STRUCTURAL ANALYSIS OF THE NUMBER OF FIRES IN UKRAINE

Authors

  • M. P. Suprovych Higher Educational Institution “Podillia State University”, Ukraine
  • O. V Shutyak Higher Educational Institution “Podillia State University”, Ukraine

DOI:

https://doi.org/10.37406/2706-9052-2022-15

Keywords:

fires, statistics, structural change, absolute structural change coefficients, Gathev’s coefficient, Salai index, Ryabtsev index, clustering

Abstract

Among the possible dangers, fires definitely rank first. In Ukraine, there is a growing trend in the number of fires and the damage they cause. Therefore, identifying the structure of cause-and-effect patterns of this hazardous phenomenon is important for the development of measures to reduce the negative consequences of fires. The considerable array of statistical information on fires and their consequences, which is annually collected and published by the Ukrainian Research Institute of Civil Protection, gives an opportunity to carry out a range of relevant statistical researches. The research objective is to study structural changes in fire spread in Ukraine’s regions for the last 9 years. The study is based on statistical data from 2013–2021 on fire spread in 24 regions and Kyiv city. In order to identify structural changes, their intensity was assessed using 5 indices: indicators of linear and quadratic coefficients of absolute structural breaks, Gatev’s coefficient of structural differences, Salai’s general indicator of structural changes and Ryabtsev index. By relying on the cluster analysis, homogeneous groups are identified following the number of fires and the causes of structural changes in the periods of maximum and minimum shifts are considered. The biggest difference in the number of fires occurred between the 2013 and 2019 pair. In this period, the estimated indices have reached the maximum value. In terms of the quadratic coefficient, significant structural shifts are characteristic of most pairs relative to 2013 and 2014. This observation is confirmed by the Ryabtsev Index indicators, according to which the mentioned groups have a significant level of difference. Minimal structural changes are found for pairs 2013→2015; 2017→2018; 2015→2021 and 2020→2021. Linear approximation across all indices showed that structural shifts in the number of fires tended to increase. UPGMA-dendrogram was built on the basis of cluster analysis, which identified three homogeneous groups of regions according to the number of fires. A comparison of their numbers in 2013 and 2019 showed that the main structural shifts are formed by the first group, which included 6 areas: Kharkiv, Kyiv, Odessa, Zaporizhzhia, Donetsk, Dnipropetrovsk regions, and the city of Kyiv, i.e., administrative-territorial entities where the majority of the population resides, the main share of industrial production is produced, and the key energy capacities of the country are located. Significant structural shifts in fire numbers from 2013 to 2021 are common for all regions and the city of Kyiv of group I and all regions (except Kirovohrad) of group III. This observation is confirmed by the Ryabtsev coefficient values. All Group I and Group III areas have a substantial or significant level of variation in fire incidence patterns. In the second cluster, only 4 oblasts of Transcarpathian, Luhansk, Poltava and Chernihiv have a significant level of shifts. Available volume of statistical data allows extending structural analysis using other indicators of the state of fire safety, such as the number of fires in cities and villages, number of victims and injured, material losses from fires, number of fires per 10 thousand population, damage per 10 thousand population, etc.

Author Biographies

M. P. Suprovych, Higher Educational Institution “Podillia State University”

Candidate of Technical Sciences, Associate Professor, Associate Professor at the Department of Physics,
Labour Protection and Environmental Engineering of Educational and Scientific Institute of Energy

O. V Shutyak, Higher Educational Institution “Podillia State University”

Candidate of Agricultural Sciences, Associate Professor, Associate Professor at the Department of Physics,
Labour Protection and Environmental Engineering of Educational and Scientific Institute of Energy

References

Analitychna dovidka pro pozhezhi ta yikh naslidky v Ukraini za 12 misiatsiv 2021 roku [Analytical report on fires and their consequences in Ukraine for 12 months of 2021]. URL: https:// idundcz.dsns.gov.ua/files/2021/Ctatuctuka/Analitychna%20dovidka%20pro%20pojeji_12.2021.pdf [in Ukraine].

Statystyka pozhezh ta yikh naslidkiv za 2018 rik [Statistics on fires and their consequences for 2018]. URL: https://otipb.at.ua/load/statistika_ pozhezh_ta_jikh_ naslidkiv_za_2018_rik/24-1-0-5507 [in Ukraine].

Analitychna dovidka pro pozhezhi ta yikh naslidky v Ukraini za 12 misiatsiv 2020 roku [Analytical report on fires and their consequences in Ukraine for 12 months of 2020]. URL: https://idundcz.dsns.gov.ua/files/2020/Nauka/STATYSTYKA/Analitychna%20dovidka%20pro%20pojeji_12.2020.pdf [in Ukraine].

Statystyka pozhezh ta yikh naslidkiv v Ukraini za 2013–2016 roky [Statistics of fires and their consequences in Ukraine for 2013–2016]ю URL: https://idundcz.dsns.gov.ua/files/2020/6/15/ Статистика_2013-2016.pdf [in Ukraine].

Martyn, O.M., Kupchak, M.Ja., & Gontar, Z.G. (2016). Analiz prychyn vynyknennia pozhezh yak osnova rozroblennia novoi stratehii zabezpechennia pozhezhnoi bezpeky v Ukraini [Analysis of the causes of fires as the basis for the development of a new strategy to ensure fire safety in Ukraine]. Global and national economic issues (electronic scientific publication), 12, 107–112 [in Ukraine].

Biloshitsky, M.V., Klimas, R.V., Yakimenko, O.P., & Matviychuk, D.Ya. (2013). Analiz statystychnykh danykh pro pozhezhi ta yikh naslidky v zhytlovomu sektori Ukrainy [Analysis of statistical data on fires and their consequences in the residential sector in Ukraine]. Fire Safety: theory and practice, 14, 9–14 [in Ukraine].

Suprovych, M.P. (2003).Vzaiemozviazky mizh strukturnymy elementamy systemy “liudyna – zhyttieve seredovyshche” [Interrelationships between structural elements of the “human – living environment” system]. Life safety, 9, 12–14 [in Ukraine].

McMillan, M., Rodrik, D., & Sepulveda, C. (2017). Structural Change, Fundamentals, and Growth: A Framework and Country Studies. Washington DC : International Food Policy Research Institute. DOI: http://dx.doi.org/10.2499/ 9780896292147.

Klymas, R.V., Matviichuk, D.Ia., Odynets, A.V., & Neseniuk, L.P. (2019). Analiz statystychnykh danykh shchodo reahuvannia na nebezpechni podii, poviazani zpozhezhamy, v Ukraini [Analysis of statistical data on response to hazardous fire events in Ukraine] Disaster Prevention and Response (Proceedings of the Workshop). Kharkiv : NUTSZU, 76–78 [in Ukraine].

Borys, O.P. (2019). Vyznachennia napriamiv derzhavnoho rehuliuvannia u sferi pozhezhnoi bezpeky na osnovi rozghliadu danykh statystyky pozhezh [Determination of public regulation directions in the sphere of fire safety on the basis of consideration of data of fire statistics]. Scientific bulletin: Civil protection and fire safety, 1 (7), 85–91 [in Ukraine].

Martyn, O.M., & Zavada, O.P. (2016). Pozhezhna ta ekonomichna bezpeka v Ukraini, yikh vzaiemozviazok: rehionalni aspekty [Fire and economic security in Ukraine, their relationship: regional aspects]. Global and national problems of economics (electronic scientific publication), 11, 17–22 [in Ukraine].

Trubnik ,Т.Y., & Mazurenko, О.К. (2019). The Shift-Share Method: An instrument for analyzing the dynamics of industry structure of the economy. Statistics of Ukraine, 87 (4), 36–47. DOI: https://doi.org/10.31767/su.4(87)2019.04.05.

Zaccomer, G.P. (2006). Shift-share analysis with spatial structure: an application to Italian industrial districts. Transition studies review, 13 (1), 213–227.

Romanova, T.V. (2016). Intehralni pokaznyky otsiniuvannia strukturnykh zrushen v ekonomitsi [Integral evaluation indicators of structural shifts in the economy]. Economics and Region, 6 (61), 20–27 [in Ukraine].

Kalinina, A. (2016). Otsinka strukturnykh zrushen v ekonomitsi rehioniv Ukrainy [Estimation of structural changes in the economy of the regions of Ukraine]. Reporter of the Priazovskyi state technical university (Section: Economic sciences), 31(1), 184–188 [in Ukraine].

Buts, Yu.V., Barbachin, V.V., Krainiuk, O.V., Osipova, Yu.S., & Pavlichenko, P.V. (2019). Statystychnyi analiz rivnia vyrobnychoho travmatyzmu v Ukraini u rehionalnomu rozrizi [Statistical analysis of Ukraine occupational injuries in the regional context]. Scientific and technical collection “Municipal economy of cities”, 3 (149), 169–174. DOI: 10.33042/ 2522-1809-2019-3-149-169-174 [in Ukraine].

Buts, Yu.V., Barbachin, V.V., Krainiuk, O.V., Osipova, Yu.S., & Pavlichenko, P.V. (2019). Statystychnyi analiz rivnia

vyrobnychoho travmatyzmu u haluzevomu rozrizi [Statistical analysis of the level of manufacturing traumatic in the field of industry]. Scientific and technical collection “Municipal economy of cities”, 5 (151), 87–93. DOI: 10.33042/2522-1809-2019-5-151-87-93 [in Ukraine].

Pidhornyi, A.Z., & Mylashko, O.H. (2014). Statystyka turyzmu: navchalnyi posibnyk [Tourism statistics: training manual]. Odessa : ONEU [in Ukraine].

Fedoryshyna, L.M. (2018). Uzahalniuiucha kharakterystyka metodiv otsiniuvannia zdorovia dytiachoho naselennia [General characteristic of methods for assessing of the children’s population health]. Eastern Europe: Economics, Business and Management. 3 (14), 302–309 [in Ukraine].

Yakovenko, V. (2017). Metodolohichni aspekty kompleksnoi otsinky rivnia zlochynnosti u suchasnykh umovakh [Development of border regions in the system of cross-border cooperation (modern trends in the development of information technologies and economic and mathematical modeling in the system of cross-border cooperation)]. Chernivtsi : Misto, 240–243 [in Ukraine].

Statystychni metody v upravlinni rozvytkom rehionu / Za zahalnoiu redaktsiieiu kandydata ekonomichnykh nauk, profesora A.Z. Pidhornoho [Statistical methods in managing the development of the region] (2016). Оdesa : FOP Gulyaeva V.M. 218 p. [in Ukraine].

Shapovalov, V.V. (2015). Doslidzhennia zmin v strukturi VVP krain G7 na bazi rozrakhunkiv intehralnykh indeksiv [Investigation of changes in the G7 GDP structure based on the calculations of integrated indices]. Youth Economic Bulletin of KhNEU, 5, 263–266 [in Ukraine].

Maslii, V. (2013). Metodyka analizu struktury priamykh inozemnykh investytsii za vydamy ekonomichnoi diialnosti [Methodology for analyzing the structure of foreign direct investment by type of economic activity]. Ukrainian Science: past, present, future, 18, 106–115 [in Ukraine].

Published

2023-02-14

How to Cite

Suprovych, M. P., & Shutyak, O. V. (2023). STRUCTURAL ANALYSIS OF THE NUMBER OF FIRES IN UKRAINE. Podilian Bulletin: Agriculture, Engineering, Economics, (36), 36–45. https://doi.org/10.37406/2706-9052-2022-15

Issue

Section

Technical Sciences