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Sustainable Rural Tourism of Lower Danube Region in Serbia

Challenges and Realities
Authors: Snežana Štetić; Sanja Pavlović; Sara Stanić Jovanović;

Sustainable Rural Tourism of Lower Danube Region in Serbia

Abstract

Sustainable tourism implies preserved space, prevents ecological and socio-cultural devastation, but at the same time encourages tourism development. Their application and adequate implementation increases the chance of a tourist destination that will be able to develop sustainable tourism, so the aim of this paper is to separate characteristics and principles of sustainability on certain areas and to show their advantages and limitations. In this paper are introspected factors of tourism development, both in a positive and in a negative context. It was hypothesized that sustainable rural tourism in the Lower Danube region has a comparative advantage, but it is also a major challenge for the community. Methodological setting is qualitative, based on the contextual dimension of the data, empirical observations, exploratory research and observations. Obtained results show that the tourist offer of sustainable rural tourism in the Lower Danube region has its own unique values, which should continue to explore.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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