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<doi_batch xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.crossref.org/schema/5.3.1" xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1" xmlns:fr="http://www.crossref.org/fundref.xsd" xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" version="5.3.1"><head><doi_batch_id>NONE</doi_batch_id><timestamp>20260610230519048</timestamp><depositor><depositor_name>Immanuel Kant Baltic Federal University</depositor_name><email_address>no-reply@balticregion.kantiana.ru</email_address></depositor><registrant>Immanuel Kant Baltic Federal University</registrant></head><body><journal><journal_metadata><full_title>Baltic Region</full_title><issn media_type="print">2079-8555</issn><issn media_type="electronic">2310-0524</issn></journal_metadata><journal_issue><publication_date media_type="print"><month>06</month><day>10</day><year>2026</year></publication_date><journal_volume><volume>13</volume></journal_volume><issue>1</issue></journal_issue><journal_article publication_type="full_text"><titles><title>Innovation performance of Russia’s Northwestern regions: a comparative evaluation</title><original_language_title>Инновационная деятельность регионов Северо-западного федерального округа: сопоставительный оценочный анализ</original_language_title></titles><contributors><person_name sequence="first" contributor_role="author"><given_name>A. Tretyakova</given_name><surname>E.</surname><ORCID>https://orcid.org/https://orcid.org/0000-0002-9345-1040</ORCID></person_name><person_name sequence="additional" contributor_role="author"><given_name>A. Noskov</given_name><surname>A.</surname><ORCID>https://orcid.org/https://orcid.org/0000-0002-0704-0932</ORCID></person_name></contributors><jats:abstract><jats:p>Innovative activities underpin the economic development and competitiveness of Russian regions. This article seeks to compare the innovation performance of Russia’s north-western regions, which are among the most progressive in the country, and their available resource. A review of the literature suggests that most Russian publications combine systems of composite indices with econometric and statistical approaches to evaluate regional innovation performance. The same methods are employed in this study. Comparative analysis indicates significant differences between the regions in both available resource and innovation advancements. Juxtaposing composite resource availability indices and innovation performance aided in devising a typology of regions and analysing changes in the position in a composite evaluation matrix. The findings demonstrate that Saint Petersburg and the Leningrad region comfortably outperform the other northwestern regions in innovation. Regression and correlation analysis reveals that innovation performance depends crucially on earlier achievements and currently available resources. The Novgorod region, however, is making headway without a marked change in the level of resources. 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S.</given_name><surname>Sorokin</surname><ORCID>https://orcid.org/https://orcid.org/0000-0002-9555-3294</ORCID></person_name></contributors><jats:abstract><jats:p>This article explores the spatial structure and development of settlements comprising the Saint Petersburg agglomeration. Previous studies and database sources, which were never used before (the Federal Tax Service [FTS] database and SPARK-Interfax), are analysed to reveal factors in the economic development of metropolitan areas as well as to understand how settlements develop in Russia’s second-largest city agglomeration. The borders and composition of the Saint Petersburg agglomeration are brought up to date. Examining the population size of the settlements helps locate the ‘growth belt’ of the agglomeration. Lists of major enterprises of the city and the region make it possible to identify patterns in the economic development of the study area. The SPARK-Interfax database aids in clarifying relationships between spatial elements of the agglomeration (its core and satellites) in the distribution of revenues of economic agents. Data on the location of the largest retail stores — shopping malls and hypermarkets — are used to identify the main centres of commerce in the Saint Petersburg agglomeration. A map chart has been drawn using 2GIS and Yandex Maps geoinformation services. An important step in agglomeration analysis is the identification of residential development hotspots. FTS data on property tax base are the main source of relevant information. FTS reports contain data on the number of residential buildings and units covered by the database. Further, FTS statistics is employed to trace income and job distribution across the study area. The current functions of settlement in the Saint Petersburg agglomeration have been determined. 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The vast size of the country makes it possible to trace differences in incoming tourist flows from neighbouring countries. This circumstance accounts for the novelty of this study, which lies in viewing national tourism geography from the perspective of the theory of transboundary tourism-and-recreation region building. Interregional differences in the structure of incoming tourist flows help identify the country’s cross-border tourism-and-recreation regions and delineate their borders. This research employs statistical and cartographic methods. The incoming tourist flow to Sweden grew steadily until 2020. However, the Covid-19 crisis has led to a drastic reduction in the number of incoming tourists. Based on the 2019 statistics, the findings confirm the existence of a developed transboundary tourism-and-recreation mesoregion that brings together Germany, Denmark, and Sweden. The formation boasts strong tourist links. 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V.</given_name><surname>Kondrateva</surname><ORCID>https://orcid.org/https://orcid.org/0000-0001-8832-9182</ORCID></person_name></contributors><jats:abstract><jats:p>This article considers international projects as a factor in building and developing transboundary tourism-and-recreation regions. The Karelian part of the Russian-Finnish border and the adjoining areas of Russia and Finland were the model site for the study. The research aims to measure the contribution of international projects run in 1990—2020 to transboundary region building in the Karelian borderlands. The analysis of 80 international municipal projects shows that they gave a boost to region building and development in the study area. Common trends and specific features of international projects carried out in Karelian municipalities have been identified in the context of transboundary tourism-and-recreation region building. 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Strong collaboration links, and competition in the Baltic Sea region, are an inherent feature of the region from the beginning of its civilization development. Since 2004, the Baltic Sea has become an internal sea of the European Union. This fact no doubt strengthened the cooperation of the countries in the region. In many spheres, these ties take the form of networking. The EU Strategy for the Baltic Sea Region is an important stimulus for further integrations. The objective of the article is to identify changing trends and the structural transformation in the Baltic integration process instigated by the implementation of this strategy. The document contains common goals, which strengthen cooperation and draw on the Baltic Sea potential. Three main pillars are outlined in the Strategy: marine protection, better interconnection of the region and growing prosperity. 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