Sustainable environment, energy and finance in China: Evidence from dynamic modelling using carbon emissions and ecological footprints
Sustainable environment, energy and finance in China: Evidence from dynamic modelling using carbon emissions and ecological footprints
This study investigates sustainable finance along with sustainable economic factors on both carbon emissions and ecological footprints in China. A novel Dynamic Autoregressive Distributed Lag technique is applied; results revealed sustainable finance exerts positive/negative influence on carbon emissions in the long and short run, respectively. Results are robust with ecological footprints that sustainable finance placed a lucrative cause to preserve the environment. Sustainable economic factors show a positive impact on carbon emissions in the long run, whilst economic growth, energy consumption and exports improve environmental quality. Conversely, in the short run, urbanisation supports the environment whilst economic development, energy use and exports exert a positive impact. In addition, this study suggests useful policy implications for the stakeholders.
CO emissions, D-ARDL, Ecological footprint, Energy, Finance, Market capitalisation, Sustainable environment
79095-79110
Ali, Rizwan
e9419873-e278-4105-a7fa-989f2647ce2f
Rehman, Mubeen
e195eaad-357e-49a8-ba9f-9f6de234717b
Rehman, Ramiz ur
86dc877b-d0e0-487d-afb5-4eccfd56280a
Ntim, Collins
1f344edc-8005-4e96-8972-d56c4dade46b
November 2022
Ali, Rizwan
e9419873-e278-4105-a7fa-989f2647ce2f
Rehman, Mubeen
e195eaad-357e-49a8-ba9f-9f6de234717b
Rehman, Ramiz ur
86dc877b-d0e0-487d-afb5-4eccfd56280a
Ntim, Collins
1f344edc-8005-4e96-8972-d56c4dade46b
Ali, Rizwan, Rehman, Mubeen, Rehman, Ramiz ur and Ntim, Collins
(2022)
Sustainable environment, energy and finance in China: Evidence from dynamic modelling using carbon emissions and ecological footprints.
Environmental Science and Pollution Research, 29 (52), .
(doi:10.1007/s11356-022-21337-0).
Abstract
This study investigates sustainable finance along with sustainable economic factors on both carbon emissions and ecological footprints in China. A novel Dynamic Autoregressive Distributed Lag technique is applied; results revealed sustainable finance exerts positive/negative influence on carbon emissions in the long and short run, respectively. Results are robust with ecological footprints that sustainable finance placed a lucrative cause to preserve the environment. Sustainable economic factors show a positive impact on carbon emissions in the long run, whilst economic growth, energy consumption and exports improve environmental quality. Conversely, in the short run, urbanisation supports the environment whilst economic development, energy use and exports exert a positive impact. In addition, this study suggests useful policy implications for the stakeholders.
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Accepted/In Press date: 3 June 2022
e-pub ahead of print date: 15 June 2022
Published date: November 2022
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© 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Keywords:
CO emissions, D-ARDL, Ecological footprint, Energy, Finance, Market capitalisation, Sustainable environment
Identifiers
Local EPrints ID: 458089
URI: http://eprints.soton.ac.uk/id/eprint/458089
ISSN: 0944-1344
PURE UUID: ed9c13d0-a403-48a6-b12e-54a2aedab0d0
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Date deposited: 28 Jun 2022 16:53
Last modified: 17 Mar 2024 07:21
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Author:
Rizwan Ali
Author:
Mubeen Rehman
Author:
Ramiz ur Rehman
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