CO<sub>2</sub> Emissions and Macroeconomic Indicators: Analysis of the Most Polluted Regions in the World
There is no sector of the economy that is not dependent on the state of development of the energy sector. This sector produces a significant share of global CO<sub>2</sub> emissions. Harmful CO<sub>2</sub> emissions and greenhouse gas emissions accelerate global warming. Ther...
| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
MDPI AG
2022-04-01
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| coleção: | Energies |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/1996-1073/15/8/2928 |
| _version_ | 1827619827626278912 |
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| author | Nestor Shpak Solomiya Ohinok Ihor Kulyniak Włodzimierz Sroka Yuriy Fedun Romualdas Ginevičius Joanna Cygler |
| author_facet | Nestor Shpak Solomiya Ohinok Ihor Kulyniak Włodzimierz Sroka Yuriy Fedun Romualdas Ginevičius Joanna Cygler |
| author_sort | Nestor Shpak |
| collection | DOAJ |
| description | There is no sector of the economy that is not dependent on the state of development of the energy sector. This sector produces a significant share of global CO<sub>2</sub> emissions. Harmful CO<sub>2</sub> emissions and greenhouse gas emissions accelerate global warming. Therefore, more and more countries are adopting a strategy for the transition to carbon-neutral energy. However, energy independence and economic competitiveness are closely linked. One cannot analyze them separately. Given these facts, we focused on conducting an econometric study of the impact of key macroeconomic indicators on the level of CO<sub>2</sub> emissions into the air in the United States and the Asia-Pacific region as the regions with the largest CO<sub>2</sub> emissions. The modeling was carried out using the method of a correlation–regression analysis with the subsequent construction of econometric models. The quality of the built econometric models was checked using the coefficient of determination and Fisher’s criterion. The sample of statistics was formed from all the available values of the World Bank’s annual indicators for the period 1970–2020. The findings achieved showed that: (i) The results of our study confirmed the dependence of CO<sub>2</sub> emissions on macroeconomic factors such as GDP, exports and imports, the rate of inflation, and unemployment. It allows the governments of many countries to use research findings to diagnose, monitor, and forecast macroeconomic outcomes to reduce or maintain allowable CO<sub>2</sub> emissions. (ii) Identifying and assessing economic losses from environmental pollution by CO<sub>2</sub> emissions using econometric models will allow to ensure effective public environmental and economic policies aimed at reducing harmful CO<sub>2</sub> emissions into the air. It may be regarded as the practical importance of our study. |
| first_indexed | 2024-03-09T10:38:09Z |
| format | Article |
| id | doaj.art-e11e1c1badb142f69a031956431b77da |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T10:38:09Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-e11e1c1badb142f69a031956431b77da2023-12-01T20:50:42ZengMDPI AGEnergies1996-10732022-04-01158292810.3390/en15082928CO<sub>2</sub> Emissions and Macroeconomic Indicators: Analysis of the Most Polluted Regions in the WorldNestor Shpak0Solomiya Ohinok1Ihor Kulyniak2Włodzimierz Sroka3Yuriy Fedun4Romualdas Ginevičius5Joanna Cygler6Institute of Economics and Management, Lviv Polytechnic National University, 79013 Lviv, UkraineInstitute of Economics and Management, Lviv Polytechnic National University, 79013 Lviv, UkraineInstitute of Economics and Management, Lviv Polytechnic National University, 79013 Lviv, UkraineDepartment of Management, Faculty of Applied Sciences, WSB University, Cieplaka 1c, 41-300 Dąbrowa Górnicza, PolandDepartment of International Economic Relations, Faculty of International Relations, Ivan Franko National University Lviv, 79000 Lviv, UkraineInternational Department of Logistics and Service Engineering, Białystok University of Technology, Wiejska 45A, 15-351 Bialystok, PolandCollegium of Management and Finance, SGH Warsaw School of Economics, Al. Niepodległości 162, 02-554 Warsaw, PolandThere is no sector of the economy that is not dependent on the state of development of the energy sector. This sector produces a significant share of global CO<sub>2</sub> emissions. Harmful CO<sub>2</sub> emissions and greenhouse gas emissions accelerate global warming. Therefore, more and more countries are adopting a strategy for the transition to carbon-neutral energy. However, energy independence and economic competitiveness are closely linked. One cannot analyze them separately. Given these facts, we focused on conducting an econometric study of the impact of key macroeconomic indicators on the level of CO<sub>2</sub> emissions into the air in the United States and the Asia-Pacific region as the regions with the largest CO<sub>2</sub> emissions. The modeling was carried out using the method of a correlation–regression analysis with the subsequent construction of econometric models. The quality of the built econometric models was checked using the coefficient of determination and Fisher’s criterion. The sample of statistics was formed from all the available values of the World Bank’s annual indicators for the period 1970–2020. The findings achieved showed that: (i) The results of our study confirmed the dependence of CO<sub>2</sub> emissions on macroeconomic factors such as GDP, exports and imports, the rate of inflation, and unemployment. It allows the governments of many countries to use research findings to diagnose, monitor, and forecast macroeconomic outcomes to reduce or maintain allowable CO<sub>2</sub> emissions. (ii) Identifying and assessing economic losses from environmental pollution by CO<sub>2</sub> emissions using econometric models will allow to ensure effective public environmental and economic policies aimed at reducing harmful CO<sub>2</sub> emissions into the air. It may be regarded as the practical importance of our study.https://www.mdpi.com/1996-1073/15/8/2928CO<sub>2</sub> emissionsenergy sectorGDPexportsimportsinflation |
| spellingShingle | Nestor Shpak Solomiya Ohinok Ihor Kulyniak Włodzimierz Sroka Yuriy Fedun Romualdas Ginevičius Joanna Cygler CO<sub>2</sub> Emissions and Macroeconomic Indicators: Analysis of the Most Polluted Regions in the World Energies CO<sub>2</sub> emissions energy sector GDP exports imports inflation |
| title | CO<sub>2</sub> Emissions and Macroeconomic Indicators: Analysis of the Most Polluted Regions in the World |
| title_full | CO<sub>2</sub> Emissions and Macroeconomic Indicators: Analysis of the Most Polluted Regions in the World |
| title_fullStr | CO<sub>2</sub> Emissions and Macroeconomic Indicators: Analysis of the Most Polluted Regions in the World |
| title_full_unstemmed | CO<sub>2</sub> Emissions and Macroeconomic Indicators: Analysis of the Most Polluted Regions in the World |
| title_short | CO<sub>2</sub> Emissions and Macroeconomic Indicators: Analysis of the Most Polluted Regions in the World |
| title_sort | co sub 2 sub emissions and macroeconomic indicators analysis of the most polluted regions in the world |
| topic | CO<sub>2</sub> emissions energy sector GDP exports imports inflation |
| url | https://www.mdpi.com/1996-1073/15/8/2928 |
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