The influence of macroeconomic indicators on the emission of greenhouse gases. Treatment of outliers Case study - Romcnia
This paper implements the multiple linear regression method in order to determine the correlation between a number of independent variables and a dependent variable. It begins with a brief introduction explaining the purpose of this analysis, and continues with the implementation of the econometric...
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Veröffentlicht in: | Bulletin of the Transilvania University of Brașov. Series V, Economic science Economic science, 2015-01, Vol.8 (1), p.233 |
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Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | This paper implements the multiple linear regression method in order to determine the correlation between a number of independent variables and a dependent variable. It begins with a brief introduction explaining the purpose of this analysis, and continues with the implementation of the econometric model in order to calculate the coefficient of determination that the four significant macroeconomic indicators, namely the amount of energy produced from renewable sources, gross domestic product (GDP), the price of Brent oil barrel on the European market and the energy intensity of the economy have on total emissions of greenhouse gases in Romania. The final part will expose the conclusions of the present analysis. |
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ISSN: | 2065-2194 |