Do economic achievements and environmental consequences coincide? The case of cyclicity
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Author(s)Oleksandr KubatkoLink to ORCID Index: https://orcid.org/0000-0001-6396-5772
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Péter NémethLink to ORCID Index: https://orcid.org/0000-0002-7825-6773
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Leonid MelnykLink to ORCID Index: https://orcid.org/0000-0001-7824-0678
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Volodymyr LyubchakLink to ORCID Index: https://orcid.org/0000-0002-7335-6716
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Natalia BarchenkoLink to ORCID Index: https://orcid.org/0000-0002-5439-8750
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DOIhttp://dx.doi.org/10.21511/ee.16(4).2025.09
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Article InfoVolume 16 2025, Issue #4, pp. 134-153
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Type of the article: Research Article
Abstract
The significance of green economic growth opens up a new space for studying cyclical development processes, raising the issue of coexistence between sustainable development and the cyclical features of economic growth. The purpose of this study is to identify statistically significant relationships between cyclical components (fluctuations) of economic growth and environmental consequences within national economic systems. The paper utilizes Hodrick–Prescott and Butterworth bandpass filters to detrend dynamic series of ecological and economic development, highlighting cyclical components (fluctuations) that are analyzed for the presence of correlation in the referenced and lag periods (to identify procyclical and lag dynamics). The analysis uses statistical data from the World Bank for Ukraine and Hungary for 1991–2022. The results prove that for Ukraine with an increase in the cyclical component of GDP per capita there is a cyclical increase in pollution indicators, according to the Butterworth filter for NOx emissions from industrial combustion (correlation coefficient 0.72), F-gases emissions from industrial processes (correlation coefficient 0.77), CO2 emissions excluding LULUCF (correlation coefficient 0.70). The situation with Hungary is different, and the business cycle is not correlated with pollution fluctuations. The paper does not find a statistically significant relationship between the business cycle and fluctuations in methane (CH4) emissions from waste (Mt CO2e). Overall, most economic and environmental components are procyclical in nature, with the strongest correlation in the reference period for a developing industrial economy (Ukraine). In contrast, there is no such link within a more developed economy (Hungary).
Acknowledgments
This research was conducted within the project “Restructuring of the national economy in the direction of digital transformations for sustainable development” (№0122U001232) funded by the National Research Foundation of Ukraine.
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JEL Classification (Paper profile tab)E32, Q53, F43, O13
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References44
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Tables1
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Figures6
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- Figure 1. Medium-term fluctuations between nitrous oxide (N2O) emissions from transport (energy) (Mt CO2e) and GDP per capita (current USD) for Ukraine for 1991–2022
- Figure 2. Medium-term fluctuations between F-gases emissions from industrial processes (Mt CO2e) and GDP per capita (current USD) for Ukraine for 1991–2022
- Figure 3. Medium-term fluctuations between nitrous oxide (N2O) emissions from transport (energy) (Mt CO2e), F-gases emissions from industrial processes (Mt CO2e), and GDP per capita (current USD) for Hungary for 1991–2022
- Figure B1. Medium-term fluctuations between merchandize imports (current USD) and GDP per capita (current USD) for Ukraine, 1991–2022
- Figure B2. Medium-term fluctuations between methane (CH4) emissions from waste (Mt CO2e) and GDP per capita (current USD) for Ukraine, 1991–2022
- Figure B3. Medium-term fluctuations between GDP per unit of energy use (constant 2021 PPP D per kg of oil equivalent) and GDP per capita (current USD) for Ukraine, 1991–2022
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- Table C1. Summary table of values of correlation coefficients K (excluding lags) between a set of economic and environmental indicators and GDP per capita (current USD) for Ukraine, 1991–2022
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A review on household energy consumption behavior: how about migrated consumers?
Ebru Acuner ,
M. Özgür Kayalica
doi: http://dx.doi.org/10.21511/ee.09(4).2018.02
Environmental Economics Volume 9, 2018 Issue #4 pp. 8-21 Views: 3159 Downloads: 1110 TO CITE АНОТАЦІЯThis paper reviews the literature on energy consumption behavior for both domestic and migrated/displaced population and aims to recommend crucial policy measures for creating awareness on the energy efficiency. Consumers’ adoption to the efficient usage of energy varies depending on demographic, behavioral and situational dynamics in their households and societies. The regional or national strategies to implement efficient technologies for the consumer engagement are crucial to change their behaviors. Migrants affect the energy usage patterns in the host country due to their different usage behaviors. Any type of measures for migrated population should include available, acceptable, accessible and affordable energy efficiency applications to engage them with the domestic population.
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The interplay between technological innovation, energy efficiency, and economic growth: Evidence from 30 European countries
Viktoriia Koilo ,
Ola Honningdal Grytten ,
Jan Emblemsvag
doi: http://dx.doi.org/10.21511/ppm.20(3).2022.36
Problems and Perspectives in Management Volume 20, 2022 Issue #3 pp. 448-464 Views: 1877 Downloads: 845 TO CITE АНОТАЦІЯIt is assumed that technological progress plays a vital role in energy efficiency improvements when the effects of industrial restructuring, infrastructure, environmental challenges, and economic shocks seem more dubious. However, a limited number of studies have been conducted to examine the impact of technological innovation on countries’ energy efficiency levels. This study aims to explore the relationship between energy efficiency, technological innovation, and economic growth in 30 European countries by utilizing data from 2012 to 2020. To this end, a two-stage analysis is carried out. The first step involves estimating the total factor energy efficiency (TFEE) by the countries to illustrate the effects of energy parameters on economic growth and the environment, and technological innovation (TI) to estimate the innovation capability of each country by using data envelopment analysis (DEA) methodology. The second step includes a panel regression model to explore how technological innovation affects energy efficiency, considering the degree of government intervention, industrial structure, infrastructure, and economic openness.
The results indicate that the bottom-15 countries, whose TFEE scores were the lowest, are mainly countries of Central and Eastern Europe. Regarding the countries’ technological capability, the results were similar, but the score was lower than the TFEE.
Moreover, the regression analysis shows that a one percent increase in innovation activity contributes to an increase in energy efficiency by 0.27 percent. Hence, it confirms the notion of a positive impact of new technology on energy efficiency.Acknowledgments
The study is supported by the grant from the Research Based Innovation “SFI Marine Operation in Virtual Environment (SFI-MOVE)” (Project No. 237929) in Norway. -
The role of universities in ensuring energy efficiency and sustainability: Investigating the link between UI GreenMetric ranking and countries’ sustainability indicators
Denys Smolennikov ,
Alina Raboshuk ,
Oksana Drebot ,
Zhanna Oleksich ,
Liudmyla Huliaieva
doi: http://dx.doi.org/10.21511/kpm.08(2).2024.10
Knowledge and Performance Management Volume 8, 2024 Issue #2 pp. 127-143 Views: 1615 Downloads: 537 TO CITE АНОТАЦІЯThe article analyzes the role of universities, assessed through the prism of the UI GreenMetric World University Rankings (UI GreenMetric) methodology, in ensuring energy efficiency and sustainability of the national economy. For this purpose, UI GreenMetric results, systematized by country and region, were used, as well as data for 2017–2022 on countries’ progress in achieving SDG 7 and the national level of primary energy intensity. The analysis of trends in the development of sustainable universities according to UI GreenMetric shows regional differences: on average, the highest scores in the ranking are given to universities in OECD countries and East and South Asia, and the lowest – to Sub-Saharan Africa and Eastern Europe & Central Asia. A positive correlation (from 13.9% to 18.7% of the variation) was found between the activities of universities and the countries’ progress in achieving SDG 7, as well as a negative correlation with the energy intensity of the level of primary energy of these countries; this proves the participation of higher education institutions in ensuring the energy efficiency of national economies (the level of influence is much lower, the explanation of model variations is 2.4%-8.2%). The role of universities is not only to develop green campuses but also to increase research, create new educational programs, develop cross-sectoral cooperation and ‘living laboratories’ to implement sustainable development practices, and train future leaders capable of overcoming global energy challenges.
