CLUSTERING THE REGIONS OF UKRAINE BY LEVEL DEATH AND GROUP TRAUMA

Autor: V. Barbachin, Yu. Osipova, O. Krainiuk, Yu. Buts, P. Pavlichenko
Rok vydání: 2020
Předmět:
Zdroj: Municipal economy of cities. 3:158-164
ISSN: 2522-1817
2522-1809
DOI: 10.33042/2522-1809-2020-3-156-158-164
Popis: It is worth noting that it is precisely industrial injuries that occupy a significant place among the causes of death in the world. The purpose of this work is to study the level of fatal and group injuries in Ukraine. To achieve this goal, the following tasks were solved: 1) to study the effect of seasonality on the level of injuries; 2) to carry out clustering in order to identify homogeneous groups of regions that will characterize their greater or lesser impact on the level of fatal injuries in Ukraine. Considered in time the values of injury rates are not prone to seasonality. The impact of seasonality is noticeable only in certain industries that are directly related to external natural factors (construction or agro-industrial complex). Clustering, taking into account the regional and sectoral structure of Ukraine, identified five groups of regions. Of these, two clusters with a total of 20 regions account for 56% of occupational injuries and injuries. The remaining 44% are distributed between 4 regions. This is explained by the significant centralization of sectoral production and regional disproportion of socio-economic development of Ukraine. Thus, the most dangerous in terms of scale and level of fatal injuries are Dnipropetrovsk, Donetsk, Lviv and Kiev regions. The distribution of fatalities and cases of group injuries is significantly conditioned by the specialization and concentration of sectoral production in a particular region. However, no direct correlation was found between the values of the total number of the injured and the number of deaths. Identifying the causes that have a significant impact on the distribution of such cases, indicated that more than 80% of occupational injuries are related not to the high degree of danger of the manufacturing process itself, but to the employee's behavior, which explains the discrepancy between these indicators. Keywords: fatal and group injuries, clustering method.
Databáze: OpenAIRE
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