The purpose of the article is to actualize the challenges faced by Ukrainian agriculture in the context of climate change and the impact of the economic activity of enterprises on the state of natural resources, as well as to consider the ways and mechanisms of the post-war transition of Ukrainian agriculture to sustainable development. In the study, we used monographic, comparative analysis, empirical, abstract, and logical methods. The first consequences of climate change in agricultural sectors of the planet are characterized. Increasing temperatures to a maximum level, longer periods of extreme heat, more intense droughts, increased moisture deficit during the growing season, winter thaws, the spread of pests and diseases, and other manifestations of climate change have a negative impact on agricultural production. In the context of climate change, as highlighted in the paper, these negative processes will significantly intensify, requiring an immediate transition from ecologically and socially destructive monoculture to agroecological agriculture, which is recognized as one of the most affordable, low-cost, socially oriented, and environmentally relevant ways to transition to sustainable development of the industry. The principles and institutional support for such a transition are revealed, taking into account the expected climate change and post-war consequences for Ukrainian agriculture.
Decentralization in Ukraine was actualized due to the inability of the local self-government system to satisfy the needs of the rural population in public services for the comprehensive development of a person, their self-realization, and the protection of their constitutional rights. The purpose of this empirical study is to examine development of rural areas in Ukraine in the context of decentralization. The methodology used was exploratory qualitative in nature and used a multiple case study, wherein data analysis were applied. We have found that the first result of decentralization in 2015–2018 is a slowdown in the decline of the proportion of the rural population, in the rate of decline of the available rural population, and the employment rate of the rural population. Our study refutes the hypothesis that the rural development targets, which were defined at the beginning of decentralization and fixed in the current legislation, have been achieved. Rural development targets have not been achieved, and economic modeling shows that there are no prospects for achieving them in the near future. The research results presented in the paper are of considerable importance for developing economic policy and the social development of rural areas, by addressing the needs of these rural areas.
Ovarian cancer (OC) is a global challenge for modern medicine, ranking 7 th for incidence and the 8 th most common cause of mortality from cancers in women. Ovarian cancer has a poor prognosis, characterized by high morbidity and mortality, with detection occurring more frequently in advanced stages. Further issues lie within the heterogeneous nature of this pathology, as well as in its ability to develop multidrug resistance. Therefore, there is a burgeoning need to introduce effective screening for the general population, especially in high-risk groups such as individuals with a family history of cancer. Achieving this would be greatly assisted by identifying new biomarkers in order to, in turn, develop targeted therapies for patients. Advances in molecular biology techniques that enable cancer genetic characterization offer hope for personalized medicine. This article reviews the current findings on the biology of OC at the molecular level. Such knowledge may prove to be crucial and constitute a starting point for the development of new options for the early detection, prevention and treatment of OC.
The paper aims to assess the factors affecting the financial security of agrarian enterprises to create the proper conditions for the stable functioning of agricultural enterprises. The research period covers the years 2013-2016. Agrarian business management is currently affected by times of instability and uncertainty leading to an increase in economic and financial risks. The situation in agriculture requires addressing – forming a mechanism for the financial security of agricultural enterprises and developing a methodology for its evaluation. In the study, essence and structure of organizational support of financial security management as a critical component of economic security of agrarian enterprises was revealed. The main preconditions for providing financial security of agricultural enterprises through a prism of their financial status based on the achieved results of recent years are considered. The analysis of the leading indicators of financial security of agricultural development is carried out. Threats of an enterprise’s financial security are identified. Identifying financial security threats contribute to the timely application of adequate tools to minimize the effects of risks or maximize the factors that positively impact the financial performance of agrarian enterprises.
GDP is one of the main indicators determining the level of economic growth in countries and regions across the globe, therefore, its calculation should be based on the advanced methodology. In the present context, the existing methods of the GDP calculation do not fully meet the fineness criterion subject to certain objective and subjective reasons. Hence, the development of more perfect methodology that takes into account the disadvantages of the existing techniques and is based on economic and mathematical modeling is an urgent national task for Ukraine. The purpose of the article is to assess the GDP calculation methodology used in Ukraine. To achieve this purpose, the relevant methods of GDP calculation, which are valid in Ukraine, have been analyzed, their specifics, certain drawbacks, problems of use and application scenarios have been also revealed. According to the analysis results, an advanced methodology based on an economic and mathematical model with the use of dynamic programming is proposed. The developed methodology for calculating the GDP takes into account the peculiarities of social development in Ukraine and the tendencies of world economic processes and contributes to obtaining more reliable GDP values. It will be useful for experts in financial institutions, including international ones, and scholars working in the macroeconomic modeling area.
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