The relevance of the article is determined by the priority of the task of improving the quality and availability of medical care to the population, improving medical education and the health care management system, in the context of the systemic implementation of e-health technologies. According to WHO terminology, e-health involves the use of information and communication technologies not only in the health care system, but also covers public health, health management, financial and economic, educational and scientific aspects related to this area. The article deals with the development of digital health care in Kazakhstan, the pace of development of which allows us to predict with confidence the intensive development of smart medicine in the future. The main stages of digitalization of health care were considered, while the main trends that characterize the features and problems of its development at the present stage were highlighted. It is expected that the introduction of information communication technologies into the health care system will allow a new level of quality of medical care provided to the population. The introduction of e-health technologies will allow remote monitoring of the population, increase patient awareness, improve access to health care, especially in remote areas.

Kazakhstan’s rapid digital transformation has intensified the demand for digital skills, yet the country’s education system continues to lag behind evolving labor market requirements, resulting in persistent vertical and horizontal mismatches. This study addresses the gap by developing a conceptual model to evaluate the alignment between educational outputs and employer needs across qualification levels, fields of study, and digital competencies. The model draws on national education supply data, labor demand trends, and feedback mechanisms, including public–private partnerships and lifelong learning initiatives. Its application reveals substantial skill mismatches in both technical and non-technical disciplines, with particularly acute gaps in ICT-related and hybrid digital roles, as well as marked regional disparities. The findings suggest that incorporating employer feedback and promoting curriculum adaptability are critical to reducing these mismatches. The study concludes that strategic reforms such as embedding digital competencies into formal education, strengthening multi-stakeholder collaboration, and tailoring educational approaches to regional labor market dynamics are essential for closing the skills gap. This research offers a practical framework for diagnosing systemic misalignment and supports evidence-based policymaking aimed at developing a workforce prepared for the demands of a digital economy.

Системный подход к регулированию земельных отношений в Павлодарской области Казахстана

This study examines the structural transformation of Kazakhstan’s labor market in the context of accelerated digitalization and post-pandemic recovery. Situated within the broader discourse on labor adaptability in emerging economies, this study addresses how digital and institutional shifts are reshaping employment patterns, sectoral composition, and workforce dynamics. Using panel data analysis, regression models, and cluster techniques, this study evaluates the impact of digital infrastructure, sectoral specialization, educational investment, and demographic trends on labor productivity, formal employment, and unemployment. Empirical findings highlight a growing divergence between regions, with digitally advanced urban centers outperforming agrarian and resource-dependent areas in employment growth and labor efficiency. The study results also reveal that youth unemployment and the segment of young people Not in Employment, Education, or Training (NEET) remain structurally embedded challenges, characterized by significant gender-based and regional disparities. Furthermore, the informal sector persists as an adaptive buffer, especially during periods of economic uncertainty, but continues to limit social protection coverage. This study concludes that Kazakhstan’s labor market is undergoing a transition from an industrial resource model to a service- and knowledge-based configuration. Effective policy responses should focus on enhancing digital inclusion, promoting flexible employment models, and targeting youth labor integration. These insights provide a basis for designing regionally differentiated labor strategies aligned with long-term economic modernization.

Object: to determine the main directions of strengthening the financial base of local self-government in modern conditions in the framework of the implementation of national policies in the field of socio-economic development of territories. Methods: The scientific abstraction method supported with information analysis and grouping. Findings: The results of the analysis of the main characteristics of budgets of the fourth level and the proposed ways to strengthen the revenue base of local self-government contribute to the improvement of the theory of the budget process and inter-budget relations, as well as the development of methodological foundations for the formation of local budgets. The main factor limiting the independence of local governments in the formation of the local budget is the high level of concentration of the country's income (tax) potential at the stage of its primary distribution due to the model of budget-redistributive relations used. Conclusions: By analyzing the problems of the fourth-level budgets, the directions of strengthening the financial base of local self-government were identified, the main of which are increasing the interest of rural districts in building revenue potential, improving medium-term planning, introducing progressive forms and methods of managing local finances.