Lyazzat Sembiyeva
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The institutional model of tax administration and aspects of its development
Madina Serikova , Lyazzat Sembiyeva , Amina Mussina , Nurilya Kuchukova , Aldanysh Nurumov doi: http://dx.doi.org/10.21511/imfi.15(3).2018.23Investment Management and Financial Innovations Volume 15, 2018 Issue #3 pp. 283-293
Views: 1015 Downloads: 433 TO CITE АНОТАЦІЯThe 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.
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Determining the leaders of Ukraine’s insurance market based on the adaptation of the DEA method
Nadiia Shmygol , Vyacheslav Glushchevsky , Olena Cherniavska , Lyazzat Sembiyeva , Vitalii Byrskyi , Viktoriia Khoroshun , Yevhenii Merzhynskyi doi: http://dx.doi.org/10.21511/ins.15(2).2024.02Insurance Markets and Companies Volume 15, 2024 Issue #2 pp. 14-25
Views: 122 Downloads: 31 TO CITE АНОТАЦІЯThe escalating wartime risks in Ukraine has led to a rapid reduction in insurance coverage in life and non-life segments. The purpose of the study is to rank Ukraine’s insurance companies based on an adaptation of the DEA method to the insurance market conditions. The study utilized the Supervisory Statistics of the National Bank of Ukraine as data. The study also used ranking of insurance companies based on technical efficiency criteria. The output indicators include the profitability of total capital (Output1) and the occupied share of the insurance market (Output2). The input indicators comprise the volume of total assets of insurers (Input1), the share of equity capital in assets (Input2), the level of gross payments (Input3), and the level of payments to insurance reserves (Input4). The ranking of insurance companies is based on minimizing the distance of each from the bounds of technical efficiency by solving a set of optimization problems. Based on the modeling results, a list of market leaders (7 companies) was formed for the end of the third quarter of 2023. They served nearly 37% of the insurance market in Ukraine, accumulating 41.5% of the total assets of this financial market sector. So, the primary issue for insurance companies is the loss of solvency due to the absence of adequate levels of insurance reserves. Therefore, priority measures should include strengthening regulatory constraints in this financial market segment to facilitate its qualitative renewal.
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Evaluating the nexus of funding and scientific output in Kazakhstan
Anar Abdikadirova , Lyazzat Sembiyeva , Zharaskhan Temirkhanov , Anatoli I. Popov , Yana Suchikova doi: http://dx.doi.org/10.21511/kpm.08(1).2024.02Knowledge and Performance Management Volume 8, 2024 Issue #1 pp. 17-31
Views: 422 Downloads: 109 TO CITE АНОТАЦІЯThis 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.
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