The relationship between tourist demand and supply is investigated employing four time series models. To test for Granger causality a bivariate vector autoregression framework is used. Empirical results from each model are derived for the island of Sardinia (Italy) over the time span 1955 to 2004. The first model suggests supply is demand-driven; the second model implies a bi-directional Granger-causal relationship between demand and capacity. The third and fourth models indicate demand is quality-driven. This empirical finding implies that an environmental conservation policy may be feasible without compromising the number of tour- ists visiting Sardinia and hence its economic growth.
Bivariate Var Models to Test Granger Causality between Tourist Demand and Supply: Implications for Regional Sustainable Growth / Biagi, Bianca; Pulina, Manuela. - In: PAPERS IN REGIONAL SCIENCE. - ISSN 1056-8190. - 88:1(2009), pp. 231-244. [10.1111/j.1435-5957.2008.00176.x]
Bivariate Var Models to Test Granger Causality between Tourist Demand and Supply: Implications for Regional Sustainable Growth
BIAGI, Bianca;PULINA, ManuelaFormal Analysis
2009-01-01
Abstract
The relationship between tourist demand and supply is investigated employing four time series models. To test for Granger causality a bivariate vector autoregression framework is used. Empirical results from each model are derived for the island of Sardinia (Italy) over the time span 1955 to 2004. The first model suggests supply is demand-driven; the second model implies a bi-directional Granger-causal relationship between demand and capacity. The third and fourth models indicate demand is quality-driven. This empirical finding implies that an environmental conservation policy may be feasible without compromising the number of tour- ists visiting Sardinia and hence its economic growth.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.