Domestic tourism as a development factor

Archer, Brian H., “Domestic Tourism as a Development Factor”, Annals of Tourism Research, Vol. V, No. 1, January/March 1978, pp. 126–141. Domestic tourism brings about an intermingling of people from diverse social and cultural backgrounds and also a considerable redistribution of spending power. Although this paper concentrates mainly upon the economic effects created by the growth of domestic tourism and is illustrated by reference to some recent case studies, attention is also drawn to the favorable and unfavorable political, social, cultural, moral, environmental and conservational aspects of domestic tourism. The paper concludes by discussing some ways in which domestic tourism can provide an impetus to further economic growth in the holiday regions and also how domestic tourism may assist in solving some of the problems facing a country's international tourism.     

Ownership Duration in the Residential Housing Market: The Influence of Structure,Tenure, Household and Neighborhood Factors

Turnover rates are important as determinants of the level of activity in housing related industries, in effecting housing market adjustments, and in revealing prices in illiquid, highly segmented, informationally inefficient housing markets. This study examines the relative influence of structure features, tenure, household characteristics and neighborhood factors on ownership turnover rates. The study exploits a Chicago database of just under 50,000 paired sales of attached housing units, with at least one of the sales occurring between 1992 and June of 2002. Within the framework of a Cox proportional hazard model, we focus on a number of factors affecting turnover rates, including whether the housing unit is owner-occupied or rented at the time of sale, price at the time of sale, unit size, age, location in a tax increment financing district, housing density, structure size, year of sale, and neighborhood within Chicago (by Community Area). Finding strong spatial segmentation in turnover (hazard) rates, we further examine the capacity of four sets of Census-derived variables to explain the spatial variation. The household characteristics offer decidedly the strongest power in explaining the segmentation. Results from the hazard model, combined with results from the analysis of spatial variation suggest a household life cycle model of variation in turnover rates.     

The European Union and Kaliningrad: Taking the Low Road

there is no abstract     

Tourism in Mauritius: an economic impact study with marketing implications

Tourism impact analysis is traditionally used to measure the volume of income, employment, public sector revenue and imports generated in a holiday area by tourist spending and to calculate the differential impacts made by visitors from various origins. This article on Mauritius shows how such analysis can provide useful marketing information to help maximize the economic impact of tourism in a small-island economy.