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1 Statistics in Transition new series

1 2023

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A statistical study of climate change in Ukraine under martial law

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Kobylynska Т. , Legan I. , Motuzka O.

Statistics in Transition new series

2023

tom 24

nr 1

63-87

The article concentrates on the development of theoretical and methodological foundations of statistical research in the field of national environmental and economic accounting, which forms the basis for the development of indicators of climate change under martial law and shapes the adaptation to these changes. Given Russia's military aggression against Ukraine, the national statistical system is faced with an urgent task of ensuring the continuity of the production of complete and high quality statistical information. The issue of forming a methodology for the production of statistical information in the field of ecology, i.e. climate change statistics, remains unresolved. Outlining ways to address this issue is an important condition for the improvement of modern state statistics of Ukraine and the development of statistical theory and practice, as this largely determines the quality of the information-related support for environmental management at all levels. The statistical estimation of the dynamics and structure of greenhouse gas emissions on the basis of the economic activity of enterprises was performed. It was pointed out that among the various related branch methods of obtaining information, the system of environmental and economic accounting is the most relevant and source of high quality data. One of the aspects of solving the complex problem of forming methodological bases for collecting statistical environmental information is the creation of a national system of indicators of climate change and preparing statistical informational products using administrative data sources. The paper studies issues of producing ecological information relating to Ukraine according to statistical data. Moreover, the main problems which arise during the construction of national environmental accounts were characterised. Finally, the paper identified the key factors which influence to the largest extent the quality of statistical data and calculations, and which are necessary for the transformation and development of the statistical estimation of climate change under Russian military aggression.