Chinese Tourism Industry Research Articles

What Lies Behind the Increasing Chinese Tourism Presence in the Northern Mariana Islands?

ABSTRACT The Chinese presence in the Commonwealth of the Northern Mariana Islands (CNMI) has increased dramatically in the past two decades. Fuelled by a combination of Beijing’s 2004 agreement on ‘Approved Destination Status’ and relaxed US border policy, Chinese arrivals boomed from the second half of the first decade of the new millennium. This article analyses CNMI’s economic engagement with China in the tourism industry. I argue that US federalization policies forced the CNMI to look for sources of revenue beyond the USA at the same time that China was expanding its outbound tourism. Yet, like the garment industry that preceded it, the Chinese tourism industry remains precarious and could easily fall victim to heightened geo-strategic rivalry in the 21st century.

Conceptualizing the Influence of Souvenir Image and Place Identity on Souvenir Repurchasing Intentions

The local traditions, including arts and crafts, are considered as the important things by which the tourism industry can be attracted by a particular country. The souvenirs are the best tool to tell friends or family about your concern towards them during traveling. Chinese ceramics are considered classic souvenirs to purchase while traveling because the ceramic products have been utilized by the residents for many years. Chinese people have a very significant and firm attachment to their native products they call them souvenirs. The purchase of souvenirs is an integral part of a country’s tourism sector. Therefore, this conceptual paper explores the role of souvenir image, and place identity in boosting the re-purchase intentions of Chinese tourism industry employees for souvenir products. The researcher has reviewed the existing literature to propose a framework to investigate the determinants of the re-purchase intentions for souvenir products. Thus, the study contributed to the existing body of literature on the determinants of re purchase intentions. The proposed research framework has made a significant addition to the literature.

Exploring digital economy influence towards tourism innovation: An empirical research based on Chinese tourism industry

AbstractThis study qualitatively and quantitatively analyzes the effect of the digital economy on tourism innovation in China. It discusses the concept of tourism innovation and constructs a variable to measure it. Then, it empirically tests the impact of digital economy on tourism innovation. Econometric results demonstrate that the digital economy has a consistent and significant impact on tourism innovation, highlighting its role in shaping tourism dynamics. It conducts further tests across different stages and addresses endogeneity concerns. Finally, it presents several policy suggestions.

무형문화유산(ICH) 문화정체성 인지와 ICH 진정성 인지가 중국 ICH 제품의 소비의도에 미치는 영향

Intangible Cultural Heritage (ICH) products are consumer goods or services that utilize ICH resources and are commercialized or industrialized, encompassing the value of use, emotional value, and symbolic value of ICH. ICH products have become increasingly important in the Chinese tourism industry and have become a key element of China’s tourism economy. The purpose of this study is to contribute to the study of deliberate consumption of ICH products by considering ICH cultural identity perception and ICH authenticity perception as extended variables of the Theory of Planned Behavior. A survey was conducted with 298 Chinese participants for this study. Data analysis was performed using SPSS 26 and AMOS 24 software to conduct descriptive statistics, factor analysis, and structural equation modeling. The analysis results indicated that ICH cultural identity perception influences attitudes toward ICH products, subjective norms, and perceived behavioral control. Therefore, ICH cultural identity perception can influence consumer intention indirectly but does not have a direct impact on consumer intention. On the other hand, ICH authenticity perception was found to have a positive impact on attitudes toward ICH products, subjective norms, perceived behavioral control, and consumer intention. Additionally, subjective norms and perceived behavioral control significantly influence consumer intention, while attitudes toward ICH products do not. However, emotional value was confirmed to play a moderating role. In conclusion, the study confirmed that ICH cultural identity perception and ICH authenticity perception of visitors to ICH tourist sites have a positive impact on consumer intention for ICH products. The findings of this study are expected to be helpful in formulating marketing strategies for ICH products.

Corporate social responsibility initiatives and their role in firms' reputation and green economic recovery through organizational trust.

Maintaining operations in the face of crises like COVID-19 is difficult. Using the stakeholder theory, this study examines the impact of corporate social responsibility (CSR) programs targeting company employees. Their social position and the likelihood of a green economic rebound (GER) are evaluated. Evidence shows that employee-focused CSR activities implemented by tourism boost organizational GER by fostering a more trusting work environment for their staff. Management and non-management staff at Chinese Tourism were polled using a non-probabilistic convenience sample and a 5-point Likert scale. Structured equation modeling was used to conduct structural analyses. Employee-focused CSR is a significant predictor of a firm reputation in the Chinese tourism industry. In addition, it is found that trust inside the organization acts as a go-between. The evidence also supports the hypothesis that a company's rising profile triggers GER. This research delves deeply into the connection between employees' perceptions of a company's employee-focused CSR initiatives, that company's reputation in the community, and employees' general enthusiasm for their job, a group that has been understudied until now. The findings are helpful for tourism management because they show them how to employ employee-focused CSR activities to strengthen connections with internal stakeholders while also using that reputation to shift to a greener way of doing business.

Adjustments to unemployment amid COVID-19: Implementation of ABCX model of family stress on Chinese tourism industry

Adjustments to unemployment amid COVID-19: Implementation of ABCX model of family stress on Chinese tourism industry

Greening tourism with environmental wellness: importance of environmental engagement, green tourist intentions, and tourist' environmental stimulus.

The appearance of COVID-19 has highlighted the critical nature of well-being and health in the modern world that affected the tourism industry at large. Thus, the research aims to estimate the nexus between green tourism inspiration and tourists' environmental wellness, environmental engagement, and green revisit intentions in China. The study obtained data from Chinese tourists and applied the fuzzy estimation technique. The study estimated the findings using fuzzy HFLTS, fuzzy AHP, and fuzzy MABAC techniques. The study results show green tourism inspiration, environmental engagement, and green revisit intentions, while fuzzy AHP revealed that tourism engagement has the highest fuzzy-weighted score in developing the revisit intentions of Chinese tourists. Moreover, the fuzzy MABAC score indicated that green tourism inspiration and environmental wellness matter most in reshaping tourists' revisit intentions. The study results are found to be robust in determining the relationship. Hence, research findings and recommendations for future study will help companies and society at large while elevating the Chinese tourism industry's reputation, impact, and worth in the eyes of the public.

Achieving green tourism through environmental perspectives of green digital technologies, green innovation, and green HR practices.

This study investigates tourism growth with the role of green digital technologies and green human resource management (GHRM) in China. We applied a fuzzy analysis technique using the 130 Chinese tourism SMEs that use digital technology. The study results declared that digitalization in tourism increases automation in both the process and the final product, raising demand and quality. Moreover, green digital technologies are significant in agile innovation and tourism growth. The study's results extended that green HRM practices have a significant role in Chinese SMEs developing agile innovation, tourism growth, and green digital innovation. These findings were confirmed by using fuzzy robustness tools. The study proposes to achieve SDGs in China's tourism industry using primitive measures to enhance tourism growth and agile innovation based on green HRM practices and green digital technologies. Such prudent measures suggested improving green digital technologies in the Chinese tourism industry for tourism growth and agile innovation maximization.

A Deep Transfer Learning Toponym Extraction and Geospatial Clustering Framework for Investigating Scenic Spots as Cognitive Regions

In recent years, the Chinese tourism industry has developed rapidly, leading to significant changes in the relationship between people and space patterns in scenic regions. To attract more tourists, the surrounding environment of a scenic region is usually well developed, attracting a large number of human activities, which creates a cognitive range for the scenic region. From the perspective of tourism, tourists’ perceptions of the region in which tourist attractions are located in a city usually differ from the objective region of the scenic spots. Among them, social media serves as an important medium for tourists to share information about scenic spots and for potential tourists to learn scenic spot information, and it interacts to influence people’s perceptions of the destination image. Extracting the names of tourist attractions from social media data and exploring their spatial distribution patterns is the basis for research on the cognitive region of tourist attractions. This study takes Hangzhou, a well-known tourist city in China, as a case study to explore the human cognitive region of its popular scenic spots. First, we propose a Chinese tourist attraction name extraction model based on RoBERTa-BiLSTM-CRF to extract the names of tourist attractions from social media data. Then, we use a multi-distance spatial clustering method called Ripley’s K to filter the extracted tourist attraction names. Finally, we combine road network data and polygons generated using the chi-shape algorithm to construct the vague cognitive regions of each scenic spot. The results show that the classification indicators of our proposed tourist attraction name extraction model are significantly better than those of previous toponym extraction models and algorithms (precision = 0.7371, recall = 0.6926, F1 = 0.7141), and the extracted vague cognitive regions of tourist attractions also generally conform to people’s habitual cognition.

Elements of Food Service Design for Low-Carbon Tourism-Based on Dine-In Tourist Behavior and Attitudes in China

One of the key issues in sustainable tourism research is the gap between tourists’ expressed friendly attitudes towards sustainable behaviors and their actual behaviors. Although many “low-carbon” themed restaurants have emerged during the low-carbon transformation of the Chinese tourism industry, low-carbon food services have not been significantly improved. This study takes food as the entry point to explore tourists’ behavior and attitudes towards low-carbon tourism in relation to food. We conducted two interviews. The first interview was a semi-structured contextual interview with 120 tourists who had experiences in food streets, aiming to identify the core user group: low-carbon attitude-friendly tourists with high-carbon food behaviors. The second interviews was an in-depth interview based on grounded theory with 29 core users, analyzing the four main reasons for their high-carbon food behaviors and their requirements for low-carbon food services in tourism. Based on this, we extracted four design elements for low-carbon tourism food services: low-carbon information show service, low-carbon service product attractiveness improvement, low-carbon food environment atmosphere creation, and service providers’ low-carbon behaviors. Through these four service elements, we constructed a low-carbon tourism food service design framework based on the core users’ needs, discussed the mechanism of service elements, and provided service design suggestions accordingly. The research results can be helpful for tourism providers, low-carbon tourism researchers, and designers.

International tourism and business productivity: does eco-friendly technologies matter?

This research is aimed at determining whether eco-friendly technologies go beyond and above in providing business productivity in international tourism. For this, the study obtained data from different databases, and this data range consisted of 2010-2020. The study applied the co-integration analysis, random and static technique, regression analysis technique, split analysis technique, and mediating effect tests on Chinese data. This research shows that tourism business innovation contributed 12%, value proposition as 9%, internal marketing as 16%, customer relationship management as 19.3%, tourists motivation as 34.05%, tourists time as 18.94%, green technological adoption as 17.3%, tourists visit intention as 8.11%, and green technical transfer as 28.1% in study model. Thus, the findings confirmed that international tourism and business productivity have a dynamic empirical nexus with the mediating role of eco-friendly technology adoption. Furthermore, such findings are robust empirically and validate the empirical connections among the study variables. These results imply that Chinese tourism industry stakeholders may use eco-friendly technologies to good effect, significantly enhancing tourism business productivity, international tourists' satisfaction, and tourists' revisit intentions. Hence, the study also directs practical implications related to the study topicality and China's tourism industry for prudent growth acquisition.

Optimal Business Diversification and Firm Performance: The Role of Geographic Diversification in Chinese Tourism Firms

ABSTRACT This study aims to examine the relationship between business segment diversification and firms’ performance as well as the moderating role of the geographic diversification in the context of Chinese tourism industry. The analysis is based on data from annual reports of Chinese tourism firms over 8 years. This study affirms an inverted U-shape relationship and suggests the optimal level of business segment diversification to Chinese tourism firm performance. The positive effect of business segment diversification on Chinese tourism firm performance was supported in the group of firms with geographic diversification and was not supported in the group of firms without geographic diversification. The application of optimal business segment diversification and implications for Chinese tourism industry are discussed as well.

Exploring tourism business model importance with the emergence of blockchain system: directions for tourism industry of China.

The study aims to explore the importance of the tourism business model with the emergence of the blockchain platform in China. The study focused on the importance of the tourism business model of china, studied the need to improve the tourism business infrastructure, and traced the value of the blockchain system in the tourism industry of china. For this, the researchers used a semi-structured interview approach to conduct a qualitative research design. About nine Chinese tourism and travel industry experts were interwar after initial screening using purposive sampling techniques. The respondents' responses were analyzed by applying a thematic analysis approach, and by this, the researchers extracted the main themes on study topicality to fill the gap in the literature. The study's novelty is in its topicality and context, for which it also provides viable, practical directions for stakeholders.

The Impact of the COVID-19 Epidemic on the Chinese Tourist Industry

The tourism business in China has been profoundly affected by the COVID-19 outbreak, resulting in extensive limitations on travel, the closure of popular tourist sites, and a substantial decrease in travel demand. The ramifications of these advancements have had a significant impact on the complete tourist value chain, encompassing travel companies, tour operators, hotels, restaurants, and various other service providers in China. The objective of this research is to present a comprehensive analysis of the ramifications of the COVID-19 pandemic on the Chinese tourism sector, encompassing its economic, social, and environmental aspects. The economic ramifications encompass a decrease in financial inflow, employment reductions, and a diminishment in foreign currency gains. Social impacts include a reduction in cultural exchange, a decline in the number of international visitors, and a reduction in the opportunities for education and personal growth. Environmental impacts include a reduction in greenhouse gas emissions and a decline in the pressure on fragile ecosystems. The paper also examines the challenges facing the Chinese tourism industry as it attempts to recover from the pandemic, including the need to rebuild consumer confidence, adapt to new health and safety measures, and develop new business models. The paper concludes that the Chinese tourism industry will need to work closely with governments, international organizations, and other stakeholders to develop a sustainable and resilient recovery plan that takes into account the economic, social, and environmental dimensions of the crisis.

Unleashing the Chinese tourism market after the Covid-19 epidemic employing a tourist-centric approach: An industry experts’ perspective

The tourism industry is a key driver of many economies, and emerging nations place a strong emphasis on it. Prior to the Covid-19 pandemic, Chinese tourists were on the rise in Asia and global tourism. However, the pandemic has severely impacted the tourism industry, and its recovery will be dependent on when China lifts its travel restrictions. This research aims to explore strategies to attract Chinese visitors once travel restrictions are lifted. To gather data, our study employed an exploratory approach and collected information from Chinese tourism industry experts who design tours for Chinese tourists visiting other Asian countries, specifically Sri Lanka, Maldives, and Thailand, using snowball sampling. Our findings highlight the importance of language, technology, and information availability in capturing the interest of Chinese tourists. Additionally, current industrial decisions necessitate a deep understanding of Chinese legislation and regulatory data. Reliable transportation infrastructure is also crucial for countries seeking to attract Chinese visitors. Notably, the findings of our study emphasize the need for collaboration between the government of the focus countries and China to support the tourism industry. By leveraging language, technology, information availability, and reliable transportation, emerging nations can unleash the potential of the Chinese tourism market once travel restrictions are lifted. This research provides valuable insights for industry practitioners, policymakers, and stakeholders seeking to tap into the Chinese tourism market in the post-pandemic era.

A Study on the Evaluation of Green Innovation Efficiency and Influencing Factors of the Chinese Tourism Industry

It is necessary to promote harmony between the economic growth of tourism and the resource environment to achieve the green and sustainable development of China’s tourism industry. The research objects were taken in 30 provinces and cities in China. The green innovation efficiency of tourism is measured and evaluated based on the super-efficient SBM model and Moran index. The spatial and temporal heterogeneity of the influencing factors of green innovation efficiency is analyzed using the GWR model. The study shows that: (1) The level of green innovation efficiency of the tourism industry as a whole keeps improving during the study period, but the development is uneven among eastern, central, and western provinces. (2) The spatial correlation of the green innovation efficiency of the tourism industry in 30 provinces and cities keeps getting closer and closer, and some regions show the characteristics of spatial aggregation. (3) The green innovation efficiency of the tourism industry is affected by various factors, such as the level of economic development and the level of professional development of the tourism industry. (4) Tourism green innovation efficiency is influenced by various factors, such as economic development level and tourism professional development level, and there are apparent intensity differences and spatial heterogeneity among various influencing factors. Finally, reasonable countermeasures are proposed to promote the overall improvement and balanced development of green innovation efficiency in China’s tourism industry.

Dynamic Technical Performance Measurement in Rural Tourism

With the characteristic of low carbon emission and sustainability, the development of rural tourism becomes one of the key parts to achieve mutual carbon target in Chinese tourism industry. However, previous research on China's rural tourism has largely ignored the quantitative examination of rural tourism initiatives. This paper aims to quantify and measure the efficiency as well as efficiency variation of rural tourism in 25 provinces of China using data envelopment analysis (DEA) and Malmquist productivity index (MPI). The results reveal that the overall efficiency of rural tourism in China is still low, and there exists an obvious regional difference in rural tourism in China. The result not only identify the leading and following regions in Chinese rural tourism, but also reveal how their position in the group changes over time. This is valuable information for managers having to take strategic and tactical decisions to better achieve the low-carbon and sustainable development of China's tourism industry.

The spatial heterogeneity of the impact of PM2.5 on domestic tourism flows in China.

As haze pollution intensifies, its impact on tourism is becoming increasingly obvious. However, limited studies have analyzed the impacts of haze pollution on tourism. To explore the contribution rate and impact of PM2.5 pollution on tourism flows, panel data on 341 prefecture-level cities in China from 2001 to 2015 were used. The results illustrated that the changes in PM2.5 pollution and domestic tourism flows showed a similar partial-most anti-phase main spatial pattern in space, as well as other spatial patterns of PM2.5. From a regional perspective, the contribution rate of PM2.5 to domestic tourism flows was less than that of traditional factors, such as GDP, GDP_500, and 45A, but larger than that of the Airport factor. The contribution rate of the interaction between PM2.5 and 45A on domestic tourism flows was the largest. From a local perspective, PM2.5 pollution had a negative impact on domestic tourism flows in northern China, while it had a positive impact in other regions. The classic environmental Kuznets curve (EKC) hypothesis showed applicability to the Chinese tourism industry, and the is of great significance for comprehensively understanding the impact of PM2.5 pollution on tourism flows and for promoting the sustainable development of domestic tourism.

Research on Quality Improvement and Upgrading for Tradition Chinese Medicine Tourism Industry in Shandong Province Based on RMP Analysis

In the post-pandemic era, Chinese tourism industry is faced with unprecedented and profound adjustments. Traditional Chinese Medicine (TCM) has not only played a vital role in treatment, and prevention and control of COVID-19, but also played a significant role in the development of TCM health tourism industry. Although Shandong has advantaged resources of traditional medicine materials, there are still problems and shortcomings in the development of TCM tourism industry. In this paper, based on RMP Analysis (Resource Analysis; Market Analysis; Product Analysis), the author analyzes the development status of TCM tourism products by questionnaire survey, and on this basis, puts forward questions and countermeasures to promote the upgrading and transformation of TCM health tourism in Shandong Province.

Information and Data Analysis Based on Big Data and Blockchain Technology in Promoting the Development of Cultural Tourism Industry

With the introduction of the reform and opening-up policy, the Chinese tourism industry has made considerable progress, but the current development is facing new development shortcomings and limitations. With the rapid development of technology and informatization, big data and blockchain technology provide new ideas and directions for the development of information and data analysis in the cultural and tourism industry. Under big data and blockchain technology, an in-depth research is conducted on the statistical system and GDP accounting data of the two industries of culture and tourism using coupling coordination model, model setting, and proxy re-encryption technology. It coordinates the statistical system of cultural and tourism industries, forming a unified cultural and tourism statistical report and value-added accounting report. It uses blockchain technology to calculate and analyze that the total output value of the tourism industry and cultural integration development in the past two years has increased by 1,4677.5 billion yuan, with a growth rate of 42.79%. Under the integrated development of culture and tourism in various regions, the overall income has shown an upward trend, with the highest growth rate of nearly 50%. The deep integration and development of cultural and tourism industry will become the top priority of Chinese cultural and tourism work in the future. With the addition of big data and blockchain technology, the great development of cultural and tourism integration has been realized.