Climate Change-Greenhouse Gas Emissions Analysis and Forecast in Romania

Greenhouse gases (GHG), such as carbon dioxide, methane, nitrous oxide, and other gases, are considered to be the main cause of global climate change, and this problem has received significant global attention. Carbon dioxide has been considered the most significant gas contributing to global climat...

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Autores principales:	Georgiana Moiceanu, Mirela Nicoleta Dinca
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	climate change greenhouse gas emissions environment carbon dioxide EU GHG emissions forecast analysis Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/01e1c9fddcc24515b2af465a630bea27
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spelling	oai:doaj.org-article:01e1c9fddcc24515b2af465a630bea272021-11-11T19:47:12ZClimate Change-Greenhouse Gas Emissions Analysis and Forecast in Romania10.3390/su1321121862071-1050https://doaj.org/article/01e1c9fddcc24515b2af465a630bea272021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/12186https://doaj.org/toc/2071-1050Greenhouse gases (GHG), such as carbon dioxide, methane, nitrous oxide, and other gases, are considered to be the main cause of global climate change, and this problem has received significant global attention. Carbon dioxide has been considered the most significant gas contributing to global climate change. Our paper presents an analysis of the greenhouse gas emissions in Romania along with a forecast for the years to come. For the study, data from the National Institute of Statistics and Eurostat were gathered and used for the analysis in order to present the results. To obtain the results, the data gathered were analyzed using forecasting methods that can be of help in solving some uncertainties that surround the future. The greenhouse gas (GHG) emissions trends in Romania were analyzed both for linear and exponential function methods. The obtained results showed that the linear function analysis of total GHG emissions in Romania had a forecast accuracy higher than the exponential function method. From the analytical methods used we can draw the conclusion that the emissions are on a descending scale and choosing a proper method is important in analyzing data.Georgiana MoiceanuMirela Nicoleta DincaMDPI AGarticleclimate changegreenhouse gas emissionsenvironmentcarbon dioxideEU GHG emissionsforecast analysisEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12186, p 12186 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	climate change greenhouse gas emissions environment carbon dioxide EU GHG emissions forecast analysis Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	climate change greenhouse gas emissions environment carbon dioxide EU GHG emissions forecast analysis Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Georgiana Moiceanu Mirela Nicoleta Dinca Climate Change-Greenhouse Gas Emissions Analysis and Forecast in Romania
description	Greenhouse gases (GHG), such as carbon dioxide, methane, nitrous oxide, and other gases, are considered to be the main cause of global climate change, and this problem has received significant global attention. Carbon dioxide has been considered the most significant gas contributing to global climate change. Our paper presents an analysis of the greenhouse gas emissions in Romania along with a forecast for the years to come. For the study, data from the National Institute of Statistics and Eurostat were gathered and used for the analysis in order to present the results. To obtain the results, the data gathered were analyzed using forecasting methods that can be of help in solving some uncertainties that surround the future. The greenhouse gas (GHG) emissions trends in Romania were analyzed both for linear and exponential function methods. The obtained results showed that the linear function analysis of total GHG emissions in Romania had a forecast accuracy higher than the exponential function method. From the analytical methods used we can draw the conclusion that the emissions are on a descending scale and choosing a proper method is important in analyzing data.
format	article
author	Georgiana Moiceanu Mirela Nicoleta Dinca
author_facet	Georgiana Moiceanu Mirela Nicoleta Dinca
author_sort	Georgiana Moiceanu
title	Climate Change-Greenhouse Gas Emissions Analysis and Forecast in Romania
title_short	Climate Change-Greenhouse Gas Emissions Analysis and Forecast in Romania
title_full	Climate Change-Greenhouse Gas Emissions Analysis and Forecast in Romania
title_fullStr	Climate Change-Greenhouse Gas Emissions Analysis and Forecast in Romania
title_full_unstemmed	Climate Change-Greenhouse Gas Emissions Analysis and Forecast in Romania
title_sort	climate change-greenhouse gas emissions analysis and forecast in romania
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/01e1c9fddcc24515b2af465a630bea27
work_keys_str_mv	AT georgianamoiceanu climatechangegreenhousegasemissionsanalysisandforecastinromania AT mirelanicoletadinca climatechangegreenhousegasemissionsanalysisandforecastinromania
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Climate Change-Greenhouse Gas Emissions Analysis and Forecast in Romania

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