In this study, the spatiotemporal dynamics of land use and land cover (LULC) were evaluated in the peri-urban area of the Arshaly district, which borders the capital of the Republic of Kazakhstan. Landsat multispectral images were used to study the changes in LULC. The analysis of LULC dynamics was carried out using supervised classification with a multi-temporal interval (1998, 2008, and 2018). During the study period, noticeable changes occurred in LULC. There was an increase in the area of arable land and forests and a reduction in the pastures. There was a sharp increase in the built-up area; that is, there was an intensification of land use through an increase in the share of arable land as well as the transformation of agricultural land for development. However, in general, the influence of urban sprawl in this peri-urban area has so far been accompanied by only a slight focus on its sustainable development.

The suburban territories of large cities are transitional zones where intensive transformations in land use are constantly taking place. Therefore, the presented work is devoted to an integrated assessment of land use changes in the Shortandy district (Kazakhstan) based on an integrated study of the dynamics of land use and sustainable development indicators (SDIs). It was found that the main tendency in the land use of this Peri-urban area (PUA) during 1992–2018 is their intensification, through an increase in arable lands. Kazakhstan only recently started the systematic collection of SDIs according to international standards. Therefore, to assess the sustainable development of the study area, limited amounts of information were available. Nevertheless, the use of SDIs from 2007 to 2017 showed that the growth of economic development inthe study area is almost adequately accompanied by an increase in the level of social and environmental development. The methodological approach used can be widely used to assess the sustainable development of specific territories in general and the development of the capital of Kazakhstan and their PUA, in particular.

The stability and security of the food system directly affects the socio-economic factors necessary for the survival of people. The purpose of the study is to provide the main mechanisms for its development and effective organization, conducting a scientific study of current problems in food processing enterprises of Kazakhstan. In order to analyze the current state of development of processing enterprises in the country applied the methods of statistical and economic, analytical, comparative analysis. To summarize the result obtained, systematic, monographic, and constructivist approaches were used. The article analyzes the prices of socially important food products in Kazakhstan for 2016– 2022, by socially important types of products for 2016–2022. The differences between the volume of production per capita and the rate of food consumption per capita have been studied. In addition, possible ways of solving the problem of food security of the country in the coming years are considered. In order to adequately provide the population with socially important types of food, it is important to strengthen the work of processing enterprises with the support of the state, taking into account the level of specialization of the regions. This proposal will simultaneously solve several problems in the country: a unique tool in improving the quality of products and the formation of price stability, increasing the share of domestic products on the domestic market, increasing export potential, creating a stable source of income for the rural population, an effective way to market products at favorable prices for farmers and small farms, the effective use of science and technology for agricultural specialists, high possibility of linking production.

It is important to improve the socio-economic situation of rural residents worldwide, improve the quality of life, and reduce poverty. The development of rural areas in Kazakhstan is considered a strategic goal and the mechanisms for its development are constantly being improved. Nevertheless, the income of the population in priority rural regions of the country and the level of access to social and Engineering Infrastructure Services could be higher than the urban population. The study showed the importance of strengthening trilateral ties between the state, business representatives and society, increasing the Corporate Social Responsibility (CSR) of local entrepreneurs in rural areas. The purpose of the study is to show the importance of CSR, as well as the state, in ensuring the highquality functioning of social and engineering infrastructure in rural areas of Kazakhstan. In the study of Zerenda and Korgalzhyn districts of Akmola region for the period from 2010 to 2021; The analysis of the state of the economic, demographic, and socio-engineering infrastructure of the Auliekol and Altynsarinsky districts of Kostanay region was carried out. As a result, socio-economic and infrastructure problems in rural areas of the country were identified. In particular: in order to solve the problems of reducing the number of specialists in the social sphere, access to drinking water, roads, transport, internet, etc., the state can develop social and engineering infrastructure of rural territories by creating conditions for the development of local entrepreneurs and increasing their CSR.

Long-term spatiotemporal Land Use and Land Cover (LULC) analysis is an objective tool for assessing patterns of sustainable development (SD). The basic purpose of this research is to define the Driving Mechanisms (DM) and assess the trend of SD in the Burabay district (Kazakhstan), which includes a city, an agro-industrial complex, and a national natural park, based on the integrated use of spatiotemporal data (STD), economic, environmental, and social (EES) indicators. The research was performed on the GEE platform using Landsat and Random Forest. The DM were studied by Multiple Linear Regression and Principal Component Analysis. SD trend was assessed through sequential transformations, aggregations, and integrations of 36 original STD and EES indicators. The overall classification accuracy was 0.85–0.97. Over the past 23 years, pasture area has changed the most (−16.69%), followed by arable land (+14.72%), forest area increased slightly (+1.81%), and built-up land—only +0.16%. The DM of development of the AOI are mainly economic components. There has been a noticeable drop in the development growth of the study area in 2021, which is apparently a consequence of the COVID-19. The upshots of the research can serve as a foundation for evaluating SD and LULC policy.