Tourism Industry In China Research Articles

Relevance of COVID-19 vaccine on the tourism industry: Evidence from China.

Vaccination is indeed one of the interventional strategies available to combat coronavirus disease (COVID-19). This study emphasizes the relevance of citizens' acceptance of the COVID-19 vaccine in assisting global recovery from the pandemic and aiding the tourism industries to return to normalcy. This study further presented the impact of COVID-19 on the tourism industry in China. Also, the study confirmed the past performance of tourism in China to the current tourism-related COVID-19 effects from a global perspective by employing Australia's outbound tourism data from 2008 to 2020 on top 6 destinations, including China, Indonesia, New Zealand, Thailand, the United Kingdom, and the United States. Jeffrey's Amazing Statistical Program (JASP) was used to analyze this study. The JASP statistical software was employed to accurately analyze the vaccines administered in China from December 15, 2020, to March 28, 2021. The study results demonstrate an overwhelming acceptance of vaccines in China which will positively and significantly impact the globe's travel and tourism industries. Also, the study findings indicated that industries in tourism are hopeful of regaining the past losses. Further, the study results showed an enormous decline in death and new cases. Vaccine acceptance is relevant for the eradication of the COVID-19 pandemic. Therefore, neighborhood and individual-level acceptance of the vaccine will help reduce the challenges facing the tourism industries and the world. The researchers recommend that authorities should strictly check the vaccination certificates of visitors. Furthermore, hoteliers should put adequate measures to monitor all visitors who visit the various tourist destinations.

Assessing the impact of green finance and urbanization on the tourism industry-an empirical study in China.

There is a dearth of empirical studies looking at the link between green economic development and tourism in quantifiable terms. Using panel data from China's 30 provinces from 2005 to 2018, this study investigates the impact of green finance on China's tourism industry. Using renewable energy, income per capita, carbon emissions, and urbanizations as explanatory factors is also utilized. According to estimation, the findings reveal that green finance substantially impacts the tourism business. This positive effect is more pronounced in provinces where economic and social conditions are better, thus boosting the region's tourism industry. The same holds for income per capita, renewable energy, and environmental factors. In addition, urbanization has a negligible effect on the variable being studied. A further way to boost the growth of tourism is through the use of green finance. The empirical findings can benefit China's green financial planning and environmental sustainability.

Comparative study on the competitiveness of Tourism industry between China and Ukraine

Based on the above overview of the development of tourism industry in China and Ukraine, we have a certain understanding of the status quo of import and export trade of tourism industry in China and Ukraine. In this part emphatically from the two countries China and Ukraine tourism industry international competitiveness the size of the specific index to analyze the difference between the two countries tourism industry international competitiveness, so that we can better analyze the gap between China and Ukraine tourism industry international competitiveness, in order to promote their respective tourism industry international competitiveness.

The Impact of Regional Economic Growth and Factor Input on the Convergence of Health Tourism Industry—Based on the Data of 31 Provinces in China

This study measures the convergence degree of the health tourism industry in 31 provinces and autonomous regions of China by input-output method and investigates the convergence driving force of the health tourism industry from five factors: economic growth, talent training, market perfection, technology input, and capital investment. The empirical study shows that the level of economic growth, talent training, market perfection, technology input, and capital investment all have a positive effect on the convergence of the health tourism industry in China. Moreover, K-cluster analysis is used to divide 31 provinces, municipalities, and autonomous regions into three types according to the measured convergence degree, and the five driving forces play different roles in different types of regions with different convergence degrees. For regions where the tourism industry and health industry are well integrated, the two industries can be integrated according to the demand by improving the market system. At the same time, talent training and technology input can also more effectively promote the convergence of the two industries. For regions where the tourism industry is well integrated with the health industry, strengthening capital investment and talent training can better promote the integration of the two industries. For regions where the health industry is well integrated with the tourism industry, by increasing capital investment, meeting market demand, and improving infrastructure investment, the industrial convergence can be promoted.

Changes in travel behaviors and intentions during the COVID-19 pandemic and recovery period: A case study of China.

The COVID-19 pandemic severely hit the tourism industry in China and worldwide. Chinese government adopted extensive nonpharmaceutical interventions (NPIs) to control it. COVID-19 has been well under control since April 2020 and China entered into a unique recovering period. The aim of this study is to examine how the COVID-19 pandemic changed residents' travel behaviors and intentions and investigate the theoretical factors associated with these changes during the pandemic and the recovery period. This study used a mixed-methods approach by combining quantitative surveys (N = 1,423) and qualitative interviews (N = 34). We extended the theory of planned behavior (TPB) to include other emerging factors in the context of the COVID-19 pandemic, such as risk perception, tourist trust, and charitable attitude. Our findings show that COVID-19 changed respondents' travel preferences in different ways, for example, tend to choose natural/outdoor/uncrowded attractions over cultural/indoor/crowded attractions. Second, respondents' domestic travel behaviors and intentions were positively associated with constructs in TPB, charitable attitude to contribute to the recovery of the tourism industry, tourists' trust in domestic COVID-19 control, and awareness of destinations' promotion strategies, while domestic travel intentions were negatively associated with risk perception. Third, concerns about the international COVID-19 control and travel restrictions were the two major factors affecting residents' intentions to travel abroad. Finally, we highlighted the management implications including implementing strict preventive measures while improving the effectiveness, increasing tourists’ trust, and adopting diverse marketing and promotion strategies.

Influence of COVID-19 on the Tourism Industry in China: An Artificial Neural Networks Approach.

Prior to COVID-19, the tourism industry was one of the important sectors of the world economy. This study intends to measure the perception of Chinese tourists concerning the spread of COVID-19 in China. The crowding perception, xenophobia, and ethnocentrism are the measurement indicators of the study. A five-point Likert scale is used to predict the perception of the tourists in various destinations. The Kaiser–Mayer–Olkin test and Cronbach's alpha are conducted to ensure the validity and reliability of the corresponding items. SPSS version 21 is used to obtain factor loading, mean values, and standard deviation. Regression analysis is used to measure the strength of the constructs' relationship and prove the hypotheses. Questionnaires have been filled from 730 Chinese respondents. Artificial neural networks and confusion matrices are used for validation and performance evaluation, respectively. Results show that crowding perception, xenophobia, and ethnocentrism caused the spread of COVID-19 during the epidemic. Hence, the tourism industry in China is adversely affected by COVID-19. The crisis management stakeholders of the country need to adopt policies to reduce the spread of COVID-19. The tourism sector needs to provide confidence to the tourists. It will provide ground for the mental strength of the tourists in China.

Green innovation efficiency of China's tourism industry from the perspective of shared inputs: Dynamic evolution and combination improvement paths

For the high-quality development of China's tourism industry, improving the tourism green innovation efficiency (GIE) to promote the green development of tourism from the perspective of technological innovation is essential. However, the level of development and specific promotion path of tourism GIE in China's provinces remains unknown, which this study attempts to determine. GIE has two stages: research and development (R&D) and achievement conversion. A two-stage relational data envelopment analysis model with shared inputs was used to evaluate the efficiencies of these two stages in tourism in 30 Chinese provinces during 2002–2017; and according to the relationship between these two efficiencies; tourism GIE was divided into four types: low/high green R&D and low/high achievement conversion. Furthermore, fuzzy set qualitative comparative analysis was used to design combination improvement paths of China's tourism GIE. The results show that: (1) western provinces outperformed eastern ones in green R&D and the opposite was true for green achievement conversion; (2) 30% of the provinces were in the low/low, 50% in the low/high, and 20% in the high/high stages; (3) combination improvement paths were either in the technology or non-technology path. The results of this study can provide a reasonable reference for the Chinese government to build a high-quality tourism development pathway from the perspective of green technology. Due to the lack of statistical data for China's tourism industry, this study was limited to using only the number of patent applications as an output indicator when measuring the tourism green R&D efficiency, thus the resulting selection of indicators was less comprehensive than expected.

Research on the Development of Sports Tourism Industry From the Perspective of Industrial Integration

The development of sports tourism in China is a new and healthy concept of cultural tourism development. It is the 
 inevitable result of the deep integration of sports and tourism industry under China’s socio-economic development. Because it has 
 a healthy development trend, it has been supported and advocated by local governments once it is put forward. However, due to the 
 short start time of sports and tourism industry in China’s economic development, there are still many problems to be solved. Based 
 on this, this paper analyzes some problems still existing in the development of sports tourism industry, and puts forward specific 
 strategies to promote the effective and healthy development of sports tourism leisure industry.

Optimization of tourism routes in Lushunkou District based on ArcGIS.

With the advancements and developments in China’s tourism industry, various autonomous forms of tourism have been gaining prominence. As such, to facilitate tourists and provide them with maximum experience while economizing on time and cost is essential. One approach toward achieving this is the optimization of tourism routes. However, so far the studies on this approach have focused primarily on inland tourist sites and have lacked a geographic perspective. Therefore, this study undertook the tourism resource data of Lushunkou District of 2020, used the ArcGIS accessibility evaluation model to analyze tourism resources, and finally used the Vehicle Routing Problem of network analysis technology to optimize the tourism route of Lushunkou District and obtain the general overall intellectual framework and technical methods for tourism route optimization. The results showed that the ArcGIS accessibility evaluation model could be used to integrate resources in the tourism area before using the Vehicle Routing Problem to optimize the analysis of tourism routes, thereby enabling the separation of different types of tourism. These divisions were based on the Vehicle Routing Problem to optimize routes for one-day and two-day tours. A new method and model for optimization for tourism routes was constructed to provide a basis and reference for the optimization of tourism routes in similar cities. The observations and results of the present study can facilitate the government in developing the tourism industry and maximizing the benefits obtained from them. Further, travel agencies and tourists will have the provision of designing optimum tourism routes.

Spatial and temporal evolution of total factor productivity of low-carbon tourism industry based on DEA–Malmquist Index model

Abstract The energy consumption and carbon dioxide emissions of tourism industry in China have become issues that cannot be ignored, putting pressure on the natural environment. This study uses Data Envelopment Analysis–Malmquist Index (MI) model to analyze the temporal and spatial evolution process of low-carbon tourism industry efficiency in Heilongjiang Province from 2010 to 2019. The results show that from 2010 to 2019, the technical efficiency (TE) of low-carbon tourism industry in 12 regions of Heilongjiang Province was significantly different and shows a growth trend. The pure technical efficiency (PTE) in Qiqihar, Jixi and Yichun had a more significant impact on the TE, and PTE had a greater impact on the development of low-carbon tourism economy in these regions. Hegang, Daqing, Shuangyashan, Kiamusze, Heihe and Suihua have a higher MI, and the TE has maintained a stable growth state overall.

Cycling in Tibet: An analysis of tourists’ spatiotemporal behavior and infrastructure

Cycling tourism has grown in popularity worldwide, motivating its inclusion in the development strategies of tourism organizations. This paper builds an analysis model based on spatial analysis and Empirical Mode Decomposition, providing a data-driven way to utilize GPS cycling trajectory data to analyze the spatiotemporal behavior of Chinese cycling tourists using a case study example of the Tibet Autonomous Region. The results show that: (1) The fluctuation of the number of cycling trajectories in Tibet presents multi-modal characteristics, corresponding to fluctuations in China's tourism industry and economy; (2) Cycling tourists in Tibet prefer to use national roads (arguably due to the safety of the road infrastructure and the availability of supporting tourism infrastructure); (3) Cycling tourism is highly concentrated in and around the popular attractions of Tibet. The presented data and methods help to understand the spatiotemporal behavior of cycling tourists, which is of great significance for tourism management.

Perception, Reaction, and Future Development of the Influence of COVID-19 on the Hospitality and Tourism Industry in China.

The present study examined the perception, reaction (i.e., possible measures), and future development from the perspectives of hotel and tourism practitioners and experts to investigate the influence of coronavirus disease 2019 (i.e., COVID-19) on the hospitality and tourism industry in China. After conducting 58 in-depth interviews among hotel and tourism practitioners and experts, feasible and practical measures were proposed to reduce such influence and predict the future development of China’s hospitality and tourism industry. Findings indicate that the influence of COVID-19 on the industry is perceived mainly through the pandemic’s economic and social effects. Possible measures that can be adopted for the recovery of China’s hospitality and tourism industry include the following aspects: government financial support, employee relationship management and electronic (e)-training, business marketing management, and industry co-operation network. A Perception-Reaction-Predication (PRP) crisis model is also proposed.

UNDER THE BELT AND ROAD BACKGROUND OF THE NEW PATH OF SPORTS TOURISM INDUSTRY DEVELOPMENT IN CHINA

At present, the world economy shows a trend of globalization, and the transformation of "Belt and Road" from an initiative to practical action is undoubtedly a substantive response to the unfair phenomenon of globalization. Taking advantage of the cultural origin of the ancient Silk Road, the concept of win-win sharing of "Belt and Road" closely connects China with many countries in Southeast Asia, Africa and Europe, and builds a big platform for the future development of China's economy. Under this pattern, China's sports industry can vigorously develop China's sports industry. In recent years, China's sports tourism industry has been fully developed, China has become a sports country, the development of sports tourism industry has also contributed a lot to the development of the national economy. "Belt and Road" refers to "Silk Road Economic Belt" and "21st Century Maritime Silk Road", which is an important strategy to coordinate internal and external affairs and promote economic opening and development in the new period of our country. Sports tourism economy is an important part of our national economy. Under the background of "Belt and Road" economic strategy, the development of sports tourism industry is also facing more opportunities. Therefore, taking the "Belt and Road" strategy as the background, this paper discusses the related problems of the development of sports tourism industry in China, and puts forward the countermeasures for the sustainable development of sports tourism industry in China.

Inclusive green growth and development of the high-quality tourism industry in China: The dependence on imports

Inclusive green growth and dependence on import trade are domestic and international issues that need to be considered in the process of high-quality development of China's tourism industry. Under the complex international environment, it is necessary to explore the regulating effect of import dependence on the impact of inclusive green growth on the high-quality development of the tourism industry. From the perspective of import dependence, this study uses the panel data of 30 Chinese provinces (excluding the Tibet Autonomous Region, Hong Kong, Macao, and Taiwan) from 2010 to 2019, and constructs the mechanism of inclusive green growth on the high-quality development of the tourism industry based on the theory of spatial production. The purpose of this study is to examine the moderating effect of import dependence on the mechanism of the inclusive green growth index on the high-quality development of the tourism industry. It is found that inclusive green growth can significantly promote the high quality of the tourism industry. The threshold test results show that import dependence has a significant negative threshold effect in the mechanism of inclusive green growth on the high-quality development of the tourism industry. When import dependence exceeds a single threshold (38.65), the contribution of inclusive green growth to the improvement of high-quality development level of the tourism industry first decreases and then increases. The results show that even if there are favourable conditions such as inclusive green growth, if there is dependence on imported goods, it will have a negative impact on the high-quality development of the tourism industry. This paper enriches the research on the evaluation of high-quality development level of the tourism industry and the interaction between international trade and tourism industry. Moreover, it provides a reference for developing countries such as China under the impact of COVID-19 and the anti-globalisation. DMU Decision making unit

Spatio-temporal evolution characteristics and influencing mechanism of green development efficiency of tourism industry in China

Spatio-temporal evolution characteristics and influencing mechanism of green development efficiency of tourism industry in China

Enterprise Operational Resilience with Digitalization Approach amid the COVID-19 Era: An Empirical Assessment.

The development of the COVID-19 pandemic has had a devastating impact on one Chinese city that has depended heavily on tourism, which is the core focus of the current study. This article uses phenomenological research methods in qualitative research to conduct semistructured and in-depth interviews with travel agency managers in China Highlights. Through the application of tourism resilience theory in the tourism crisis management domain, this article investigates the performance of China Highlights, a local tourism enterprise in Guilin, China, to restore the functioning and growth of the tourism industry in the postpandemic period. The results show that China's tourism industry is in the early stages of the fast growth stage of economic recovery, and tourism enterprises are faced with a significant challenge in determining how to make sound business choices during the pandemic and after the crisis has passed. It proposes that the tourism resilient theory can serve as a modern crisis management model to facilitate tourism enterprises to revive their performance in times of hardship.

Environmental impact of the tourism industry in China: analyses based on multiple environmental factors using novel Quantile Autoregressive Distributed Lag model

This study examines the impact of tourism on China’s environmental quality under the framework of the Environment Kuznets Curve. In this study, tourism is measured by the number of tourist arrival and environmental pollution is measured by three proxies: carbon emissions, atmospheric particulate matter, and greenhouse gases. The study additionally controls trade openness effects using annual data from 1995 to 2018. Based on the asymmetric behavior of environmental variables, the study applies the Quantile Autoregressive Distributed Lag model that helps to integrate both dynamic trends and non-linearity. The findings confirmed the validity of Environment Kuznets in the long run and unveiled that tourist arrivals reduce carbon emissions, atmospheric particulate matter, and greenhouse gases in the long run, but in short-run dynamics, tourist arrivals only reduce carbon emissions. Similarly, trade openness increases carbon emissions, atmospheric particulate matter, and greenhouse gases at initial quantiles in the long run. In contrast, in the case of the short run, trade openness reduces atmospheric particulate matter and greenhouse gases. These results imply that the emissions mitigating (contributing) effects of tourism and trade varied across lower and higher quantiles. In conclusion, the findings reveal that the government should take effective measures to implement appropriate strategies required to sustain tourism and trade in China.

Dilemmas and Countermeasures in the Use of Construction Land in the Rural Tourism Development

In recent years, the rural tourism industry in China developed prosperously, which effectively contributing to the implementation of the China Rural Revitalization Strategy. However, there are still many dilemmas in the development of rural tourism industry practices, such as excessive dispersal and poor operability of construction land use policies, lagging village planning, insufficient land use indicators, and housing site management policy restrictions. Accordingly, this paper analyzes the dilemmas in rural tourism development land use. Based on field investigation and literature analysis, the practices of land policy promoting the development of rural tourism industry are presented. The methods, case analysis, literature review, and empirical research are adopted in the research. The expected results that solving the dilemmas in land use are obtained through the combination of qualitative and quantitative analysis, including the integration and innovation of rural tourism land use policy, the rural tourism industry layout led by village planning, multiple strategies to protect tourism land index, and the speeding up of the rural collective construction land entry into the market. The above strategies could ensure the orderly development of new rural industries and new business forms such as rural tourism, and accelerate the implementation of China Rural Revitalization Strategy.

Study on the Non-linear Effect of Tourism Industry Agglomeration on Economic Growth in China——Based on Inter-provincial Panel Data

Objectives: There are few studies on the non-linear effect of tourism industry agglomeration on economic growth. Based on this, this paper uses the panel data of provinces in 2007-2017 to analyze the spatial characteristics of China's tourism industry agglomeration, and uses the threshold regression model to analyze the role of China's tourism industry agglomeration in promoting economic growth. The results show that: China's tourism industry shows obvious characteristics of spatial agglomeration. The provinces with high degree of industrial agglomeration are mainly Beijing, Shanghai, Yunnan, Guangdong, Guizhou, Sichuan and Shanxi; The non-linear effect of China's tourism industry agglomeration on economic growth is significant. When the level of economic development is less than the threshold value of 10.552, tourism industry agglomeration promotes economic growth. When the level of economic development is greater than the threshold value of 10.552, the impact of tourism industry agglomeration on economic growth is negative. Williamson hypothesis of China's tourism industry agglomeration is established.

Study on the Recovery Strategy of Tourism in Hubei Province in the Post Epidemic Era

The outbreak and spread of COVID-19 has had a negative impact on the development of China's tourism industry. Wuhan is an early outbreak of COVID-19 in the world and also a region deeply affected by the epidemic. How to repair the image of a tourist destination has become an important issue for the revival and development of domestic tourism at this stage. Based on the actual situation of Wuhan, this paper makes strategic measures to reveal the efforts made by domestic tourism marketing during the COVID-19 epidemic period to maintain the positive image of tourism, and provides reference for the selection and formulation of post-EPIDEMIC tourism destination image restoration strategies.