Yelena S. Patashkova

In recent years, the agro-industrial complex has emerged as a crucial sector in the Republic of Kazakhstan, playing a pivotal role in ensuring the nation's food security. State support for agriculture constitutes a multifaceted mechanism encompassing measures that influence the income of agricultural industries, the structure and scale of agricultural production, the agri-food market, and the social fabric of rural areas. Financial resources are allocated from budgets at various administrative levels to support the agricultural sector of Kazakhstan. The primary objective is to assess the efficient utilization of budget funds allocated to the agricultural sector of Kazakhstan. A combination of economic-statistical, estimated-comparative, logical, and analytical analysis methods was employed to achieve this goal. The results reveal that a targeted agricultural policy, coupled with effective state regulation mechanisms, enables the attainment of high levels of productivity and efficiency in this industry. Nevertheless, despite these successes, the current role of the agro-industrial complex in shaping the economy is deemed insufficient. This is evidenced by indicators assessing the sector's contribution to macroeconomic benchmarks. In conclusion, an evaluation of the current state of development in the Republic of Kazakhstan's agricultural industry reflects a positive growth trend in recent years. However, the agricultural sector continues to be among the less profitable segments of the domestic economy, grappling with persistent challenges that have yet to be fully overcome.

Currently, there are a great number of platform-projects and frameworks based on blockchain technology. Consequently, it is necessary to define the most relevant blockchain platforms and analyze them taking into consideration a variety of features. Also, there is a need to investigate the logistics growth and the price of Bitcoin on the Binance cryptocurrency exchange. The authors have examined modern technologies used by manufacturing companies in the field of fintech in the context of the 2019-2024 period. The results show that sensors and automatic identification take the leading position both at present and in 2024. Aartificial intelligence and blockchain are also in demand by manufacturers today, however in the nearest future their ranking positions will increase sixfold from 10% to 60%. In the current paper the authors review the largest companies that effectively use blockchain technology in their businesses. The conducted survey shows that 18% of companies use blockchain technology based on Bitcoin. The authors have analysed a number of Bitcoin transactions for the period from January 2017 to February 2021 and concluded that the COVID-19 pandemic has had a favourable effect on the indicator data. A maximum number of transactions equal to 10.15 million was carried out in July 2020. Using the method of the Ordinary Least Squares (OLS) and statistical estimation methods the authors have revealed an underestimation of the equilibrium state of the empirical distribution of price data and the volume of daily trading of Bitcoin on the Binance cryptocurrency exchange through the channel of the right-hand confidence interval. The blockchain technology based on Bitcoin has positively reacted to the macroeconomic factors such as the COVID-19 pandemics and further growth in Bitcoin transactions is expected. With the help of economic modelling, the authors have defined the predictable volume and the price of Bitcoin on the Binance cryptocurrency exchange.