Rural areas and peripheral borderland territories are experiencing socio-economic marginalization featuring depopulation, population aging, and an increasing inequality gap in the quality of life compared to cities. Integrated rural tourism is argued to be ideal for supporting the well-being of rural communities, providing an additional income, decreasing unemployment, offering new and appealing jobs out of traditional rural activities, while preserving the conventional lifestyle. In this study, we discovered the tourism capacity of rural borderland territories affected by cross-border tourism using the data on the geography of cross-border movements, the distribution of tourist sights, and the density of tourist accommodation facilities. The geographical scope of the study covered two cross-border coastal regions—the Russian–Polish region on the Baltic Sea and the Russian–Kazakh region on the Caspian Sea. The statistical and geoinformation analysis were used to allocate areas of prospecting rural tourism integrated with cross-border movement. The research results on the development and distribution of tourist infrastructure suggest that: the rural territories of these regions feature tourist attractions and accommodation facilities at a different level of density and remoteness from the border crossing; each cross-border region is featuring different types of travel restrictions for tourists; and both border-land territories show asymmetry by the more active Russian tourists traveling abroad. Each of the regions under consideration is attractive for cross-border tourism while having different degrees of penetration of tourist flows into the interior territories and coverage of rural areas. The study resulted in a tourist flow model that allows integrating rural areas.
Marine and ocean coasts traditionally act as natural growth poles for humankind. Recent studies conducted by scholars from both natural and social sciences suggest that coastal zones accumulate population, agglomerate industries, attract entrepreneurs, and pull investments. The coastalisation effect remains one of the defining factors of regional development around the globe and is projected to strengthen over the next quarter century. Deepening socio-economic inequality and polarisation between countries and regions despite efforts taken with convergence policies put the “marine factor” on the research agenda. The study contains a comparative evaluation of coastalisation processes across the regions of Europe using remote-sensing technology and statistical multivariate analysis for testing the correlation level of results. The research is based on a dataset for 413 regions of Europe featuring indicators for population density and Gross Regional Product (GRP) in Purchasing Power Parity (PPP) per sq. km. The regions are grouped into clusters depending on their socio-economic indicators and the intensity of nocturnal illumination. The results suggest that coastal and inland region types evenly distribute between clusters, with an average of 40% coastal. Observations of nocturnal illumination clearly indicate an extensive anthropogenic impact on European coasts, both northern and southern. However, their overall luminosity is inferior to inland territories. The study concludes with four patterns derived from a combined methodology of socio-economic indicators and remote-sensing of night-time lighting.
The COVID-19 pandemic has had an unprecedented impact on both national economies and everyday life. Massive lockdowns and a shift towards digital technologies forced people to adapt to technological innovations in their daily routines in a new online format. In this study we identify patterns of change in the population's adoption of and receptiveness to digitalization. The focus is on registering the expansion of digital routines influenced by the coronavirus depending on the place of residence, infrastructure and demographics. The results of a population survey held in August 2020 across all municipalities of the Kaliningrad region of Russia suggest that the magnitude of the pandemic's effect in accelerating digitalization is different for various population types. Most receptive to digital innovations are residents of economically developed municipalities aged 26-40 with higher education having a stable Internet connection at a fair price. The article presents a typology of municipalities on the adoption of and receptiveness to innovation. It is shown that without the established infrastructure, technological, economic, cultural and behavioural basis, the acceleration of digitalization does not occur.
Coastal regions are generally conceived as highly advanced in terms of socioeconomic and innovative development. Acting as international contact zones, coastal agglomerations are described as gateways for absorbing new knowledge, technologies, business cultures, etc. Yet, this perception is based on studies of large coastal cities and agglomerations. In our study, we focus on coastalization effects manifested in rural settlements and evaluate the innovation capability of the economies of coastal rural areas. The research scope covers 13 municipalities of the Leningrad region, including 134 rural settlements. The research methodology is structured into three main blocks: the evaluation of the human capital, assessment of the favorability of the entrepreneurial environment, and analysis of susceptibility of local economies to innovations. The list of analyzed innovation dynamics parameters includes the geospatial data for the distribution of population, companies and individual entrepreneurs, localization of specialized support and innovation infrastructure, sectoral analysis of the economic structure, digitalization aspects, et cetera. The data coverage period is 2010–2019 with variations depending on the availability of individual indicators. The research findings reveal particular features of the countryside as compared to urban settlements. Strong asymmetries are observed between the development of rural settlements cross-influenced by coastalization, near-metropolitan location, and national border proximity.
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