Modelling the asymmetric effects of renewable and nonrenewable energy consumption and financial development on CO2 emissions in India: Empirical findings from the NARDL and Wavelet Coherence Approach

Subhan, Mohammad; Irfan, Muhammad; Ahmad, Gayas; Alam, Waseem; Zameer, M. Nasir

doi:10.1007/s11356-023-28060-4

Environ Sci Pollut Res

2023

DOI: 10.1007/s11356-023-28060-4

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Modelling the asymmetric effects of renewable and nonrenewable energy consumption and financial development on CO2 emissions in India: Empirical findings from the NARDL and Wavelet Coherence Approach

Mohammad Subhan

Muhammad Irfan

Gayas Ahmad

et al.

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2024

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Cited by 3 publications

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Do energy, inflation, and financial development stimulate economic welfare in India? Empirical insights from novel dynamic ARDL and KRLS simulations

Subhan,

Anjum,

Zamir

et al. 2024

Econ Change Restruct

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The present study focuses on investigating the effect of renewable and non-renewable energy consumption (REC and NREC), financial development (FD), and inflation (INF) on economic welfare (EW) in India during 1990–2019. In this research, we employ a novel dynamic autoregressive distributed lag model and a kernel-based machine learning algorithm and regularise least squares to detect causal linkages among the variables. To measure the economic welfare index, this research uses the PCA analysis with GDP, human capital, environmental damage, number of employed persons, life expectancy at birth, and real consumption in households and by the government. According to the findings, the NREC and FD have been favourably contributing to EW. Conversely, the EW is adversely affected by REC. However, INF also has an adverse impact on EW, although it may be insignificant in the long run and significant in the short run.

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Do energy, inflation, and financial development stimulate economic welfare in India? Empirical insights from novel dynamic ARDL and KRLS simulations

Subhan,

Anjum,

Zamir

et al. 2024

Econ Change Restruct

Self Cite

View full text Add to dashboard Cite

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Role of the government towards stock markets and carbon emissions: evidence from wavelet approach

Waris,

Din

2024

Environ Sci Pollut Res

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Forecasting and unveiling the impeded factors of total export of Bangladesh using nonlinear autoregressive distributed lag and machine learning algorithms

Akhter,

Ratna,

Ahmed

et al. 2024

Heliyon

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Modelling the asymmetric effects of renewable and nonrenewable energy consumption and financial development on CO2 emissions in India: Empirical findings from the NARDL and Wavelet Coherence Approach

Cited by 3 publications

References 104 publications

Do energy, inflation, and financial development stimulate economic welfare in India? Empirical insights from novel dynamic ARDL and KRLS simulations

Do energy, inflation, and financial development stimulate economic welfare in India? Empirical insights from novel dynamic ARDL and KRLS simulations

Role of the government towards stock markets and carbon emissions: evidence from wavelet approach

Forecasting and unveiling the impeded factors of total export of Bangladesh using nonlinear autoregressive distributed lag and machine learning algorithms

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