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Volume 20
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Article

Energy Logistic Regression and Survival Model: Case Study of Russian Exports

by
Karel Malec
1,
Socrates Kraido Majune
2,
Elena Kuzmenko
1,
Joseph Phiri
1,
Rahab Liz Masese Nyamoita
2,
Seth Nana Kwame Appiah-Kubi
1,
Mansoor Maitah
1,*,
Luboš Smutka
3,
Zdeňka Gebeltová
1,
Karel Tomšík
1,
Sylvie Kobzev Kotásková
4 and
Jiří Marušiak
1
1
Department of Economics, Faculty of Economics and Management, Czech University of Life Sciences, 165 00 Prague, Czech Republic
2
School of Economics, University of Nairobi, Nairobi 30197-00100, Kenya
3
Department of Trade and Finance, Faculty of Economics and Management, Czech University of Life Sciences, 165 00 Prague, Czech Republic
4
Department of Humanities, Faculty of Economics and Management, Czech University of Life Sciences, 165 00 Prague, Czech Republic
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2023, 20(1), 885; https://doi.org/10.3390/ijerph20010885
Submission received: 24 November 2022 / Revised: 28 December 2022 / Accepted: 29 December 2022 / Published: 3 January 2023
(This article belongs to the Special Issue Sustainable Development in Human Environment—Current and Future Challenges)
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Abstract

The importance of environmental sustainability is becoming more and more obvious, so the rationale behind long-term usage of solely non-renewable energy sources appeared questionable. This study aims to identify, using Kaplan-Meier survival analysis and logistic regressions, the main determinants that affect the duration of Russian non-renewable energy exports to different regions of the world. Data were retrieved from the databanks of the World Development Indicators (WDI), World Integrated Trade Solution (WITS), and the French Centre for Prospective studies and International Information (CEPII). The obtained results point to the fact that approximately 52% of energy products survive beyond their first year of trading, nearly 38% survive beyond the second year, and almost 18% survive to the twelfth year. The survival of Russian non-renewable energy exports differs depending on the region, and the affecting factors are of different importance. The duration of Russian non-renewable energy exports is significantly linked to Russia’s GDP, Total export, and Initial export values. A decline in Russia’s GDP by 1% is associated with an increasing probability of a spell ending by 2.9% on average, in turn growing Total export and Initial export values positively linked with the duration of non-renewable energy exports from Russia. These findings may have practical relevance for strategic actions aimed at approaching both energy security and environmental sustainability.
Keywords: non-renewable energy exports; discrete-time model; survival analysis; Russia; environmental sustainability non-renewable energy exports; discrete-time model; survival analysis; Russia; environmental sustainability

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MDPI and ACS Style

Malec, K.; Majune, S.K.; Kuzmenko, E.; Phiri, J.; Nyamoita, R.L.M.; Appiah-Kubi, S.N.K.; Maitah, M.; Smutka, L.; Gebeltová, Z.; Tomšík, K.; et al. Energy Logistic Regression and Survival Model: Case Study of Russian Exports. Int. J. Environ. Res. Public Health 2023, 20, 885. https://doi.org/10.3390/ijerph20010885

AMA Style

Malec K, Majune SK, Kuzmenko E, Phiri J, Nyamoita RLM, Appiah-Kubi SNK, Maitah M, Smutka L, Gebeltová Z, Tomšík K, et al. Energy Logistic Regression and Survival Model: Case Study of Russian Exports. International Journal of Environmental Research and Public Health. 2023; 20(1):885. https://doi.org/10.3390/ijerph20010885

Chicago/Turabian Style

Malec, Karel, Socrates Kraido Majune, Elena Kuzmenko, Joseph Phiri, Rahab Liz Masese Nyamoita, Seth Nana Kwame Appiah-Kubi, Mansoor Maitah, Luboš Smutka, Zdeňka Gebeltová, Karel Tomšík, and et al. 2023. "Energy Logistic Regression and Survival Model: Case Study of Russian Exports" International Journal of Environmental Research and Public Health 20, no. 1: 885. https://doi.org/10.3390/ijerph20010885

APA Style

Malec, K., Majune, S. K., Kuzmenko, E., Phiri, J., Nyamoita, R. L. M., Appiah-Kubi, S. N. K., Maitah, M., Smutka, L., Gebeltová, Z., Tomšík, K., Kobzev Kotásková, S., & Marušiak, J. (2023). Energy Logistic Regression and Survival Model: Case Study of Russian Exports. International Journal of Environmental Research and Public Health, 20(1), 885. https://doi.org/10.3390/ijerph20010885

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