Elaboration and approbation of methodology for estimating the region-wide economic significance of tourism in national parks of the regions of Latvia
2012
Berzina, I., Latvia Univ. of Agriculture, Jelgava (Latvia). Faculty of Economics;Vidzeme Univ. of Applied Sciences, Valmiera (Latvia). Sociotechnical Systems Engineering Inst.
The aim of the paper is to present the estimating methodology and its approbation results concerning economic significance of tourism in the regions of NPs of Latvia that is included in the author’s PhD thesis “Assessment of Economic Significance of Tourism in the Regions of National Parks in Latvia”. It is based on the problem – lack of previous determined diagnosis for sustainable tourism planning. The research hypothesis: economic significance of tourism in the NPs regions of Latvia is statistically significant. The methods used in the research: scientific and applied literature studies; surveys of NPs visitors and entrepreneurs; and data analysis using approaches of an economic impact (EI) estimates and single factor dispersion analysis for determination of statistical significance of results. The main conclusions: 1) several estimating approaches for tourism economic importance exist in the world and they are based on the main components: research goals, questions, territory, used types of analysis, verification of the acquired results, and understanding of results using fields; 2) an appropriate methodology has been elaborated for Latvia and it has been approbated in tourism of the NPs regions; 3) in 2010, tourism in Latvian NPs regions created more than LVL 50.12 million of economic significance, thus, the result is more than 81 times larger than the governmental allocations for implementation of tourism policy and its development in 2010; 4) the amount of tax revenues from tourism in local municipalities of NPs regions ranges from 2.1% to 7.57%; these are statistically significant indicators; 5) improvements in the terms of the elaborated methodology are not necessary, yet, they enhance the necessity for pre-conditions relating to data periodicity, accumulation, detalisation, and availability.
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