Rural Tourism Industry Research Articles

Rural Tourist Attractions Recommendation Model Based on Multi-Feature Fusion Graph Neural Networks

With the rapid growth of the rural tourism industry, traditional tourism recommendation technologies can no longer meet the necessary requirements. To address the issue of rural tourist attraction recommendations, a rural tourist attraction recommendation model is constructed based on a multi-feature fusion graph neural network. First, construct a feature map based on the relationship between tourists’ preferences and tourist attractions, and incorporate the attention mechanism to enhance the model’s learning capabilities. Second, utilize a two-part graph model to extract positive and negative preference features of tourists, and a conversation graph model to extract tourists’ transfer preference features. Finally, various features are utilized to generate suggested content by computing scores for tourists’ travel preferences. To address the problem of recommending tourist groups, suitable features for random group matching are collected and the cosine function is employed to identify users with similar random group features. Finally, the multi-features are merged, and the tourists’ interest preferences are scored to arrive at content recommendations. In the experiment on individualized attraction recommendations, data from the Chengdu area were used to test the proposed model. The accuracy of the model’s recommendations was 0.822 for five recommendations which outperformed the other models. In the experiment for group-based attraction recommendations, this experiment tested the Chengdu dataset. The proposed model achieved the highest accuracy of 0.972 when the group size was 70, outperforming the other two models. Additionally, with regards to different numbers of recommendations, the proposed model’s accuracy was 0.5241, which was the best performance among the three models when the number of recommendations was set to five. The proposed recommendation model performs optimally in suggesting tourist attractions and meets the needs of rural tourism. The research content provides crucial technical references for tourist traveling and rural tourism development.

Research on the Development of Hainan Rural Tourism and Cultural Handicrafts Under the Background of Rural Revitalization

Under the background of rural revitalization strategy, Hainan has become a hot spot of rural tourism development by virtue of its unique natural scenery and rich ethnic cultural resources. This paper aims to explore the development path and strategy of rural tourism cultural handicrafts in Hainan, analyze the development status of rural tourism in Hainan, put forward specific development strategies and policy suggestions, in order to provide theoretical support and practical guidance for the upgrading and development of rural tourism industry in Hainan.

Marketing Research on Rural Agricultural Cultural Tourism Products under the Perspective of Symbolic Consumption

This study focuses on the marketing of rural agricultural cultural tourism products under the perspective of symbolic consumption, aiming to explore the application strategies and effects of symbolic consumption theory in the rural agricultural and cultural tourism industry. Firstly, the basic concepts of symbolic consumption theory and its value in marketing are outlined, and then the symbolic features of rural cultural tourism products and their influence on consumers' purchasing decisions are analysed. Through the field study, the practical effects of marketing strategies based on symbolic consumption theory in the marketing of rural cultural tourism products are discussed in depth. This study not only provides theoretical support for the sustainable development of rural cultural tourism industry, but also provides practical guidance for related practitioners.

Research on the Influencing Factors of Cultural and Tourism Service Quality in Huizhou Area

This study investigates the elements that influence the quality of cultural and tourism services in the Huizhou region, seeking to improve the region’s tourism competitiveness and revive the growth of the local rural tourism industry based on the background of cultural and tourism integration. This article builds an evaluation index system for the influencing variables of culture and tourism service quality by choosing 20 indicators from three categories: public service quality, cultural service quality, and tourism industry performance. The entropy weight Topsis method is employed to assess the service quality of three districts and five counties in the Huizhou area, which serves as the research object. Research has shown that (1) the number of five-star hotels, the number of A-level scenic spots, and the number of overseas tourists received have a significant weight, and these have become important factors affecting the effective supply of high-quality rural tourism; (2) there is a significant difference in the quality of cultural and tourism services in different areas across the Huizhou region, with Tunxi District and Yi County having the highest level of service quality, while Qimen County and Jixi County have the lowest level; (3) The overall quality of cultural and tourism services in Huizhou region is relatively high, with six districts and counties rated medium or above, accounting for about 75% of the total. Therefore, it is necessary to improve the infrastructure construction, improve the quality of public services, maintain the local and regional culture, accelerate the integration of culture and tourism, and enhance the high-quality development of regional tourism in Huizhou.

Decision-making Support Platform and Security Design for Rural Leisure Tour Industry based on SEA Method and SVR Model

An accurate short-term passenger flow forecast of rural tourism can avoid accidents as much as possible. However, the short-term passenger flow of rural leisure tourism shows nonlinear, seasonal, random, and other complex characteristics. Meanwhile, the traditional forecasting methods are often difficult to achieve accurate forecasting. Therefore, this study now used the nonlinear mapping function in the support vector regression to convert the passenger traffic training sample into a high-dimensional feature space and established a linear decision function. Then the influence of periodicity on the prediction effect through seasonal index adjustment was reduced. Finally, event triggering combined with core embedding technology for tamper-proof detection was adopted to improve the security of the platform. The results showed that the minimum absolute error of prediction with improved SVM model was 0.27% compared with traditional model and autoregressive integrated moving average model. After the introduction of the Internet search factor, the traffic prediction result was more accurate, which was 0.0425 smaller than that without the introduction of the Internet search factor. When the concurrency was less than 100 times/s, the average response time difference before and after adding the core embedded program was small, indicating that the security of page tampering technology was high. This research method can effectively predict the passenger flow of rural leisure tourism industry and ensure the safety of the platform.

Research on Rural Tourism Development in Ganzi Tibetan Area under the Perspective of "Agriculture, Culture and Tourism" Integration

With its unique resource endowment, rural tourism in the Ganzi Tibetan region has developed rapidly. From the early stage of "big development, small integration" to "big integration, small development", it ultimately presents a new situation of "each with its own characteristics, fully blooming". When developing rural tourism, especially in the process of combining agriculture, culture, and tourism, the Ganzi Tibetan region faces many difficulties such as resource independence, single function, technological barriers, and market competition. To this end, efforts can be made to strengthen the integration of resources, functions, technologies, and markets in rural tourism in the Ganzi Tibetan region through regional linkage and mutual assistance, innovative integration forms, coordinated planning of industries, and improved market access, in order to promote the deep integration of agriculture, culture, and tourism in the Ganzi Tibetan region and drive the leapfrog development of rural tourism industry.

Development of Rural Cultural Tourism Industry under the Digitalization of National Culture: A Case Study of the Yellow River Basin in Huyi District, Xi'an City

The report of the 20th National Congress of the Communist Party of China made important arrangements for accelerating the construction of digital China and implementing the national cultural digitalization strategy, clearly proposing to "accelerate the development of the digital economy and promote the deep integration of the digital economy and the real economy"[7] Rural tourism is the key to promoting the breakthrough and development of the private economy and the county economy, as well as the key to promoting the adjustment, transformation and upgrading of the industrial structure. In addition, the improvement of the governance of villages near the Yellow River Basin has carried out a lot of theoretical research on the rural revitalization of the Yellow River Basin from different perspectives such as industrial prosperity, cultural inheritance, ecological restoration, and rural governance, which has laid a good theoretical support for the research and implementation of this project. However, compared with the eastern region, there are still a series of problems in the development process of rural cultural tourism in the western region, and some problems have not yet been solved. The Sixth Plenary Session of the 19th CPC Central Committee proposed that the development of the rural economy should be promoted through the development of industry so that the peasants can live a better life. Therefore, under the requirements of the governance of the Yellow River Basin and the strategy of rural revitalization, it is of great significance to study and discuss the main problems existing in the integrated development of the cultural and tourism industry in the Hubei District of Xi'an City, and put forward targeted opinions and suggestions, which is of great significance to promote the high-quality development of the cultural and tourism industry.

When a villager is a rural homestay operator: role expectation research using the machine learning model?

ABSTRACT With the growing development of the Chinese rural tourism industry, villagers are gradually becoming involved in tourism, and the role of rural inhabitants has shifted. However, understanding tourists’ expectations of rural tourism operators remains challenging. This paper uses machine learning techniques such as LDA and SnowNLP to analyse online review data from 115 rural homestays in Hainan Province. Five topics of role expectations are identified, which can be grouped into quality expectations, image expectations, obligation expectations and attached expectations. Corresponding types of content are then mapped onto a convertible and dynamic model of residents’ role expectations, based on the concepts of ascribed status and achieved status, to discover the mechanism of role transformation of rural homestay operators. It is worth emphasising that residents’ roles are not singular in the particular spatial context of rural tourism operations. Image expectations within the achieved status can transfer from the ascribed status, while the gap between quality expectations and reality implies rural residents’ immaturity as operators. This study holds significant implications for the management and practice of rural tourism.

Risk spillovers of carbon emissions in international trade: the role of disembodied technology communications

Carbon emission reduction is an important means of achieving climate policy goals. However, the literature has neglected consideration of the carbon emission reduction mechanism from the perspective of technology risk spillovers in international trade. To explore this mechanism, this paper expands the classical linear model of foreign trade technology risk spillovers into a nonlinear spatial Durbin model. We construct a novel technology risk spillover index to forecast the magnitude of carbon emissions in agricultural trade across different regions. To validate our model, we consider the dual connotation of the spatial diffusion of disembodied technology communication (DTC) to map the relationships between different geographic and economic regions that are adjacent. The results suggest that disembodied technology risk spillover could promote carbon emission reductions. Specifically, technology risk spillovers from agricultural trade reduce agricultural carbon emissions by 0.79–1.16% in the local region. Disembodied technology risk spillovers also reduce agricultural carbon emissions by 2.85–11.57% in geographically adjacent regions and 4.9% in economically adjacent regions. Based on these conclusions, this paper proposes improving the closed and backward situation of rural areas in China’s central and western regions, promoting the transition toward the high end of the global agricultural industry chain and developing productive agricultural services and the rural cultural tourism industry to expand rural employment channels and stabilize farmers’ income.

Design of rural tourism management cloud platform based on intelligent audio processing and sensor navigation positioning

People's living standards are constantly improving, and many people are eager to travel, especially to rural areas, which has become a tourism trend, which has also driven the local economy. Each place is actively utilizing the advantages of its own region to establish a unique tourism economic industry chain and seek the interests of local villagers. Based on this, this article takes the specific development of contemporary rural tourism industry as the basic research object, and develops a specialized rural tourism management cloud service system platform. The system mainly relies on intelligent audio processing and related navigation and positioning functions. By finely processing the collected intelligent audio signals, utilizing specialized data conversion tools to improve the accuracy of the collected signals, and using a linear aliasing model to handle subsequent problems. We also propose a carrier based system coordinate for navigation and positioning algorithms, which can estimate the optimal information value among them. In addition, this article also conducted a specific analysis of the performance of two models, namely the single step model and the Seq2Seq model. The tourism management cloud service system platform for rural areas based on intelligent audio related processing and precise navigation positioning proposed in this article can effectively promote the development of local rural tourism and improve the quality of life of villagers.

Analysis on the Influence of Rural Tourism on Farmers' Income in Western Hunan

Background and Aim: In 2017, the 19th National Congress of the Communist Party of China first proposed the Rural Revitalization Strategy, and two months later, the Rural Work Conference clarified the three goals of implementing this strategy, pointing out that comprehensive rural revitalization should be achieved by 2050. The vitality of rural areas is linked to the vitality of the nation; the strength of the rural areas is tied to the strength of the nation. Implementing the Rural Revitalization Strategy is a significant measure to promote national prosperity and people's happiness, achieve common prosperity, and construct a modern economic system. It points the way to solving the "issues relating to agriculture; rural areas and farmers" and serves as the primary focus in the new era. With China's victory in the fight against poverty in 2021, the focus on the "issues relating to agriculture; rural areas, and farmers" has shifted from poverty alleviation to comprehensive rural revitalization. The purpose of this study is to assess the relevant factors that affect rural tourism and try to improve the income of farmers in western Hunan. Materials and Methods: Based on the panel data of Western Hunan from 2010 to 2020, this paper conducts an empirical study on the influence mechanism of rural tourism development on farmers' income increase in western Hunan. This study uses primarily quantitative analysis methods. It is mainly divided into literature analysis and statistical analysis methods, arranged as follows: Firstly, relevant scholarly research findings and literature sources about the subject matter are retrieved from reputable academic databases such as CNKI (China National Knowledge Infrastructure), Wanfang, and Baidu Academic. The perspectives of domestic and international scholars are elucidated, the existing literature landscape is organized, and the research framework of this article is outlined. Subsequently, the theoretical foundations relevant to the study are identified, and conceptual definitions are formulated. Lastly, the fundamental principles of the theoretical foundations are distilled and enhanced, and a concise summary is provided, culminating in the construction of the theoretical model for this article. Finally, explores the relationship between the rural tourism industry and farmers' income, and takes infrastructure construction, urbanization level, and science and technology level as the variables of mediating effect. Through the statistical analysis software SPSS24 in quantitative research, the reliability and validity of variables were tested, and then statistics and correlation analysis were described, finally, regression analysis was carried out, and data charts were displayed. Results: The results of the model analysis show that the development of rural tourism in western Hunan plays a significant role in promoting the farmers' income. Rural tourism development can not only comprehensively promote the urbanization process, and effectively improve the rural scientific and technological level of Western Hunan, but also contribute to the construction of characteristic ecological civilization and human capital level of western Hunan, and then promote the increase of farmers' income. Conclusion: Therefore, to deepen the promotion effect of rural tourism development on farmers' income, we should first improve the level of rural science and technology and promote the non-agricultural transfer of the rural surplus labor force. Secondly, we should pay attention to the protection of the rural ecological environment and promote sustainable development. At the same time, human capital investment should be strengthened to enhance the quality of farmers themselves. Finally, the government still needs to increase financial support and improve infrastructure construction.

Rural tourism development path under the perspective of industrial integration—Case study of Tangwan township, Guixi City

<p>With the improvement of people’s economic income and the upgrading of tourism consumption demand, rural tourism is becoming more and more popular. Although the rural tourism industry is emerging all over the world, how to realize the high-quality development of the rural tourism industry is still a complex systemic issue. The integrated development of the industry is an important way to realize the high-quality development of the industry; therefore, this study tries to discuss the path of the integrated development of the rural tourism industry by analyzing the micro-case study. For the case study, the authors chose Tangwan Town, a rural tourism town in Guixi City, Jiangxi Province, China. We collected relevant qualitative and quantitative data through questionnaires, field research, and interviews, based on which we analyzed the SWOT and the obstacles to industrial development at the case site and gave suggestions on the path of integration development at two levels. Through the empirical study of the case study, we summarize the four priorities in the integrated development of the rural tourism industry, which are capital, operation, resources, and talents. This study further provides management implications for tourism management, visitor experience, and the further development of the rural tourism industry.<strong></strong></p>

How Are Rural Homestays Achieving Sustainable Development in the Post-COVID-19 Period: Value Co-Creation by Operators, Tourists, and Government

The mental fatigue of rural homestay operators is of great significance to their performance as well as the sustainability of the rural tourism industry. Mental fatigue is a state of mind caused by consistently demanding cognitive activities. The mental health of rural homestay operators has been severely hit during the COVID-19, and they are in urgent need of finding a path to recovery. Based on value co-creation theory, this paper explores how rural homestay operators’ mental fatigue affects their performance under the moderating effects of government support and tourists’ participation. We conducted a questionnaire survey in the 19 rural tourist destinations of Nanjing, China, and collected a total of 201 questionnaires from the homestay operators. The results reveal that the operators’ mental fatigue has a negative effect on the performance of rural homestays. What’s more, tourists’ participation could moderate the relationship between operators’ mental fatigue and their performance. Although the moderating effects of government support are not significant, they can influence operators’ performance directly and indirectly. Through the value co-creation of operators, tourists, and government with the aim of improving the performance value of the rural homestay co-creation process, the operators’ mental fatigue could be alleviated and their performance restored. These findings can help us explore the recovery mechanism of rural homestays and promote the sustainable development of rural tourism in the post-COVID-19 period.

The Coupling Effect of Traditional Culture and Rural Tourism Industry Development--The Case of Shandong Province Domain

Abstract While the rural tourism industry is developing and expanding rapidly, the structural adjustment and optimization of the traditional culture industry has also gradually attracted academic attention. This paper explores the deep integration of two industries based on the coupling mechanism of conventional culture and the development of rural tourism industries. Then, it constructs the index system of the development level of the traditional culture industry and rural tourism industry in Shandong, utilizes the entropy value method to calculate the weights of the indexes of the development level of the two industries, and adopts the linear weighting method to calculate the comprehensive evaluation value. Among them, “the development scale of the traditional culture industry (0.444)” and “the scale of the rural tourism industry (0.2918)” have the largest weight value. The comprehensive evaluation value of the development level of traditional culture and rural tourism industry of Shandong Province in 10 years rises respectively by Finally, by constructing the coupling degree model of conventional culture and rural tourism industry and the coupling coordination degree model, the stage-specific coupling evaluation of traditional culture and rural tourism industry is measured as 0.85<C≤1, which indicates that the development level of conventional culture and rural tourism industry of Shandong Province is in the stage of high coupling. The study provides a decision-making reference for promoting the high-quality development of traditional culture and rural tourism industries, which has important theoretical and practical significance.

Research on the Integration and Development of Cultural Creative Industry and Rural Tourism Industry in the Information Age

Abstract This paper constructs the innovative development model of cultural and tourism integration based on the digital development process of cultural and creative industries and the rural tourism industry under the background of informationization. Then, it analyzes the comprehensive development level, coupled and coordinated development characteristics, and regional differences of cultural and creative industries and rural tourism industries in the whole country and 7 regions by using the coupled and coordinated degree model. Finally, the effectiveness of the digital development model of cultural and tourism integration is analyzed through the multiple linear regression model, and the moderating effect of the digital development model of cultural and tourism integration on the regional service capacity, infrastructure, and economic development is explored in depth. The results show that for every 1 percentage point increase in the level of digitalized development of cultural and tourism integration, the employment in the regional tertiary industry increases by 1.5%, the level of infrastructure development increases by 1.6%, and the level of local economic development grows by 1.2%. This study enriches and improves the content framework of the research on the high-quality development of rural tourism and provides new analytical ideas for the research on the high-quality development of rural tourism and cultural and creative industries.

Regression utility analysis of rural red cultural tourism industry chain for rural revitalization

Abstract A large number of red cultural sites preserved in the Chinese countryside, as well as the red spirit are combined with cultural tourism, and the red cultural tourism industry comes into being. This paper takes the service personnel of the rural red cultural tourism industry in County M as the research object, designs the relevant questionnaire, conducts the reliability test, and then obtains the relevant data of rural revitalization and rural red cultural tourism industry chain through the questionnaire survey method. Then, using the industrial environment and policies of the rural red cultural tourism industry chain as the independent variables and rural revitalization as the dependent variable, a round-off multiple regression analysis was carried out to explore the interrelationship between the two. The results show that rural revitalization = 1.374+0.086*tourism projects + 0.147*infrastructure + 0.169*tourism market + 0.177*tourist distribution = 1.074+0.246*history and culture + 0.259*red culture + 0.214*government policies + 0.268*funding inputs. This paper assists Chinese villages in improving the red cultural tourism industry chain and promoting rural revitalization by developing the red cultural tourism industry chain.

Analysis of the impact of rural tourism culture on the improvement of the level of public services

Abstract This paper first evaluates and analyzes the level of public service development from the dimensions of public information service, public transportation service, and infrastructure service using the entropy value method. Then, it studies the correlation between rural tourism culture and public service level from a qualitative perspective and then uses the threshold regression model and dynamic panel model to test the impact of rural tourism and culture industry and rural tourism and culture resources on the high-quality development of public services. After testing, the regression coefficient value of rural tourism and culture industry on the high-quality development of public services is 0.786, and the impact of rural tourism and culture resources on the improvement of public service level is significant at the level of 10%. The specific impact of rural tourism and culture on the efficiency of public services is fully explored in this study, which provides a theoretical basis for optimizing the efficiency of public services.

乡村旅游产业链层次管理研究——基于共生理论嵌入视角

乡村旅游产业链层次管理研究——基于共生理论嵌入视角

乡村振兴背景下广西乡村旅游产业转型升级影响因素及特征分析

乡村振兴背景下广西乡村旅游产业转型升级影响因素及特征分析

Tourist perceptions of tourism destinations choice and loyalty: A perspective on developing sustainable rural tourism in Bangladesh

Tourist perception refers to the emotional and psychological evaluations that tourists form as a result of their encounters with the destination, including its attractions, people, culture, and services. It can significantly influence tourism destination choice and loyalty, which means returning to the same destination or recommending it to others. The primary objective of this research endeavor is to investigate the perspectives held by tourists regarding their selection of destinations and their loyalty towards these destinations. The study specifically concentrates on the advancement of sustainable rural tourism within the context of Bangladesh. The study was based on quantitative methods, the study's premise, and many statistical measurements, such as descriptive statistics, validity, reliability, regression analysis, and the study's hypothesis. The results of the study indicate that the main determinants of tourist site selection and revisiting the tourist spots are based on the dynamic service qualities and availability of basic facilities at the tourist spots, as well as the higher propensity to reenter rural tourist places and localities. The implications for stakeholders encompass the necessity of allocating resources to develop quality services, enhance the basic facilities in tourist spots, and develop comprehensive marketing strategies aimed at promoting rural areas as attractive tourist destinations. This research makes a valuable contribution to the creation of effective strategies for sustainable development in the rural tourism industry of Bangladesh by examining tourist attitudes.