In age of sustainable development, strategic innovations have become the most important factor in the adaptation of national economies to dynamic global changes, encompassing trade and economic relations between the leading and developing countries of the World. At the same time, the task of this study was to reveal the complex and contradictory role of strategic innovations in the development of national economies against the background of the transformation of global value chains (GVCs). Main methods for solving the problem were empirical methods of comparative and structural analysis, as well as econometrics. The study analyzed 44 countries classified by the World Bank in the group of countries with per capita incomes below and above the average, as well as with high income. Results of the calculations made it possible to establish a highly differentiated relationship between the share of products manufactured by foreign companies operating in the host countries, on the one hand, and indicators of the dynamics of foreign direct investment (the number of researchers engaged in R&D, the number of technical specialists involved in research and development (R&D), the cost of research and development in the territory of the host countries), on the other hand. This made it possible to determine the role of strategic innovation in the adaptation of national economies. The established dependencies expand the understanding of the role of strategic innovations in the formation and further development of global value chains and their significance in evolution: from process and product innovations of individual companies to the formation of global innovation ecosystems.
Particular and general factors determine the dynamics and trends of endogenous development of three unrecognized and partially recognized republics of the Caucasus the Republic of South Ossetia (RSO), Abkhazia, and the Nagorno-Karabakh Republic. The article identifies critical factors and assesses prospects for endogenous socio-economic development of an unrecognized and partially recognized Republics of the Caucasus. It uses comparative and statistical methods, namely, one-factor analysis of variance (ANOVA) and the Kraskel-Wallis Criterion. A database developed for this study uses a set of indicators of the UN Sustainable Development Goals (SDGs) for 2007 to 2019 as a formalized universal and balanced system of global determinants. We found that differences in the achieved UN SDGs indicators can be accounted for by the variety of each state's initially socio-economic situation (the effect of a differentiated base). At the same time, the research shows that the dynamics of the development of the Caucasian republics are similar, which determines a commonality of trends of their future (while maintaining current conditions and circumstances). The study results expand our understanding of the development of unrecognized and partially recognized states. It shows that one has to consider this propensity of the Caucasian states to self-development when justifying measures for improving their socioeconomic situation and increasing the effectiveness of investment programs implemented jointly with the Russian Federation to promote the socio-economic development of the RSO and the Republic of Abkhazia.
Currently, at the global and regional (national) levels, the expert community, as well as statesmen, have prioritized the task of practical implementation of the Sustainable Development Goals (characterizing the dynamics of a development of various parameters of socio-ecological and economic systems). Achieving these goals requires serious analytical work based on a deep and comprehensive analysis of a processes taking place in various spheres, as well as the formation of an appropriate information platform, including a set of databases that adequately describe changes taking place in various spheres of state activity. However, today, in Russian practice, this tool is practically absent, which significantly complicates the qualitative and quantitative analysis, assessment and forecasting of the processes of adaptation of Russian regions (including the population living in them) to consequences of global climate change. The purpose of this study is to form a database of indicators characterizing process of adaptation of socio-ecological and economic systems of a northern regions of Western Siberia (The Khanty-Mansiysk Autonomous Okrug and Yamalo-Nenets Autonomous Okrug) to global climate change. The projected database should become the basis for creating an open information resource for a wide range of users when they solve analytical and predictive tasks related to a socio-economic assessment of an impact of global climate warming on permafrost. To achieve the objectives of the study, a set of methods was used: theoretical generalization and comparison, formalization, algorithmization, structuring and grouping, economic and statistical methods (including correlation and regression analysis), cartographic method, graphical modeling method. As a result, we have formed a database representing a single, periodically updated repository containing spatio-temporal data sets characterizing processes and phenomena, on the one hand, socio-ecological and economic systems, on the other – climate change. Further work with the database assumes, on the basis of available quantitative data and methods of mathematical statistics, the identification of elements of the ecological, socio-economic systems of the KhMAO and YaNAO vulnerable to global climate change, as well as forecasting the dynamics of their (systems) transformation.
In recent years, living conditions of a population have changed rapidly due to complex social, economic, cultural, political and other processes. This naturally leads not only to a transformation of the system of values, motivation, worldview, but also an entire way of life. High rates of these changes simultaneously led a delegation given, on the one hand, a diversity of forms of response behavior, from the other – their gradual integration into the socio-economic relations in a search result models of individual and collective adaptation to a new dynamic environment, characterized by high uncertainty and heterogeneity. Thus, the purpose of this study is to identify and describe the main models of population adaptation on an interdisciplinary basis, not limited to an analysis of complex processes within a single field of knowledge. In this regard, the task is to find a way to harmonize (coordinate) different points of view on a nature of a single phenomenon. The object of our research is a variety of adaptation processes of a population to dynamically changing conditions of its life. At the same time, the subject should be a wide range of different types of interactions between a population and an external environment, as well as a population “within itself”, as part of the model of its adaptation to changing conditions. To achieve the goal and solve problems, a set of methods that complement each other is used, namely: theoretical analysis and synthesis, systematization and comparative analysis. As a result, it was found that population adaptation is a rather complex phenomenon, the study of which goes far beyond the formal framework of any one field of knowledge, being at their intersection, which requires the search for new approaches that allow integrating explanations of the nature of phenomena that are currently interpreted within their paradigms. The article presents the main types of models of population adaptation to dynamically changing socio-economic conditions of life, their features, identity and differences, as well as areas of application
Space is one of the key and controversial (in terms of content) categories in economics. It is assumed that the methodological basis of spatial development concept, and, correspondingly, the very concept of space itself are classical (mercantilism) and neoclassical (price theory) theories. However, until now the understanding of its nature and its role in creating and transforming modern socio-economic relations remains a debatable issue. The key method of analysis in this work is semantic analysis. The Authors attempt, on the one hand, to reveal a retrospective transformation of space concept, and on the other, to identify the key theoretical and methodological approaches to this phenomenon in modern research. The analysis results in a number of valuable findings. First, the authors identify a synthetic nature of concept evolution, which consists in a specific absorption of previously proposed models and space describing provisions. Secondly, the authors identify the main approaches to space study, for which the determining criterion is the nature of socio-economic relations formed by economic agents, and the processes that these agents implement in various spaces. Thirdly, the authors prove that modern concept of socio-economic space allows for a broader description of interactions of economic agents in translocation aspect. Thus, the scientific significance of the research consists in expanding knowledge approaches to defining the category of space, as well as its analysis in modern economic research.
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