scholarly journals Evaluation of the Credibility of Tourism Industry Associations and Its Influencing Factors: Perspective of the G Hot Spring & SPA Association in China

2019 ◽  
Vol 09 (08) ◽  
pp. 1712-1722
Author(s):  
Bin Tu ◽  
Lingling Huang ◽  
Qianyi Tu
Keyword(s):  
Influencing Factors ◽  
Hot Spring ◽  
Tourism Industry ◽  
Industry Associations

scholarly journals Spatiotemporal Difference Characteristics and Influencing Factors of Tourism Urbanization in China’s Major Tourist Cities

2021 ◽  
Vol 18 (19) ◽  
pp. 10414
Author(s):  
Xia Xie ◽  
Lei Zhang ◽  
Hui Sun ◽  
Feifei Chen ◽  
Chunshan Zhou
Keyword(s):  
Spatial Autocorrelation ◽  
Influencing Factors ◽  
Industrial Development ◽  
Tourism Industry ◽  
Three Dimensions ◽  
Ecological Environment ◽  
Upward Trend ◽  
Correlation Pattern ◽  
Resource Endowment ◽  
Tourism Urbanization

Tourism is crucial for promoting industrial development and is an important driver of China’s new type of urbanization. A tourism urbanization index system was constructed in three dimensions: the tourism industry, urbanization, and the ecological environment. The spatial–temporal differentiation characteristics and influencing factors of tourism urbanization in 35 major tourist cities in China from 2009 to 2018 were analyzed using the state space method, standard deviation ellipse, and spatial autocorrelation analysis. The results show the following. (1) Over time, the tourism industry index displays an upward trend, the urbanization index exhibits a more obvious upward trend, and the ecological environment index fluctuates strongly. Under the influence of all three factors, the tourism urbanization index shows a fluctuating rising trend. (2) Regarding the spatial distribution pattern, the development center of tourism urbanization shifts to the southeast, and the distribution direction is northeast-southwest. There is a significant agglomeration in global spatial autocorrelation. The local spatial correlation pattern is dominated by correlation characteristics and supplemented by different characteristics. (3) In terms of influencing factors, policy and regional development strategy, tourism resource endowment, economic development level, and traffic conditions are listed in descending order of influencing degree. Finally, we put forward some suggestions.

scholarly journals Exploring the Determinants of Hot Spring Tourism Customer Satisfaction: Causal Relationships Analysis Using ISM

2019 ◽  
Vol 11 (9) ◽  
pp. 2613
Author(s):  
Chuanmin Mi ◽  
Yetian Chen ◽  
Chiung-Shu Cheng ◽  
Joselyne Lucky Uwanyirigira ◽  
Ching-Torng Lin
Keyword(s):  
Customer Satisfaction ◽  
Success Factors ◽  
Structural Model ◽  
Hot Spring ◽  
Food Service ◽  
Tourism Industry ◽  
Limited Resources ◽  
Key Factors ◽  
Interpretive Structural Modeling ◽  
Factors Affecting

To stand out in the hot spring tourism industry, customer satisfaction has become the crucial issue for competitiveness. A company cannot implement several customer satisfaction improvement practices altogether with limited resources. Researchers advocate that companies should evaluate the relationships among success factors and explore determinants for their improvement implementation. However, such a relationship evaluation has not yet been adequately performed. This paper intends to explore the determinants for improving hot spring customer satisfaction. Adopting grounded theory (GT) and using data collected from websites, Ctrip and Qunar, the first 12 key factors for customer satisfaction were identified. Then, their interrelationships were assessed by 15 experts, and interpretive structural modeling (ISM) was employed to analyze the interrelationships and the driving and dependence power among key factors. The results show that “Environment Quality”, “Special Resource”, “Convenience”, “Food”, Service Quality”, and “Facilities” were the decisive factors affecting customer satisfaction. The findings offer important implications for hot spring management and practice. The contribution of this study is using a novel approach to establish a hierarchical structural model for comprehensive understanding of factor relationships that influence hot spring tourists’ satisfaction and to explore decisive factors which can help hot spring practitioners to better plan and design effective improvement strategies to attract potential new consumers and retain their current consumers, especially with limited resources.

The Tourism Satellite Account: Perspectives of Canadian Tourism Associations and Organizations

1995 ◽  
Vol 1 (3) ◽  
pp. 225-244 ◽  
Author(s):  
Stephen L.J. Smith
Keyword(s):  
Tourism Industry ◽  
Data Sources ◽  
Direct Benefit ◽  
National Governments ◽  
First Time ◽  
Industry Associations

Tourism satellite accounts (TSAs) have the potential for providing data on national tourism industries that are, for the first time, credible consistent, and coherent with statistics available for traditional industries. However, the development of a TSA requires a commitment of time and money by national governments to develop and analyse the data sources on which a TSA is based. Such commitment is most likely to be made only if tourism industry associations and businesses perceive that a TSA will offer them information of direct benefit. This paper describes the implications and applications of a TSA for Canadian tourism organizations.

scholarly journals Coupling Coordination and Influencing Factors among Tourism Carbon Emission, Tourism Economic and Tourism Innovation

2021 ◽  
Vol 18 (4) ◽  
pp. 1601
Author(s):  
Yue Pan ◽  
Gangmin Weng ◽  
Conghui Li ◽  
Jianpu Li
Keyword(s):  
Economic Development ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Tourism Industry ◽  
Compound System ◽  
Regional Innovation ◽  
Emission Efficiency ◽  
The Core ◽  
Coordination Degree

To discuss the coupling coordination relationship among tourism carbon emissions, economic development and regional innovation it is not only necessary to realize the green development of tourism economy, but also great significance for the tourism industry to take a low-carbon path. Taking the 30 provinces of China for example, this paper calculated the tourism carbon emission efficiency based on the super-efficiency Slacks based measure and Data envelope analyse (SBM-DEA) model from 2007 to 2017, and on this basis, defined a compound system that consists of tourism carbon emissions, tourism economic development and tourism regional innovation. Further, the coupling coordination degree model and dynamic degree model were used to explore its spatiotemporal evolution characteristics of balanced development, and this paper distinguished the core influencing factors by Geodetector model. The results showed that (1) during the study period, the tourism carbon emission efficiency showed a reciprocating trend of first rising and then falling, mainly due to the change of pure technical efficiency. (2) The coupling coordination degree developed towards a good trend, while there were significant differences among provinces, showing a gradient distribution pattern of decreasing from east to west. Additionally, (3) the core driving factors varied over time, however, in general, the influence from high to low were as follows: technological innovation, economic development, urbanization, environmental pollution control, and industrial structure. Finally, some policy recommendations were put forward to further promote the coupling coordination degree.

Risk Perceptions of International Female Tourists in India

2015 ◽  
pp. 220-233
Author(s):  
Sushma Chugh
Keyword(s):  
Influencing Factors ◽  
Risk Perceptions ◽  
Tourism Industry ◽  
Safety Issues ◽  
Women Travelers ◽  
Women Tourists ◽  
International Women

In tourism industry perceptions are major influencing factors of visiting a destination. Tourism products cannot be pre tested prior to purchase. Therefore tourists rely a lot on perceptions and images of a destination. India is generally known for its myriad of culture, spirituality, climate and diversity. Image of India has suffered a tremendous jolt overseas after a few incidents of rapes and crimes have surfaced against women. Keeping this in mind this paper is an attempt to find out the risk perceptions of foreign women travelers to India and whether they consider India a safe destination for women. They were administered questionnaires taking the parameters that Gunn, 1972 had introduced. A sample of 100 international women tourists was selected randomly and on judgement basis. General perception of women tourists about India on safety and security of women was not positive. It was concluded through the survey that though women travelers had security and safety issues in India yet they found the country worth visiting again.

scholarly journals The tourism industry’s reaction to existential disruption – The role of normative, cognitive and relational expectations during recovery

2021 ◽  
Author(s):  
Oscar Yuheng Zhu ◽  
Sara Dolnicar
Keyword(s):  
Sociological Theory ◽  
Economic Loss ◽  
Tourism Industry ◽  
Environmental Benefits ◽  
Environmentally Sustainable ◽  
Business Operations ◽  
Normative Expectations ◽  
Information Brokers ◽  
Industry Associations

COVID-19 led to the hibernation of tourism activities globally, causing substantial economic loss and putting at risk the survival of many tourism businesses. At the same time, the reduction in travel activity led to an immediate and unprecedented reduction of global carbon emissions. Many academics argue that the tourism industry should be rebuilt in a more sustainable way post-COVID-19. Based on the sociological theory on response to disruption, the present study provides initial empirical evidence that long-lasting environmental benefits are unlikely to result from the pandemic. Recovery guidelines issued by the UNWTO and six member-based industry associations from different geographical locations and representing different types of tourism businesses form the basis of the empirical analysis. Member-based industry associations represent key information brokers during the pandemic; they convey information and advice to their member businesses. The result of the content analysis indicates the dominant impact of normative expectations, which exclusively focus on re-establishing the pre-COVID-19 status. While there is little indication that cognitive expectations – which view the pandemic as an opportunity to transform business operations to be more environmentally sustainable – will be leveraged. This stands in stark contrast to the collective hope that the tourism industry will become more sustainable after the pandemic.

A Study On The Influencing Factors Of Tourism Demand From Mainland China To Hong Kong

2020 ◽  
Vol 45 (1) ◽  
pp. 171-191
Author(s):  
Han Liu ◽  
Wei Liu ◽  
Yonglian Wang
Keyword(s):  
Influencing Factors ◽  
Mainland China ◽  
Tourism Industry ◽  
Time Varying ◽  
Tourism Demand ◽  
Search Query ◽  
Time Varying Parameter ◽  
Vector Auto Regression ◽  
The Relationship ◽  
Auto Regression

Tourism research increasingly uses search query data to forecast demand, but the literature rarely explores the mechanisms of the factors influencing demand. A time-varying parameter factor vector auto-regression model is constructed based on Baidu Index on six aspects (dining, shopping, transportation, tours, attractions, and lodging) of tourism demand from January 2011 to March 2019. The model can quantitatively and comprehensively analyze the mechanisms of tourism demand and its six important influencing factors, and can provide suggestions for subsequent planning, construction, and services in the tourism industry. The empirical results show that the relationship between the six factors and domestic tourism demand is time-varying. Dining, attractions, and shopping have a driving effect on tourism demand, and are thus stimulative factors; transportation, tours, and lodging hinder the growth of tourism demand, and are thus baffle factors.

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