Abstract

Because of rapid economic expansion, China, the USA, and India have become the largest energy producers and sources of CO2 emissions in the world. They burned over 45% of global fuels in 2016. Meanwhile, the developing strategies of 24 polluted states to decrease fossil energy consumption without additional economic output. This paper explores the effect of world top polluted countries’ CO2 emission, their GDP and production of electricity by potential indicators and identifies the basic factors that contribute to changes in an environment where petroleum, natural gas, coal, nuclear, biomass, and other renewable energy and hydroelectric sources are examined with GDP per capita. We estimate our data for the period from 1968 to 2017 and use the GLM model. The results show that more production of electricity is causing abnormal CO2 emissions. The Granger causality test shows that there is a unidirectional relationship between energy consumption and economic advancement. Also, there is a short-run bidirectional causality that exists among the energy indicators. We find a unilateral causality between energy consumption and economic growth. Therefore, the consumption of energy might be conductive of 24 (polluted) countries and better economic development; the consumption of energy may be failsafe and guaranteed, while we should limit the resources of countries.

Highlights

  • Fossil fuels, like petroleum, natural gas, and coal, are estimated at 80% of energy consumption in the United States, and highest value recorded 101 quadrillion British thermal units (Btu) only in 2018, which was 81(Btu) of fossil fuel

  • This paper explores the effect of world top polluted countries’ CO2 emission, their Gross Domestic Product (GDP) and production of electricity by potential indicators and identifies the basic factors that contribute to changes in an environment where petroleum, natural gas, coal, nuclear, biomass, and other renewable energy and hydroelectric sources are examined with GDP per capita

  • This research study assesses the relationship between the energy computation by Energy, Natural Gas, Nuclear Energy, Oil Gas and Coal, Renewable Energy and its effect on GDP in the period of 1968 and 2017 using a panel data set

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Summary

Introduction

Like petroleum, natural gas, and coal, are estimated at 80% of energy consumption in the United States, and highest value recorded 101 quadrillion British thermal units (Btu) only in 2018, which was 81(Btu) of fossil fuel. We base this research paper on the rapid increase in CO2 emissions from petroleum, natural gas, coal, nuclear, biomas, other renewable energy and hydroelectric power, and its effects on the GDP of the top 24 polluted countries. Energy efficiency indicators were influenced by petroleum, natural gas, coal, nuclear, biomas, other renewable energy and hydroelectric with per capita of GDP, leading to misleading efficiency conclusions If, such as the economic growth of the 24 countries will increase, the energy use of the economic efficiency indicator will rise, the energy use per unit output will not change. Eight indicators – petroleum, natural gas, coal, nuclear, biomass, other renewable energy and hydroelectric power – were examined with GDP per capita.

Literature review
Methodology
Data Description
Empirical estimation results and discussions
Unit root and co-integration
Particular analysis by GLM
Findings
Conclusions and policy implications
Full Text
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