Trends and Perspectives Regarding the Evolution of the Concept of Economic Intelligence within the Context of the Economic Crisis
The research aims to develop and certify a demand model of analyst length of stay performance that supports the spending behaviour of international tourists’ arrivals in India based on Count Model estimation both poison regression analysis and negative binomial regression analysis. 242 questionnaires were collected from international tourists’ arrivals in India during the 2010-2011. The India’s international tourists from many countries such as USA, UK, France, Australia, Italy, Japan Malaysia, Singapore, Nepal, Sri Lanka, Netherlands, China and South Korea. The Count Model estimation obtained from respondents. The Poisson Regression result was shown that 4 of the 24 repressors are statistically significant at the conventional significant levels. However, this estimation did not allowed specification of the regression model generating over-dispersed. Consequently, the estimation cannot be used to describe Indian international tourism demand. Moreover, the negative binomial regression was tested for Indian international tourism demand.
Volume (Year): 2 (2012)
Issue (Month): 2 (April)
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- Christine Lim & Michael McAleer, 2003. "Modelling International Travel Demand from Singapore to Australia," CIRJE F-Series CIRJE-F-214, CIRJE, Faculty of Economics, University of Tokyo.
- Christine Lim & Michael McAleer, 2000. "A seasonal analysis of Asian tourist arrivals to Australia," Applied Economics, Taylor & Francis Journals, vol. 32(4), pages 499-509.
- Kulendran, N. & King, Maxwell L., 1997. "Forecasting international quarterly tourist flows using error-correction and time-series models," International Journal of Forecasting, Elsevier, vol. 13(3), pages 319-327, September.
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