全球智库信息集成服务系统(G2TT): Tourism and Economic Growth in Latin American Countries: A Panel Data Approach

G2TT

来源类型	FEEM working papers "Note di lavoro" series
规范类型	论文
	Tourism and Economic Growth in Latin American Countries: A Panel Data Approach
	Juan Luis Eugenio Martín; Noelia Martín Morales; Riccardo Scarpa
发表日期	2004
出处	Climate Change and Sustainable Development
出版年	2004
语种	英语
摘要	We consider the relationship between tourism and economic growth for Latin American countries since 1985 until 1998. The analysis proposed is based on a panel data approach and the Arellano-Bond estimator for dynamic panels. We obtain estimates of the relationship between economic growth and growth in tourists per capita conditional on main macroeconomic variables. We show that the tourism sector is adequate for the economic growth of medium or low-income countries, though not necessarily for developed countries. We then invert the causality direction of the analysis. Rather than explaining economic growth, we try to explain tourism arrivals conditional on GDP and other covariates such as safety, prices and education level, and investment in infrastructures. We employ a generalised least squares AR(1) panel data model. The results provide evidence that low-income countries seem to need adequate levels of infrastructures, education and development to attract tourists. Medium-income countries need high levels of social development like health services and high GDP per capita levels. Finally, the results disclose that price of the destination, in terms of exchange rate and PPP is irrelevant for tourism growth.
特色分类	L83,O40,C33,O54
关键词	Tourism,Economic growth,Panel data
URL	https://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/tourism-and-economic-growth-in-latin-american-countries-a-panel-data-approach/
来源智库	Fondazione Eni Enrico Mattei (Italy)
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/116978
推荐引用方式 GB/T 7714	Juan Luis Eugenio Martín,Noelia Martín Morales,Riccardo Scarpa. Tourism and Economic Growth in Latin American Countries: A Panel Data Approach. 2004.