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      Determinants of Chinese tourism demand to South Korea

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      https://www.riss.kr/link?id=A104995373

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      다국어 초록 (Multilingual Abstract)

      With the rapid growth of international tourism demand, Chinese tourism demand to South Korea has been a hot issue recently. In addition, the tourism industry can be regarded as one of the most important sectors in Korea's current economic development. Therefore, the primary purpose of this paper is to identify the main determinants of Chinese tourist demand to South Korea over the period covering 1984-2014 by employing co-integration techniques and error correction model.
      The empirical results indicate that the estimated coefficient of lagged variable is significant and may reflect the importance of word of mouth in determining Chinese tourist demand. The study also clearly shows that income, trade, and relative price are main determinants of Chinese tourism demand to South Korea. The study reveals that Chinese income can be viewed as luxury goods because its elasticity is greater than unity. On the contrary, Chinese tourists' reaction to a change in the relative price turns out to be price elastic by decreasing their tourism demand. Therefore, to attract more Chinese tourists to South Korea, adequate marketing policies should be established based on the findings of this study.
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      With the rapid growth of international tourism demand, Chinese tourism demand to South Korea has been a hot issue recently. In addition, the tourism industry can be regarded as one of the most important sectors in Korea's current economic development....

      With the rapid growth of international tourism demand, Chinese tourism demand to South Korea has been a hot issue recently. In addition, the tourism industry can be regarded as one of the most important sectors in Korea's current economic development. Therefore, the primary purpose of this paper is to identify the main determinants of Chinese tourist demand to South Korea over the period covering 1984-2014 by employing co-integration techniques and error correction model.
      The empirical results indicate that the estimated coefficient of lagged variable is significant and may reflect the importance of word of mouth in determining Chinese tourist demand. The study also clearly shows that income, trade, and relative price are main determinants of Chinese tourism demand to South Korea. The study reveals that Chinese income can be viewed as luxury goods because its elasticity is greater than unity. On the contrary, Chinese tourists' reaction to a change in the relative price turns out to be price elastic by decreasing their tourism demand. Therefore, to attract more Chinese tourists to South Korea, adequate marketing policies should be established based on the findings of this study.

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      참고문헌 (Reference)

      1 Seetanah, B., "Using the panel co-integration approach to analyze the determinants of tourism demand in South Africa" 16 (16): 715-729, 2010

      2 Seetaram, N., "Use of dynamic panel co-integration approach to model international arrivals to Australia" 49 (49): 414-421, 2010

      3 UN World Tourism Organization, "UN WTO Annual Report 2014" 2014

      4 World Travel and Tourism Council, "Travel and tourism economic impact 2014(World)" World travel and Tourism council 2014

      5 Song, H., "Tourism economic research : A review and assessment" 39 (39): 1653-1682, 2012

      6 Crouch, G. I., "The study of international tourism demand : review of findings" 33 (33): 12-23, 1994

      7 Lim, C., "The major determinants of Korean outbound travel to Australia" 64 (64): 477-485, 2004

      8 Mohammad, R. J., "The impact of electronic word of mouth on a tourism destination choice : Testing the theory of planned behavior(TPB)" 22 (22): 591-612, 2012

      9 Hendry, D. F., "The econometric analysis of economic time series : Reply to discussion" 51 (51): 160-163, 1983

      10 Saayman, A., "The determinants of inbound tourism to South Africa" 14 (14): 81-96, 2008

      1 Seetanah, B., "Using the panel co-integration approach to analyze the determinants of tourism demand in South Africa" 16 (16): 715-729, 2010

      2 Seetaram, N., "Use of dynamic panel co-integration approach to model international arrivals to Australia" 49 (49): 414-421, 2010

      3 UN World Tourism Organization, "UN WTO Annual Report 2014" 2014

      4 World Travel and Tourism Council, "Travel and tourism economic impact 2014(World)" World travel and Tourism council 2014

      5 Song, H., "Tourism economic research : A review and assessment" 39 (39): 1653-1682, 2012

      6 Crouch, G. I., "The study of international tourism demand : review of findings" 33 (33): 12-23, 1994

      7 Lim, C., "The major determinants of Korean outbound travel to Australia" 64 (64): 477-485, 2004

      8 Mohammad, R. J., "The impact of electronic word of mouth on a tourism destination choice : Testing the theory of planned behavior(TPB)" 22 (22): 591-612, 2012

      9 Hendry, D. F., "The econometric analysis of economic time series : Reply to discussion" 51 (51): 160-163, 1983

      10 Saayman, A., "The determinants of inbound tourism to South Africa" 14 (14): 81-96, 2008

      11 이정완, "The Impact of Foreign Exchange Rates on International Travel: The Case of South Korea" 한국유통과학회 10 (10): 5-11, 2012

      12 Chaitip, P., "Thailand's international tourism demand: The ARDL approach to cointegration" 9 (9): 163-184, 2009

      13 Tang, C. F., "Small sample evidence on the tourism-led growth hypothesis in Lebanon" 17 (17): 234-246, 2014

      14 McAleer, M., "Sherlock Holmes and the search for truth : A diagnostic tale" 8 (8): 317-370, 1994

      15 Roger, F. M., "Rural tourism demand in Galicia, Spain" 12 (12): 21-31, 2006

      16 Lim, C., "Review of international tourism demand models" 24 (24): 835-849, 1997

      17 Li, G., "Recent developments in econometric modelling and forecasting" 44 (44): 82-99, 2005

      18 Li, H., "Quantile elasticity of international tourism demand for South Korea using the quantile autoregressive distributed lag model" 17 (17): 997-1015, 2011

      19 Ledesma-Rodriguez, F. J., "Panel data and tourism : A case study of Tenerife" 7 (7): 75-88, 2001

      20 Korean Tourism Organization, "Monthly statistical report on tourism"

      21 Lim, C., "Modelling the determinants of international tourism demand to Australia" Osaka University 2001

      22 Kulendran, N., "Is there a relationship between international trade and international travel" 32 (32): 1001-1009, 2010

      23 Lean, H. H., "Is the tourism-led growth hypothesis stable for Malaysia : A note" 12 (12): 375-378, 2010

      24 Garin-Munoz, T., "Inbound international tourist to Canary Islands : A dynamic panel data model" 27 (27): 281-291, 2006

      25 Carey, K., "Estimation of Caribbean tourism demand : issuers and methodology" 19 (19): 32-40, 1991

      26 Divisekera, S., "Economics of tourist's consumption behavior : Some evidence from Australia" 31 (31): 629-636, 2010

      27 Divisekera, S., "Economics of domestic tourism : A study of Australian demand for tourism goods and services" 14 (14): 279-292, 2009

      28 Archer, B. H., "Domestic tourism as a development factor" 5 (5): 126-141, 1978

      29 Sahli, M. S., "Does inbound tourism benefit developing countries? A trade theoretic approach" 45 (45): 426-434, 2007

      30 Park, S. Y., "Determinants of volatility on international tourism demand for South Korea : An empirical note" 17 (17): 217-223, 2010

      31 Eilat, Y., "Determinants of international tourism : A three-dimensional panel data analysis" 36 (36): 1315-1327, 2004

      32 Lee, C. H., "Determinants of inbound tourist expenditures" 23 (23): 527-542, 1996

      33 Nelson, D. B., "Conditional heteroskedasticity in asset returns : A new approach" 59 (59): 347-370, 1991

      34 Engel, R., "Co-integration and error correction representation, estimation and testing" 55 (55): 251-276, 1987

      35 Arlt, W. G., "China's outbound tourism" Routledge 2006

      36 Hanafiah, M. H., "Bilateral trade and tourism demand" 10 : 110-114, 2010

      37 Korean Tourism Research Institute, "Annual statistical report on tourism" KRTI 2014

      38 Korea Health Industry Development Institute, "Analysis on current trends of tourism" KHIDI 2014

      39 Kim, S., "Analysis of tourism demand in South Korea : A cointegration and error correction approach" 2 (2): 25-41, 1998

      40 Korea Culture & Tourism Institute, "Analysis of the trends of Korea tourism. 2014 trends in travel & tourism" KCTI 2014

      41 Garin-Munoz, T., "An econometric model for international tourism flows to Spain" 7 (7): 525-529, 2000

      42 Artus, J. R., "An econometric analysis of international travel" 19 (19): 579-614, 1972

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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.95 1.95 1.84
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      1.82 1.8 2.18 0.68
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