Industry Specifics and Problems of Digitalization in the Agro-industrial Complex of the Republic of Kazakhstan

IF 4 3区经济学 Q1 ECONOMICS

Journal of the Knowledge Economy Pub Date : 2024-08-20 DOI:10.1007/s13132-024-02283-3

Olga Tsapova, Shynar Zhailaubayeva, Yevgeniy Kendyukh, Svetlana Smolyaninova, Oryntay Abdulova

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Abstract

The purpose of this work is to analyze the effectiveness of management of the agro-industrial complex based on the introduction of digital and intelligent technologies that contribute to reducing the technological gap relative to the developed countries of the world, as well as stimulating the economic growth in Kazakhstan. The following methods were used in the study: information-logical, analysis and synthesis, systematization, economic modeling, and monitoring. As a result of the research, the difficulties, objective factors, and trends that determine the processes of agriculture in Kazakhstan were analyzed. It is given an economic assessment of the existing agro-industrial complex; it is established that an increase in the level of agricultural production depends on the need for new technical support and digital modernization. Based on the results of the SWOT analysis, it has been found that the environmental and economic conditions for the development of precision farming in the North Kazakhstan region require the government support that contributes to the development of new infrastructure. Practical solutions for digitalization processes of agro-industrial complex based on the high potential will lead to the creation of environmentally sustainable programmable farming and productive animal husbandry based on the advanced geospatial technologies, robotics, and artificial intelligence in general.

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哈萨克斯坦共和国农工综合体的行业特点和数字化问题

这项工作的目的是分析在引进数字和智能技术的基础上对农工综合体进行管理的有效性，这有助于缩小与世界发达国家的技术差距，并刺激哈萨克斯坦的经济增长。研究采用了以下方法：信息逻辑、分析和综合、系统化、经济建模和监测。研究结果分析了决定哈萨克斯坦农业进程的困难、客观因素和趋势。对现有农工综合体进行了经济评估；确定了农业生产水平的提高取决于对新技术支持和数字化现代化的需求。根据 SWOT 分析结果发现，北哈萨克斯坦地区发展精准农业的环境和经济条件需要政府的支持，以促进新基础设施的发展。基于高潜力的农工综合体数字化进程的实用解决方案将在先进的地理空间技术、机器人技术和人工智能的基础上，创建环境可持续的可编程农业和生产性畜牧业。

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来源期刊

Journal of the Knowledge Economy ECONOMICS-

CiteScore

5.90

自引率

27.30%

发文量

228

期刊介绍： In the context of rapid globalization and technological capacity, the world’s economies today are driven increasingly by knowledge—the expertise, skills, experience, education, understanding, awareness, perception, and other qualities required to communicate, interpret, and analyze information. New wealth is created by the application of knowledge to improve productivity—and to create new products, services, systems, and process (i.e., to innovate). The Journal of the Knowledge Economy focuses on the dynamics of the knowledge-based economy, with an emphasis on the role of knowledge creation, diffusion, and application across three economic levels: (1) the systemic ''meta'' or ''macro''-level, (2) the organizational ''meso''-level, and (3) the individual ''micro''-level. The journal incorporates insights from the fields of economics, management, law, sociology, anthropology, psychology, and political science to shed new light on the evolving role of knowledge, with a particular emphasis on how innovation can be leveraged to provide solutions to complex problems and issues, including global crises in environmental sustainability, education, and economic development. Articles emphasize empirical studies, underscoring a comparative approach, and, to a lesser extent, case studies and theoretical articles. The journal balances practice/application and theory/concepts.