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Victoria University

Forecasting international regional tourist arrivals to China

Abstract

dc:description.abstract

This study develops models to forecast international arrivals to regional China, using time series as well as causal explanatory methods. The nine quantitative forecast methods applied in this study are Holt, Exponential Smoothing, Naïve, ARMA, Neural, and Basic Structural Model (BSM) with and without intervention, and the causal explanatory forecast models are the Time-Varying Parameter (TVP) with and without dummy variables. This research has demonstrated a pressing need for advancing and expanding, international tourism forecasting from the current national based approach, to include regional forecasting.

Degree

thesis:*
Name dc:type.qualificationname
phd
Level dc:type.qualificationlevel
doctoral
Grantor dc:publisher.institution
Victoria University
Year dc:date.issued
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zhou-Grundy, Yvonne

Subjects

dc:subject × 2

Rights

Language dc:language
en

Chain of custody

source
Harvested from
Victoria University (Australia)
Base URL
vuir.vu.edu.au/cgi/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Zhou-Grundy, Yvonne. Forecasting international regional tourist arrivals to China. doctoral thesis, Victoria University, 2011.