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EN
The main objective of the article was to improve the choice of the optimal variant of production technology by taking into account the factor of space. When selecting the optimal system of production technology for a specific good within the limits of a space, a two-stage procedure will be appropriate. The first stage consisting in the selection of technologies optimal for each site from a created list of possible production sites, which technologies, already assigned to a specific site, should be compared with each other by means of economic indicators - spatial competition of technology. The second stage will consist in the assessment, according to the criterion of market size, of those possible production sites already associated with the optimal production technology that were considered prospective in the first stage. Since different technologies can be optimal in different sites, the selection of the optimal production sites will also be the choice of the optimal technologies. In our opinion, this is the only way to guarantee the appropriate justification for the choice of optimal production technology systems for a specific good.
EN
The aim of this article is to indicate the most important factors determining the location of newly built hotels in Poland in 2000–2009, belonging to different groups in the hotel categorization system. We use a two-stage empirical study. The main statistical method applied is stepwise logistic regression with the backward elimination of regressors. The results of the study indicate clearly that there are differences between the location factors for hotels according to their standard. The factors determining the location of budget hotels differ from those influencing the group of medium standard and luxury hotels. The results contribute to a better understanding of the motives of investors when selecting a location and may have implications for economic policies, since they can focus the attention of local and regional authorities on important determinants of attractiveness to local investment.
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