scholarly journals An Empirical Study of Some Driving Factors of CO2 Emissions: Evidence from Quantile Regression

2020 ◽  
pp. 87-95
Author(s):  
Yaya KEHO
Keyword(s):  
Quantile Regression ◽  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Regression Methods ◽  
High Pollution ◽  
The Mean ◽  
Openness To Trade ◽  
Positive Effect ◽  
Do So

A growing body of research has examined the determinants of CO2 emissions. This literature has used mean-based regression methods in which only the mean effects of covariates are estimated. In this paper, we use the quantile regression methodology for a panel of 45 countries to investigate whether or not the factors that drive pollution do so in the same way for high and low pollution countries. The Environmental Kuznets Curve is confirmed and the positive effect of economic development is larger in low pollution countries. Energy consumption and financial development increase CO2 emissions and their effects are larger in countries with lower levels of pollution. Industrialization increases pollution especially in countries with higher level of pollution. Openness to trade and urbanization are negatively related to emissions in low pollution countries. All these findings suggest that pollution control policies should be tailored differently across low and high pollution countries.

scholarly journals Revisiting the Environmental Kuznets Curve Hypothesis: A Case of Central Europe

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3415
Author(s):  
Bartosz Jóźwik ◽  
Antonina-Victoria Gavryshkiv ◽  
Phouphet Kyophilavong ◽  
Lech Euzebiusz Gruszecki
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Central Europe ◽  
Environmental Kuznets Curve ◽  
European Countries ◽  
Kuznets Curve ◽  
The European Union ◽  
Ekc Hypothesis ◽  
Central European ◽  
Long Run

The rapid economic growth observed in Central European countries in the last thirty years has been the result of profound political changes and economic liberalization. This growth is partly connected with reducing carbon dioxide (CO2) emissions. However, the problem of CO2 emissions seems to remain unresolved. The aim of this paper is to test whether the Environmental Kuznets Curve (EKC) hypothesis holds true for Central European countries in an annual sample data that covers 1995–2016 in most countries. We examine cointegration by applying the Autoregressive Distributed Lag bound testing. This is the first study examining the relationship between CO2 emissions and economic growth in individual Central European countries from a long-run perspective, which allows the results to be compared. We confirmed the cointegration, but our estimates confirmed the EKC hypothesis only in Poland. It should also be noted that in all nine countries, energy consumption leads to increased CO2 emissions. The long-run elasticity ranges between 1.5 in Bulgaria and 2.0 in Croatia. We observed exceptionally low long-run elasticity in Estonia (0.49). Our findings suggest that to solve the environmental degradation problem in Central Europe, it is necessary to individualize the policies implemented in the European Union.

scholarly journals Do Aging and Low Fertility Reduce Carbon Emissions in Korea? Evidence from IPAT Augmented EKC Analysis

2020 ◽  
Vol 17 (8) ◽  
pp. 2972 ◽  
Author(s):  
Jaehyeok Kim ◽  
Hyungwoo Lim ◽  
Ha-Hyun Jo
Keyword(s):  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Population Aging ◽  
The Elderly ◽  
Ordinary Least Squares ◽  
Low Fertility ◽  
Kuznets Curve ◽  
Long Run ◽  
Carbon Dioxide Co2 ◽  
Robustness Check

The purpose of this article is to empirically find the Environmental Kuznets Curve (EKC) relationship between income and carbon dioxide (CO2) emissions and to analyze the influence of population aging on such emissions. We utilize Korean regional panel data of 16 provinces during the period from 1998 to 2016. To account for the nonstationary time series in the panel, we employ a fully modified ordinary least squares (FMOLS) and estimate long-run elasticity. From the empirical results, we can find the nonlinear relationship between income and CO2 emissions. Additionally, we verify the fact that population aging reduces CO2 emissions. A 1% increase in the proportion of the elderly results in a 0.4% decrease in CO2 emissions. On the other hand, the younger population increases CO2 emissions. These results were in line with those of additional analysis on residential and transportation CO2 emissions, for the robustness check.

A reexamination of the existence of environmental Kuznets curve for CO2 emissions: evidence from G20 countries

2016 ◽  
Vol 85 (2) ◽  
pp. 1023-1042 ◽  
Author(s):  
Guangyu Luo ◽  
Jia-Hsi Weng ◽  
Qianxue Zhang ◽  
Yu Hao
Keyword(s):  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve

scholarly journals PERTUMBUHAN PENDUDUK, INFLASI DAN KORUPSI: ANALISIS EMPIRIS ENVIRONMENTAL KUZNETS CURVE (EKC) DI KAWASAN ASEAN PERIODE 2002-2016

2019 ◽  
Vol 1 (3) ◽  
pp. 71
Author(s):  
Muhammad Fajri Setia Trianto ◽  
Evi Yulia Purwanti
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Secondary Data ◽  
Gdp Per Capita ◽  
Environmental Damage ◽  
Kuznets Curve ◽  
Per Capita ◽  
The Impact

The economy that continues to grow has the impact of environmental damage. This study aims to prove empirically the Environmental Kuznets Curve (EKC) hypothesis by analyzing the relationship of economic growth with environmental damage as measured by GDP per capita, and CO2 emissions. The data used are secondary data in the form of data on GDP per capita, CO2 emissions, population growth, inflation, and control of corruption in 10 countries in the ASEAN region in 2002-2016. Data analysis using the Fixed Effect model. The results show that there is a relationship between economic growth and environmental damage that forms an inverted U curve. Economic growth will initially have a positive effect on environmental damage so that at a point of economic growth negatively affects environmental damage. By adding control variables: population growth, inflation and corruption, inflation and corruption positively impact environmental damage, while population negatively affect environmental damage.

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