A Panel Data Regression Analysis. Vol 11, Issue 3, pp. Download Citation If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Via Email All fields are required. Send me a copy Cancel. Request Permissions View permissions information for this article. See all articles by this author Search Google Scholar for this author. Keywords Africa , tourism , tourism arrivals , panel data regression. Please click here for full access options.
Remember me Forgotten your password? Subscribe to this journal. Vol 11, Issue 3, It has been widely accepted that tourism is a low investment, high return industry making its profitability extremely high. Mexico owns many tourist attractions of different types.
For example, Mexico has world renowned beaches and resorts, such as Cancun or Los Cabos. It also has many colonial cities, which mix a classic Spanish-European type architecture with an indigenous touch. Ancient ruins of lost civilizations still persist in the central and southern areas of the country. With all this and more Mexico has much to offer for international tourists. International tourist flows have increased amazingly since the 60's and 70's creating a market that is tremendously important on a global level.
It is an industry that can be common to both developed and less developed nations. Mexico, being one of the top tourist destinations in the world has seen this growth first hand, and seemingly has also done very well in this respect. These destinations represent a tax income of over million dollars per year. Obviously, there are many people who believe that this industry also brings many disadvantages to having a strong tourism sector. There are many negative factors to consider: Also there are some distributive issues that should be assessed although none of these matters will be touched in the rest of this paper.
We focus on measuring performance so it is necessary to know what variables have some kind of explanatory properties. A logical question arises: What factors determine growth of tourism industry?
In the literature found, that speak of this topic; we see estimations, basically defining the demand side of the equation. We may infer that is because of the difficulties that are represented by the development of a production function for this service oriented industry although it is possible to estimate. The objective of this investigation is to try to explain the behavior of the industry.
We try to find the determinants of income growth in the tourism sector for Mexico.
APPROACHES TO STUDYAPPROACHES TO STUDY TOURISM DEMANDTOURISM DEMAND Economists-Economists- Demand measured inDemand measured in monetary returns gained within a periodmonetary returns gained within a period of time. Price, elasticity, quality, revenueof time.
This article is a short survey of research carried out into the principal economic factors influencing the demand for tourism services. It is clear that sociological variables such as age, occupation and educational level also play a role in influencing total demand, but there is evidence that sociological variables may be more significant in determining the destination or the type of tourism.
Determinants of International Tourism1 Prepared by Alexander Culiuc Authorized for distribution by Athanasios Arvanitis May Abstract The paper estimates the impact of macroeconomic supply- and demand-side determinants of tourism, one of the largest components of services exports globally, and the backbone of many smaller economies. TOURISM MANAGEMENT December Determinants of demand for international tourist flows to Turkey Multicollinearitv The majority of the individual models had a relatively high R2 with significant coefficients. That is. the probability of multicollinearitv existing was minimal.
The study expose that, the determinants of tourism demand are those factors with propensities to shape the nature and pattern of a population's demand for holiday and travel. It can also explain. The elasticity of tourism with respect to GDP of the origin (importing) country is lower than for goods trade. Tourism flows respond strongly to changes in the destination country’s real exchange rate, along both extensive (tourist arrivals) and intensive (duration of stay) margins.