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Food deserts (FD) have attracted attention after the post-COVID-19 pandemic, primarily due to adverse health and other implications of living in areas designated as food deserts. Most studies have focused on various aspects of the impact of food deserts, including the nutritional and health risks of living in FDs. Spatial integration and analysis of the GIS data in food provide a powerful way to expose the issues of creating deserts and how they change over space and time. This study aims to investigate the socioeconomic factors influencing food deserts using geospatial analyses. Guilford, Bladen, and Rutherford Counties in North Carolina were selected as case studies due to their higher percentage of the population with limited healthy food access. This study used open-source data, such as the USDA’s Crop Land Layer (CDL) land cover maps, census data, and the Food Access Research Atlas. This research provides a geostatistical analysis of FDs based on income/expenditure, population, vehicle, and food aid. The study results generally showed that geospatial technologies are vital for investigating FDs. The results will assist policy makers and other responsible agencies in formulating appropriate intervention policies tailored to meet the demands of these counties.

Horticulture is an important part of agriculture throughout the world. Fruits are used in the diet of the population, both fresh and for the production of various processed products, and most importantly, the most popular is dried fruits. In this regard, the topic is relevant both for the agricultural economy and for the country's economy as a whole. Intensive gardening is a combination of technologies, means, resources based on modern, intensive, innovative bases. The purpose of researching the material of the article is to analyze the corresponding situation of intensive gardens in the Republic of Uzbekistan, analyze the development and formulate proposals for increasing the economic attractiveness of cultivating intensive gardens, both for local consumption within the country and for export to foreign countries. The object of the study was the gardening of the Republic of Uzbekistan, in particular, they were accepted for analysis in 2016-2020. The objectives of the study of the material were the study of the economic side of the cultivation of intensive gardens, diagnostics of the state of intensive gardens, based on the analysis, the creation of proposals admissible for adoption on the territory of the Republic of Uzbekistan.

Specific features of proposals on the implementation of the Clean Development Mechanism (CDM) projects within the framework of the Kyoto Protocol are described. It is noted that the implementation of these projects (RES projects being most attractive) will make it possible to attract additional investments and new technologies to the country’s national economy. Criteria of the choice of the CDM projects and the sustainable development parameters are considered.

The article scientifically describes the development of land allocation projects for urban purposes using geographic information systems (GIS) technology, one of the main forms of inter-farm land management, one of the state measures aimed at rational organization of land use. In addition, the scientific article should take into account the formation of the databases necessary for the development of such projects, the stages of data processing and analysis, as well as the issues that need to be addressed, as well as the development of feasibility studies for the implementation of such projects—key factors and key indicators, as well as expected project results.

AbstractSoils are vital for supporting food security and other ecosystem services. Climate change can affect soil functions both directly and indirectly. Direct effects include temperature, precipitation, and moisture regime changes. Indirect effects include those that are induced by adaptations such as irrigation, crop rotation changes, and tillage practices. Although extensive knowledge is available on the direct effects, an understanding of the indirect effects of agricultural adaptation options is less complete. A review of 20 agricultural adaptation case‐studies across Europe was conducted to assess implications to soil threats and soil functions and the link to the Sustainable Development Goals (SDGs). The major findings are as follows: (a) adaptation options reflect local conditions; (b) reduced soil erosion threats and increased soil organic carbon are expected, although compaction may increase in some areas; (c) most adaptation options are anticipated to improve the soil functions of food and biomass production, soil organic carbon storage, and storing, filtering, transforming, and recycling capacities, whereas possible implications for soil biodiversity are largely unknown; and (d) the linkage between soil functions and the SDGs implies improvements to SDG 2 (achieving food security and promoting sustainable agriculture) and SDG 13 (taking action on climate change), whereas the relationship to SDG 15 (using terrestrial ecosystems sustainably) is largely unknown. The conclusion is drawn that agricultural adaptation options, even when focused on increasing yields, have the potential to outweigh the negative direct effects of climate change on soil degradation in many European regions.

This article reveals the importance of the industrial sector in the economic growth of our country. Dynamic changes in the volume of industrial products in the regions of the country were analyzed and the specialization of regions in sectors was evaluated. The influence of the added values of economic sectors on the gross domestic product was analyzed based on econometric models. Also, a forecast was made on the main economic indicators, and scientific proposals were developed to ensure high economic growth.

A fixed effects regression and two-step system generalized method of moments (GMM) is used to analyze secondary data from the World Bank, covering 163 countries over the period from 2000 to 2016. The study tests the relationship between renewable energy, urbanization, and CO2 emissions. The empirical results show that urbanization has an inverted U-shaped relationship with CO2 emissions, while renewable energy consumption mitigates CO2 emissions. If causal, a 1% increase in renewable energy use leads to a 1.2% decrease in CO2 emissions. The results also show that the GDP per capita has an inverted U-shaped relationship with CO2 emissions, confirming the environmental Kuznets curve (EKC). We also found that innovation, proxied by residents’ patents, has a non-linear effect on CO2 emissions. As a policy implication, developing countries should increase the share of renewable energy in their total energy use, and promote innovative activities by increasing government spending on R&D.