Socio-Economic Challenges of the Danubian Clusters

Abstract

The Danube regions highlight the fact that, although extremely culturally and economically diverse, the communities and clusters in this basin are currently facing a set of interconnected and overlapping socio-economic challenges. Managing these simultaneous crises directly tests the resilience and agility of the management tools used by the cluster management entities. The Danube clusters operate in a region marked by major economic asymmetries (from the high-tech economies of Germany and Austria, to the transition or emerging ones in the lower basin - Romania, Bulgaria, Ukraine). Since the risk that SMEs in Eastern Europe become simple suppliers of cheap labor for technological leaders in the West, instead of equal partners in innovation, requires the implementation of transnational Open Innovation and technology transfer platforms supported by the Danube Region Programme (Interreg), in order to accelerate technological convergence. A demographic decline and skills shortage are identified in the Danube regions as local communities along the Lower Danube are facing a massive exodus of young people and specialists to large metropolises or to Western Europe. The lack of qualified personnel for the new ecological and digital industries (e.g. naval robotics, energy management, precision agriculture), requires the creation of clusters in which Danube universities collaborate directly with cluster managers to create master's and retraining programs strictly adapted to the needs of the local market (thus, young people stay in the region). EU regulations on climate neutrality put huge pressure on traditional industries along the Danube, which represents a challenge for the modernization of the merchant naval fleet (to reduce emissions) and the decarbonization of heavy industries (steel, chemistry) in port cities requires massive investments that can reduce competitiveness in the short term. Climate change requires the integration of real-time hydrological monitoring software systems (GIS) into cluster management plans, allowing for the dynamic adaptation of logistics chains and cross-border coordination of environmental risk management, as well as the development of common digital platforms at macro-regional level for electronic customs clearance, goods traceability and predictive planning of berthing slots.