TOURISM DEMAND FORECASTING IN CYPRUS: EVIDENCE FROM BOTH DIVIDED REGIONS

被引:0
|
作者
Katircioglu, S. [1 ]
Yorucu, V. [1 ]
机构
[1] E Mediterranean Univ, Famagusta, Turkey
来源
ACTUAL PROBLEMS OF ECONOMICS | 2009年 / 101期
关键词
tourism demand; bounds test; error correction model; Cyprus; UNIT-ROOT; TIME-SERIES; EMPIRICAL-EVIDENCE; COINTEGRATION; CHINA; CAUSALITY;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study forecasts tourism demand in the divided Cyprus using the latest econometric techniques. Results reveal that mainland of both sides (Turkey and Greece) in Cyprus are the major determinants of tourist arrivals to the island. Germany is also an important tourist destination for the South Cyprus as investigated by the bounds test to cointegration and error correction models. Tourism demand forecasting using tourist arrivals from the UK to the whole Cyprus did not provide significant results. Short-term estimations from error correction models have proved that real income and relative prices are significant determinants of tourist arrivals to the both parts of Cyprus except the case of German tourist arrivals to the South Cyprus. Conditional Granger causality tests confirmed causation that runs from real income and relative prices to tourist arrivals from mainlands of Turkey and Greece to both parts of Cyprus in the long-term.
引用
收藏
页码:264 / 275
页数:12
相关论文
共 50 条
  • [1] Terrorist incidents and tourism demand: Evidence from Greece
    Samitas, Aristeidis
    Asteriou, Dimitrios
    Polyzos, Stathis
    Kenourgios, Dimitris
    TOURISM MANAGEMENT PERSPECTIVES, 2018, 25 : 23 - 28
  • [2] A Dynamic Analysis of Retail Infrastructure and Tourism Demand: Evidence from a Casino Destination
    Sou, Joey Pek U.
    JOURNAL OF CHINA TOURISM RESEARCH, 2023, 19 (02) : 359 - 377
  • [3] Forecasting tourism demand by disaggregated time series - empirical evidence from Spain
    De Oliveira Santos, Glauber Eduardo
    TOURISM ECONOMICS, 2009, 15 (02) : 467 - 472
  • [4] Density tourism demand forecasting revisited
    Song, Haiyan
    Wen, Long
    Liu, Chang
    ANNALS OF TOURISM RESEARCH, 2019, 75 : 379 - 392
  • [5] A review of research on tourism demand forecasting
    Song, Haiyan
    Qiu, Richard T. R.
    Park, Jinah
    ANNALS OF TOURISM RESEARCH, 2019, 75 : 338 - 362
  • [6] Determinants of international tourism demand: Evidence from Australian states and territories
    Shafiullah, Muhammad
    Okafor, Luke Emeka
    Khalid, Usman
    TOURISM ECONOMICS, 2019, 25 (02) : 274 - 296
  • [7] Forecasting tourism demand with denoised neural networks
    Silva, Emmanuel Sirimal
    Hassani, Hossein
    Heravi, Saeed
    Huang, Xu
    ANNALS OF TOURISM RESEARCH, 2019, 74 : 134 - 154
  • [8] Forecasting Tourism Demand with Decomposed Search Cycles
    Li, Xin
    Law, Rob
    JOURNAL OF TRAVEL RESEARCH, 2020, 59 (01) : 52 - 68
  • [9] Bayesian bootstrap aggregation for tourism demand forecasting
    Song, Haiyan
    Liu, Anyu
    Li, Gang
    Liu, Xinyang
    INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2021, 23 (05) : 914 - 927
  • [10] Forecasting tourism demand with multisource big data
    Li, Hengyun
    Hu, Mingming
    Li, Gang
    ANNALS OF TOURISM RESEARCH, 2020, 83