Domestic tourism demand of urban and rural residents in China: Does relative income matter?

Yang, Yang; Liu, Zehua; Qi, Qiuyin

doi:10.1016/j.tourman.2013.05.005

Cited by 76 publications

(60 citation statements)

References 51 publications

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“…Athanasopoulos et al, 2014). Furthermore, Li et al (2013) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 Gholipour et al, 2014;Yang et al, 2014a). Panel data analysis incorporates information from both time series and cross-sectional dimensions and is therefore especially efficient when the time series are short but cross-sectional data are available.…”

Section: Econometric Methodsmentioning

confidence: 99%

“…Therefore, researchers have attempted to find appropriate determinants of tourism and hotel demand and their optimal proxies according to particular research objectives. For example, Yang et al (2014a) measured relative income using the distance between individual income and the average income of a city/province and identified the significant effect of the variable. Goh et al (2008) incorporated a leisure time index and a climate index into monthly demand forecasting and found that they have a stronger impact on tourist arrivals than economic factors.…”

Section: Other New Explanatory Variablesmentioning

confidence: 99%

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New developments in tourism and hotel demand modeling and forecasting

Song

Shen

2017

IJCHM

254

217

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Design/Methodology/approachArticles on tourism and hotel demand modeling and forecasting published in both Science Citation Index (SCI) and Social Sciences Citation Index (SSCI) journals were identified and analyzed. FindingsThis review finds that the studies focused on hotel demand are relatively less than those on tourism demand. It is also observed that more and more studies have moved away from the aggregate tourism demand analysis, while disaggregate markets and niche products have attracted increasing attention. Some studies have gone beyond neoclassical economic theory to seek additional explanations of the dynamics of tourism and hotel demand, such as environmental factors, tourist online behavior, and consumer confidence indicators, among others. More sophisticated techniques such as Research limitations/implicationsThe main limitation of this review is that the articles included in this study only cover the English literature. Future review of this kind should also include articles published in other languages. The review provides a useful guide for researchers who are interested in future research on tourism and hotel demand modeling and forecasting. Practical implicationsThis review provides important suggestions and recommendations for improving the efficiency of tourism and hospitality management practices. Originality/valueThe value of this review is that it identifies the current trends in tourism and hotel demand modeling and forecasting research and points out future research directions.

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Section: Econometric Methodsmentioning

confidence: 99%

Section: Other New Explanatory Variablesmentioning

confidence: 99%

New developments in tourism and hotel demand modeling and forecasting

Song

Shen

2017

IJCHM

254

217

View full text Add to dashboard Cite

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“…In 2012 and 2013, the growth rate of international tourism receipts was 3.23% and 3.27%, whereas that of domestic tourism receipts reached 17.62% and 15.72% (Figure 1). Over the past decade, China's rapid economic growth and increased income have promoted the domestic travel (Yang, Liu, & Qi, 2014). Moreover, the Chinese government also launched the favorable policies of Weekends System in 1995, the Golden Week in 2000 and the Highway Tax Cut during four public holidays in 2012 to stimulate domestic tourism demand (Goh et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Non‐participation of Domestic Tourism: Analyzing the Influence of Discouraging Factors

Meng

Zhang

2016

Journal of Tourism Research

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This study analyzes the factors that discourage non-tourists' participation in domestic tourism. Data were collected in 15 cities in China and analyzed using a comparative analysis and non-parametric ridit analysis. The findings indicate that (i) non-tourists have low internal travel motivation and attitude and are more likely to be under 25 or above 55 years old, less educated, less healthy, with small child(ren) and lower income; (ii) non-tourists consider less on destination environment and attraction, but focus on price and travel expenses when making a travel decision and destination choice; and (iii) economic and leisure time are their main situational travel constrains.

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“…Indeed, because of the re-distributional effects of domestic tourism it attracted the attention of policymakers. Among several examples, national governments in both China and South Korea have isolated the revitalization and expansion of domestic tourism as a core tourism policy issue (Ghimire, 2001;Kang et al, 2014;Yang et al, 2014). In China the boosting of domestic tourism included the introduction of the five day week in 1995 and of the 11 day long holiday week in 1999 which "effectively enabled the Chinese to take a three week break during the 'Golden Week' by combining it with other holidays" (UNWTO, 2012: 6).…”

Section: Introductionmentioning

confidence: 99%

Restructuring the geography of domestic tourism in South Africa

Rogerson

2015

Bulletin of Geography. Socio-Economic Series

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Abstract. Domestic tourism is relatively under-represented in tourism scholarship. This article attempts to analyse the role of domestic tourism in one of the 'emerging world regions' of tourism. In the case of South Africa domestic tourism represents a significant element of the country's tourism economy. The objectives are to provide (i) an analysis of the growth, contemporary spatial patterns and restructuring of domestic tourism in South Africa; and (ii) an assessment of emerging policy debates issues taking place about domestic tourism. Using a detailed local level data base on tourism flows this paper provides fresh insight into the character and changing geography of domestic tourism in South Africa. The nature and dynamics of domestic tourism are shown to have shifted since democratic transition. The restructured geography of domestic tourism exhibits a number of continuities and changes with earlier times. Government is seeking to use domestic tourism as a basis for addressing spatial unevenness in patterns of tourism development. In terms of recent spatial change it is revealed the most significant developments are the strengthening of Ethekwini as the country's leading domestic tourism destination and the relative demise of Cape Town as a hub for domestic tourists.

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Domestic tourism demand of urban and rural residents in China: Does relative income matter?

Abstract: ABSTRACT

Cited by 76 publications

References 51 publications

New developments in tourism and hotel demand modeling and forecasting

New developments in tourism and hotel demand modeling and forecasting

Non‐participation of Domestic Tourism: Analyzing the Influence of Discouraging Factors

Restructuring the geography of domestic tourism in South Africa

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