The nexus between CO2 emissions, energy consumption, and economic growth in the U.S.

Salari, Mahmoud; Javid, Roxana J.; Noghanibehambari, Hamid

doi:10.1016/j.eap.2020.12.007

Cited by 192 publications

(91 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The study affirmed the EKC hypothesis also, there is unidirectional causality from GDP to CO 2 . Furthermore, the study of Salari et al (2021) in the United States from 1997 to 2016 disclosed positive CO 2 -GDP interconnection.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling the Relationship Between Economic Complexity and Environmental Degradation: Evidence From Top Seven Economic Complexity Countries

Martins

Adebayo

Mata

et al. 2021

Front. Environ. Sci.

View full text Add to dashboard Cite

The continuous growth in CO2 emissions of nations around the globe has made achieving the aim of sustainable development extremely challenging. Therefore, the current research assesses the connection between CO2 emissions and economic complexity in the top 7 economic complexity countries while taking into account the role of economic growth, renewable energy consumption, and globalization for the period between 1993 and 2018. The research aims to answer the following questions: 1) What is the association between CO2 and the regressors in the long-run? 2) What are the effects of renewable energy consumption, economic growth, economic complexity, and globalization on CO2 emissions? The research utilized the CS-ARDL, CCEMG and panel causality approaches to investigate these interconnections. The empirical outcomes revealed that economic growth and economic complexity increase CO2 emissions while renewable energy consumption and globalization mitigate CO2 emissions. The outcomes of the causality test revealed a feedback causal connection between economic growth and CO2, while a unidirectional causality was established from economic complexity, globalization and renewable energy consumption to CO2 emissions in the top 7 economic complexity countries.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Modeling the Relationship Between Economic Complexity and Environmental Degradation: Evidence From Top Seven Economic Complexity Countries

Martins

Adebayo

Mata

et al. 2021

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…Furthermore, the EKC hypothesis was also validated for the case of Azerbaijan. In the USA, Salari et al 2021 ) examined the growth-emission relationship utilizing data from 1997 to 2016 and their outcomes revealed a positive growth-emission interrelation. Furthermore, the EKC hypothesis was confirmed in the USA.…”

Section: Introductionmentioning

confidence: 99%

Asymmetric nexus between technological innovation and environmental degradation in Sweden: an aggregated and disaggregated analysis

Adebayo

Oladipupo

Kırıkkaleli

et al. 2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

The number of studies on the relationship between technological innovation and CO 2 emissions has gradually increased in recent years, although there is no clear agreement in the literature. Previous research has revealed both positive and negative consequences of technological innovation on the environment. Moreover, most researchers have used linear approaches to explore this connection, which can result in spurious outcomes when nonlinearities exist in the data. According to this background, this research utilizes asymmetric ARDL and spectral causality approaches to assess the asymmetric connection between technological innovation and CO 2 emissions in Sweden utilizing data from 1980 to 2018. In addition, the disaggregated asymmetric effects of technological innovation (patent resident and patent nonresident) on CO 2 are also captured in this study. The Nonlinear Autoregressive Distributed lag (NARDL) results showed that positive (negative) shocks in economic growth enhance environmental quality in Sweden. Furthermore, a positive (negative) shock in technological innovation causes a decrease (increase) in CO 2 . Similarly, a positive (negative) shock in patent nonresident and residents leads to a decrease (increase) in CO 2 emissions in Sweden. The outcomes from the spectral causality revealed that in the medium and long term, aggregate and disaggregate technological innovation can predict CO 2 emissions in Sweden. This study has significant policy implications for policymakers and the government in Sweden. Based on these findings, the study suggests that the government of Sweden should investment in technological innovation since it plays a vital role in curbing environmental degradation.

show abstract

“…It was also discussed that the total and the nonrenewable energy consumption (residential or industrial) have a positive impact on carbon emissions [48]. As economic development remains a major objective for all world economies and is the only feasible means of accomplishing some of the sustainability goals (no poverty, zero hunger, decent work, and economic growth), the decision-makers are approaching two major directions for solving the energy issue; namely the usage of environmentally friendly energy sources (cutting from the total energy consumption the amount generated by the non-renewables), and the implementation of energy-saving technologies and industrial processes (including circular economy) [49].…”

Section: Introductionmentioning

confidence: 99%

National Carbon Accounting—Analyzing the Impact of Urbanization and Energy-Related Factors upon CO2 Emissions in Central–Eastern European Countries by Using Machine Learning Algorithms and Panel Data Analysis

Nuţă

Zamfir

et al. 2021

Energies

View full text Add to dashboard Cite

The work at hand assesses several driving factors of carbon emissions in terms of urbanization and energy-related parameters on a panel of emerging European economies, between 1990 and 2015. The use of machine learning algorithms and panel data analysis offered the possibility to determine the importance of the input variables by applying three algorithms (Random forest, XGBoost, and AdaBoost) and then by modeling the urbanization and the impact of energy intensity on the carbon emissions. The empirical results confirm the relationship between urbanization and energy intensity on CO2 emissions. The findings emphasize that separate components of energy consumption affect carbon emissions and, therefore, a transition toward renewable sources for energy needs is desirable. The models from the current study confirm previous studies’ observations made for other countries and regions. Urbanization, as a process, has an influence on the carbon emissions more than the actual urban regions do, confirming that all the activities carried out as urbanization efforts are more harmful than the resulted urban area. It is proper to say that the urban areas tend to embrace modern, more green technologies but the road to achieve environmentally friendly urban areas is accompanied by less environmentally friendly industries (such as the cement industry) and a high consumption of nonrenewable energy.

show abstract

The nexus between CO2 emissions, energy consumption, and economic growth in the U.S.

Cited by 192 publications

References 59 publications

Modeling the Relationship Between Economic Complexity and Environmental Degradation: Evidence From Top Seven Economic Complexity Countries

Modeling the Relationship Between Economic Complexity and Environmental Degradation: Evidence From Top Seven Economic Complexity Countries

Asymmetric nexus between technological innovation and environmental degradation in Sweden: an aggregated and disaggregated analysis

National Carbon Accounting—Analyzing the Impact of Urbanization and Energy-Related Factors upon CO2 Emissions in Central–Eastern European Countries by Using Machine Learning Algorithms and Panel Data Analysis

Contact Info

Product

Resources

About