultural tourism has emerged as a significant force behind the growth of the rural tourism sector, and is a key route for achieving the objective of rural revitalization. (2) Digital cultural tourism and rural revitalization have mutually beneficial relationships; digital cultural tourism enables rural revitalization, and rural revitalization unlocks digital cultural tourism’s development potential, resulting in a positive interaction mechanism. (3) Four models of digital cultural tourism promoting rural revitalization are proposed, considering the rural classification scheme and related research. They are the digital cultural tourism for urban-rural integration and revitalization model, the digital cultural tourism for characteristic village revitalization model, the digital cultural tourism for agriculture, culture and tourism integration and revitalization model, and the digital cultural tourism for arts revitalization model. (4) To thoroughly promote the development of the rural digital cultural tourist sector, it should adhere to the product as the core, digital technology as the foundation, talent revitalization as the leader, and policy as the guarantee. The findings of this study enrich the research findings in digital cultural tourism and rural revitalization, which can serve as theoretical references and a practical foundation for the development of digital cultural tourism to empower rural revitalization.

The construction and operation of onshore wind farms interfere with the succession of local plant communities, and the impacts on the local ecology and climate are of great concern. The study of the relationships between onshore wind farms and local ecology and climate, as well as the accurate assessment of the impacts of onshore wind farms on local areas, are the foundation for promoting the sustainable development of green energy. In this study, we summarize the existing research methods used for field data monitoring, remote sensing data inversion and numerical model simulation, and found that onshore wind farms have obvious impacts on the local vegetation index, near-surface temperature, wind speed, soil moisture, and other parameters. Onshore wind farms reduce the local soil moisture content, increase the near-surface air temperature, and significantly alter local wind speeds. They also cause a reduction in the local vegetation index, inhibition of plant growth, and an increase in the mortality rates of birds and bats inside the wind farms. However, onshore wind farms have positive effects on the plant communities outside the wind farms, especially in the downwind direction. Overall, there is regional variability in the results and the findings are not generalizable. The mechanisms by which the onshore wind farms influence the local climate, the impact of climate on local ecology, and the direct effects of onshore wind farms on local ecology have not been clearly and accurately explained. Related research is still needed to further improve the precision, accuracy, and continuity of observational data. The construction of modeling systems also needs to incorporate indicators such as land use type, local microclimatic indicators, and plant species. Based on these considerations, this review provides support for macroscopically understanding the impacts of onshore wind farms on climate and ecology.

The high-quality development of culture and tourism is an important path for promoting the implementation of the rural revitalization strategy, urban-rural integration and development, and realizing common prosperity. This special issue focuses on the major issue of “rural revitalization and high-quality development of culture and tourism”, and contains 22 academic papers with in-depth discussions on five themes: “Rural revitalization and rural tourism high-quality development”, “rural tourism destination and homestay development”, “tourism environmental behavior and farmers’ participation in tourism”, “tourism resilience and tourism risk”, “cultural tourism and tourism high-quality development”. This collection of articles has three characteristics: Rich research areas and diverse research objects; diverse research methods that are inventive, logical, and scientific; and diverse theoretical viewpoints that span several disciplines. Considering the shortcomings of the current research, it puts forward future research directions such as strengthening localized theoretical research, expanding research areas and perspectives, and further deepening and enriching the research contents. In addition to supporting China’s efforts to promote high-quality culture and tourism, as well as comprehensive rural revitalization, this special issue can offer theoretical directions and actual experience in these areas.

The article uses a case study approach to investigate the mechanisms of ecological product value realization, and influencing factors. Specifically, we use a case analysis framework based on the “economy-society- natural ecology” perspective to analyze and compare the three batches of “Typical Cases of Ecological Product Value Realization” released by the Ministry of Natural Resources. We find: First, different modes of ecological product value realization exist. Different resource endowments, and institutional and environmental factors affect the selection of the value realization modes. Second, certain obstacles also exist for realizing ecological product value, which are mainly reflected in the fact that the articulation of the individual, society, and government is not yet sufficiently close. Third, to promote the development of regional eco-products’ mode and value conversion, the implementing party needs to guide the synergy between individual concepts, social participation, and governmental top-level design; rationally arrange the allocation of resource elements; mitigate elemental constraints; and propose effective technical means and optimization strategies according to the actual situation.

Wetlands are one of the most complex ecosystem types on the planet, and ecological sensitivity assessment is an important foundation for the scientific planning of wetland park systems. The Minjiang River estuary, located in the coastal city of Fuzhou, has outstanding regional characteristics in terms of its ecosystem and biodiversity. The nearby waters are among the richest in marine species in the world and the richest in offshore marine species at that latitude in the northern hemisphere. It has at least four indicators meeting the criteria for internationally important wetlands. In this study, the analytic hierarchy process (AHP) was used to determine the weights of factors, and the comprehensive ecological sensitivity of Minjiang Estuary National Wetland Park was evaluated using the weighted-overlap method by the Remote Sensing (RS) and Geographic Information System (GIS). An ecological sensitivity evaluation index system for wetland parks was constructed using Delphi, and then an ecological sensitivity assessment of Minjiang Estuary National Wetland Park was built. The sensitivities of different areas in the Minjiang Estuary National Wetland Park were divided five ecological sensitivity levels: extremely sensitive, highly sensitive, moderately sensitive, minimally sensitive, and insensitive. The results show that the riverbanks, beaches, canals, ponds, and surrounding areas were in the range of highly and moderately sensitive areas, while insensitive and minimally sensitive areas were distributed in the artificial landscape environments such as woodlands, farmland, and parks.

With the progressive aging of China’s population, the contradiction between the supply and demand of elderly care service facilities is increasingly prominent. This study takes Wuxi City as the research area, and evaluates the accessibility characteristics of the elderly service facilities in Wuxi City by using geographic statistics, buffer analysis, Gaussian two-step mobile search and other methods. It then analyzes the spatial distribution and supply and demand of the elderly service facilities in Wuxi City, and introduces the XGBoost algorithm to calculate the factors influencing the distributions of different types of elderly services. The results show that the distribution of home-based and institutional endowment resources in Wuxi is spatially heterogeneous, but there are problems of mismatch between supply and demand and uncoordinated regional development. The accessibility of endowment services varies greatly in different regions, and the number of hierarchical endowment institutions is relatively small. The distribution of community home care service stations is relatively more equitable, but still does not match the size of the elderly population. There are obvious differences in the factors affecting the distributions of nursing institutions and community home nursing service stations. The distribution of nursing institutions is affected by transportation infrastructure, the size of the elderly population, the number of medical resources, the environment, economic level and other factors; while community home care is mainly affected by the size of the elderly population. In order to better meet the elderly service needs of residents, Wuxi needs to increase its investment in elderly service facilities and take various measures to promote the development and improvement of its elderly service facilities.

This study aims to survey the literature and factual evidence on the nexus between deforestation and agriculture through an assessment of the potential impacts of climate change in the context of the world, India, and the Western Ghats. The Western Ghats region was chosen for this study because of its deep ecological significance. A few underlying themes were created and findings were documented under each theme that ranged from the causes of deforestation, the transformation of forest land for agriculture, the nexus between agriculture, deforestation and climate change, climate-driven agricultural vulnerability and the reconciliation of forest protection with agriculture. These findings suggest that shifting agriculture has been a dominant source of deforestation. The primary climatic impacts on agriculture are seen through crop yield falls. India’s arid and semiarid tropical regions have witnessed high climate-driven agricultural sensitivity. This could be on account of the fact that India’s tropical forests have witnessed high deforestation. The presence of higher tree densities in areas under Joint Forest Planning and Management in the Western Ghats create the potential for sparing remaining land areas for non-forest uses such as agriculture.

Night tourism prolongs the activity time of tourism and leisure blocks, while tourism and leisure blocks provide activity places for night tourism. This study introduces the Kano model into the field of satisfaction research, makes improvements according to its advantages and disadvantages, builds an evaluation index system for night tourism satisfaction in tourism and leisure blocks, and combines that system with a questionnaire to determine the priority for optimizing each factor using the main and vice qualities, dispersion degree, and sensitivity comparison analysis. Based on the results, several optimization suggestions are proposed. The results show that: (1) Night tourism in Qinghefang groups mainly involves young people; (2) The overall satisfaction level is relatively high; (3) One attractive factor, seven one-dimensional factors, ten indifference factors, and three reverse factors in four layers (facility, service, experience, and project) were identified; (4) The priority for improvement should be service layer > facility layer > experience layer > project layer; (5) Background music, cultural connotation, festival projects, etc. are favored by visitors; and (6) Transportation, service attitude, and the sense of participation urgently require optimization.

Based on a large national sample of the China Family Panel Studies (CFPS) database, the study will to provide some thoughts and suggestions for the transformation and upgrading of China’s agriculture, the enhancement of total factor productivity by exploring the agricultural production efficiency from the micro-farmers’ perspective. By constructing the models of Charnes, Cooper & Rhodes (CCR), Banker, Charnes & Cooper (BCC), Slacks-Based Model (SBM) and technology optimization Malmquist-Luenberger index, it finally obtained the comprehensive technical efficiency value, pure technical efficiency value, farm household efficiency value and green total factor productivity level value at the micro-farm household level based on the comparative analysis. It was found that: the comparison of the measures based on different models found that although there are differences in the calculated efficiency values, the pure technical efficiency values calculated by BCC are the main factors affecting the micro agricultural production efficiency values at the farmer level, the SBM model should optimize the CCR, BCC models, and more suitable for Chinese government policy formulation and optimization; the technology optimization Malmquist-Luenberger index method is the micro agricultural production efficiency measurement method of choice, with the characteristics of diverse model selection, rich application scenarios and convenient processing of negative outputs; environmental factors in the current evaluation of agricultural green total factor productivity, mainly play a negative inhibitory role, reducing the negative externalities of environmental variables output, become one of the key issues facing the current micro farm layer green total factor production enhancement; the combination of subjective and objective measures of environmental non-desired output is an important way to measure environmental factors of agricultural green total factor productivity, it can be used in practical applications based on a combination of research objectives and data availability.

Tourism is an essential pillar to promote economic development. Under the context of “dual carbon” goal, which means the Chinese government delivery that China will reach peak CO₂ emissions by 2030 and achieve carbon neutrality by 2060, the measurement of tourism carbon emissions facilitate preparation for carbon reduction work, and premise the development of sustainable tourism. In this study, based on existing studies, meta-analysis was used to extract relevant data of all studies on carbon emissions of domestic scenic spots before 2022, and visualized methods and SPSS correlation analysis were used to analyze the relationship between per capita carbon emissions of tourists of scenic spots and other variables of scenic spots. The results show that: (1) With the year 2010 as the node, the number of study areas and the per capita carbon emissions of tourists in the scenic spot show an increasing trend over time. Before 2010, the average per capita carbon emissions in the scenic spot was 23.47 kg person^-1, and after 2010, it increased to 55.29 kg person^-1; (2) Within different types of scenic spots, the per capita carbon emissions of tourists were ranked as follows: natural category > mixed category > humanistic category. The per capita carbon emission of natural scenic spots is the largest, which is 66.13 kg person^-1; (3) By analyzing the factors affecting per capita carbon emissions, it is found that there is a significant positive correlation between per capita carbon emissions of tourists and the area of the scenic spots, whereby the larger the area of the scenic spots, the larger the per capita carbon emissions; (4) An increase in the number of days of tourist routes leads to a rise in per capita carbon emissions, and in this part of the research, the influence of the source of tourists, the type of hotels and the mode of transportation on per capita carbon emissions was studied.

Promoting rural tourism development is an important way to achieve rural revitalisation and common prosperity. Tourists are facilitators and participants of rural tourism, whose participation in value co-creation is of great significance. However, previous research on tourists' value co-creation behaviors mostly explored the linear relationship between variables, with the complex mechanisms being insufficiently examined. Based on complexity theory, this study created a theoretical framework, where destination support (information support, emotional support), personal psychological driving forces (self-efficacy, outcome expectation) and destination emotion (place identity, destination trust) are treated as condition variables and the value co-creation behaviors of rural tourists as outcome variable, and empirical tests were carried out using a survey questionnaire with fuzzy-set qualitative comparative analysis (fsQCA) analysis being employed. It finds that none of the six conditional variables can constitute a sufficiently necessary condition for tourists’ value co-creation behavior; Six conditional variables together generate 64 path combinations, resulting in five paths that drive tourist participation in value co-creation behavior through three modes. These modes include perceived outcome value-driven, people-place emotional connection and people-place-environment integration driven. Among them, emotional support plays a significant role in influencing tourist value co-creation behavior. The study expands the research on value co-creation behavior, revealing the complex mechanisms of tourists value co-creation behaviors and provides a theoretical basis for promoting tourists’ engagement in value co-creation behavior that enhance the tourist experience and promote rural tourism high-quality development.

Revealing the mechanism by which land use influences ecosystem service function in karst urban watersheds is of great significance for social and economic development and ecological environmental protection. In this study, the Nanming River Basin, a typical karst basin in Guizhou Province, was used as an example. The spatiotemporal dynamic changes in land use in the basin during three periods from 2000 to 2020 were analyzed using ArcGIS, and the ecosystem service functions of the different land use types in the basin were evaluated using an integrated valuation of ecosystem services and tradeoffs (InVEST) model. This analysis led to three outcomes. (1) Forest, cultivated land, and grassland make up most of the land uses. The land use change was mostly dependent on the growth of construction land, which expanded by 13.07%. (2) The watershed's water conservation function was significantly boosted during the study period. In contrast, the carbon stock function became slightly impaired, and the physical quality of both was regionally distributed as high in the northeast and low in the southwest. (3) The contributions of forest to total water conservation and carbon stock of the watershed are always the greatest, exceeding 57%, and the conversions of forest to construction land and cultivated land to forest are the two primary types of land use change in which the ecosystem service function was impaired and strengthened, respectively. The results of this study can provide important data support and scientific reference for land use structure optimization, soil and water resource exploitation, and sustainable ecosystem management in ecologically fragile areas.

Bracket fungi (Polypores) are a morphologically distinct category of Agaricomycetes (Basidiomycota) that are important agents for decomposition and nutrient cycling in forest ecosystems. The species composition and ecology of these fungi in particular forest ecosystems are overlooked in Nepal. Thus, the current study is aimed at assessing the diversity and distribution of bracket fungi in oak-dominated forests in the middle mountains of central Nepal. Regular field visits over a six-year period (2017-2022) were done at nine study sites of oak-dominated forests in Karnabhumi Community Forest (KCF) and Gumalchoki Community Forest (GCF) from Makawanpur and Kathmandu districts respectively. A total of 26 species of bracket fungi belonging to 17 genera and 8 families were reported. The majority of the bracket fungi are known to be saprobic, while Coltricia cinnamomea is the only mushroom found to be mycorrhizal based on its ecology. Most of the bracket fungi were found to be inedible, while Ganoderma lucidum, Laetiporus sulphureus, and Pycnoporus cinnabarinus were found to be medicinal. The diversity indices, such as the Shannon Weiner index and the Simpson diversity index, were found to be 0.26 and 0.53 in GCF, respectively, and 0.17 and 0.35 in GCF. This suggest that Oak dominated forests harbor considerable diversity of bracket fungi such that conservation of these forests is necessary.

In the mass tourism era, the rising demand for personalized and high-quality experiences necessitates a distinct urban tourism image. This study examined tourists’ perceptions of Harbin during non-ice and snow seasons using network text analysis within the “cognitive-emotional-overall” framework and a ROST content mining tool. Our analysis of travelogues revealed that Harbin is seen as an exotic, culturally rich destination, yet tourists have limited awareness of its natural resources. While overall emotional responses from tourists were positive, facilities and services received some criticism. The views of tourists were primarily focused on popular urban sites, highlighting the need for diversification. This study contributes to the theoretical discussion on the formation of the city’s tourism image and suggests strategies that will allow Harbin to transition from a season-specific tourism model to a year-round tourism model, thereby enhancing its four-season destination brand in terms of infrastructure, industry innovation and market management.

The tourism industry, as a happiness-oriented industry, has great significance for enhancing the happiness of tourists. In the era of Happiness 2.0, tourists have shifted their focus from shallow needs for pleasure to deep needs for self-realization. Therefore, studying the relationship between tourism and happiness is indispensable. Based on the constructive-developmental theory, the mechanism of the impact of tourist involvement on the tourists’ authentic happiness was analyzed using the PERMA scale. The results show that: (1) Tourist involvement has a significant positive impact on tourist satisfaction and authentic happiness; (2) Tourist satisfaction has a significant positive impact on the tourists’ authentic happiness; (3) Tourist satisfaction plays a partial mediating role in the relationship between tourist involvement and authentic happiness. The research conclusions clarify the impact mechanism between tourist involvement, tourist satisfaction, and authentic happiness, which enriches our understanding of the impact of tourist activities on individual post-travel happiness. Furthermore, this study provides theoretical reference and practical suggestions for the self-development of tourists, as well as for guiding relevant enterprises and government departments to better enhance the tourists’ authentic happiness.

Land use structure is an important factor affecting carbon emissions. Taking the Urban Agglomeration in the Middle Reaches of the Yangtze River (MRYRUA) as an example, this study uses transfer matrix, the carbon emission coefficient method, spatial analyses and geo-detectors to analyze the carbon emission effects of land use changes, as well as their spatial evolutionary characteristics and driving factors, based on the data of 31 cities during 2010-2020. This analysis led to three outcomes. (1) The carbon sinks are insufficient to counterbalance the carbon sources, and net carbon emissions continued to grow from 144.88 million t in 2010 to 160.37 million t in 2020 due to the expansion of construction land. (2) The high-value areas of net carbon emissions shifted from dispersed to concentrated, while low-value areas shifted from concentrated to dispersed and decreased in number. The spatial agglomeration pattern is dominated by High-High agglomeration (H-H) and Low-Low agglomeration (L-L) areas. (3) The spatial differentiation of carbon emissions from land use (LUCEs) is primarily influenced by population density, carbon emission intensity, and technological innovation. Moreover, the interactive effects of land use, energy-efficient technologies, population status, industrial structure, and economic development significantly amplify their individual impacts.

Existing studies of tourists’ behaviors of tourism destination focus on place attachment. Although tourists’ attachment is related to tourists’ emotional experiences at the attractions of a tourism destination (ATDs), the role that tourists’ attachment styles play in establishing their emotional experiences and behavioral intentions toward different ATD types have not been verified. This study used the Xijiang Qianhu Miao Village as a typical tourism destination to examine these effects. Based on research on attachment styles, emotional experiences, and behavioral intentions, a conceptual model of the relationships among tourists’ attachment styles, emotional experiences of, and behavioral intentions toward ATDs was constructed. The impact of tourists’ attachment styles between their emotional experiences of and behavioral intentions toward ATDs was then studied empirically. The impact pathways of tourist attachment styles on different ATD types were tested. The results indicate that tourists’ emotional experiences of ATDs had no significant or direct impacts on their behavioral intentions in terms of relationship closeness and diversive exploration. Both their emotional experiences of and their behavioral intentions toward ATDs were affected by the mediating effects of attachment anxiety and avoidance, which were full and partial, respectively. Further, the paths of the mediating effects of tourists’ attachment styles on the emotional experiences of and behavioral intentions toward different types of ATDs varied significantly. Tourists’ emotion-behavior paths when experiencing a TD were clarified, providing a theoretical basis to satisfy their real needs for experiencing ATDs.

The green production of food currently faces the challenge of technological shortage. As agricultural technology services are an important source of technical knowledge for farmers, it is of great significance to explore how agricultural technology services influence the efficiency of green food production in order to improve its productivity. This study utilized data from the China Land and Economy Survey (CLES). Firstly, the three-stage DEA model was used to calculate the efficiency of green food production. Secondly, the generalized random forest model was used to empirically test the impact, heterogeneity, and pathways of agricultural technology services on the efficiency of green food production. This study found that: (1) Agricultural technology services have a significant positive impact on the efficiency of green food production. Among the stages, pre-production and mid-production agricultural technology services significantly improve the efficiency of green food production. However, post-production agricultural technology services do not show a significant impact. Additionally, the combination of agricultural technology services has a significant improvement effect on the efficiency of green food production. (2) The marginal effects of resource allocation by farmers have heterogeneity in terms of the impact on the efficiency of agricultural technology services in improving green food production. An increase in the proportion of the family agricultural labor force and the expansion of family-operated arable land scale significantly reduce the returns of agricultural technology services. (3) An analysis of mechanism variables showed that agricultural technology services mainly affect the efficiency of green food production through pesticide and fertilizer usage behavior, and significantly contribute to its improvement. The government should expand the scope of agricultural technology services and fully utilize their potential to improve the efficiency of green food production. Tailored strategies and policies should be implemented to guide the concept of green production during the provision of agricultural technology services, thereby promoting sustainable agricultural practices among farmers.

The integration of intangible cultural heritage (ICH) and tourism is a vital component of the holistic development of culture and tourism. This study examines the spatial distribution characteristics and tourism integration development models of Hulunbuir City through a spatial geography lens, employing nearest neighbor index and kernel density analysis. The results indicate the following: (1) Arts and crafts, as well as performing arts ICH resources, play a dominant role and are of a higher level, exhibiting a distinct agglomeration pattern centered around the main core area, sub-core area, and marginal area, which reflect the current distribution status. (2) Based on these findings, a spatial integration and optimization model is proposed, initially centered on the core area of ICH resources. Subsequently, a characteristic resource culture and tourism integration model is developed from three perspectives: resource-driven penetrative integration, product-driven restructured integration, and market-driven extension integration. (3) This study argues that the dynamic system driving the integrated development of ICH and tourism consists of three key subsystems: thrust, tension, and support. Their interactions constitute the dynamic mechanism underlying integrated development. Ultimately, this study provides a rational framework for the preservation and utilization of cultural heritage, thereby broadening the scope of cultural heritage studies.

Rural tourism plays a crucial role in driving the sustainable development of rural economies. With the rise of the digital economy, user-generated content (UGC) videos on platforms such as TikTok have become a significant factor influencing consumer decision-making, creating new opportunities for the growth of rural tourism. Using the TikTok app as the research platform, this study examines the relationship between UGC short videos, tourists’ intentions to engage in rural tourism, and their perception of destination image. Specifically, it explores the impact of UGC short videos on tourists’ willingness to participate in rural tourism and the mediating role of destination image perception. The findings indicate that UGC short videos positively influence tourists’ willingness to engage in rural tourism. Destination image perception mediates this relationship, shaping tourists’ decisions through cognitive and emotional image perceptions. Based on these findings, this paper recommends rural tourism destination managers enhance promotional strategies and improve destination image perception through UGC short video content.

Tourism-related plastic waste poses a significant threat to ecosystems worldwide, underscoring the need for effective tools for measuring its generation and informing decision-making and management. This paper introduces the concept of the tourist plastic footprint through a conceptual framework analysis and proposes a measurement methodology that uses a time-geography approach. Empirical data were collected from Fragrant Hills Park in Beijing and analyzed using statistical methods. The findings reveal that the plastic footprint of tourists at Fragrant Hills Park averages 10.04±0.32 items per capita per day. The waste consists of 27 distinct components, with the key contributors including plastic garbage bags (17.12%), plastic food packaging (12.48%), and tableware packaging (9.96%). Plastic garbage bags are predominantly discarded in hotel settings, while tableware packaging is primarily disposed of in restaurants outside the scenic area. Plastic food packaging is discarded in various locations, including the scenic area, transportation hubs, and hotels. This study enhances the tourism ecological footprint literature by providing deeper insights into the plastic consumption of tourists and offering a structured framework for quantifying plastic waste. For practical application, it offers valuable guidance for decision-makers in tourist destinations who aim to improve their plastic pollution control measures.

Dietary modification has been suggested as a viable path to mitigate climate change. This study explored the evolution of dietary structures in China’s megacities and quantified food-related carbon emissions using the carbon footprint method. Then, we developed a multi-objective optimization model to identify low-carbon dietary options that align with cultural preferences, economic feasibility, and nutritional requirements. We found that from 1992 to 2021, the total food consumption of residents in Beijing and Shanghai experienced a period of fluctuating decline and slow rise, respectively, with their dietary structures both shifting toward animal-based diets. Additionally, the significant increase in meat consumption led to increasing food carbon emissions in Beijing and Shanghai, with per capita emissions rising by 37.2% and 25.2%, respectively. According to the multi-objective optimization model, shifting towards reduced consumption of animal products, particularly meat, would align with culturally acceptable, economically feasible, and low carbon emission goals in Beijing and Shanghai, potentially leading to reductions of 92.14 t and 212.65 t in total food carbon emissions compared with the actual in 2021, respectively. This study enhances understanding of the changing dietary patterns in urban areas and their associated carbon emissions, and emphasizes the significance of optimizing diets as a key priority for advancing global sustainable development.

Improving energy efficiency is crucial for achieving the carbon peaking and carbon neutrality goals. The digital economy, which is characterized by big data, artificial intelligence, the internet of things, and a new generation of mobile Internet, has quietly penetrated all aspects of the economy and society, profoundly changing the means of production and lives of human beings. Digital technologies have great potential to improve the global energy system’s security, productivity, efficiency, and sustainability. Based on the panel data of 30 provinces in mainland China from 2006 to 2021, this study divided energy efficiency into total and single factor energy efficiency. The two-way fixed-effect model and the Driscol-Kraay method were used to adjust the standard error test in order to examine the impact of digital technology represented by industrial robots on energy efficiency and its path mechanism. Studies have shown that digital technology can significantly improve total factor energy efficiency and reduce energy intensity per unit of GDP. This conclusion was found to be still valid after the robustness test using feasible generalized least squares, time-varying difference in difference and fixed effect space Durbin model. The results of the mechanism test show that digital technology can improve energy efficiency by increasing the degree of industrial virtual agglomeration and the channels of foreign direct investment. This paper provides a valuable discussion on how information technology advances can improve energy efficiency in the era of the digital economy. The conclusions will help relevant market players to formulate policies and measures and corporate strategies to improve energy efficiency. At the same time, it also deepens the theoretical understanding and mechanism path of digital technology’s impact on energy consumption.

This study constructed the RMPP (Resource-Market-Product-Policy) theory from the perspective of rural revitalization, combined with the concept of intangible cultural heritage (ICH)+tourism to assist rural revitalization. Firstly, the study summarized the current situation of integrated development of ICH resources and tourism in 10 suburban districts of Beijing from four dimensions: Resources, market, product, and policy. Secondly, the study used the Delphi method and Analytic Hierarchy Process to construct an RMPP evaluation index system, determine the weights of the indicators, and score them. Through evaluation and analysis, the development differences of the 10 suburban districts in the four dimensions of RMPP were identified, and the difficulties in integrating development of ICH and tourism were sorted out, such as weak awareness of ICH inheritance, insufficient integration of ICH tourism resources, low level of the development of ICH tourism products, and unclear rights and responsibilities for ICH protection. Finally, the study explored the path of promoting rural revitalization through the integration of ICH and tourism from the four dimensions of RMPP, including scientific integration of ICH resources, innovative market models, product gradient development, and policy targeted implementation.

With the promotion of the rural revitalization strategy, cultural and creative industries of tourism have gradually become an important driving force for rural revitalization. Since the economic level of minority areas is low and the concept of industrial development lags behind, developing the cultural and creative industries of tourism has a positive role in cultural revitalization and economic structure transformation. In recent years, Ebian Yi Autonomous County (Ebian County) has relied on rich intangible cultural heritage resources and achieved fruitful results in the development of cultural and creative products of rural tourism, adding vitality to its rural tourism and rural revitalization. Starting from the economy and the development of cultural and creative industries empowered by intangible cultural heritage (ICH), this study analyzed the impact of related cultural and creative products of Ebian County on its economic development in the five-year period from 2018 to 2022 by means of qualitative and quantitative research methods. Three main conclusions could be drawn. (1) The impact of intangible cultural heritage cultural and creative industries of Ebian County on the economy has been positive and expanding gradually with time. (2) The number of inheritors and workshops, and the business income of workshops are the three major factors affecting the development of cultural and creative industries. (3) Ebian already has a good foundation of cultural and creative industries of intangible cultural heritage, so the investment of funds and training of talents have played a major role in promoting the development of cultural and creative industries of intangible cultural heritage.

Agricultural eco-efficiency is a vital indicator for assessing the sustainability of agriculture. Conducting evaluations of agricultural eco-efficiency can provide critical information for policymaking, resource allocation, and the advancement of agricultural sustainable development. While there exists a substantial body of research on the evaluation of agricultural eco-efficiency, its influencing factors, and improvement paths, there remains a paucity of systematic reviews, evaluations, and prospective analyses in this area. This study employed the literature search method to analyze relevant scholarly articles. Chinese literature was sourced from the CNKI (China National Knowledge Infrastructure) database, while international literature was obtained from the Web of Science database. The literature search was conducted from 1998 to 2023. The study reviewed the progress of research on agricultural eco-efficiency and outlined the challenges and prospects that lie ahead. The findings of this study indicate that the primary challenges in the field of agricultural eco-efficiency research include refining the evaluation system, integrating macro and micro influencing factors, and ensuring the suitability of models employed. In the future, the research could expand in areas such as deepening the application of artificial intelligence technology in evaluation methods, clarifying the driving factors of agricultural eco-efficiency, and promoting the green transformation of agriculture. This study provides a comprehensive systematic review and could provide critical information for related research expansion.

Urban agglomerations should meet the dual requirements of economic growth and green development, and there is currently an urgent need to improve the efficiency of green development. Therefore, we analyzed the impact of the Yangtze River Delta Urban Agglomeration (YRDUA) policy on the digital economy (DE) and green total factor productivity (GTFP) using the time-varying difference in difference model (DID). The marginal contribution of this study is an evaluation of the long-term effect of the YRDUA policy on green high-quality development. Based on the perspective of the “Porter Hypothesis”, this study examined the similarities and differences in the impacts of urban agglomeration on DE and GTFP. The results show that the policy promotes the urban DE index, but significantly inhibits urban GTFP. This means that the overall impact of urban agglomeration policy on green high-quality development in the Yangtze River Delta (YRD) is still in the “weak Porter Hypothesis” state, the technological innovation and efficiency improvement stimulated by urban agglomeration policies are not enough to significantly improve GTFP, and the “strong Porter Hypothesis” is not tenable. In addition, the heterogeneity analysis shows that the policy has a more obvious role in promoting the green high-quality development of central cities, large and medium-sized cities and innovative cities. The level of urban public service supply shows a threshold effect. When it develops to a certain scale, the urban agglomeration policy has significant positive impacts on both DE and GTFP.

Rural tourism plays a crucial role in promoting the process of urban-rural integration and regionally coordinated development. Drawing on theories of tourism system drive and system science, this study constructed a rural tourism system dynamics model with four subsystems: demand, supply, media, and support. Subsequently, we predicted the optimal mechanism for rural tourism development using scenario simulation methods. The findings were four-fold. (1) The rural tourism development dynamics system constructed in this study overcame the limitations of previous subsystem divisions. (2) Under the development scenarios of Natural development mechanism (NDM), Demand driven mechanism (DDM), Supply driven mechanism (SDMe), Media driven mechanism (MDM), Support driven mechanism (SDMu), and Synergistic driven mechanism (SDMy), the rural tourism development index values in 2035 were 0.678, 0.702, 0.755, 0.715, 0.776, and 0.836, respectively. Among these scenarios, SDMy emerged as the ideal mechanism for rural tourism development in Yangshuo County. (3) Based on the characteristics of the rural tourism development index, rural tourism in Yangshuo County has undergone three stages: fluctuating growth, rapid development, and recession. (4) Yangshuo County’s rural tourism supply index grows slowly and is always below 0.8, which is a key link for future structural optimization. This study proposes a direction for rural tourism development in Yangshuo and a later impetus, which can accelerate the process of urban-rural integration in Yangshuo and similar areas.