CLUSTERING THE REGIONS OF UKRAINE BY LEVEL DEATH AND GROUP TRAUMA

Array

Authors

  • Yu. Buts Simon Kuznets Kharkiv National University of Economics
  • V. Barbachin O.M. Beketov National University of Urban Economy in Kharkiv
  • О. Krainiuk Kharkov National Automobile and Highway University
  • Yu. Osipova Simon Kuznets Kharkiv National University of Economics
  • Р. Pavlichenko Simon Kuznets Kharkiv National University of Economics

Keywords:

fatal and group injuries, clustering method

Abstract

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.

Author Biographies

Yu. Buts, Simon Kuznets Kharkiv National University of Economics

Candidate of Geographical Sciences, associate professor, Head of the Department of Environmental Technologies, Ecology and Safety of Life

V. Barbachin, O.M. Beketov National University of Urban Economy in Kharkiv

candidate of Technical Sciences, associate professor, Associate Professor Department of Occupational Safety and Health

О. Krainiuk, Kharkov National Automobile and Highway University

candidate of Technical Sciences, associate professor, Associate Professor of the Department of Metrology and Vital Safety

Yu. Osipova, Simon Kuznets Kharkiv National University of Economics

Student

Р. Pavlichenko, Simon Kuznets Kharkiv National University of Economics

Student

References

1. Buts, Yu.V., Barbashyn, V.V., Krainiuk, O.V., Osipova, Yu.S., Pavlichenko, P.V. (2019). Statistical analysis of the level of occupational injuries in Ukraine by region. Municipal economy of cities. Series: Engineering Sciences and Architecture, 3. 149. 169-174. DOI 10.33042/2522-1809-2019-3-149-169-174.
2. Buts, Yu.V., Barbashyn, V.V., Krainiuk, O.V., Osipova, Yu.S., Pavlichenko, P.V. (2019). Statistical analysis of the level of occupational injuries in the sector. Municipal economy of cities. Series: Engineering Sciences and Architecture, 5. 151. 87-93. DOI 10.33042/2522-1809-2019-5-151-87-93.
3. World statistics. (n.d.) International Labor Organization. Retrieved from: http://www.ilo.org/moscow/areas-of-work/occupational-safety-and-health/WCMS_249276/lang--ru/index.htm.
4. On the state of labor protection in Ukraine. (2020) State Service of Ukraine for Labor. Retrieved from: http://dsp.gov.ua/pro-stan-okhorony-pratsi-v-ukraini.
5. Nichols, T. (1999) Death and injury at work: A sociological approach (1999) Health and Work. – Palgrave, London. 86-106.
6. Stoesz, B., Chimney, K., Deng, C., Grogan, H., Menec, V., Piotrowski, C. (2020). Incidence, risk factors, and outcomes of non-fatal work-related injuries among older workers: A review of research from 2010 to 2019. Safety Science, 126, 104668.
7. Passmore, D., Chae, C., Borkovskaya, V., Baker, R., & Yim, J. H. (2019). Severity of US construction worker injuries, 2015-2017. In E3S Web of Conferences, 97, 06038). EDP Sciences.
8. Dillender, M. (2019). Climate Change and Occupational Health: Are There Limits to Our Ability to Adapt?. Journal of Human Resources. April 10 DOI: 10.3368/jhr.56.1.0718-9594R3.
9. Fontaneda, I., López, M. A. C., Alcántara, O. J. G., & Ritzel, D. O. (2019). Gender differences in lost work days due to occupational accidents. Safety science, 114, 23-29. DOI 10.1016/j.ssci.2018.12.027.
10. Amissah, J., Badu, E., Agyei-Baffour, P., Nakua, E. K., & Mensah, I. (2019). Predisposing factors influencing occupational injury among frontline building construction workers in Ghana. BMC research notes, 12(1), 728. DOI: 10.1186/s13104-019-4744-8.
11. Prevention of occupational injuries and occupational diseases in 2019. Social Insurance Fund of Ukraine Retrieved from: http://www.fssu.gov.ua/fse/control/main/uk/publish/ article/968035.

Published

2020-07-01

How to Cite

Buts, Y. ., Barbachin, V., Krainiuk О., Osipova, Y., & Pavlichenko Р. (2020). CLUSTERING THE REGIONS OF UKRAINE BY LEVEL DEATH AND GROUP TRAUMA: Array. Municipal Economy of Cities, 3(156), 158–164. Retrieved from https://khg.kname.edu.ua/index.php/khg/article/view/5614

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