Statistical Approaches to Measuring Agglomeration Effects (Case Study: Privolzhsky (Volga) Federal District)
Abstract
This article considers statistical approaches to measuring agglomeration effects on the example of the so-called «economic density» that is measured by the profit indicators. The authors determined and analyzed the indicators of profit, productivity, infrastructure, transactions and labor input density in the urban districts of the regions of the Privolzhsky (Volga) Federal District for 2013-2016. There is a comparative analysis that showed significant agglomeration effects for the development of urban districts with a population of more than 100,000 people compared to all urban settlements in the regions. Agglomeration processes (density indicators) have positive impact on social parameters, including the development of human potential. There is a strong direct relationship between the effects of agglomeration development and infrastructure coverage and the size of local businesses.
Keywords
agglomeration effects,
agglomeration indicators,
urban districts,
resource concentration,
municipal statistics
Supporting agencies: This article was prepared as part of the Grant of the Plekhanov Russian University of Economics «Modeling the influence of agglomerations on the socio-economic development of Russia»
About the Authors
Vyacheslav L. Somov
Rosstat Territorial Statistical Office for Saratov Region, Saratov Russian Federation
Russian Federation
Cand. Sci. (Econ.), Head
Russian Federation
Cand. Sci. (Econ.), Head
Vladimir A. Markov
Saratov Socio-Economic Institute (branch) of Plekhanov Russian University of Economics, Saratov Russian Federation
Russian Federation
Cand. Sci. (Econ.), Docent, Statistics Department
Russian Federation
Cand. Sci. (Econ.), Docent, Statistics Department
Anna V. Brovkovа
Saratov Socio-Economic Institute (branch) of Plekhanov Russian University of Economics, Saratov Russian Federation
Russian Federation
Senior Lecturer, Statistics Department
Russian Federation
Senior Lecturer, Statistics Department
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Review
For citations:
Somov V.L., Markov V.A., Brovkovа A.V. Statistical Approaches to Measuring Agglomeration Effects (Case Study: Privolzhsky (Volga) Federal District). Voprosy statistiki. 2018;25(6):51-59. (In Russ.)
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