Quantifying carbon emissions through financial development in Ghana: empirical evidence from novel dynamic ARDL and KRLS techniques DOI Creative Commons
Kwadwo Boateng Prempeh, Christian Kyeremeh, Samuel Yeboah Asuamah

et al.

Cogent Economics & Finance, Journal Year: 2024, Volume and Issue: 12(1)

Published: Nov. 4, 2024

The critical issue of environmental degradation emphasises the urgent need for coordinated actions to safeguard and restore planet's fragile ecological balance. This study examines relationship between financial development carbon emissions in Ghana from 1990 2020, focusing on roles natural resource rents economic sustainability. Utilizing time-series data World Bank applying a dynamic autoregressive distributed lag (ARDL) model kernel-based regularized least squares (KRLS) machine learning technique, findings indicate that significantly increases both short- long-term. At same time, have negligible impact short term but contribute increased long run. Conversely, sustainability consistently reduces long-run. Our highlight policymakers prioritize green financing initiatives, promote products support renewable energy, implement stricter regulations exploitation. Additionally, incentives institutions invest environmentally-sustainable projects are vital achieving Ghana's neutrality goals.

Language: Английский

Quantifying carbon emissions through financial development in Ghana: empirical evidence from novel dynamic ARDL and KRLS techniques DOI Creative Commons
Kwadwo Boateng Prempeh, Christian Kyeremeh, Samuel Yeboah Asuamah

et al.

Cogent Economics & Finance, Journal Year: 2024, Volume and Issue: 12(1)

Published: Nov. 4, 2024

The critical issue of environmental degradation emphasises the urgent need for coordinated actions to safeguard and restore planet's fragile ecological balance. This study examines relationship between financial development carbon emissions in Ghana from 1990 2020, focusing on roles natural resource rents economic sustainability. Utilizing time-series data World Bank applying a dynamic autoregressive distributed lag (ARDL) model kernel-based regularized least squares (KRLS) machine learning technique, findings indicate that significantly increases both short- long-term. At same time, have negligible impact short term but contribute increased long run. Conversely, sustainability consistently reduces long-run. Our highlight policymakers prioritize green financing initiatives, promote products support renewable energy, implement stricter regulations exploitation. Additionally, incentives institutions invest environmentally-sustainable projects are vital achieving Ghana's neutrality goals.

Language: Английский

Citations

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