Tourist Source Market Research Articles

Spatiotemporal Characteristics and Factors Influencing Urban Tourism Market Network in Western China: Taking Chengdu as an Example

Urban tourism network attention is important for measuring the competitiveness of the urban tourism industry, tourism attraction, and cultural soft power. In this study, we explored the spatiotemporal patterns and factors influencing network attention in the tourist source market and discussed how tourism cities can increase network attention, thus improving the competitiveness of urban cyberspace and developing soft power. Taking Chengdu as a research case, we obtained data on its tourism network attention from 31 provinces (autonomous regions and municipalities) between 2011 and 2021. We measured the spatiotemporal characteristics of network attention using the inter-annual change index, seasonal concentration index, potential tourists’ concentration coefficient, and ESDA model and analyzed the factors affecting spatiotemporal changes in network attention using the geographic weighted regression (GWR) model. The results revealed that from 2011 to 2021, the network attention of Chengdu tourism showed an overall “M”-type fluctuation trend, with significant seasonal differences and disequilibrium and significant differences in space, signifying an overall “∩”-shaped distribution trend. This suggested a weak negative spatial correlation. Further, the number of mobile Internet users, people in higher education per 100,000 people, per capita gross domestic product, urbanization rate, and passenger throughput are important factors that affect the network attention of Chengdu tourism. Thus, these results can be used by cities in western China to optimize the network attention rating system of urban tourism, strengthen the promotion of urban image, build a sustainable city, and transform network traffic into effective economic growth.

Spatial pattern and influencing factors of tourism based on POI data in Chengdu, China.

Based on the analysis of the spatial distribution characteristics and influencing factors of 2879 attractions POI in Chengdu, this paper studies the spatial distribution types, spatial concentration, and equilibrium of attractions by using standard deviation ellipse, geographic concentration index, and kernel density estimation. Buffer analysis, near analysis, correlation analysis, and grey relation analysis are used to study the influencing factors of tourism in Chengdu. The results show that: (1) The overall attractions POI in Chengdu is in an east-west direction, and except for other types of attractions POI, the remaining types are also in an east-west direction. (2) The spatial agglomeration areas of different types of attractions POI in Chengdu were quite different. Among them, parks and city squares were mainly concentrated in the central urban areas, namely Jinjiang, Qingyang, Jinniu, Wuhou, and Chenghua, forming a prominent gathering area. (3) There were differences in the influence degree of each factor on the spatial distribution of attractions POI. Topography and drainage, transportation, tourist source market, and other factors significantly correlated with the distribution of attractions, which were the main factors affecting the spatial distribution of attractions. Industrial development and economic population were also important factors affecting the distribution of attractions. Tourism is an important thrust for urban development. The study of the spatial distribution of tourism and its influencing factors has clear guiding significance for later tourism development, which can help optimize the integration of tourism resources, promote the cooperation of regional tourism development and provide a basis for decision-making for tourism development.

Research on Marketing Strategy of Indonesian Tourism Facing Chinese Tourist Source Market 印尼旅游业面向中国客源市场的营销策略研究

<p>How to grasp the development opportunities brought by the Belt and Road Initiative and further expand China's tourist source market is an issue worthy of the attention of the Indonesian government. In tourism development, Indonesia should give priority to the promoting role of tourism development in the growth of economic aggregate, attach great importance to the marketing and promotion of Chinese tourist source market, and pay special attention to the large scale of Chinese tourist source market, large number of tourists and high level of expenditure, as well as the characteristics of outbound tourism consumption behavior featuring large number of independent tourists, long stay, emphasis on destination safety and tourism experience. In order to further expand the Chinese tourist market, price strategies, scenic strategies, information strategies and visa strategies can be targeted in tourism marketing promotion, so as to better promote the healthy development of Indonesian tourism and promote the sustainable growth of Indonesian national economy.</p>

Spatial Differentiation, Influencing Factors, and Development Paths of Rural Tourism Resources in Guangdong Province

Rural tourism resources are the core carriers of rural tourism. It is, therefore, beneficial to further optimize the layout of rural tourism and to explore the spatial differentiation of rural tourism resources and their influencing factors. Taking 4670 rural tourism resources in Guangdong Province in China as the research object, this study explores the spatial distribution patterns of rural tourism resources through the nearest neighbor index, grid dimension analysis, kernel density analysis, and standard deviation ellipse method. Geodetectors are used to identify the influencing factors of the spatial heterogeneity of these resources in Guangdong Province. The findings reveal the following: (1) The distribution of rural tourism resources in Guangdong Province shows a tendency of agglomeration along the Tropic of Cancer, and the spatial distribution is unbalanced. The hot and cold spots show a “northeast-southwest” distribution trend. Furthermore, most of the hotspots form three high-density core areas, the sub-dense stretch zones connect into a w-shaped belt, and the sub-cold areas and sub-hot areas show a large expansion trend, thus forming five radiation areas. (2) The distribution of rural tourism resources in Guangdong Province is affected by multiple factors. In particular, the force of agricultural resource endowment, tourism resource endowment and transportation location are relatively strong, and social economy and tourist source market are the weak factors.

Research on the Evaluation of Ecotourism Resources: Based on the AHP Model

The comprehensive evaluation of ecotourism resources in the Qinling Mountains scenic spot using the AHP method can provide a reference for the sustainable construction and development of ecotourism resources, as well as the development of other tourism areas. Based on the analytic hierarchy process, the evaluation system of Qinling Mountain Ecotourism Resources is constructed, and the construction system is used to evaluate tourism ecological resources. The results show that, among the subtarget levels, the highest score is the interaction of tourism areas in the same region and the second is the applicability of regulations. These two indicators have a high impact on the score of Qinling Mountain Ecotourism Resources. In the project layer, the source of passenger flow has the largest weight, which is 0.1717, and the distribution of resource types has a smaller weight. At the index level, participation needs to be considered for tourism participation design. The Qinling scenic area has high historical and cultural value, diverse resource types, good tourist source market conditions, and great tourism development potential. However, problems exist, such as low resource aggregation and imperfect tourism supporting facilities development. It is necessary to develop ecotourism resources on the premise of ensuring environmental quality while taking into account the in-depth excavation of the experience and ornamental values of tourism resources, establishing the tourism characteristics of scenic spots from many aspects, such as improving tourism participation.

Liaoning Industrial Tourism and Cultural Resources Development

Industrial tourism culture resources is a kind of new tourism concept, is also a kind of new way of tourism, as people material life gradually meet people for the pursuit of spiritual life more, so this kind of new form of tourism presents the vigorous development of form, as the old industrial base of liaoning province, the number of industrial enterprises with leading the country, At the same time, it also has the advantages of geographical location, resources, environment, tourist source market and so on to develop industrial cultural tourism. However, liaoning province's industrial cultural tourism started late, and has immature development, inflexibility of the market and other problems urgently need to be solved.

Sustainable Mountain-Based Health and Wellness Tourist Destinations: The Interrelationships between Tourists’ Satisfaction, Behavioral Intentions, and Competitiveness

As mountain-based health and wellness tourism increases, destination competitiveness becomes ever fiercer. The pre-visit expectations and post-visit perceptions of tourists and the tourists’ behavioral intentions are related to the competitiveness of mountain-based health and wellness tourist destinations. Using structural equation modeling (SEM), we explored the factors that affect destination competitiveness and its relationships with tourism satisfaction and tourists’ behavioral intentions to return to and to recommend the location to others. We used a questionnaire for data collection from 550 tourists who visited a mountain-based health and wellness tourist destination in Panzhihua, China. The results suggested that there is an indirect positive correlation between tourists’ satisfaction and destination competitiveness, as well as a direct positive correlation between behavioral intentions and destination competitiveness, illustrating that tourist behavioral intentions can be an important factor in destination competitiveness. In the case of Panzhihua, the tourist source market in China has provided a competitive edge to this city. In addition, considering the environment’s capacity, developing an intention to return in tourists is important for tourism marketing in view of the increasing mountain-based health and wellness tourism competitiveness and concerns about sustainability.

LEAP-Based Greenhouse Gases Emissions Peak and Low Carbon Pathways in China's Tourist Industry.

China has grown into the world’s largest tourist source market and its huge tourism activities and resulting greenhouse gas (GHG) emissions are particularly becoming a concern in the context of global climate warming. To depict the trajectory of carbon emissions, a long-range energy alternatives planning system (LEAP)-Tourist model, consisting of two scenarios and four sub-scenarios, was established for observing and predicting tourism greenhouse gas peaks in China from 2017 to 2040. The results indicate that GHG emissions will peak at 1048.01 million-ton CO2 equivalent (Mt CO2e) in 2033 under the integrated (INT) scenario. Compared with the business as usual (BAU) scenario, INT will save energy by 24.21% in 2040 and reduce energy intensity from 0.4979 tons of CO2 equivalent/104 yuan (TCO2e/104 yuan) to 0.3761 Tce/104 yuan. Although the INT scenario has achieved promising effects of energy saving and carbon reduction, the peak year 2033 in the tourist industry is still later than China’s expected peak year of 2030. This is due to the growth potential and moderate carbon control measures in the tourist industry. Thus, in order to keep the tourist industry in synchronization with China’s peak goals, more stringent measures are needed, e.g., the promotion of clean fuel shuttle buses, the encouragement of low carbon tours, the cancelation of disposable toiletries and the recycling of garbage resources. The results of this simulation study will help set GHG emission peak targets in the tourist industry and formulate a low carbon roadmap to guide carbon reduction actions in the field of GHG emissions with greater certainty.

Research on the Development Model of Tourism Poverty Alleviation in Western Poor Areas Based on Computer Network

The dynamic mechanism of tourism poverty alleviation involves multiple forces such as government entities, tourism enterprises, local residents, non-governmental organizations, etc., make full use of the resources that may be mobilized and play the role of the government’s backbone in poverty alleviation in tourism. Stakeholders distribute benefits fairly and provide reasonable policy support. Strengthen the promotion of tourism scenic spots, build the image of national cultural tourism brands, expand the tourist source market, enhance the popularity of tourist scenic spots and use computer network technology to facilitate the development of tourism in its poor areas.

Brexit Announcement: Immediate Impact on British Tourism in Spain

The United Kingdom constitutes the principal tourist source market for Spain. This research note analyzes the immediate impact of the Brexit on British tourism in Spain using the Bayesian structural time series models framework. The results obtained show that between July 2016 and September 2017, Brexit has not produced any initial negative effect on the arrival of British tourists or on their spending in Spain.

Analysis on the inbound tourist source market in Jiangxi based on geographic concentration index and market competition status

In accordance with the related data of Statistical Yearbook of Jiangxi (2007—2016), conduct analysis on the development situation of inbound tourist source market in Jiangxi based on geographic concentration index and market competition status. The result shows: when the geographic concentration index of the inbound tourism market in Jiangxi presents an increasing decline trend, the tourism-generating countries of the inbound tourism in Jiangxi are getting more and more disperse, the tourist markets present the diversified feature and the inbound tourism market tends to be stable; besides, the analysis result of the market competition status shows that the inbound tourism development in Jiangxi has transformed from the rapid development to stable development.

SWOT Analysis and Related Countermeasures for Croatia to Explore the Chinese Tourist Source Market

Abstract Croatia is a land endowed with rich and diversified natural and cultural tourist resources. Traveling around Croatia, I was stunned by its beauty. However, I noticed that there were few Chinese tourists in Croatia. How can we bring more Chinese tourists to Croatia? How can we make them happy and comfortable in Croatia? And, at the same time, how can we avoid polluting this tract of pure land? Based on first-hand research work, I make a SWOT analysis of the Chinese tourist source market of Croatia and put forward related countermeasures from the perspective of a native Chinese. The positioning of tourism in Croatia should be ingeniously packaged. I recommend developing diversified and specialized tourist products, various marketing and promotional activities, simple and flexible visa policies and regulations, and other related measures to further explore the Chinese tourist source market of Croatia.

Analysis on the inbound tourist source market in Fujian Province

The paper analyzes the development and structure of inbound tourism in Fujian Province by Excel software and conducts the cluster analysis on the inbound tourism market by SPSS 23.0 software based on the inbound tourism data of Fujian Province from 2006 to 2015. The results show: the rapid development of inbound tourism in Fujian Province and the diversified inbound tourist source countries indicate the stability of inbound tourism market; the inbound tourist source market in Fujian Province can be divided into four categories according to the cluster analysis, and tourists from the United States, Japan, Malaysia, and Singapore are the key of inbound tourism in Fujian Province.

Research on Inbound Tourism Source Markets of Hainan Province Based on the Preference Scale

Using the model of preference scale, we can do empirical analysis for the change characteristics of inbound tourist source market of Hainan Province from 2005 to 2014. The results shows that the inbound tourism source markets of Hainan province mainly include Russia, Singapore, Germany and Malaysia. Preference scale is of great national differences and most countries’ trend is stable. According to the results of empirical analysis, we put forward the policy recommendations that taking measures to stabilize Southeast Asian market and doing more promotions aiming to Russia, Germany and other European countries.

Economic and destination image impacts of mega-events in emerging tourist destinations

Abstract Mega-events can have different types of effects, both tangible and intangible, for host cities or countries. For the case of the 2012 Eurovision Song Contest (ESC) in Baku, Azerbaijan, this study combines an economic impact study and two country image assessments carried out before and after this mega-event in an emerging tourist destination. Economic impacts are calculated based on on-site, face-to-face visitor surveys during the ESC and an input–output model. Image effects are measured with a representative two-wave online panel in Austria, which was selected as a potential tourist source market for Azerbaijan. The study finds that visitor expenditures produce €3.3 million of direct and indirect income in terms of local wages and salaries. Additionally, Azerbaijan’s image improved significantly through the mega-event, especially with young, cosmopolitan people. Surprisingly, the country’s image significantly improved even among people who did not watch the ESC on TV, due to extensive media coverage.

Understanding Source Market of Chinese Outbound Travel at Regional Level

This study concerns the tourist source market of Chinese outbound travel by justifying a geographic market segmentation approach and examining regional levels of the development. Two different empirical regularities used in urban geography were employed to measure the changes between larger and smaller tourist-generating places from 1997 to 2014. Research findings imply that 1) the tourist volume has been growing over time for all places under investigation with regional diversities; 2) as the scale of mega region (in terms of tourist volume) becomes larger, the small and medium regions respond rapidly to this change, imposing a shift on the whole market from a single dominance to a promising decentralized pattern. The purpose in this paper is to propose different models to account for this evolution. Understanding these implications may help western providers deliver suitable goods and services to China market in different cultural contexts.

天津市静海县旅游形象设计初探 Study on Tourism Image Design of Jinghai in Tianjin

本文在问卷调查的基础上，通过分析自然背景、文脉等地方性特征及旅游客源市场受众，并借助现代行为地理学理论，研究探讨了天津市静海县区域旅游的定位和形象设计，提出了包括整体形象、行为形象设计、视觉形象设计等在内的较为全面的区域旅游形象系统。 Based on questionnaire survey, the location and image design of regional tourism were studied by analyzing local characteristics such as natural background context and tourist source market, and by means of modern behavior geography. The regional tourism image, individual image design and visual image design were put forward.

Intervention analysis of SARS on Japanese tourism demand for Taiwan

Japan was Asia’s leading generator of international tourism in the 1980s and 1990s. Japanese tourists make up over 30% of all international tourists to Taiwan and they have been the highest ranking tourist source market since the early stages of the island’s tourism development in the 1970s. However, the Severe Acute Respiratory Syndrome (SARS) outbreak in 2003, the most catastrophic disaster in the past 100 years in Taiwan, had a huge impact on Japanese inbound tourism to the island. The purpose of this study is to evaluate how Japanese inbound arrivals have been affected by the SARS outbreak. A SARIMA with intervention model is used to assess the impact of the epidemic on inbound tourism from Japan to Taiwan in the aftermath of the SARS outbreak. The empirical results indicated that inbound tourism from Japan was devastated by the crisis, particularly during the first 5 months after the SARS outbreak. This study provides some helpful insight for the tourism industry to respond to the impact of exogenous shock.

Analysing Seasonal Changes in New Zealand's Largest Inbound Market

The purpose of the paper is to analyse seasonal changes in tourism demand by New Zealand's major tourist source market, Australia, for the period 1979–2005. A time series regression model is used to test the significance of monthly seasonality. By examining sub-periods that are based on major exogenous events which have had significant impacts on international travel demand to New Zealand, seasonal distributions and intra-year seasonal variations over the 27-year period are subsequently estimated using normalized seasonal indices, coefficient of variation, seasonal ratio and the Gini coefficient. Compared with the findings of previous studies for other countries, the empirical evidence suggests that, while the tourism flow distribution or concentration is not significant for New Zealand, the seasonality in tourism demand by New Zealand's largest inbound market has changed over time.

Are Australia's tourism markets converging?

In this paper we make an important contribution towards understanding Australia's tourism industry by examining whether or not Australia's tourism markets are converging. We define convergence as the reduction in tourist arrivals’ differential, which is calculated as the difference between total visitor arrivals to a country and visitor arrivals from a particular tourist source market. We analyze Australia's thirteen major tourist source markets using monthly data over the period January 1991 to September 2003. To test for convergence, we use the univariate and panel Lagrange multiplier (LM) tests. Our main finding is that when we allow for two structural breaks in the data series, both univariate and panel LM tests provide strong evidence for convergence of Australia's tourism markets. This implies that policies aimed at attracting visitor arrivals from any one of Australia's thirteen tourist source markets will boost the volume of tourists coming into the country.