Search

Diversification and concentration represent essential two opposite trends in many economic phenomena. Monopoly and monopsony are the natural limits in any market's analysis and describe together the range or the amplitude of offer and demand in economics. A lot of statistical indicators or coefficients, quantifying the diversification versus concentration phenomenon (D vs. C), can reveal a market, optimal or not, full or empty, etc. The paper sheds the light on the relatively little explored concept of economic evolution from concentration to diversification across local markets, providing novel evidence on underlining the dominance of diversification process within regions. This paper has applied statistical structure variable-based methods for assessing spatial differentiation degree within housing construction economic activity in macroregion Siberia for the sample period from 2000:Q1 to 2020:Q4. We present empirical elasticities using the multivariate OLS model that summarize the diversification economic response to the increasing processes of urbanization and localization across the Siberian regions. Some final remarks offer a distinct profile of this Russian macroregion under the influence of demographical variability.

This paper proposes a new approach for monitoring of managing the modernisation of regional economic. The model built on proposed methodology will make it possible to smooth out the influence of non-urban areas on the unevenness of economic activity in spatial development. This paper has two goals. The first is to provide a new compilation of data on spatial distribution of economic activity at the sub-regional level. This data set allows us to monitoring of different indicators within macroregions such as Siberia. The second goal is to construct an instrument that helps to overcome the endogeneity problem using new economic geography hypothesis about the mechanisms of distribution of economic activity. Section 2 describes the data and method that we have proposed, discusses the construction of the Theil indexes using these data at the sub-federal and the sub-regional level. Section 3 presents the correlations between spatial distribution of economic activity and local market potential, discusses the robustness of the results; and the last section concludes.