Numerous studies focus on the determinants of choices regarding tourism consumption utilizing several methods,different data sources,with diverse results.And the notion of considering nationality as an influential fac...Numerous studies focus on the determinants of choices regarding tourism consumption utilizing several methods,different data sources,with diverse results.And the notion of considering nationality as an influential factor in tourism expenditure has been considered very often in the literature.This work examines this relationship between nationality and tourism expenditure by means of a thematic review approach.The results suggest the critical role played by nationality in understanding the determinants of tourism expenditure.展开更多
The vast majority of tourism forecasting studies have centered on tourist arrivals at an aggregated level.Little research has been done of forecasting tourist expenditure at a national level let alone at a regional le...The vast majority of tourism forecasting studies have centered on tourist arrivals at an aggregated level.Little research has been done of forecasting tourist expenditure at a national level let alone at a regional level.This study uses expenditure data to assess the relative economic impact of tourism into regional areas.By comparing five time-series models(the Na?ve,Holt,ARMA and Basic Structural Model(BSM)with and without intervention),and three econometric models(the Vector Autoregressive(VAR)model and the Time Varying Parameter(TVP)with and without intervention),the study sought to find the most accurate model for forecasting tourism expenditure two years ahead for each of the 31 provinces of China's Mainland.The results show that TVP models outperform other time series and econometric models.The research also provides practical management outcomes by providing methods for forecasting tourist expenditure as an indicator of economic growth in China’s provinces.The research concludes with the findings on the most appropriate model for regional forecasting and potential new variables suitable at the regional level.展开更多
文摘Numerous studies focus on the determinants of choices regarding tourism consumption utilizing several methods,different data sources,with diverse results.And the notion of considering nationality as an influential factor in tourism expenditure has been considered very often in the literature.This work examines this relationship between nationality and tourism expenditure by means of a thematic review approach.The results suggest the critical role played by nationality in understanding the determinants of tourism expenditure.
文摘The vast majority of tourism forecasting studies have centered on tourist arrivals at an aggregated level.Little research has been done of forecasting tourist expenditure at a national level let alone at a regional level.This study uses expenditure data to assess the relative economic impact of tourism into regional areas.By comparing five time-series models(the Na?ve,Holt,ARMA and Basic Structural Model(BSM)with and without intervention),and three econometric models(the Vector Autoregressive(VAR)model and the Time Varying Parameter(TVP)with and without intervention),the study sought to find the most accurate model for forecasting tourism expenditure two years ahead for each of the 31 provinces of China's Mainland.The results show that TVP models outperform other time series and econometric models.The research also provides practical management outcomes by providing methods for forecasting tourist expenditure as an indicator of economic growth in China’s provinces.The research concludes with the findings on the most appropriate model for regional forecasting and potential new variables suitable at the regional level.
