Do volatilities in tourism arrivals and foreign aids matter for GDP volatility in Cambodia? Partial and vector coherence wavelet models

• Narasingha Das ^[1] ; Partha Gangopadhyay ^[2] ; Cem Işık ^{[1] [3]} ; Rafael Alvarado ^[4] ; Munir Ahmad ^[5]
  1. [1] Lebanese American University

     Lebanese American University

     Líbano

     
  2. [2] University of Western Sydney

     University of Western Sydney

     Australia

     
  3. [3] Anadolu University

     Anadolu University

     Turquía

     
  4. [4] Universidad de Especialidades Espíritu Santo

     Universidad de Especialidades Espíritu Santo

     Guayaquil, Ecuador

     
  5. [5] Ningbo University of Finance and Economics, China

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• Localización: Tourism economics: the business and finance of tourism and recreation, ISSN 1354-8166, Vol. 30, Nº. 6 (Septiembre), 2024, págs. 1624-1633
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • The purpose of this research note is to investigate the nexus between volatility in international tourist arrivals, volatility in foreign aids and gross domestic product (GDP) volatility in Cambodia over the period of 1993–2018 by using partial and vector coherence wavelet models. The partial wavelet coherence models show that volatility in tourist arrival has strong impacts on GDP volatility across all time and frequency domains. Secondly, we find from the vector wavelet coherence plots strong and significant coherence between GDP volatility and volatility in overseas development assistance to Cambodia across all time and frequency domains.