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The relevance of this study stems from the importance of Russia's coastal regions for the development of the national economy and foreign economic ties. There are significant differences between coastal regions, which should be taken into account when devising a regional development policy. The article aims to identify specific features of Russia's coastal regions, compare them with other national regions, provide a typology of them, and identify possibilities and areas of their socioeconomic development. The author employs theoretical and empirical methods of classifying regions within J. Friedmann's theoretical framework. The article distinguishes between five socioeconomic types and a number of subtypes of Russian regions and identifies key areas of development for each types. The author's conclusions can be used for formulating the regional policy of Russia and development policies of its regions.

The priorities set by the European Commission for Programming Period 2014-2020 introduced new instruments supporting regional development but also posed new requirements that must be met by European regions. One of them is smart specialization. To implement Strategy for Europe 2020, published by the European Commission in 2010, EU Member States and their regions develop strategies for smart specialization that will show directions for providing support to the strengthening of research, development and innovation. Smart specialization is an important instrument for creating a strategy for the development of innovation at the state and regional level as well as for defining and building the knowledge-based economy. This paper presents analyzes of processes responsible for identifying smart specialization in West Pomeranian and Pomeranian Regions. This article is a continuation and extension of the research on the process of emergence of smart specialization in Pomeranian Region by the inclusion of the West Pomeranian Region into this study. Both Regions are situated on the southern coast of the Baltic Sea and are seats of main Polish harbours and shipyards. Their regional capitals Gdansk and Szczecin are emerging metropolitan areas as well as economic engines of polish economy. It is our goal to analyze to what extent emergence of smart specialization is helping to focus development of innovation in areas consistent with their endogenous potentials. The aims of the paper are: comparison of the areas of smart specialization with particular emphasis on the specifics of the seaside location and endogenous potential of both regions, comparison of emergence and the process of selection of smart specialization, including its evaluation. In Pomeranian region the process of emergence of smart specialization was a bottom-up one where Regional Government invited all actors to build a partnership. The result is participation of all stakeholders to identify opportunities and specify areas of development of smart specializations for the Voivodship. In other regions of Poland it was more of a top-down process, conducted by experts and the West Pomeranian Region is an example of this approach. Methodology of the research applied for this study is desk research (analysis of literature, documents and strategies from Voivodeship Marshal Offices from both West Pomeranian and Pomeranian Regions), individual in-depth interviews, participation in the process of emerging of smart specialization in Pomorskie Voivodeship (focus group interviews, workshops, SWOT analysis and Delphi study) and comparative analysis of the process of emergence and selection of the smart specialization in both regions.

The present paper studies the effects of seasonality and spatiality of tourist flows on the regional performance of tourism sector. The empirical analysis is conducted for 37 coastal North Mediterranean EU NUTS II regions, for the period 2010-2016, and is based on a triplet of quantitative indices and on a two-version regression model. The empirical analysis demonstrates that a typical linear function seems to be inappropriate to describe the relationships of these tourism features, as an N-shaped relationship between performance and seasonality and a U-shaped relationship for performance and spatiality were found.

Coastal regions are territorial social systems whose socio-economic and innovative development is strongly influenced by the factor of coastalisation. The effect of movement to the sea determines the dynamics of settlement systems as well as their economic and infrastructure development. This holds for transport, logistics, information and communications, industrial, and other infrastructure. Coastal regions are so diverse that it is impossible to construct a development model that will fit all of them. One can speak only of general trends. This study focuses on identifying differences between the innovation systems of northern and southern coastal regions within the same country. The geographical scope of the study is four Russian coastal territories: Murmansk and Arkhangelsk in the Baltic Sea region and Rostov and Krasnodar in the Azov-Black Sea region. Methodologically, this study carries out a comparative assessment of heterogeneity of innovative development at municipal and interregional levels, using four groups of indicators: human capital, economic growth and clustering, innovation and digitalisation, and quality and standards of living. All these components are vital for regional innovative development. A statistical assessment is supplemented by a qualitative analysis of spatial patterns of innovation capital accumulation; the agglomeration factor is taken into account. It is shown that northern and southern coastal regions perform very differently on innovative development, the latter doing better than the former. Three main models of innovation generation, implementation, and accumulation of coastal regions are described. Each is associated with a different way to benefit from proximity to the sea. These are maritime activities, maritime transport, and the economic use of recreational, natural and climatic resources.

The village, which is located in the Coastal District of Jailolo, West Halmahera, had a considerable impact from the earthquake. This is because the earthquakes that occur are influenced by tectonic earthquakes due to the movement and collision of tectonic plates on land and the seabed. If the collision causes a fault in the seabed, a tsunami can occur. The purpose of this study was to analyze the risk of earthquake disasters in supporting development planning and to produce an earthquake risk map for the coastal area of Jailolo District, West Halmahera. The analytical method used is descriptive quantitative, and the data collection model is a questionnaire with random sampling. The results obtained are in the form of a hazard value using the PGA value and produce the same PGA value, namely > 0.70 gal with a high category for Bobanehena Village, Saria Village, Payo Village, Bobo Village, and Idamdehe Village. The value of vulnerability (physical, social, and economic vulnerability) shows that Bobanehena Village has a high vulnerability index value with a score of 1.9. The capacity index value for the five villages has the same score of 3 and is included in the high class. So that the value of the earthquake risk level with a high class is obtained, namely in Bobanehena Village and Bobo Village. The high level of risk in the two villages is influenced by the frequency of occurrence of earthquakes with high intensity in the area, the impact of losses due to earthquakes is quite high. Earthquake risk reduction efforts will be maximized if a comprehensive earthquake risk assessment analysis is carried out and a commitment from the Government is carried out.