Role of tourism price in attracting international tourists: The case of Japanese inbound tourism from South Korea

Kim, Jewoo; Lee, Choong‐Ki

doi:10.1016/j.jdmm.2016.03.002

Cited by 37 publications

(33 citation statements)

References 64 publications

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“…One such factor is the price level of tourism products and services, which is typically measured by relative prices between the inbound and outbound countries (Eilat & Einav, 2004;Kim & Lee, 2016;Weber, 2001). As expected, studies generally find a decrease in relative price in the inbound country increases tourist arrivals.…”

Section: Determinants Of Tourism Demandmentioning

confidence: 89%

Impact of economic policy on international tourism demand: the case of Abenomics

Kim

Lee

Mjelde

2016

Current Issues in Tourism

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Since the 2008 global financial crisis and resulting recession, many countries have been following unconventional monetary policies. Little information is known on how these policies may influence tourism demand. This study starts to fill this gap by investigating the impact of the Japanese economic policy known as Abenomics on South Koreans' travel to Japan, the largest inbound market for Japan. Per capita gross domestic product, relative prices, and exchange rates are significant determinants of Japanese inbound tourism. As these variables have been influenced by Abenomics, one can infer that Abenomics is associated with a significant increase in tourist arrivals from South Korea. Findings highlight the importance of government economic policy in stimulating international tourism demand through its impact on the economy.

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Section: Determinants Of Tourism Demandmentioning

confidence: 89%

Impact of economic policy on international tourism demand: the case of Abenomics

Kim

Lee

Mjelde

2016

Current Issues in Tourism

Self Cite

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“…However, the number of data points included in the studies which largely influence the accuracy of the results are relatively small. Price levels and relative prices is for example another significant factor that could often be seen in the tourism literature [14]. Gross Domestic Products per capita (GDP PC) and Population despite the controversies on the significance of the latter are the most common indicators in the econometric studies [15]- [17].…”

Section: Literature Reviewmentioning

confidence: 99%

Gravity Model Extensions for the Impact of Mega Sports Events on Tourist Flow

Rabadi¹,

Stanekzai²,

Cotter³

et al. 2016

JOEBM

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Mega sports events such as the Olympics and the FIFA World Cup are highly attended and countries compete ferociously to host such events due to their perceived long term positive effects. Inbound tourist forecasting is an important aspect of the hosting decision; however, due to the infrequent occurrence of such events, it is not straightforward to predict the number of tourists who may travel to the host country. We focus in this paper on a regression model known as the Gravity Model to predict the number of inbound tourists between pairs of countries and we extend it to include new predictors and study their impact.

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“…The market potential of inbound tourist flow mainly depends on the attributes of the tourism supply side, such as the industrial structure, resource endowment, climate comfort index, destination image [38], price level, and traffic conditions of the destination [43,49]. More importantly, due to the differences in culture, endowment, geography, economy, policies, and other aspects among different destinations (province or autonomous region) [53][54][55], the tourism demand elasticity intensity of different travel motivation segments for various variables is significantly different, which is consistent with our theoretical expectations. This difference was the starting point and foothold of this study and the basis of the proposed development path.…”

Section: Discussionmentioning

confidence: 99%

“…in the inbound tourism market (foreigners, Hongkonger tourists, Macanese tourists, and Taiwanese tourists) of China. We combined elasticity differences of various motivations, which are caused by different variables such as traffic conditions [51,52], consumer price index (CPI) [53], resource endowments, destination image [54,55], climate environment, industrial structure, and infrastructure [56] to explore the market potential development model and path that suits the unbalanced distribution of inbound tourist flow in provinces and autonomous regions. Finally, we propose countermeasures and suggestions that are more practical.…”

Section: Literature Reviewmentioning

confidence: 99%

The Spatial Distribution, Influencing Factors, and Development Path of Inbound Tourism in China—An Empirical Analysis of Market Segments Based on Travel Motivation

et al. 2020

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According to China’s tourism statistics, the inbound tourism market is composed of eight types of travel motivations (sightseeing, leisure, business meeting (business-m), visiting relatives and friends (visiting-rf), shopping, religious worship (religious-w), culture and sports (culture-s), and health care (health-c)), and the spatial distribution of each type of travel motivation is significantly different. Four inbound sub-markets (foreigners, Hong Kong, Macao, and Taiwan) were selected as our research object. Through empirical analysis of the variable elasticity of eight different inbound motive market segments, we found that the sensitivities (elasticity) of the influencing factors (traffic conditions (traffic-c), destination image (destination-i), industry structure (industry-s), infrastructure, consumer price index (CPI), resource endowment (resource-e), and dressing index (ICL)) are different. Therefore, investment options in the target market can have differential treatment based on the rate of marginal return on investment. In accordance with the characteristics of different market segments, we suggest more feasible development paths and countermeasures, providing a decision-making basis for the accurate development of the inbound tourism market.

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Role of tourism price in attracting international tourists: The case of Japanese inbound tourism from South Korea

Cited by 37 publications

References 64 publications

Impact of economic policy on international tourism demand: the case of Abenomics

Impact of economic policy on international tourism demand: the case of Abenomics

Gravity Model Extensions for the Impact of Mega Sports Events on Tourist Flow

The Spatial Distribution, Influencing Factors, and Development Path of Inbound Tourism in China—An Empirical Analysis of Market Segments Based on Travel Motivation

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