The role of technology innovation and people’s connectivity in testing environmental Kuznets curve and pollution heaven hypotheses across the Belt and Road host countries: new evidence from Method of Moments Quantile Regression

An, Honglei; Razzaq, Asif; Haseeb, Muhammad; Mihardjo, Leonardus W.W.

doi:10.1007/s11356-020-10775-3

Cited by 148 publications

(42 citation statements)

References 84 publications

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“…The cross-national rebound effects ensue when ICT catalyzes a organizational transformation in end-to-end supply chain mechanism and utilization behaviors all over the nation. Various studies have explored the ICT and environment nexus by considering these factors (see Malmodin and Lundén, 2018;Erdmann and Hilty, 2010;Horvath and Toffel, 2004;Coroama et al 2015;An et al 2020).…”

Section: Effect Of Ict On Co 2 Emissionsmentioning

confidence: 99%

The role of information and communication technology in encountering environmental degradation: Proposing an SDG framework for the BRICS countries

Chien

Anwar

Hsu

et al. 2021

Technology in Society

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282

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Section: Effect Of Ict On Co 2 Emissionsmentioning

confidence: 99%

The role of information and communication technology in encountering environmental degradation: Proposing an SDG framework for the BRICS countries

Chien

Anwar

Hsu

et al. 2021

Technology in Society

Self Cite

282

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“…During recent years, several studies probed trade liberalization's impacts on the quality of the environment using panel data (Shahbaz et al, 2017 , 2018 ). From an individual country, Shahbaz et al, ( 2015 , 2017 ) scrutinized the importance of trade openness in CO 2 emissions (An et al, 2021a ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The economic data can be affected by structural changes, financial shocks, and regional and global imbalances. Because of these reasons, the formation of economic variables follows an asymmetric trend (An et al, 2021a , 2021b ). A few studies endorse the same using different economic variables such as Razzaq et al, ( 2020a , 2020b ) explore asymmetric channels from tourism technology to carbon emissions in China; Lingyan (2021) explores asymmetric patterns between fiscal decentralization and carbon emissions in OECD countries; Chien et al ( 2021 ) found asymmetric effects of information communication technology on carbon emissions in BRICS countries; He et al ( 2021 ) argued nonlinear linkages between energy stocks, oil prices, and financial stress; Anwar et al, ( 2021a , 2021b ) explored transport emissions and public–private partnership in an asymmetric framework (Anwar et al, 2021a ); and Razzaq et al ( 2020b ) found a similar asymmetric link between emissions and COVID-19 in USA.…”

Section: Introductionmentioning

confidence: 99%

Asymmetric and time-varying linkages between carbon emissions, globalization, natural resources and financial development in China

Ling

Razzaq

Guo

et al. 2021

Environ Dev Sustain

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105

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In the real world, economic covariates follow asymmetric and time-varying patterns. Therefore, it is imperative to integrate these effects while estimating environmental and economic relationships. Although prevailing literature reveals various emissions-deriving and eliminating factors, however, there is a dearth of empirical evidence that estimates the asymmetric and time-varying effect of globalization, natural resources, and financial development from a multidimensional perspective in China. In doing so, we employ the nonlinear autoregressive distributed lag (NARDL) and cross-wavelet modeling framework to explore the long- and short-run nonlinear and time-variant association between globalization, natural resources, financial development, and carbon emissions from 1980 to 2017. The NARDL method has the benefit of discriminating the long-term and short-term asymmetric carbon emission responses due to a positive and negative shock in our primary variables of interest. Mainly, the findings of NARDL estimations confirm that positive shocks in globalization and financial developments have a significant positive impact on carbon emissions, whereas negative shock in natural resources has a significant positive impact on carbon emissions. Similarly, the outcomes of continuous wavelet transformation and wavelet transformation coherence confirm the causal linkages between covariates; however, this effect varies across different time and frequency domains. These results imply that environmental researchers should consider asymmetric transmission channels and time–frequency associations among variables to devise long-term sustainable policies.

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“…Overall, tests' results provide a robust indication that the data is integrated of order one. In line with existing literature adopting a similar panel quantile regression approach (see, e.g., Ike et al 2020;An et al 2021;Aziz et al 2021), 17 our analysis considers variables in levels. 18…”

Section: Diagnosticsmentioning

confidence: 84%

Exploring the effects of climate-related financial policies on carbon emissions in G20 countries: a panel quantile regression approach

D’Orazio

Dirks

2021

Environ Sci Pollut Res

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This paper studies the effects of financial development, economic growth, and climate-related financial policies on carbon emissions for G20 countries. The focus is particularly on financial policies implemented to scale up green finance and address climate-related financial risks from 2000 to 2017 and represent this paper’s value added. The empirical results obtained by relying on the panel quantile regression approach indicate that the impacts of the different explanatory variables on carbon emission are heterogeneous. Specifically, the effect of the stock of short-term financial policies on carbon emissions is negative, and its effect becomes smaller at higher quantiles. The stock of long-term policies also shows significant negative coefficients, but its impact is stronger for higher quantiles. No significance is reported for the lowest quantile. Financial development contributes to improving environmental quality, and its impact is larger in higher emission countries. Energy consumption increases carbon emissions, with the strongest effects occurring at higher quantiles. Our results also support the validity of the EKC relationship and positive effects of GDP and population on high carbon emissions levels. Estimation results are robust to alternative model specifications and after controlling for the role played by adopting international climate change mitigation policies as proxied by the adoption of the Kyoto Protocol.

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The role of technology innovation and people’s connectivity in testing environmental Kuznets curve and pollution heaven hypotheses across the Belt and Road host countries: new evidence from Method of Moments Quantile Regression

Cited by 148 publications

References 84 publications

The role of information and communication technology in encountering environmental degradation: Proposing an SDG framework for the BRICS countries

The role of information and communication technology in encountering environmental degradation: Proposing an SDG framework for the BRICS countries

Asymmetric and time-varying linkages between carbon emissions, globalization, natural resources and financial development in China

Exploring the effects of climate-related financial policies on carbon emissions in G20 countries: a panel quantile regression approach

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