Heterogeneous effects of energy efficiency and renewable energy on economic growth of BRICS countries: A fixed effect panel quantile regression analysis

Akram, Rabia; Chen, Fuzhong; Khalid, Fahad; Huang, Guanhua; Irfan, Muhammad

doi:10.1016/j.energy.2020.119019

Cited by 146 publications

(52 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…CSD is commonly present in panel data. Overlooking CSD can cause inefficient and unreliable estimates of regression ( Ahmad et al, 2020b ; Akram et al, 2020a ). The chosen Indian states have certain common features of PM 2.5 pollution due to industrialization.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

The asymmetric nexus between air pollution and COVID-19: Evidence from a non-linear panel autoregressive distributed lag model

Chen

Akram

Irfan

et al. 2022

Environmental Research

Self Cite

View full text Add to dashboard Cite

The emergence of a new coronavirus (COVID-19) has become a major global concern that has damaged human health and disturbing environmental quality. Some researchers have identified a positive relationship between air pollution (fine particulate matter PM 2.5 ) and COVID-19. Nonetheless, no inclusive investigation has comprehensively examined this relationship for a tropical climate such as India. This study aims to address this knowledge gap by investigating the nexus between air pollution and COVID-19 in the ten most affected Indian states using daily observations from 9th March to September 20, 2020. The study has used the newly developed Hidden Panel Cointegration test and Nonlinear Panel Autoregressive Distributed Lag (NPARDL) model for asymmetric analysis. Empirical results illustrate an asymmetric relationship between PM 2.5 and COVID-19 cases. More precisely, a 1% change in the positive shocks of PM 2.5 increases the COVID-19 cases by 0.439%. Besides, the estimates of individual states expose the heterogeneous effects of PM 2.5 on COVID-19. The asymmetric causality test of Hatemi-J's (2011) also suggests that the positive shocks on PM 2.5 Granger-cause positive shocks on COVID19 cases. Research findings indicate that air pollution is the root cause of this outbreak; thus, the government should recognize this channel and implement robust policy guidelines to control the spread of environmental pollution.

show abstract

Section: Methodsmentioning

confidence: 99%

“…It is important to mention that the cointegration association's estimation can also be done using other methods like FMOLS and DOLS. However, only the long-run relationship between the variables could be examined in these methods without capturing the short-run dynamics ( Akram et al, 2020a ).…”

Section: Methodsmentioning

confidence: 99%

The asymmetric nexus between air pollution and COVID-19: Evidence from a non-linear panel autoregressive distributed lag model

Chen

Akram

Irfan

et al. 2022

Environmental Research

Self Cite

View full text Add to dashboard Cite

show abstract

“…For example, the 14 th Five-Year Plan and Vision 2035 outline the need to accelerate digital economy development, which provides programmatic guidance for the development of the digital economy (Li Y. et al, 2021;Li Z. et al, 2021). With the development of digital economy, the production and consumption of traditional energy systems under the constraints of supply and demand balance will be changed (Yan et al, 2021), and energy can be controlled, managed, and traded across time and space (Akram et al, 2020;Elavarasan et al, 2021a;Chandio et al, 2021;Tanveer et al, 2021). Therefore, digital economy as a major driver of economic growth is likely to cause disruptions to exist economic processes, systems, and sectors, reshaping the current energy sector under the background of the post-COVID-19 era (Litvinenko, 2020).…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impact of the Digital Economy on Green Total Factor Energy Efficiency in the Post-COVID-19 Era

Zhang

Cui

2021

Front. Energy Res.

View full text Add to dashboard Cite

Digital transformation in the energy sector is an essential tool for promoting the construction of a clean energy system in the post-COVID-19 era. Under the background of digital China strategy and sustainable energy transformation in the post-COVID-19 era, it is meaningful to investigate the relationship between the digital economy and green total factor energy efficiency (GTFEE) to better drive the development of the digital economy and improve GTFEE. For this purpose, this study estimates deeply the impact of the digital economy on GTFEE by applying ordinary least squares (OLS), panel vector autoregression (PVAR), panel threshold, and mediation effect models based on panel data of 30 Chinese provinces from 2006 to 2018. The statistical results indicate that digital economy is conducive to improving GTFEE. Digital economy can significantly contribute to GTFEE by improving economic growth level, urbanization level, R&D investment, and human capital. The most interesting finding was that there is also a non-linear relationship between digital economy and GTFEE. The effect of digital economy on GTFEE is shown to be first promoted and then inhibited as digital economy level continues to increase. Further, the positive impact of the digital economy on GTFEE is strengthened with increasing levels of economic growth, urbanization, R&D input, and human capital. Finally, A positive correlation was found between digital economy and GTFEE in the eastern and central regions, but insignificantly in other regions.

show abstract

“…The UNEP reports clearly show a global trend of implementing green energies and emphasize the benefits to implement non-fuel-based alternatives. Being green is not only about protecting the environment (Liu et al, 2020), but it is also part of achieving the Paris Climate Agreement and United Nations Sustainable Development Goals (UNDGs) (Baniya, Giurco, & Kelly, 2021;Akram, Chen, Khalid, Huang, Irfan, 2021). There are also economic reasons to switch to cleaner energies.…”

Section: Resultsmentioning

confidence: 99%

The Effects of Electricity Sources on the Cost of Electricity in Panama

Guardia¹,

Badiane²

2021

JBTP

View full text Add to dashboard Cite

The purpose of this study is to identify which electricity production sources have a significant effect on the marginal cost of electricity in Panama. Panama, like most Central American countries, relies on hydroelectric power, thermoelectric power and electricity purchases. We only collected secondary data provided by the official entities in order to ensure that the numbers used for the study were consistent. Linear regression analysis was used to find the model that describes the behavior of the marginal cost more accurately. The findings of the study confirm the need for less oil-dependent electricity production alternatives in order to achieve lower electricity prices in Panama.

show abstract

Heterogeneous effects of energy efficiency and renewable energy on economic growth of BRICS countries: A fixed effect panel quantile regression analysis

Cited by 146 publications

References 56 publications

The asymmetric nexus between air pollution and COVID-19: Evidence from a non-linear panel autoregressive distributed lag model

The asymmetric nexus between air pollution and COVID-19: Evidence from a non-linear panel autoregressive distributed lag model

Assessing the Impact of the Digital Economy on Green Total Factor Energy Efficiency in the Post-COVID-19 Era

The Effects of Electricity Sources on the Cost of Electricity in Panama

Contact Info

Product

Resources

About