Abstract
This paper investigates the relationship between spatial distribution of economic activity and local markets of primary sector in panel of Siberian regions over the period 2005-2018, using measure of localization that is Theil index considering two hierarchical levels. Section 2 describes the data and method using geospatial toolset that we have proposed, discusses the construction model for study spatial concentration spillovers between local markets. In Section 3 we study how the processes of urbanization and growth of population density in cities and agricultural development in rural areas affect the formation of local housing markets, and as a consequence, the associated local markets for goods and resources; and the last section concludes. Keywords: economic growth, regional economics, agricultural industry, local markets, spillovers, housing market
Highlights
Introduction and theoretical basisWithin current regional economic conditions availability of external markets has positive effects in the form of specialization, growth of efficiency and competition and spillovers in the form of deepening urbanization processes, regional divergence, reduction of diversification and increase of localization, high clustering, leading to the formation of single-industry towns (especially mining single-industry towns), decrease in population density and monopolization
Introduction and theoretical basisWithin current regional economic conditions availability of external markets has positive effects in the form of specialization, growth of efficiency and competition and spillovers in the form of deepening urbanization processes, regional divergence, reduction of diversification and increase of localization, high clustering, leading to the formation of single-industry towns, decrease in population density and monopolization
Our experimental assessment has shown evidence of strong spillovers in Siberia in the effects of shifting economic activity on the level of housing prices, which is a strong factor in the prices of local housing markets
Summary
Within current regional economic conditions availability of external markets has positive effects in the form of specialization, growth of efficiency and competition and spillovers in the form of deepening urbanization processes, regional divergence, reduction of diversification and increase of localization, high clustering, leading to the formation of single-industry towns (especially mining single-industry towns), decrease in population density and monopolization. GDP per capita may not change over time due to labor-migration flows, so this indicator is important for characterizing diversification processes in the context of spatial distribution. It is especially relevant for macroregions of developing countries. Government support to development of macroregions in emerging economies may enable local markets to overcome their infrastructural facility constraints and succeed in expanding their operations in context spatial distribution of economic activity On this basis, it is important to develop the main criteria aspects of the methodology of choosing the forms and methods of providing government support to helps to increase economic activity area in the context of investing in infrastructure, attracting new labor, developing the social sphere, etc. We investigate how the inclusion of a municipal level dataset, which is considered important to study in regional large-scale systems, and new in current research, can make the resulting numerical model socio-economic monitor with improved explanatory power
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
