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	Provedor de dados AgEcon (2) Autor Balogh, Peter (1) Chaiboonsri, Chukiat (1) Chaitip, Prasert (1) Kovacs, Sandor (1) Tisdell, Clement A. (1) Palavra-chave International tourism (2) Agricultural and Food Policy (1) Australia (1) China (1) Foreign direct investment (1) Globalisation (1) India (1) International Development (1) International Relations/Trade (1) International trade (1) Research Methods/ Statistical Methods (1) Thailand (1) The best forecasting methods (1) X-12-ARIMA (1) Mais... Tipo do documento Journal Article (1) Working or Discussion Paper (1) Ano 2009 (1) 2004 (1) País United States (2) Idioma Alemão (1) Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Tourism Development as a Dimension of Globalisation: Experiences and Policies of China and Australia AgEcon Tisdell, Clement A.. Both China and Australia have participated in the process of growing economic globalisation in recent decades. This paper compares trends in the openness of China’s and Australia’s economy in terms of international trade and foreign direct investment, and then examines global trends in international tourism. This dimension of growing globalisation indicates an accelerating trend in the second half of the 20th century. The article shows how China was able to take advantage of this trend as a consequence of its economic reforms and opening up to the outside world. A mini-case study of the expansion of China’s tourism industry and its evolving policy framework is provided. Australia also has obtained significant growth in its tourism industry in recent... Tipo: Working or Discussion Paper Palavras-chave: Globalisation; China; Australia; International trade; Foreign direct investment; International tourism; International Relations/Trade. Ano: 2004 URL: http://purl.umn.edu/90535 Forecasting with X-12-ARIMA: International tourist arrivals to India and Thailand AgEcon Balogh, Peter; Kovacs, Sandor; Chaiboonsri, Chukiat; Chaitip, Prasert. Forecasting is an essential analytical tool in tourism policy and planning. This paper focuses on forecasting methods based on X-12-ARIMA seasonal adjustment and this method was developed by the Census Bureau in the United States. It has been continually improved since the 1960s, and it is used by many statistics agencies and central banks. The secondary data were used to produce forecasts of international tourist arrivals to India for 2007-2010 and also these data were used to produce forecasts of international tourist arrivals to Thailand for 2006-2010. From these period the results confirm that the best forecasting method based on the X-12-ARIMA seasonal adjustment is X-12-ARIMA(0,1,2)(0,1,1), X-12-ARIMA(0,1,1)(0,1,1) and X-12-ARIMA(2,1,0)(0,1,1) for... Tipo: Journal Article Palavras-chave: India; Thailand; International tourism; X-12-ARIMA; The best forecasting methods; Agricultural and Food Policy; International Development; Research Methods/ Statistical Methods. Ano: 2009 URL: http://purl.umn.edu/49226 Registros recuperados: 2 Primeira ... 1 ... Última

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