This study examines the dynamics and effectiveness of investments in Kazakhstan’s research and development (R&D). The primary aim is to assess the efficiency of scientific research activities in Kazakhstan by analyzing the relationship between R&D investments and scientific outputs across different periods. As a methodological approach, Data Envelopment Analysis (DEA) calculates efficiency indicators by transforming multiple inputs into outputs. Descriptive analysis comprehensively explains trends and patterns in R&D funding, scientific publications, and patent registrations. The results reveal a substantial increase in R&D expenditure. Despite this, the share of domestic R&D expenditures from the gross domestic product (GDP) declined from 0.25% to 0.12%. The analysis also uncovered a significant surge in scientific publications, with Scopus publications increasing from 1,799 to 28,280 and Web of Science publications rising from 1,468 to 20,532 across the study period. However, a contrasting trend was observed in patent registrations, which decreased from 6,968 to 2,612, indicating potential inefficiencies in translating research into innovations. The study concludes that while Kazakhstan has demonstrated notable progress in enhancing research output, the decline in patent registrations relative to the increase in R&D investments underscores the need for strategic initiatives. These should strengthen industry-academia collaboration, enhance innovation infrastructure, and balance incentives for publications and patents, ensuring that R&D investments translate into tangible innovations and contribute effectively to the nation’s socio-economic development. Acknowledgment This research article has been supported bу the Ministry of Education and Science of the Republic of Kazakhstan within the project «Development of а model for evaluating the effectiveness of research activities of universities in Kazakhstan based on non-parametric and semi-parametric data analysis» (IRN AP13268842). А.I.Р. thanks the lnstitute of Solid-State Physics, University of Latvia. ISSP UL as the Center of Excellence is supported through the Framework Program for European universities, Union Horizon 2020, H2020-WIDESPREAD-01-2016-2017 TeamingPhase2, under Grant Agreement No. 739508, CAMART2 project.

One of the key areas of technological development in the world is the development of the so-called green technologies, which allow to ensure the required level of economic growth without creating additional environmental risks. In recent years, green investments in general, and green bonds, in particular, have become an effective tool for financing green projects. The purpose of the study was to determine the impact of the development of green technologies on energy security and sustainable development of energy technologies. To achieve this goal, the following tasks were solved: the essence and main directions of development of investments in green technologies in the modern investment space were determined; the volume of investments in green technologies in the world was estimated; possible directions of influence of investments in green technologies on energy security were outlined. It is established that green bonds and green investments in general can attract investors and create prerequisites for effective ensuring a sufficient level of environmental safety. It is also noted that ESG criteria are increasingly penetrating the financial sector. The emergence of green investments is associated with growing requirements for environmental friendliness of production and corporate social responsibility. According to market participants, over the next five years, many of the world's largest companies will add ESG ratings to traditional credit ratings and metrics. In general, analysing the effectiveness of investments in green technologies will help to make informed decisions and choose optimal development strategies that help to reduce the negative impact on the environment and increase the competitiveness of companies in the global market. The study concluded that investments in green technologies have potential opportunities for companies in various industries, but the success of such investments depends on a thorough financial assessment, risk management, and long-term development strategy.

This article examines the modeling of sustainable development in transport logistics, focusing on the impact of climate factors, changing weather conditions, and digitalization processes. The study analyzes the complex influence of adverse weather phenomena, such as fog, rain, snow, extreme temperatures, and strong winds, whose frequency and intensity are increasing due to climate change, on the efficiency, safety, and reliability of transport systems across all modes except pipelines. Special attention is paid to the integration of weather-resilient sensor technologies, including LiDAR, thermal imaging, and advanced monitoring systems, to strengthen infrastructure resilience and ensure uninterrupted transport operations under environmental stress. The methodological framework combines comparative analytical methods with economic–mathematical modeling, particularly Leontief’s input–output model, to evaluate the mutual influence between the transport sector and sustainable economic growth within an interconnected ecosystem of economic and technological factors. The findings confirm that data-driven management strategies, the digital transformation of logistics, and the strengthening of centralized hubs contribute significantly to increasing the resilience and flexibility of transport systems, mitigating the negative economic impacts of climate risks, and promoting long-term sustainable development. Practical recommendations are proposed to optimize freight flows, adapt infrastructure to changing weather risks, and support the integration of innovative digital technologies as part of an evolving ecosystem.

The tax administration effectiveness depends on the level of tax revenues and economic system functioning and the stable economic development of any government. The article considers institutional aspects of tax administration. The purpose of this study is to describe, evaluate and search for the development prospects of the organizational model of tax administration. The authors describe the contemporary condition of the Republic of Kazakhstan tax authorities’ organizational structure. Moreover, the international practices of the tax administration’s organizational system in modern realities is overviewed. The tax administration effectiveness is evaluated by the correlation-regression analysis of the tax authorities’ activity indicators. As a result, the relationship between the degree of effectiveness of tax administration and key performance indicators of tax authorities were identified and evaluated. Based on the conducted theoretical research, this paper reviewed tax administration’s partner system within the perspective innovative development framework. The research results are of interest to economists and public officials in the tax audit field.

The forecast model analysis of dependence of tax revenues of the state budget on macroeconomic indicators is presented. For example, the hypothesis of the impact of total retail trade on domestic taxes on goods, works and services through correlation and regression analysis is studied. Moreover, the influence of nominal income per capita, the volume of industrial products (goods and services), and investments in fixed capital on income tax was assessed. In the course of the study, the indicator of crude oil and natural gas production was selected and its impact on tax revenues from international trade and foreign operations of the country was analyzed. Thus, the importance of methods of forecasting tax revenues in the context of state tax audit and budget planning is substantiated.