THE NORTHERN LABOR MARKET IN A RESOURCE-BASED REGIONAL ECONOMY: THE CASE OF THE KHANTY-MANSIYSK AUTONOMOUS OKRUG—YUGRA

This study examines the labor market of the Khanty-Mansi Autonomous Okrug–Yugra. The relevance of the research stems from the region’s strong dependence on natural resource reserves and production volumes, driven by the dominance of the mining and processing industries and the resulting unique employment conditions. These structural features create specific demands for workforce qualifications and competencies. The study aims to analyze labor market supply and demand while considering employer requirements and the professional qualifications of workers. The analysis draws on statistical data, job postings, and résumés from the HeadHunter online recruitment platform. Approximately 7,500 job descriptions and 21,600 résumé entries were collected for the period June–July 2024. The methodological framework combines natural language processing techniques with neural network models. The scientific novelty of the study lies in identifying qualitative correspondences and discrepancies between the competencies of job seekers and the requirements of employers within a resource-based regional economy. The results confirm the high level of resource dependence in the Khanty-Mansi Autonomous Okrug–Yugra, classifying its economy as highly dependent on resources. An analysis of employer job postings and job seeker résumés reveals that universal and general professional skills are prioritized over specialized competencies. Overall, both labor supply and demand are dominated by industry-specific professions. Job postings with clear sectoral specialization—such as those in the oil and gas industry—tend to emphasize general skills, personal qualities, and relevant education, followed by specialized skills that can be developed through work experience. The practical significance of the study lies in its potential to inform labor demand forecasting, optimize vocational training, and support the development of effective regional human resource policies.