Comparative Study of the Impact of CO2 Emission on Income

2017 ◽  
Vol 8 (4) ◽  
pp. 15-31
Author(s):  
M. Allali ◽  
M. Tamali ◽  
M. Rahli
Keyword(s):  
Economic Growth ◽  
Power Consumption ◽  
Electric Power ◽  
Co2 Emission ◽  
Energy Use ◽  
Oil And Gas ◽  
Global Climate ◽  
Electric Power Consumption ◽  
Long Run ◽  
The Impact

Emissions of global warming gases continue to rise as the world burns ever more coal, oil and gas for energy. The article, aims to run an investigation nexus between carbon dioxide (CO2) emission per capita and economic growth of energy consumption in over the period 1990-2100. To evaluate the impact of CO2 emission on relative variables, this study verifies that there is positive long-run relationship among CO2 emissions, Electric power consumption and Energy use. This paper also proves bi-directional causality between CO2 emission and electric power consumption (modeling the impact of CO2 emission on output especially in Algeria and because of the vast majority of natural gas is imported from Algeria to Morocco so the authors use the same model for Morocco and compare the results obtained and see what the different causes that influence these results). The policy makers may evaluate exogenous effect to seeking economic growth for global climate warming and to formulate energy policies.

scholarly journals DETERMINING THE ROLE OF ENERGY CONSUMPTION AND AIR POLLUTION ON PAKISTAN’S ECONOMIC GROWTH: APPLICATION OF AUTOREGRESSIVE DISTRIBUTIVE LAG MODEL (ARDL)

2020 ◽  
Vol 7 (3) ◽  
pp. 189-204
Author(s):  
Baseerat Sultana ◽  
Abdul Mansoor
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Electric Power ◽  
Co2 Emission ◽  
Nuclear Energy ◽  
Time Series Data ◽  
High Mass ◽  
Series Data ◽  
Long Run ◽  
The Impact

Abstract: The goals of the study are to observe the impact of energy consumption, CO2 emission on Pakistan’s economic growth by using and annual time series data from 1980 to 2016.  The Auto regressive lag distributive (ARDL) model is applied to find out the correlation between the variables. The short run elasticity shows that CO2 emission, fossil fuel and hydro energy consumption decreases Pakistan’s economic growth, while nuclear energy consumption and electric power consumption substantially increases GDP per capita of the country. In the long run, nuclear energy consumption and electric power generation support country’s economic growth, which need more friendly environmental policies to reduce high mass carbon emissions in a country.  

Does Temperature Contribute to Environment Degradation? Pakistani Experience Based on Nonlinear Bounds Testing Approach

2020 ◽  
pp. 097215092091665 ◽  
Author(s):  
Muhammad Saeed Meo ◽  
Solomon Prince Nathaniel ◽  
Muhammad Murtaza Khan ◽  
Qasim Ali Nisar ◽  
Tehreem Fatima
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Energy Use ◽  
Global Climate ◽  
Bounds Testing ◽  
Renewable Energy Consumption ◽  
Global Climate Changes ◽  
Long Run ◽  
Short Run

Many developing countries are acutely vulnerable to global climate changes. In Pakistan, carbon emissions are primarily contributed by the factor of energy production from oil, gas and coal. The objective of this study is to estimate the asymmetric impact of temperature, energy use, economic growth, water scarcity on CO2 emissions in Pakistan over their period of 1960–2016. Based on nonlinear bounds testing (NARDL) approach, it is confirmed that there is an asymmetric relationship between temperature and CO2 emission, while energy use, population growth and economic growth have a positive effect in the short run. In the long run, energy consumption and economic growth were found to increase emission, while a temperature decrease by 1 per cent leads to 5 per cent decrease in carbon emissions. Population and water availability also reduces emission in Pakistan. Further, the study also confirms the long-run relationship between the variables. The finding of the study noticeably supports the policy to increase renewable energy consumption.

scholarly journals Understanding the Relationship between Electric Power Consumption, Technological Transfer, Financial development and Environmental Quality.

2021 ◽  
Author(s):  
Bassem Kahouli ◽  
Benayan Bani Alrasheedy ◽  
Nahla Chaaben ◽  
Rabab Triki
Keyword(s):  
Power Consumption ◽  
Electric Power ◽  
Financial Development ◽  
Environmental Quality ◽  
Electric Energy ◽  
Electric Power Consumption ◽  
Distributed Lag ◽  
Technological Transfer ◽  
Long Run ◽  
Short Run

Abstract This research paper attempts to investigate both the long-run and causality relationship among electric power consumption (EPC), technological transfer, financial development (FD), and environmental quality for the Saudi Arabia (KSA) economy from 1980 to 2019. In doing so, we propose a carbon emission function tested by incorporating multi-steps techniques such as autoregressive distributed lag (ARDL) has been exploited to determine the existence of cointegration or no; while vector error correction model (VECM) has been applied to decide the direction of causality. In this paper we have proposed two proxies of technological transfer, namely imported technology (MT) and Technical cooperation grants (TCG). The results indicate the existence of cointegration between the concerned series. Besides, the existence of a feed-back effect among variables (except TCG) in the long-run. However, in the short run feed-back effect exists among EPC and EnvQ; MT and EnvQ; EPC and MT. Thus, the paper provides original visions for policy makers to encourage the technological transfer by financing and supporting the electric energy sector which constitutes the main locomotive to improve the environment quality for the KSA.JEL classification : C32, C52, O11, Q43

scholarly journals DINAMIKA PERUBAHAN EKONOMI MAKRO DAN DAMPAKNYA TERHADAP PERTUMBUHAN PENERIMAAN PAJAK PENGHASILAN NON MIGAS

2017 ◽  
Vol 1 (1) ◽  
pp. 23-37
Author(s):  
Mas'udin Mas'udin
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Income Tax ◽  
Oil And Gas ◽  
Tax Revenue ◽  
Long Run ◽  
Time Period ◽  
Auto Regressive ◽  
Exchange Rate Shocks ◽  
The Impact

This study examines the impact of macroeconomic on tax revenue, especially non-oil and gas income tax. The time period of study ranges from 1970 to 2016. The study was conducted to obtain empirical evidence of factors influencing the growth of non-oil tax revenues in Indonesia. The model was analyzed using Vector Auto Regressive. The VAR estimation shows that there is a one-way relationship between economic growth, inflation rate, exchange rate and non-oil and gas income tax. In the short term, shocks of non-oil and gas income tax is the factor with the greatest influence on the growth of non-oil tax. In the long run, exchange rate shocks, inflation, economic growth, ICP, and non-oil income tax incidence shocks affect the growth of non-oil and gas income tax. Studi ini mengkaji dampak ekonomi makro terhadap penerimaan perpajakan, khususnya pajak penghasilan non migas. Rentang periode kajian selama 46 tahun yaitu dari 1970 s.d 2016. Studi dilakukan guna mendapatkan bukti empiris faktor-faktor yang mempengaruhi pertumbuhan penerimaan PPh non migas di Indonesia. Model dianalisis dengan menggunakan Vector Auto Regressive.  Hasil estimasi VAR menunjukkan terdapat hubungan satu arah antara pertumbuhan ekonomi, tingkat inflasi, nilai tukar rupiah dan PPh non migas. Dalam jangka pendek, guncangan (shock) PPh non migas merupakan faktor dengan pengaruh terbesar pada pertumbuhan PPh non migas itu sendiri. Dalam jangka panjang guncangan kurs, inflasi, pertumbuhan ekonomi, ICP, dan guncangan PPh non migas berpengaruh terhadap pertumbuhan PPh non migas. 

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