Climatic Factors and Socioeconomic Indicators: Statistical Relation Research by Regions of Russia
https://doi.org/10.31857/S2587556622040124
Abstract
Climatic conditions affect the population both directly—through its health, morbidity, and mortality, and indirectly—through living conditions, and this impact is extremely heterogeneous. In the work, the ranking of climatic factors according to the closeness of the connection with demographic, social and economic indicators was carried out using correlation, regression, and variance analysis at the territorial level of the regions— subjects of the Russian Federation for the period 1995–2017. It is shown that climatic factors can be used to describe from 21 to 52% of the variance of the considered indicators, averaged over the study period for the regions of the Russian Federation. For the migration rate, the most important predictors are the duration of the heating season, day-to-day temperature drops >|6|oC and the sum of temperatures below 0oC. The dependence of the overall morbidity on climatic factors is described by 42%. The contribution to the regression of such climatic factors as a pressure rms deviation, duration of the heating period, and day-to-day temperature drops >|6|oC is the most significant. Climatic factors such as the duration of the heating season, the duration of the frost-free period, the sum of active temperatures make the greatest contribution to the dispersion of the gross regional product.
Keywords
climatic factors,
migration rate,
general morbidity,
gross regional product,
correlation analysis,
regression analysis
Supporting agencies: Study was supported by Russian Science Foundation, project no. 16-17-10236.
About the Authors
V. V. Vinogradova
Institute of Geography, Russian Academy of Sciences
Russian Federation
Russian Federation
Moscow.
T. L. Borodina
Institute of Geography, Russian Academy of Sciences
Russian Federation
Russian Federation
Moscow.
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For citations:
Vinogradova V.V., Borodina T.L. Climatic Factors and Socioeconomic Indicators: Statistical Relation Research by Regions of Russia. Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya. 2022;86(4):578-591. (In Russ.) https://doi.org/10.31857/S2587556622040124
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