The Influence of macroeconomic indicators on the emission of greenhouse gases. Treatment of outliers. Case study - România

AuthorGradinaru E., Bratucu G., Bucs L.
Pages233-248
Bulletin of the Transilvania University of Braşov
Series: Economic Sciences • Vol. 8 (57) No. 1 – 2015
The influence of macroeconomic indicators on the
emission of greenhouse gases. Treatment of outliers
Case study - România
Evelina GRDINARU 1, Lorant BUCS2, Gabriel BRTUCU3
Abstract: 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.
Key-words: econometric model, regression, renewable energy, greenhouse gases.
1. Introduction
This paper aims to achieve a detailed analysis of the significant impact of several
macroeconomic factors on greenhouse gas emissions. The need for such an analysis
comes from a major concern that is currently observed both at a global, national and
multinational level, for achieving the aspirations of sustainable ecological and
economic development. Therefore, it will be demonstrated further along that
apparently independent factors have a significant influence on each other with a
decisive impact on environmental quality.
2. Objectives of the analysis
It is well known that global warming is a phenomenon whose magnitude has
taken alarming proportions, both nationally and globally. Ultimately, the quality of
1 Transilvania University of Braşov, evelina.gradinaru@gmail.com
2 Transilvania University of Braşov, lorand.bucs@unitbv.ro
3 Transilvania University of Braşov, gabriel.bratucu@unitbv.ro
Evelina GRDINARU, Lorand BUCS, Gabriel BRTUCU
234
life of each individual depends on the quality of the environment and human
influence was noted through its rather negative than positive effects. In order to
correct this injustice brought to the planet, a series of measures are being
implemented in order to improve the current adverse effects of human lifestyle on
the environment.
One of the most important challenges is represented by global warming
caused by emissions of greenhouse gases in the atmosphere and measures such as
limiting emissions from industry and transport or looking for alternative sources of
energy became mandatory in most countries.
The European Union is one of the strongest supporters of reducing
greenhouse gas emissions and Romania, as a member of this organization, aligns
with European environmental policies. If in some areas, such as GDP and energy
consumption, there are still noticeable differences between our country and other
member states, in other sectors, such as renewable energy, the results are more than
satisfactory. To support this assertion, there is a relatively easy to calculate indicator:
the amount of energy produced from renewable sources per GDP. Thus, while the
EU average is around 14 tons of oil equivalent energy to 1 million euro GDP, in
Romania this value reaches approximately 38 tons.
Given these considerations, the objective of this analysis is 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.
3. The econometric model
The study considers representative data for the period 2004 -2013, in order to
determine the extent to which exogenous variables considered here the production of
energy from renewable sources (x1), GDP (x2), oil prices (x3) and the energy
intensity of the economy (x4) explain variations of the endogenous variable, which
is the production of renewable energy (y).
The table below shows the values of the indicators referred to Romania:

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