scholarly journals Influence of Environmental Degradation and Economic Growth on CO2 Emissions: Evidence from Developing Countries

2020 ◽  
Vol 7 (2) ◽  
pp. 193-206
Author(s):  
Rabnawaz Khan ◽  
YuSheng Kong ◽  
Jin Xinxin
2021 ◽  
Vol 11 (5) ◽  
pp. 289-297
Author(s):  
Md. Nazmus Sadekin ◽  
Md. Mahbub Alam ◽  
Syed Moudud-Ul-Huq ◽  
Mohammad Ghozali Hassan ◽  
Tarequl Islam

2019 ◽  
Vol 26 (34) ◽  
pp. 35282-35282
Author(s):  
Fakhri J. Hasanov ◽  
Jeyhun I. Mikayilov ◽  
Shahriyar Mukhtarov ◽  
Elchin Suleymanov

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Muhammad Kamran Khan ◽  
Muhammad Imran Khan ◽  
Muhammad Rehan

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.


2021 ◽  
Vol 11 (1) ◽  
pp. 145-155
Author(s):  
Seun Damola Oladipupo ◽  
Husam Rjoub ◽  
Dervis Kirikkaleli ◽  
Tomiwa Sunday Adebayo

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.


2019 ◽  
Vol 26 (29) ◽  
pp. 30229-30241 ◽  
Author(s):  
Fakhri J. Hasanov ◽  
Jeyhun I. Mikayilov ◽  
Shahriyar Mukhtarov ◽  
Elchin Suleymanov

2021 ◽  
Vol 7 (1) ◽  
pp. 13-24
Author(s):  
Shabana Parveen ◽  
Bibi Aisha Sadiqa ◽  
Sher Ali ◽  
Farrah Yasmin

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.


2018 ◽  
Vol 2 (1) ◽  
pp. 11-23
Author(s):  
Listiono Listiono

This paper investigates the relationship between freight transport, economic growth and environmental degradation (CO2 emissions) experienced by ninety countries over the period 1980-2014. The estimation is divided into the global panel, high-income countries, upper-middle income countries, lower-middle income countries, and lower-income countries. This paper employed simultaneous equation Model and was estimated by Three-Stage Least Squares (3SLS). The results discovered the existence of bi-directional causality relationship between economic growth and freight transport in the high-income countries and lower-income countries. The result also indicated the bi-directional causality relationship between the transportation and CO2 emissions in the panel upper-middle-income countries. Lastly, the finding indicated the bi-directional causality between economic growth and CO2 emissions in lower-middle income countries.


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