Development pattern, classification and evaluation of the tourism academic community in China in the last ten years: From the perspective of big data of articles of tourism academic journals☆
Section snippets
Research question
The decade from 2003 was a significant period of transformation for Chinese tourism development and research. By 2011 there were 1115 tertiary institutions approved by the Chinese Educational authorities to offer tourism education. This compares with 407 universities and institutes in 2002, a growth of approximately 10.6% per annum. At the same time the number of tour companies and hotels increased by 7.4% and 2.8% per annum. The numbers of staff involved in tourism teaching and academic
Literature view
Statistical analysis of an author's CV, topics, key words, and core discipline is an easy, effective, and frequently used method to identify the current situation, existing problems, and trends of a certain subject. In tourism research, many scholars have adopted this method for similar research, with many such articles being published in Tourism Tribune. For example, Zhao (2000) analysed the articles of Tourism Tribune from 1990 to 1999 to identify the authors' social-demographic profile and
Research method and sample
The general methods of measuring the contribution of authors, universities, and research institutes include, questionnaire survey, citation analysis, content analysis, and textual analysis. However, all such past analyses were based on small sample sizes. As discussed above, tourism is scattered across different subjects, and there are but only a few journals that contain “tourism” in the name of the journal, such as Tourism Tribune, which is one of the core journals recognised in Beijing
Results and discussion
The study analysed 16,024 tourism academic articles published in Chinese core journal database, CSSCI and CSCD database from 2003 to 2012. These articles were written by 13,608 authors from 2565 universities or institutions. Each journal published 20.44 papers on average, and each author published 1.18 articles on average, and each university or institute had 5.03 authors on average. This is the overall structure and character of China's tourism community in a recent ten year period. Because
Conclusion and discussion
This paper displays the pattern of development and the classification structure of the tourism academic community over the past decade in China, and draws a more comprehensive and systematic conclusion than previous studies. The method of research has a degree of innovation permitting the discovery of phenomena and problems that have not been revealed in previous studies. It also lays a certain foundation for promoting big data applications of Chinese tourism academic research. Compared with
Lingyun Zhang is a Professor and Executive Chief Editor of Tourism Tribune, the leading academic journal in tourism in Chinese language. He currently serves as the Executive Deputy Dean of the Tourism College, Beijing Union University. His former position was Dean of the Research Institute of Tourism Development, Beijing International Studies University, China.
References (36)
- et al.
An analysis of institutional contributors to three major academic tourism journals: 1992–2001
Tourism Management
(2005) - et al.
Rating tourism and hospitality journals
Tourism Management
(2006) The ranking and rating of academics and journals in tourism research
Tourism Management
(2005)An authorship analysis of tourism research
Annals of Tourism Research
(1991)- Anderson, C. (2006). The long tail. Qiao, J., trans. Beijing: China CITIC Press. (in...
The concept of a tourist area cycle of evolution: implications for management of resource
Canadian Geographer
(1980)- et al.
Study on inspecting and reconsidering the tourism research in China: taking the journal of tourism tribune as an example
Geography and Geo-Information Science
(2008) On the development of tourism as a discipline based on the analysis of doctoral dissertations on tourism studies
Tourism Tribune
(2004)Differences and gaps: the comparison study of PhD dissertations in tourism geography between China and North America
Human Geography
(2006)- et al.
An analysis of the knowledge system of China's tourism research based on the analysis of keywords in tourism tribune
Tourism Tribune
(2011)
Deconstruction and reconstruction: a new idea for the development of the discipline of tourism science
Tourism Tribune
Process and characteristics of tourism research development in China from 1979 to 2008: based on the statistics of domestic journals and papers
Progress in Geography
Population distribution of China
Acta Geographica Sinica
Assessing the influence and impact of China's tourism research journals
Tourism Tribune
Mapping knowledge analysis of tourism discipline research based on CSSCI from 2000 to 2010
Tourism Tribune
On the progress of China's tourism research in the past twenty years: academic trends as reflected in NSFC and NPOPSS full tourism foundation database
Tourism Tribune
On tourism discipline development from the perspective of tourism research literature
Human Geography
Cited by (23)
Tourism planning and planning theory: Historical roots and contemporary alignment
2020, Tourism Management PerspectivesCitation Excerpt :For example, in China the top down processes of tourism planning are seen as markedly different from approaches prevailing in many western countries (Wan & Pinheiro, 2014). Much of this work is published in Mandarin in such journals as Tourism Tribune and Human Geography (Wu & Xu, 2010; Zhang, Lan, Qi, & Wu, 2017). Similarly, there have been local influences on tourism planning in other non-English language speaking countries with emphases on such distinctive traditions as social tourism or focused regional plans in France, Spain and elsewhere (Baidal, 2004; Diekman & McCabe, 2016).
Food waste and the embedded phosphorus footprint in China
2020, Journal of Cleaner ProductionSpatiotemporal analysis of regional tourism development: A semiparametric Geographically Weighted Regression model approach
2019, Habitat InternationalCitation Excerpt :Tourism has become a strategic pillar industry of economic development for the national economy, with rapid urbanization and increased disposable income stimulating the travel demands of residents (Huang & Chen, 2016). However, rapid development has also brought inequality (Li, Chen, Li, & Goh, 2016; Yang, 2012), where spatial heterogeneity is observed in regional tourism growth (Yang & Fik, 2014), socioeconomic status (Jiang, 2009) and inbound tourism (Zhang, Lan, Qi, & Wu, 2017). Considering the spatial heterogeneity of tourism development, the Jiangsu Province of China has been identified as an example to explore the spatiotemporal model of regional tourism development due to the rapid development of its tourism industry.
Big data in tourism research: A literature review
2018, Tourism ManagementCitation Excerpt :However, a systematic literature review on the big data in tourism research was still lacking. The existing literature reviews on tourism research mainly focused on the following issues: tourism within a certain country such as China (e.g., Bao, Chen, & Ma, 2014; Huang & Chen, 2016; Sun, Wei, & Zhang, 2017; Zhang, Lan, Qi, & Wu, 2017); tourism in particular types such as event tourism and volunteer tourism (Getz & Page, 2016; Wearing & McGehee, 2013); tourism demand (Goh & Law, 2011; Song & Li, 2008); tourist behavior (Bhati & Pearce, 2016; Pomfret & Bramwell, 2016); tourism attraction (Leask, 2016); tourism risk (Yang, Khoo-Lattimore, & Arcodia, 2017). Nevertheless, regarding applying big data to tourism research, to the best of our knowledge, there existed only three relevant reviews: Rashidi, Abbasi, Maghrebi, Hasan, and Waller (2017) explored the capacity of social media data for modelling travel movements; Schuckert, Liu, and Law (2015b) reviewed the studies on online reviews in tourism and hospitality; Shoval and Ahas (2016) conducted a literature review on tracking data in tourism research.
Big Data analytics for forecasting tourism destination arrivals with the applied Vector Autoregression model
2018, Technological Forecasting and Social ChangeCitation Excerpt :Recent researches on Big Data in tourism have sprung up. Utilizing Big Data analysis, Liu et al. (2017) reveal determinants of hotel customer satisfaction in language groups; Xiang et al. (2015) prove the inherent relationship between hotel guest experience and satisfaction, and Zhang et al. (2017) show the development of tourism as a discipline in China by using meta-analysis. Big Data analysis has also been employed to forecast tourist flows.
Tourists, mobilities and paradigms
2017, Tourism ManagementCitation Excerpt :Some interest emerged in the 1980s (Guangrui, 1989; Mings & Liu, 1989), much more in the 1990s (Oakes, 1998; Chee-Beng, Cheung and Hui, 2001) and since the early 2000s there has been an explosion of publications, in both English and Chinese (Andreu, Claver & Quer, 2014: 346; Arlt, 2013; Dai, Jiang, Yang, & Ma, 2017, p. 148; Harrison, 2016, p. 23; Huang, 2011; Huang & Chen, 2016; Hsu, Huang, & Huang, 2010; Kong & Cheung, 2009, p. 343; Li, 2016; Ryan & Huang, 2013; Tsang & Hsu, 2011, p. 888; Xiang, 2013; Xie & Li, 2009). Indeed, Zhang, Lan, Qi and Wu report on a survey of 16,024 academic papers on tourism articles published in China from 2003 to 2012 (2017). Such a body of scholarship, drawing on the wide range of theoretical perspectives, methodologies and research techniques available in ‘Western’ social science, belies suggestions that Chinese tourism has been neglected or that ‘Western’ social science is inappropriate to the study of tourism in non-Western societies.
Lingyun Zhang is a Professor and Executive Chief Editor of Tourism Tribune, the leading academic journal in tourism in Chinese language. He currently serves as the Executive Deputy Dean of the Tourism College, Beijing Union University. His former position was Dean of the Research Institute of Tourism Development, Beijing International Studies University, China.
Chaoying Lan is a PhD student of Southwest University of Finance and Economics, majoring in tourism management. She holds a bachelor's degree in library science from Southwest University and worked in the library of Beijing International Studies University for many years. Her main research topics are tourism informatization, big data analysis of tourism industry, and tourism researchers' academic ranking, and tourism academic journal impact analysis.
Fei Qi is a PhD student of the Graduate School of Chinese Academy of Social Sciences. She holds a master's degree in tourism management from Beijing International Studies University. Her main research topics are tourism management and the development of the modern service industry.
Ping Wu is a graduate student of Beijing Union University, majoring in tourism management. She holds a bachelor's degree in tourism management from Central South University of Forestry and Technology. Her main research topics are tourism destination management, big data analysis of tourism industry, tourism researchers' academic ranking, and tourism academic journal impact analysis.
- ☆
This paper was originally published in Chinese as: Zhang Lingyun, Lan Chaoying, Qi Fei, Wu Ping. Development Pattern, Classification and Evaluation of the Tourism Academic Community in China in the Last Ten Years: From the Perspective of Big Data of Articles of Tourism Academic Journals. Tourism Tribune, 2013, 28(10): 114–125.