A területi tőke koncepciója közel egy évtizede jelent meg a modern regionális tudomány terminológiai rendszerében. Ez a paradigma a helyi versenyképességet meghatározó materiális és immateriális tőkeelemeket vizsgálja. A területi tőke kategóriájának bevezetése azért fontos, mert a korábbi mérések csak a materiális javakat, a közgazdaságilag könnyen mérhető változókat elemezték. A területi tőke azonban olyan új komplex gyűjtőfogalom, mellyel a gazdasági térszerkezet mélyebb összefüggésrendszerét, vonzóképességét is lehet vizsgálni. Ebben a tanulmányban a területi tőke fogalmi elemeit, osztályozását, modelljeit, definíciós kísérleteinek eredményeit mutatom be. Megvizsgálom funkcióit, újítási lehetőségeit, legfőbb jellemzőit, módszertani eljárásának (MASST-modell) sajátosságait, valamint bemutatom az OECD és Camagni területitőke-definícióit. A területi tőke számos tőkeösszetevőt foglal magába, melyek rendszerszerűen tagolódnak, illeszkednek egymáshoz. A fogalomnak még nincs kiforrott, általánosan elfogadott definíciója, inkább definíciós kísérletekkel találkozhatunk. Ezt tovább bonyolítja, hogy a különböző fogalmi modellek más és más tőkeelemeket fogadnak el. Természetesen vannak átfedések, egyezések a modellek között, ám eltérésekkel is lehet találkozni.

The health status of Hungary’s population is unfavorable, with significant differences in health indicators not only compared to the EU15 but also to the Visegrad countries. Unfavorable health indicators can be disproportionate and particularly affect vulnerable groups, such as people with disabilities. In this study, we set out to compare the health behavior of disabled youth and youth with typical development in Hungary. We also aimed to compare the health behavior of adolescents in the Visegrad countries. The eating habits of both groups of young people we examined are unfavorable. Adolescents with disabilities experience a significantly higher rate of school stress than children with typical development in Hungary. The prevalence of somatic complaints and parameters of poor mental well-being are significantly higher in Hungary than in the other Visegrad countries. The results indicate that additional interventions are needed in Hungary and that differentiated, professional health promotion is needed for young people with disabilities. The researchers recommend extending the study to disabled adolescents living in Visegrad countries, on the basis of which an injury-specific health promotion methodology could be developed with international interprofessional cooperation.

In this paper, the spatial dimensions of a transboundary, coopetitive (coopetition: cooperation of rivals) network, established by restaurant owners, are scrutinized empirically by applying advanced toolkits of spatial network analysis (SpNA). The paper emphasizes that the coopetitive network has geographical extensions, and on the other hand, interactions between vertices generate network space. The new type of economic network could thus be analyzed by SpNA to understand the spatial characteristics of a rivals’ network at transboundary level. The paper may be referred to as cutting-edge research, because on one hand, it dissects a new type of economic network (coopetitive networks) and on the other hand, a new method is utilized (SpNA) to study the geographical parameters of inter-firm relationships. This approach emerges as a novel method. As a result, the paper provides significant, fruitful and new findings in both network science and urban economics as well. By employing metrics of SpNA, the main spatial traits of the coopetitive network can be mapped, such as the circumference, spatial structure, diameter, spatial density, spatial small world phenomenon, and global connectivity of the network. The results show that the coopetitive network possesses hub-and spoke spatial framework, in which the hub is localized far from the cluster of players. Moreover, the coopetitive interaction does not require face-to-face nexus, because the focal firm communicates with them via IT devices. The coopetitive activities contribute significantly to the urban economic growth. The main agent (the hub) ought to be supported by the regional development policy at the local and inter-urban geographical scale as well.

The notion of coopetition describes a dynamic interplay of rival companies which both collaborate and compete to increase profitability. All enterprises engaged in coopetition form a network in which the nodes refer to the locations of firms while the edges signify coopetitive interactions. This paper examines spatial characteristics, architectures and economic effects of five transboundary coopetitive networks. They are located in Hungary, Transylvania, Austria, the Ukraine and Poland and comprise 370 competitors. In the five networks analysed, competitors cooperate in joint transport and purchasing to realise savings that translate into growth of income and/or creation of new jobs. Qualitative and quantitative methods were combined to adequately understand regional network features. For this purpose, a total of 370 semi-structured interviews were conducted and questionnaires completed. To identify the spatial characteristics of networks, primary graph datasets were produced by integrating advanced toolkits of spatial network analysis and spatial econometrics. Empirical results indicate that coopetitive networks at regional level could exploit economies of scale. They contributed significantly to the dynamics of local economic growth. More precisely, 257 new jobs were created and incomes were increased higher than the inflation rate. The networks show a hub-and-spoke topology. In every network, all competitors link to a 'focal' node while only some nodes have more than one connection. The dominant firm (hub) is the integrator which is linked to every enterprise, but the direct relationship between the companies is rarely measurable.

This paper examines the societal, demographic, and health-related determinants of online stress management information-seeking (OSMIS) behavior in Hungary. We processed the International Social Survey Program: Health and Healthcare (n = 1008) dataset of 2021. Relationships between variables were assessed using weighted multiple logistic regression. The bootstrapping method was applied to gauge the robustness and reliability of the estimates. Subgroup analyses were also utilized to explore potential confounding effects between OSMIS behavior and various socioeconomic and health-related lifestyle factors. Empirical findings indicate that socially excluded strata were the most likely to seek online stress management information to cope with stressful situations. OSMIS behavior was significantly associated with divorced marital status (OR = 3.13; 95% CI: [1.92–5.17]), unemployment (OR = 2.22 [1.64–2.99]), living in a rural village (OR = 1.39 [1.12–1.93]), and distrust in the healthcare system (OR = 2.03 [1.33–3.11]). During the COVID-19 pandemic, the concept of techquity played a pivotal role in Hungary, bridging gaps in health access. Policymakers, healthcare practitioners, and digital health developers may harness our results to enhance digital health tools within integrated healthcare systems, prioritizing equitable access to ensure that marginalized populations can fully benefit from the advantages of techquity and digital inclusion.