AUTHORS: Luisa Stracqualursi, Patrizia Agati
Download as PDF
ABSTRACT: Planning and implementing strategies and programs to develop tourism has long been a priority issue for policy makers and decision makers. Hence, the interest in quantitative methods for assessing the extent to which possible modifications of some determinants can affect the tourism flows of the destination country. Besides, over the last decades, in Italy as well as in many other destinations worldwide, most of policy makers have shifted their priority from the promotion of inbound tourism to the promotion of domestic tourism. In this framework, the present study builds on a regional dataset and implements a beta regression model with a twofold aim: to investigate the relevance and the statistical significance of some determinants of Italian domestic tourism, and the extent to which possible modifications in such determinants can affect the tourism flows across the Italian regions.Among the several factors, the model showed the number of accommodation facilities, the number of great shopping centres and the hospital density as statistically significant, showing a good explained variation and a reasonable root mean square error. On this basis, simulation studies were performed to assess the impact of new investments, such as new accommodation facilities and new congress centres on local tourism flows.
KEYWORDS: Domestic tourism, Beta model, Tourism flow, Italian regions
REFERENCES:
[1] Bonetti E., Cercola R., Izzo F., Masiello B., Eventi e strategie di marketing territoriale. Gli attori, i processi e la creazione di valore Franco Angeli Edizioni, 2017.
[2] Cook, D.O., Kieschnick, R., McCullough, B.D., Regression analysis of proportions in finance with self selection, Empirical Finance, 15, 2008, pp. 860
[3] Cribari-Neto,F., Zeileis,A., Beta Regression in R., Journal of Statistical Software, pp. 1–24.
[4] Ferrari, S.L.P. and Cribari-Neto, Beta regression for modeling rates and proportions, Journal of Applied Statistics, 31, 2004, pp. 799-815 cator, ranging from zero to one. It research: for study whether and how the technique can be extended to apply to ego network of Calabria, before (a) and after Bonetti E., Cercola R., Izzo F., Masiello B., strategie di marketing territoriale. Gli attori, i processi e la creazione di valore. Cook, D.O., Kieschnick, R., McCullough, B.D., Regression analysis of proportions in finance with self selection, Journal of , 15, 2008, pp. 860–867. Neto,F., Zeileis,A., Beta Regression in Software, 34,1,2010, Neto, Beta regression for modeling rates and proportions, , 31, 2004, pp.
[5] Grun, B., Kosmidis I. and Zileis A., Extended beta regression in R: shaken, stirred, mixed, and partitioned, Journal of Statistical Software 48, 11, 2012, pp. 1-25.
[6] Pierret F. (2011) Some points on Domestic Tourism. http://unwto.org/en/opinion/some pointsdomestic-tourism
[7] Patuelli R., Mussoni M., Candela G. (2013) The effect of World Heritage Sites on Domestic Tourism: a Spatial Interaction Model for Italy RCEA Working paper.
[8] Simas, A.B., Barreto-Souza, W., and Rocha, A.V., Improved Estimators for a General Class of Beta Regression Models. Statistics and Data Analysis 348-366.
[9] Smithson, M. and Verkuilen, J., A better l squeezer? Maximum likelihood regression with beta-distributed dependent variables. Psychological Methods, 11, 2006, pp. 54
[10] UNWTO (1994) Recommendations on Tourism Statistics. Statistical Papers. UNWTO, New York Grun, B., Kosmidis I. and Zileis A., Extended beta regression in R: shaken, stirred, mixed, Journal of Statistical Software, Pierret F. (2011) Some points on Domestic http://unwto.org/en/opinion/somePatuelli R., Mussoni M., Candela G. (2013) The effect of World Heritage Sites on Domestic Tourism: a Spatial Interaction Model for Italy. Souza, W., and Rocha, A.V., Improved Estimators for a General Class of Beta Regression Models. Computational Statistics and Data Analysis, 54, 2, 2010, pp. Smithson, M. and Verkuilen, J., A better lemon squeezer? Maximum likelihood regression with distributed dependent variables. , 11, 2006, pp. 54-71. UNWTO (1994) Recommendations on Tourism Stat