Roadmap for climate alliance economies to vision 2030: retrospect and lessons

Authors: Adedoyin, F.F., Bekun, F.V. and Alola, A.A.

Journal: Environmental Science and Pollution Research

Volume: 28

Issue: 28

Pages: 37459-37470

eISSN: 1614-7499

ISSN: 0944-1344

DOI: 10.1007/s11356-021-13380-0

Abstract:

The United Nations Climate Conference 25, held in December 2019, reached a significant agreement against implementing the Paris agreement come 2020. Bound by the contract, 189 countries who are party to the deal agreed to constrain worldwide temperature to ascend to 1.5° Celsius. To this end, the present study attempts to investigate the readiness of selected countries in the European Union to implement the agreement, which will better the quality of the global environment. In line with this, this study appraises the connection between economic growth, renewable and non-renewable energy consumption, on emissions in 11 countries in the European Union from 1990 to 2016. The study utilises the Pooled Mean Group-Auto Regressive Distributed Lag (PMG-ARDL) model estimator and Dumitrescu and Hurlin Panel Causality analysis to analyse the long-run and short-run impact and direction of causality among these factors, respectively. The long-run study's empirical results show a U-shaped Environmental Kuznets Curve (EKC) and a negative connection between renewable energy use and emissions in the EU-11 countries. In the short-run, non-renewable energy use worsens CO2 emissions while renewable energy use leads to a fall in emissions. Similarly, causality tests show a feedback mechanism between emissions and renewable energy use and between non-renewable energy and renewable use. Also, there is unidirectional causality from income to CO2 emissions, non-renewable energy use to CO2 emissions. The investigation recommends an expanded proportion of renewable energy sources in the EU countries’ energy mix to cut down on emissions.

http://eprints.bournemouth.ac.uk/35248/

Source: Scopus

Roadmap for climate alliance economies to vision 2030: retrospect and lessons.

Authors: Adedoyin, F.F., Bekun, F.V. and Alola, A.A.

Journal: Environ Sci Pollut Res Int

Volume: 28

Issue: 28

Pages: 37459-37470

eISSN: 1614-7499

DOI: 10.1007/s11356-021-13380-0

Abstract:

The United Nations Climate Conference 25, held in December 2019, reached a significant agreement against implementing the Paris agreement come 2020. Bound by the contract, 189 countries who are party to the deal agreed to constrain worldwide temperature to ascend to 1.5° Celsius. To this end, the present study attempts to investigate the readiness of selected countries in the European Union to implement the agreement, which will better the quality of the global environment. In line with this, this study appraises the connection between economic growth, renewable and non-renewable energy consumption, on emissions in 11 countries in the European Union from 1990 to 2016. The study utilises the Pooled Mean Group-Auto Regressive Distributed Lag (PMG-ARDL) model estimator and Dumitrescu and Hurlin Panel Causality analysis to analyse the long-run and short-run impact and direction of causality among these factors, respectively. The long-run study's empirical results show a U-shaped Environmental Kuznets Curve (EKC) and a negative connection between renewable energy use and emissions in the EU-11 countries. In the short-run, non-renewable energy use worsens CO2 emissions while renewable energy use leads to a fall in emissions. Similarly, causality tests show a feedback mechanism between emissions and renewable energy use and between non-renewable energy and renewable use. Also, there is unidirectional causality from income to CO2 emissions, non-renewable energy use to CO2 emissions. The investigation recommends an expanded proportion of renewable energy sources in the EU countries' energy mix to cut down on emissions.

http://eprints.bournemouth.ac.uk/35248/

Source: PubMed

Roadmap for climate alliance economies to vision 2030: retrospect and lessons

Authors: Adedoyin, F.F., Bekun, F.V. and Alola, A.A.

Journal: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Volume: 28

Issue: 28

Pages: 37459-37470

eISSN: 1614-7499

ISSN: 0944-1344

DOI: 10.1007/s11356-021-13380-0

http://eprints.bournemouth.ac.uk/35248/

Source: Web of Science (Lite)

Roadmap for climate alliance economies to vision 2030: retrospect and lessons

Authors: Adedoyin, F.F., Bekun, F.V. and Alola, A.A.

Journal: Environmental Science and Pollution Research

Volume: 28

Pages: 37459-37470

DOI: 10.1007/s11356-021-13380-0

http://eprints.bournemouth.ac.uk/35248/

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102697767&doi=10.1007%2fs11356-021-13380-0&partnerID=40&md5=5ec0cfbe35a770aebaac85cd300a4cc1

Source: Manual

Roadmap for climate alliance economies to vision 2030: retrospect and lessons.

Authors: Adedoyin, F.F., Bekun, F.V. and Alola, A.A.

Journal: Environmental science and pollution research international

Volume: 28

Issue: 28

Pages: 37459-37470

eISSN: 1614-7499

ISSN: 0944-1344

DOI: 10.1007/s11356-021-13380-0

Abstract:

The United Nations Climate Conference 25, held in December 2019, reached a significant agreement against implementing the Paris agreement come 2020. Bound by the contract, 189 countries who are party to the deal agreed to constrain worldwide temperature to ascend to 1.5° Celsius. To this end, the present study attempts to investigate the readiness of selected countries in the European Union to implement the agreement, which will better the quality of the global environment. In line with this, this study appraises the connection between economic growth, renewable and non-renewable energy consumption, on emissions in 11 countries in the European Union from 1990 to 2016. The study utilises the Pooled Mean Group-Auto Regressive Distributed Lag (PMG-ARDL) model estimator and Dumitrescu and Hurlin Panel Causality analysis to analyse the long-run and short-run impact and direction of causality among these factors, respectively. The long-run study's empirical results show a U-shaped Environmental Kuznets Curve (EKC) and a negative connection between renewable energy use and emissions in the EU-11 countries. In the short-run, non-renewable energy use worsens CO2 emissions while renewable energy use leads to a fall in emissions. Similarly, causality tests show a feedback mechanism between emissions and renewable energy use and between non-renewable energy and renewable use. Also, there is unidirectional causality from income to CO2 emissions, non-renewable energy use to CO2 emissions. The investigation recommends an expanded proportion of renewable energy sources in the EU countries' energy mix to cut down on emissions.

http://eprints.bournemouth.ac.uk/35248/

Source: Europe PubMed Central

Roadmap for Climate Alliance Economies to vision 2030: Retrospect and Lessons

Authors: Adedoyin, F.F., Bekun, F.V. and Alola, A.A.

Journal: Environmental Science and Pollution Research

Volume: 28

Pages: 37459-37470

ISSN: 0944-1344

Abstract:

The United Nations Climate Conference 25, held in December 2019, reached a significant agreement against implementing the Paris agreement come 2020. Bound by the contract, 189 countries who are party to the deal agreed to constrain worldwide temperature to ascend to 1.5 degrees Celsius. To this end, the present study attempts to investigate the readiness of selected countries in the European Union to implement the agreement, which will better the quality of the global environment. In line with this, this study appraises the connection between economic growth, renewable and non-renewable energy consumption, on emissions in 11 countries in the European Union from 1990 to 2016. The study utilises the Pooled Mean Group-Auto Regressive Distributed Lag (PMG-ARDL) model estimator and Dumitrescu and Hurlin Panel Causality analysis to analyse the long-run and short-run impact and direction of causality among these factors, respectively. The long-run study's empirical results show a U-shaped Environmental Kuznets Curve (EKC) and a negative connection between renewable energy use and emissions in the EU-11 countries. In the short-run, non-renewable energy use worsens CO2 emissions while renewable energy use leads to a fall in emissions. Similarly, causality tests show a feedback mechanism between emissions and renewable energy use and between non-renewable energy and renewable use. Also, there is unidirectional causality from income to CO2 emissions, non-renewable energy use to CO2 emissions. The investigation recommends an expanded proportion of renewable energy sources in the EU countries' energy mix to cut down on emissions.

http://eprints.bournemouth.ac.uk/35248/

Source: BURO EPrints