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    题名: Are per capita international tourist arrivals converging?
    作者: Yi-Chen Lin;Wen-Shuenn Deng
    关键词: Tourism;Convergence;Distribution dynamics;Stochastic kernel;Nonparametric methods
    日期: 2018-09
    上传时间: 2018-10-18 12:11:07 (UTC+8)
    出版者: Elsevier
    摘要: This paper measures whether per capita tourist arrivals have converged across 149 countries over the period 1995–2014. We find that the distribution of per capita arrival has tightened over time, i.e., there was σ-convergence in tourism. Countries at the lower tail of the per capita international tourist arrival distribution have improved their relative position. Tests of absolute (conditional) β-convergence indicate that the average country's tourism catches up (approaches its steady-state) at a speed of 1.25% (10.56%) a year, supporting the tourism destinations convergence hypothesis. These findings are helpful for tourism enterprises when making multinational location decisions. For policymakers, convergence in per capita arrivals is informative as to the direction of structural transformation.
    關聯: International Review of Economics and Finance 57, p.274-290
    DOI: 10.1016/j.iref.2018.01.013
    显示于类别:[經濟學系暨研究所] 期刊論文


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