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Climate Change-Greenhouse Gas Emissions Analysis and Forecast in Romania

Author

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  • Georgiana Moiceanu

    (Department of Management and Entrepreneurship, University POLITEHNICA of Bucharest, 060042 București, Romania)

  • Mirela Nicoleta Dinca

    (Department of Biotechnical Systems, University POLITEHNICA of Bucharest, 060042 București, Romania)

Abstract

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.

Suggested Citation

  • Georgiana Moiceanu & Mirela Nicoleta Dinca, 2021. "Climate Change-Greenhouse Gas Emissions Analysis and Forecast in Romania," Sustainability, MDPI, vol. 13(21), pages 1-21, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:12186-:d:672361
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    References listed on IDEAS

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    1. Melina Dritsaki & Chaido Dritsaki, 2020. "Forecasting European Union CO2 Emissions Using Autoregressive Integrated Moving Average-autoregressive Conditional Heteroscedasticity Models," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 411-423.
    2. Yu-Jia Ding & Pi-Chu Wu & Yu-Hui Lian, 2020. "Time Series Analysis for the Dynamic Relationship between an Enterprise’s Business Growth and Carbon Emission in Taiwan," Sustainability, MDPI, vol. 12(14), pages 1-12, July.
    3. Francesco Nicola Tubiello & Riccardo Biancalani & Mirella Salvatore & Simone Rossi & Giulia Conchedda, 2016. "A Worldwide Assessment of Greenhouse Gas Emissions from Drained Organic Soils," Sustainability, MDPI, vol. 8(4), pages 1-13, April.
    4. Menglu Li & Wei Wang & Gejirifu De & Xionghua Ji & Zhongfu Tan, 2018. "Forecasting Carbon Emissions Related to Energy Consumption in Beijing-Tianjin-Hebei Region Based on Grey Prediction Theory and Extreme Learning Machine Optimized by Support Vector Machine Algorithm," Energies, MDPI, vol. 11(9), pages 1-15, September.
    5. Seater, John J, 1993. "World Temperature-Trend Uncertainties and Their Implications for Economic Policy," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 265-277, July.
    6. Eleni Zafeiriou & Ioannis Mallidis & Konstantinos Galanopoulos & Garyfallos Arabatzis, 2018. "Greenhouse Gas Emissions and Economic Performance in EU Agriculture: An Empirical Study in a Non-Linear Framework," Sustainability, MDPI, vol. 10(11), pages 1-18, October.
    7. Kun Mo Lee & Min Hyeok Lee & Jong Seok Lee & Joo Young Lee, 2020. "Uncertainty Analysis of Greenhouse Gas (GHG) Emissions Simulated by the Parametric Monte Carlo Simulation and Nonparametric Bootstrap Method," Energies, MDPI, vol. 13(18), pages 1-15, September.
    8. Reham Alhindawi & Yousef Abu Nahleh & Arun Kumar & Nirajan Shiwakoti, 2020. "Projection of Greenhouse Gas Emissions for the Road Transport Sector Based on Multivariate Regression and the Double Exponential Smoothing Model," Sustainability, MDPI, vol. 12(21), pages 1-18, November.
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