scholarly journals DO ENERGY CONSUMPTION AND ENVIRONMENTAL DEGRADATION (CO2 EMISSIONS) MATTER FOR ECONOMIC GROWTH? FRESH EVIDENCE FROM A DEVELOPING ECONOMY

2021 ◽  
Vol 11 (5) ◽  
pp. 289-297
Author(s):  
Md. Nazmus Sadekin ◽  
Md. Mahbub Alam ◽  
Syed Moudud-Ul-Huq ◽  
Mohammad Ghozali Hassan ◽  
Tarequl Islam
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Environmental Degradation ◽  
Developing Economy

scholarly journals The relationship between energy consumption, economic growth and carbon dioxide emissions in Pakistan

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Muhammad Kamran Khan ◽  
Muhammad Imran Khan ◽  
Muhammad Rehan
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Environmental Degradation ◽  
Carbon Dioxide Emissions ◽  
Time Series Data ◽  
Renewable Energy Sources ◽  
Series Data ◽  
Energy Sources

AbstractDeveloping countries are facing the problem of environmental degradation. Environmental degradation is caused by the use of non-renewable energy consumptions for economic growth but the consequences of environmental degradation cannot be ignored. This primary purpose of this study is to investigate the nexus between energy consumption, economic growth and CO2 emission in Pakistan by using annual time series data from 1965 to 2015. The estimated results of ARDL indicate that energy consumption and economic growth increase the CO2 emissions in Pakistan both in short run and long run. Based on the estimated results it is recommended that policy maker in Pakistan should adopt and promote such renewable energy sources that will help to meet the increased demand for energy by replacing old traditional energy sources such as coal, gas, and oil. Renewable energy sources are reusable that can reduce the CO2 emissions and also ensure sustainable economic development of Pakistan.

Impact of Globalization and Renewable Energy Consumption on Environmental Degradation: A Lesson for South Africa

2021 ◽  
Vol 11 (1) ◽  
pp. 145-155
Author(s):  
Seun Damola Oladipupo ◽  
Husam Rjoub ◽  
Dervis Kirikkaleli ◽  
Tomiwa Sunday Adebayo
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Environmental Degradation ◽  
Energy Use ◽  
Sustainable Growth ◽  
Renewable Energy Consumption ◽  
Nonrenewable Energy

South Africa is one of Africa's most polluted countries, with rising CO2 emissions posing a threat. South Africa must discover ways of minimizing pollution and take necessary steps before it is too late in order to achieve sustainable growth. For this purpose, this research assesses the ecological consequences of globalization, nonrenewable energy use, economic growth and renewable energy consumption in South Africa. The study leverages on the non-linearity advantages of the novel quantile on quantile regression (QQR) method for a robust analysis as opposed to the use of conventional linear approaches, thereby overcoming conspicuous shortfalls in extant studies, while offering a detailed explanation of the overall dependency structure between CO2 emissions and globalization, nonrenewable energy use and renewable energy use using a dataset covering the period between 1970 and 2018. The outcomes suggest that nonrenewable energy use, globalization, and economic growth contribute to environmental degradation in the majority of the quantiles, while the effect of renewable energy use on CO2 is not strong at all quantiles. The study highlights that economic expansion, nonrenewable energy use and globalization play key roles in in mitigating environmental sustainability in South Africa, while renewable energy is not sufficient to meet environmental requirements.

scholarly journals Impact of Private Investment, Economic Growth and Financial Development on Environmental Degradation: Evidence from Pakistan

2021 ◽  
Vol 7 (1) ◽  
pp. 13-24
Author(s):  
Shabana Parveen ◽  
Bibi Aisha Sadiqa ◽  
Sher Ali ◽  
Farrah Yasmin
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Linear Regression ◽  
Regression Model ◽  
Co2 Emissions ◽  
Financial Development ◽  
Environmental Degradation ◽  
Linear Regression Model ◽  
Private Investment ◽  
The Impact

Private investment plays an important role in the process of economic growth and also impact natural environment of a country. The main purpose of the present study is to empirically analyze the impact of private investment and other macro economic variables on environmental degradation of Pakistan. For the purpose, time series data is collected for the years  1975 to 2017. The study used Linear regression model for analyzing the impact of private investment, energy consumption, financial development and economic growth on environmental degradation. Augmented Dickey Fuller (ADF) test and Phillips Perron (PP) test is used for identifying the unit root of the variables; first with an intercept then, with an intercept and a linear deterministic trend. Akaike Information Criterion (AIC) is used for selection of optimum lag whereas Johansen cointegration test is adopted for analyzing  long run association in the variables. The results of linear regression model show that energy consumption and economic growth have a positive and statistically significant impact on CO2 emissions whereas the impact of private investment on CO2 emissions is negative. It means that in Pakistan, private investment is environment friendly. Based on study results, it is recommended that  when formulating policies for economic growth and development,  motivation should be given to private inverters in order to increase private investment.

scholarly journals Impact of Economic Affluence on CO2 Emissions in CEE Countries

Energies ◽  
2022 ◽  
Vol 15 (1) ◽  
pp. 322
Author(s):  
Agnieszka Majewska ◽  
Urszula Gierałtowska
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Environmental Degradation ◽  
Key Factors ◽  
Renewable Energy Consumption ◽  
Factors Affecting ◽  
Two Measures ◽  
The Relationship ◽  
Human Awareness

There is huge evidence for a relationship between economic growth and environmental degradation. One of the causes of environmental degradation is CO2 emission which is added to the atmosphere through human activities and excessive industrialization. The aim of this research is to examine the relationship between CO2 emissions and measures of wealth in countries of Central and Eastern Europe between 2000 and 2019. The paper extends the research on economic affluence by taking into consideration two measures of economic growth, in addition to GDP, the HDI index is included. The basis for the investigation is the EKC concept. All analyses are based on econometric models with GDP and the HDI index as independent variables. The results are not conclusive and there is no one model which best describes the relationship between CO2 emissions and economic growth. Verification of the models indicates the better fit of models with the HDI index as the measure of affluence. Moreover, the study confirms that the key factors affecting CO2 emissions are energy consumption per capita which leads to an increase in CO2 emissions, and renewable energy consumption which reduces CO2 emissions. Therefore, technological changes and an increase in human awareness of global sustainability are required.

scholarly journals A Causal Nexus of Energy Consumption, Private Investment, Economic Growth and Environmental Degradation: Evidence from Pakistan

2020 ◽  
Vol 6 (2) ◽  
pp. 367-376
Author(s):  
Shabana Parveen ◽  
Hazrat Ali ◽  
Habib Elahi Sahibzada ◽  
Sohail Farooq
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Granger Causality ◽  
Co2 Emissions ◽  
Environmental Degradation ◽  
Private Investment ◽  
Granger Causality Test ◽  
Var Model ◽  
Causality Test ◽  
Policy Makers

The importance of private investment in the growth process of a country cannot be denied, however, its relationship with environmental degradation has not got much attention from researchers yet. The present study is an attempt to divert the attention of researchers and policy makers to the association with private investment and environmental degradation.  The time series data was used from 1975 to 2017. The data was taken from WDI. To analyze the causal link among environmental degradation, private investment, energy consumption and economic growth, Vector Autoregressive (VAR) model is used. Granger causality test is employed for knowing the course of causality in the variables. The results of the VAR model suggest that if an innovation of one standard deviation occurs from outside, it takes about 12 years for CO2 emissions, 9 years for private investment, 10 years for energy consumption and about 8years for economic growth to adjust. Moreover, the results show that most of the variation in all variables is explained by their own. Granger causality test identifies four unilateral causalities in the variables running from CO2 emissions to economic growth while the consumption of energy to CO2 emissions, energy consumption to economic growth while  from economic growth to private investment. The study recommends policy makers to make environmental friendly policies regarding consumption of energy, private investment and also economic growth.

scholarly journals Impact of Energy Consumption on Economic Growth, Foreign Direct Investment and Environmental Degradation: Evidence from Pakistan

2021 ◽  
Vol 4 (1) ◽  
pp. 13-25
Author(s):  
Shabana Parveen ◽  
Bibi Aisha Sadiqa ◽  
Farrah Yasmin ◽  
Sher Ali
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Environmental Degradation ◽  
Direct Investment ◽  
Energy Use ◽  
Empirical Work ◽  
Series Data ◽  
Per Capita

Economic growth is a process that is not possible without a lot of energy consumption. Energy is considered as the life blood of an economy however, the energy consumption is also an important factor responsible for degrading the natural environment of the world. The present empirical work is an effort to empirically analyze the association of energy use (kg of oil equivalent per capita) with economic growth (GDP per capita annual growth), foreign direct investment (FDI net inflow as percentage of GDP), and environmental degradation (CO2 emissions, metric tons per capita) in case of Pakistan. The work is based on time series data for the years 1975 to 2018. Canonical cointegrating regression (CCR) method is used for the estimation of the coefficient of the  parameters. The results demonstrate that  energy use has  significant positive association with  FDI, economic growth,  and CO2 emissions. The empirical results recommend that policy makers in Pakistan require to work on policies regarding sustainable development and efficient use of energy as without achieving the efficiency in energy use, the desirable growth of the economy without environmental degradation cannot be achieved.

scholarly journals Modeling the Dynamic Linkage between Renewable Energy Consumption, Globalization, and Environmental Degradation in South Korea: Does Technological Innovation Matter?

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4265
Author(s):  
Tomiwa Sunday Adebayo ◽  
Manuel Francisco Coelho ◽  
Dilber Çağlar Onbaşıoğlu ◽  
Husam Rjoub ◽  
Mário Nuno Mata ◽  
...  
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
South Korea ◽  
Co2 Emissions ◽  
Technological Innovation ◽  
Environmental Degradation ◽  
Bounds Testing ◽  
Renewable Energy Consumption ◽  
Causality Test

The present research assesses the influence of globalization and technological innovation on CO2 emissions in South Korea as well as taking into account the role of renewable energy consumption and energy consumption utilizing datasets between 1980 and 2018. The autoregressive distributed lag (ARDL) bounds testing method is utilized to assess long-run cointegration. The outcome of the ARDL bounds test confirmed cointegration among the series. Furthermore, the ARDL reveals that economic growth, energy consumption and globalization trigger environmental degradation while technological innovation improves the quality of the environment. In addition, the study employed the frequency domain causality test to capture causal linkage among the series. The major advantage of this approach is that causal linkage between series can be captured at the short, medium and long term, respectively. The outcomes of the causality test revealed that globalization, technological innovation, economic growth and energy use can predict CO2 emissions in South Korea.

scholarly journals Economic Development, CO2 Emissions and Energy Use Nexus-Evidence from the Danube Region Countries

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Bounds Testing ◽  
Mutual Cooperation ◽  
Long Run ◽  
Short Run ◽  
Danube Region ◽  
The Impact

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.

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