scholarly journals Using Quantile Regression to Analyze the Relationship between Socioeconomic Indicators and Carbon Dioxide Emissions in G20 Countries

2021 ◽  
Vol 13 (13) ◽  
pp. 7011
Author(s):  
Abdulaziz A. Alotaibi ◽  
Naif Alajlan

Numerous studies addressed the impacts of social development and economic growth on the environment. This paper presents a study about the inclusive impact of social and economic factors on the environment by analyzing the association between carbon dioxide (CO2) emissions and two socioeconomic indicators, namely, Human Development Index (HDI) and Legatum Prosperity Index (LPI), under the Environmental Kuznets Curve (EKC) framework. To this end, we developed a two-stage methodology. At first, a multivariate model was constructed that accurately explains CO2 emissions by selecting the appropriate set of control variables based on model quality statistics. The control variables include GDP per capita, urbanization, fossil fuel consumption, and trade openness. Then, quantile regression was used to empirically analyze the inclusive relationship between CO2 emissions and the socioeconomic indicators, which revealed many interesting results. First, decreasing CO2 emissions was coupled with inclusive socioeconomic development. Both LPI and HDI had a negative marginal relationship with CO2 emissions at quantiles from 0.2 to 1. Second, the EKC hypothesis was valid for G20 countries during the study period with an inflection point around quantile 0.15. Third, the fossil fuel consumption had a significant positive relation with CO2 emissions, whereas urbanization and trade openness had a negative relation during the study period. Finally, this study empirically indicates that effective policies and policy coordination on broad social, living, and economic dimensions can lead to reductions in CO2 emissions while preserving inclusive growth.

2020 ◽  
Vol 5 (1) ◽  
pp. 21-43
Author(s):  
Folorunso Sunday Ayadi ◽  

This study investigates the impact of energy subsidy, energy consumption, urbanization, economic growth, foreign direct investment, and trade openness on carbon dioxide emission and other greenhouse gases in Nigeria. Based on the method of cointegration and Autoregressive Distributed Lag (ARDL), the study utilized data from 1970 to 2018 for the analysis. The study found fossil fuel consumption, economic growth, trade openness and PMS Price (a proxy for subsidy) as significantly increasing emission (Carbon dioxide) in Nigeria. The implication is that as that as the prices of PMS goes up (due to subsidy reduction), more of fuel is consumed. Our analysis demonstrated that PMS is price inelastic in Nigeria. In addition, subsidy or its removal will have no impact on carbon dioxide emission and other greenhouse gas emission in Nigeria. The study recommends the development of cleaner, renewable fuels and the development of abatement technology so as to mitigate the environmental impacts of growth. In addition, since the reduction in subsidy has no deterrent impact on fossil fuel consumption in Nigeria, then the recent removal of fossil fuel subsidy in Nigeria is a welcome development at least for the environment.


Tellus B ◽  
2011 ◽  
Vol 63 (3) ◽  
Author(s):  
R. J. Andres ◽  
J. S. Gregg ◽  
L. Losey ◽  
G. Marland ◽  
T. A. Boden

2019 ◽  
Vol 4 (02) ◽  
pp. 113
Author(s):  
Melati Intan Kurnia ◽  
Hadi Sasana ◽  
Yustirania Septiani

<p><em>Increasing economic growth will spark against increased energy consumption. But on the other hand, increasing economic growth will also trigger the occurrence of natural damage and degradation of environmental quality derived from CO2 emissions. CO2 emissions are caused by oxidation process of fossil fuel energy. This research aims to know the causality relationship between CO2 emissions, fossil fuel consumption, electricity consumption, and economic growth in Indonesia, as well as long-term relationship between CO2 emissions, fossil fuel consumption, electricity consumption, to economic growth in Indonesia in 1990 – 2019. The used data is the secondary data that is in the form of data time series. The dependent variables of this study are economic growth, while independent variables are CO2 emissions, fossil fuel consumption, electricity consumption. The method that is used in this study is Vector Error Correction Model. The results showed that there was a one-way causality between economic growth and fossil fuel consumption, and between electricity consumption and CO2 emissions. The research also shows that on long-term CO2 emissions has a negative influence, while the consumption of fossil fuels and electricity has a positive effect on Indonesia's economic growth in 1990-2019.</em></p><p><strong><em>K</em></strong><strong><em>eywords</em></strong><em>: CO2, Energy Consumption, Economic Growth.</em></p>


Tellus B ◽  
2011 ◽  
Vol 63 (3) ◽  
pp. 309-327 ◽  
Author(s):  
R. J. Andres ◽  
J. S. Gregg ◽  
L. Losey ◽  
G. Marland ◽  
T. A. Boden

2021 ◽  
Vol 97 ◽  
pp. 105170
Author(s):  
L. Vanessa Smith ◽  
Nori Tarui ◽  
Takashi Yamagata

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