The effects of air transportation, energy, ICT and FDI on economic growth in the industry 4.0 era: Evidence from the United States

Adedoyin, Festus Fatai; Bekun, Festus Vıctor; Driha, Oana M.; Balsalobre‐Lorente, Daniel

doi:10.1016/j.techfore.2020.120297

Cited by 133 publications

(64 citation statements)

References 109 publications

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“…As Ahmed et al ( 2021 ) stated, this approach’s versatility to utilize an ideal lag length will resolve the possible issue of multicollinearity. Furthermore, it can also accommodate fractional integration and possible endogenous and autocorrelation problems (Odugbesan and Adebayo 2020a , b ; Onyibor et al 2020 ; Adedoyin et al 2020 ). In addition to all these advantages, the ability of linear ARDL to produce reliable findings for small sample sizes renders it one of the favored options for the analysis of time-series.…”

Section: Methodsmentioning

confidence: 99%

Determinants of consumption-based carbon emissions in Chile: an application of non-linear ARDL

Adebayo

Udemba

Ahmed

et al. 2021

Environ Sci Pollut Res

136

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In recent years, a growing number of scholars have employed various proxies of environmental degradation to understand the reasons behind rising environmental degradation. However, very few studies have considered consumption-based carbon emissions, even though a clear understanding of the impact of consumption patterns is essential for redirecting the pattern to more sustainable consumption. Thus, this study takes a step forward by using consumption-based carbon emissions (CCO 2 ) as a proxy of environmental degradation using the novel non-linear ARDL technique for Chilefrom 1990 to 2018. To the best understanding of the investigators, no prior studies have investigated the drivers of consumption-based carbon emissions utilizing non-linear ARDL. The study employed ADF and KSS (non-linear) tests to check the data series’ stationary level. Additionally, the symmetric and asymmetric ARDL approaches are utilized to explore cointegration and long-run linkages. According to the results, there is no symmetric cointegration among the variables; however, the empirical estimates reveal a long-run asymmetric connection between the indicators and CCO 2 emissions. The novel results from the asymmetric ARDL indicate that negative and positive changes in economic growth deteriorate the quality of the environment. Interestingly, a reduction in economic growth makes a more dominant contribution to environmental degradation. Moreover, positive changes in renewable energy usage improve the quality of Chile’s environment, inferring that the country can achieve a reduction in environmental degradation by boosting renewable energy consumption. Surprisingly, the study found that technological innovation is ineffective in reducing consumption-based carbon emissions, which implies that Chile’s technological innovation is not directed towards manufacturing green technology. Finally, the policy implications are discussed with respect to reducing consumption-based carbon emissions.

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Section: Methodsmentioning

confidence: 99%

Determinants of consumption-based carbon emissions in Chile: an application of non-linear ARDL

Adebayo

Udemba

Ahmed

et al. 2021

Environ Sci Pollut Res

136

View full text Add to dashboard Cite

show abstract

“…In recent years, the research results on IGG have been enriched, but there is currently no unified method for measuring IGG (Adedoyin et al 2020 ). Existing research believes that IGG should include two aspects: Inclusive growth and green growth.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, there is no general consensus on how to implement such a transformation in order to achieve green and inclusive growth (Adedoyin et al 2020 ). Existing research is more focused on exploring the driving factors of IGG based on technological progress, poverty reduction, and environmental regulation (Du and Sun 2021 ; Song et al 2021 ).…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of urban land misallocation on inclusive green growth efficiency: evidence from China

2021

Environ Sci Pollut Res

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Inclusive green growth (IGG), as a new way to attain sustainable development, aims to achieve comprehensive and coordinated economic, social, and environmental development. How to define IGG and explore its driving factors is key to realizing IGG. This study takes China as an example, using panel data from 30 provinces in Mainland China from 2009 to 2018 for research. The epsilon-based measure (EBM) model and Global Malmquist–Luenberger (GML) index are used to evaluate China’s IGG, and a spatial panel regression model of the impact of urban land resource misallocation on IGG is established. The research found that (1) China’s IGG level from 2009 to 2018 displayed an upward trend, and combined with exploratory spatial data analysis (ESDA), it was found that IGG has an obvious spatial correlation; (2) the regression model shows that the misallocation of land resources hinders the improvement of IGG in China; and (3) the decomposition of spatial spillover effects demonstrates that the misallocation of land resources has negative externalities, which will also have adverse effects on neighboring areas.

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“…As Ahmed et al (2021) stated, the versatility of this approach to utilize an ideal lag length will resolve the multicollinearity probable issue. Besides, it can also accommodate fractional integration and possible endogenous and autocorrelation problems Onyibor et al 2020;Adedoyin et al 2020). In addition to all these advantages, the ability of linear ARDL to produce reliable findings for small sample sizes renders it one of the favored options for the analysis of time-series.…”

Section: Ardl Approach (Linear and Non-linear)mentioning

confidence: 99%

Determinants of Consumption-Based Carbon Emissions in Chile: Application of Non-Linear ARDL

Adebayo

Udemba

Ahmed

et al. 2021

Preprint

View full text Add to dashboard Cite

In recent years, a growing number of scholars have employed various proxies of environmental degradation to understand the reasons behind rising environmental degradation. However, very few studies consider consumption-based carbon emissions even though a clear understanding of the impact of consumption patterns is essential to redirecting the pattern to more sustainable consumption. Thus, this study takes a step forward by using consumption-based carbon emissions (CCO2) as a proxy of environmental degradation using the novel non-linear ARDL. To the understanding of the investigators, no prior studies have investigated the drivers of consumption-based carbon emissions utilizing non-linear ARDL. The study employed ADF and KSS (non-linear) tests to check the stationary level of the data series. Additionally, the symmetric and asymmetric ARDL approaches are utilized to explore cointegration and long-run linkages. The results could not find symmetric cointegration among variables; however, the empirical estimates divulge the long-run asymmetric connection of indicators with the CCO2 emissions. The novel results from the asymmetric ARDL unfold that negative and positive changes in economic growth deteriorate the quality of the environment. Interestingly, a reduction in economic growth has a more dominant contribution to environmental degradation. Moreover, positive changes in renewable energy usage improve the quality of the environment in Chile inferring that Chile can achieve a reduction in environmental degradation by boosting renewable energy consumption. Surprisingly, the study found the ineffectiveness of technological innovation in reducing consumption-based carbon emissions which implies that technological innovation in Chile is not directed towards manufacturing green technology. Finally, the policy implications are discussed to reduce consumption-based carbon emissions.

show abstract

The effects of air transportation, energy, ICT and FDI on economic growth in the industry 4.0 era: Evidence from the United States

Cited by 133 publications

References 109 publications

Determinants of consumption-based carbon emissions in Chile: an application of non-linear ARDL

Determinants of consumption-based carbon emissions in Chile: an application of non-linear ARDL

The impact of urban land misallocation on inclusive green growth efficiency: evidence from China

Determinants of Consumption-Based Carbon Emissions in Chile: Application of Non-Linear ARDL

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