The recently adopted maritime spatial plan for Polish sea waters promotes offshore wind farm (OWF) development. The study’s identification of the local municipalities affected by offshore development was based on the plan’s provisions. Through the analysis of the plan and literature findings, both positive and negative impacts of future OWF development were identified and examined. Such an analysis seems to be a precondition for the more active engagement of local stakeholders in the debate on the ways in which to best utilize the new opportunities created by the plan and cope with the threats resulting from maritime spatial planning (MSP). The key impacts recognized by the local business stakeholders have been related to landscape pollution and fishing limitations. Stakeholders less frequently have noticed positive impacts of MSP such as development of a new form of tourism. Up to this point, small municipalities have not undertaken sufficient action, and there is a lack of communication between developers, marine planners and coastal communities. Planners have not assessed the impact of their plan on local economic development. The proposed remedies cover standard actions related to communication, education and dialogue, but in addition to that, a consolidated action of local municipalities on how to capitalize on OWF development has been proposed. The first step proposed is preparation of a joint strategy by coastal municipalities addressing this issue.

Offshore wind installation targets of EU Member States were considered. The analysis of the national plans showed that EU target can be exceeded, provided the appropriate resources are committed: offshore space, capital and supply chain. Spatial plans were analyzed and the need for the number of installed turbines was determined. The capital needs to cover the costs of investment outlays were analyzed. A projection for the number of wind turbines installed in Europe up to 2030 was presented. The analysis identified how the resources committed to the targets will contribute to: the generation of electricity, the reduction in greenhouse gas emissions and contribution to improving Europe’s energy independence.

Purpose: The purpose of this paper is to address the challenges of missing data and anomalies in the Automatic Identification System (AIS) database and to explore methods for data imputation and anomaly detection to optimize maritime traffic monitoring. Design/methodology/approach: This research applies machine learning and data imputation techniques to AIS datasets to fill gaps and detect anomalies, aiming to enhance operational efficiency in maritime transportation. Findings: The study finds that filling missing data improves vessel traffic monitoring systems, supports better asset management, and contributes to fuel consumption optimization in maritime operations. Research limitations: Limitations include the reliance on available AIS data quality, with future research needed to integrate real-time environmental conditions and scale the methods to large datasets. Practical implications: The findings offer practical solutions for improving maritime operations, leading to cost savings through optimized vessel management and reduced environmental impact.Social implications: The research supports environmental sustainability by reducing emissions in maritime transport, influencing corporate responsibility and regulatory policies. Originality/value: his paper offers innovative methods for AIS data imputation and anomaly detection, providing value to the maritime industry by improving decision-making and operational efficiency.

This paper compares Poland’s emerging offshore wind market, with the United Kingdom, the European leader in the sector, to explore how economic benefits from offshore wind are distributed spatially. The Spatial Economic Benefit Analysis (SEBA) method was applied and refined by integrating an economic dimension, enabling the estimation of contract values and their geographical allocation. The study covers 18 projects, linking supply chain actors with contract packages to assess spatial concentration. Results show that supply chains tend to cluster: in the UK, a mature industrial belt has developed around the southern North Sea, spanning the British, Belgian, Dutch, and Danish coasts, serving both British and international markets. In Poland, Tier 1 contracts are largely secured by foreign firms, though domestic actors are visible in coastal and metropolitan clusters. With further Baltic development, Poland could become a regional supply hub if policy support improves.

This study examines the job creation potential of offshore wind energy development in Poland, Germany, and the United Kingdom using high-frequency job posting data. Based on 258 postings collected daily between March and May 2024, the study offers an exploratory, descriptive comparison. By leveraging web scraping techniques to collect job posting data from LinkedIn, the research provides a comparative analysis of labour market trends across these three countries, each representing different stages of offshore wind sector maturity. The methodology combines web scraping, data mining, and statistical analysis to assess the geographical distribution, job types, and relative demand for offshore wind energy positions. Key findings reveal differences in job posting patterns among the analysed countries, with Poland showing the highest ratio of offshore wind job postings per million inhabitants, which may reflect its emerging market status. This research contributes to the understanding of how offshore wind energy development impacts local and national job markets, offering valuable insights for policymakers, industry stakeholders, and researchers. The study also highlights the potential of high-frequency online job posting data for labour market assessment, particularly in rapidly evolving sectors like renewable energy.