The aim of the article was to thoroughly analyze the current state of the economy of the regions of the Republic of Kazakhstan and identify problems hindering the intensive development of individual regions and develop recommendations and proposals to overcome them. To achieve this goal, the following indicators were selected: 1) the growth rate of the gross regional product; 2) the growth rate of gross regional product per capita; 3) grouping of regions by the growth rate of GRP per capita; 4) gross value added per employed employee; 5) the share of gross regional product in the GDP of the Republic of Kazakhstan; 6) the rate of income growth of the population. The research was carried out using the following methods: economic analysis and synthesis, statistical-economic, computational-constructive and economic interpretation of statistical data. The primary statistical data have been processed and their final values are presented in tabular form, the grouping of indicators has been carried out and the necessary economic generalizations have been made. The information base of the research was compiled by the data of the "Bureau of National Statistics", the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan. The regions of the Republic of Kazakhstan are classified into groups depending on the growth rate of gross value added, the specific weights of individual regions in the structure of the gross domestic product of the Republic of Kazakhstan are calculated, in order to rank regions by their contribution to the GDP of the Republic of Kazakhstan. The economic factors constraining the development of the economy of individual regions are identified and proposals are given to overcome these barriers. Thus, for the intensive development of both lagging and average regions, it is recommended to improve intersectoral and interregional economic ties between them. In this regard, the problem of insufficient development of industries engaged in harvesting, storage and processing of agricultural products is particularly acute. This issue is especially relevant for the southern and southeastern regions of the country. It is recommended to invest more material, technical and financial resources in the sphere of transportation, storage and processing of the agro-industrial complex.
The article provides an overview of the current situation of digital transformation in certain countries of the world, including Kazakhstan, reveals the problems associated with these processes, and provides comments and suggestions for improving the work on digital transformation. The current state of the IT market of the EAEU and Kazakhstan is analyzed, mutual economic relations between the EAEU member states are studied. The essence of the category "digital economy" is revealed and the characteristics of the digital economy are given. The basis of the digital economy is trading through information and communication technologies (ICT). The role of the digital economy as a source of investment and innovation growth is determined. The problems of further development of the digital economy of modern Kazakhstan are thoroughly investigated. The main methodological concepts of the digital economy development are established, the ways of its implementation in the Republic of Kazakhstan are recommended. A serious study was conducted to analyze the indicators of the current state of digitalization of Kazakhstan in accordance with the indicators of annual international ratings. The "bottlenecks" hindering the digitalization of the country's economy have been identified. The assessment of the current state of the ICT market is given. The structure of the market is critically examined, the dynamics of its development are revealed. Suggestions on the main trends in the development of the IT market of the Republic of Kazakhstan are given.
The authors aimed to investigate the essence and fundamentals of the functioning of "Big Data" in the digital economy and the features of successful use of "Big Data" technology by enterprises as a new economic resource. "Big Data" is presented by the authors as a new economic resource and digital technology, which allow by solving a priority task, i. e. the allocation at the conceptual level of research of the most significant factors (resources) that determine the organizational potential for the use of big data. The article emphasizes that in the ordinary sense, the term "big data" is simply associated with a large amount of information. However, the study of the reasons why companies decide to invest in big data projects shows that the main motivating factor for them is not a large amount of data as such, but their diversity, which allows obtaining quantitative and qualitative information about a complex (complex) system of material and non-material factors of a modern company. The authors state that the expected information revolution consists in the way we analyze business and justify management decisions, and it is due not just to an exponential, avalanche-like growth in the volume of big data, but to the emergence of a new quality of information as a result of such growth - information that analysts could not even dream of ten years ago. The problematic materials of the article are presented as follows: first, the analysis of publications necessary to determine the content of the concept of "big data" is given, and positive and normative models of big data are highlighted. Further, on the basis of a resource-oriented approach and based on the results of an empirical study of foreign leading companies in the implementation of big data projects, a conceptual model of intra-company factors determining the organizational potential of using big data is being developed. As a result, recommendations are formulated for domestic companies implementing or making decisions about projects using big data.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.