Carbon emissions effect of trade openness and energy consumption in Sub-Saharan Africa
Abstract Human-induced global warming and climate change are the greatest threat that we have ever faced. In parallel, the greater trade liberalization, energy usage and higher pollution intensities, therefore, raise questions about the climate impacts of trade liberalization and energy consumption....
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yılmaz, Alper [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: SN business & economics - Cham : Springer Nature Switzerland AG, 2021, 3(2023), 2 vom: 13. Jan. |
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| Übergeordnetes Werk: |
volume:3 ; year:2023 ; number:2 ; day:13 ; month:01 |
| Links: |
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| DOI / URN: |
10.1007/s43546-022-00380-6 |
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| Katalog-ID: |
SPR049429329 |
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| 520 | |a Abstract Human-induced global warming and climate change are the greatest threat that we have ever faced. In parallel, the greater trade liberalization, energy usage and higher pollution intensities, therefore, raise questions about the climate impacts of trade liberalization and energy consumption. To find out the environmental effects of trade and energy factors, there are a considerable number of papers in the literature. Correspondingly, we explore the role of trade openness and energy usage on carbon emission ($ CO_{2} $) for 30 Sub-Saharan African (SSA) countries based on 1980–2018 yearly data. For this purpose, we apply the Granger causality test and cointegration approach in panel data estimation methodology. The main findings of interest in this paper are the existence of a cointegration relationship and one-way causality between variables in the long run both according to the Vector Error Correction Model (VECM) and Granger causality analysis. As anticipated, energy use has a significant long-run effect on rising carbon emissions. On the other hand, the study finds positive bi-directional causality between trade openness and carbon emissions. The country will have the chance to avoid the negative effects of these two factors on the environment and achieve its goals if enough consideration is given when developing trade and energy policies (for example, the rate of increase in energy consumption is stable and the transition to green energy is accelerated, the trade policies transform the country’s industry into a view where the share of polluting industries is reduced and less energy-dense modern technologies are used). | ||
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10.1007/s43546-022-00380-6 doi (DE-627)SPR049429329 (SPR)s43546-022-00380-6-e DE-627 ger DE-627 rakwb eng Yılmaz, Alper verfasserin aut Carbon emissions effect of trade openness and energy consumption in Sub-Saharan Africa 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Human-induced global warming and climate change are the greatest threat that we have ever faced. In parallel, the greater trade liberalization, energy usage and higher pollution intensities, therefore, raise questions about the climate impacts of trade liberalization and energy consumption. To find out the environmental effects of trade and energy factors, there are a considerable number of papers in the literature. Correspondingly, we explore the role of trade openness and energy usage on carbon emission ($ CO_{2} $) for 30 Sub-Saharan African (SSA) countries based on 1980–2018 yearly data. For this purpose, we apply the Granger causality test and cointegration approach in panel data estimation methodology. The main findings of interest in this paper are the existence of a cointegration relationship and one-way causality between variables in the long run both according to the Vector Error Correction Model (VECM) and Granger causality analysis. As anticipated, energy use has a significant long-run effect on rising carbon emissions. On the other hand, the study finds positive bi-directional causality between trade openness and carbon emissions. The country will have the chance to avoid the negative effects of these two factors on the environment and achieve its goals if enough consideration is given when developing trade and energy policies (for example, the rate of increase in energy consumption is stable and the transition to green energy is accelerated, the trade policies transform the country’s industry into a view where the share of polluting industries is reduced and less energy-dense modern technologies are used). Panel data analysis (dpeaa)DE-He213 Trade policy (dpeaa)DE-He213 Trade and environment (dpeaa)DE-He213 Energy and environment (dpeaa)DE-He213 Government policy (dpeaa)DE-He213 Enthalten in SN business & economics Cham : Springer Nature Switzerland AG, 2021 3(2023), 2 vom: 13. Jan. (DE-627)1735594423 (DE-600)3041781-8 2662-9399 nnns volume:3 year:2023 number:2 day:13 month:01 https://dx.doi.org/10.1007/s43546-022-00380-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2023 2 13 01 |
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10.1007/s43546-022-00380-6 doi (DE-627)SPR049429329 (SPR)s43546-022-00380-6-e DE-627 ger DE-627 rakwb eng Yılmaz, Alper verfasserin aut Carbon emissions effect of trade openness and energy consumption in Sub-Saharan Africa 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Human-induced global warming and climate change are the greatest threat that we have ever faced. In parallel, the greater trade liberalization, energy usage and higher pollution intensities, therefore, raise questions about the climate impacts of trade liberalization and energy consumption. To find out the environmental effects of trade and energy factors, there are a considerable number of papers in the literature. Correspondingly, we explore the role of trade openness and energy usage on carbon emission ($ CO_{2} $) for 30 Sub-Saharan African (SSA) countries based on 1980–2018 yearly data. For this purpose, we apply the Granger causality test and cointegration approach in panel data estimation methodology. The main findings of interest in this paper are the existence of a cointegration relationship and one-way causality between variables in the long run both according to the Vector Error Correction Model (VECM) and Granger causality analysis. As anticipated, energy use has a significant long-run effect on rising carbon emissions. On the other hand, the study finds positive bi-directional causality between trade openness and carbon emissions. The country will have the chance to avoid the negative effects of these two factors on the environment and achieve its goals if enough consideration is given when developing trade and energy policies (for example, the rate of increase in energy consumption is stable and the transition to green energy is accelerated, the trade policies transform the country’s industry into a view where the share of polluting industries is reduced and less energy-dense modern technologies are used). Panel data analysis (dpeaa)DE-He213 Trade policy (dpeaa)DE-He213 Trade and environment (dpeaa)DE-He213 Energy and environment (dpeaa)DE-He213 Government policy (dpeaa)DE-He213 Enthalten in SN business & economics Cham : Springer Nature Switzerland AG, 2021 3(2023), 2 vom: 13. Jan. (DE-627)1735594423 (DE-600)3041781-8 2662-9399 nnns volume:3 year:2023 number:2 day:13 month:01 https://dx.doi.org/10.1007/s43546-022-00380-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2023 2 13 01 |
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10.1007/s43546-022-00380-6 doi (DE-627)SPR049429329 (SPR)s43546-022-00380-6-e DE-627 ger DE-627 rakwb eng Yılmaz, Alper verfasserin aut Carbon emissions effect of trade openness and energy consumption in Sub-Saharan Africa 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Human-induced global warming and climate change are the greatest threat that we have ever faced. In parallel, the greater trade liberalization, energy usage and higher pollution intensities, therefore, raise questions about the climate impacts of trade liberalization and energy consumption. To find out the environmental effects of trade and energy factors, there are a considerable number of papers in the literature. Correspondingly, we explore the role of trade openness and energy usage on carbon emission ($ CO_{2} $) for 30 Sub-Saharan African (SSA) countries based on 1980–2018 yearly data. For this purpose, we apply the Granger causality test and cointegration approach in panel data estimation methodology. The main findings of interest in this paper are the existence of a cointegration relationship and one-way causality between variables in the long run both according to the Vector Error Correction Model (VECM) and Granger causality analysis. As anticipated, energy use has a significant long-run effect on rising carbon emissions. On the other hand, the study finds positive bi-directional causality between trade openness and carbon emissions. The country will have the chance to avoid the negative effects of these two factors on the environment and achieve its goals if enough consideration is given when developing trade and energy policies (for example, the rate of increase in energy consumption is stable and the transition to green energy is accelerated, the trade policies transform the country’s industry into a view where the share of polluting industries is reduced and less energy-dense modern technologies are used). Panel data analysis (dpeaa)DE-He213 Trade policy (dpeaa)DE-He213 Trade and environment (dpeaa)DE-He213 Energy and environment (dpeaa)DE-He213 Government policy (dpeaa)DE-He213 Enthalten in SN business & economics Cham : Springer Nature Switzerland AG, 2021 3(2023), 2 vom: 13. Jan. (DE-627)1735594423 (DE-600)3041781-8 2662-9399 nnns volume:3 year:2023 number:2 day:13 month:01 https://dx.doi.org/10.1007/s43546-022-00380-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2023 2 13 01 |
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10.1007/s43546-022-00380-6 doi (DE-627)SPR049429329 (SPR)s43546-022-00380-6-e DE-627 ger DE-627 rakwb eng Yılmaz, Alper verfasserin aut Carbon emissions effect of trade openness and energy consumption in Sub-Saharan Africa 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Human-induced global warming and climate change are the greatest threat that we have ever faced. In parallel, the greater trade liberalization, energy usage and higher pollution intensities, therefore, raise questions about the climate impacts of trade liberalization and energy consumption. To find out the environmental effects of trade and energy factors, there are a considerable number of papers in the literature. Correspondingly, we explore the role of trade openness and energy usage on carbon emission ($ CO_{2} $) for 30 Sub-Saharan African (SSA) countries based on 1980–2018 yearly data. For this purpose, we apply the Granger causality test and cointegration approach in panel data estimation methodology. The main findings of interest in this paper are the existence of a cointegration relationship and one-way causality between variables in the long run both according to the Vector Error Correction Model (VECM) and Granger causality analysis. As anticipated, energy use has a significant long-run effect on rising carbon emissions. On the other hand, the study finds positive bi-directional causality between trade openness and carbon emissions. The country will have the chance to avoid the negative effects of these two factors on the environment and achieve its goals if enough consideration is given when developing trade and energy policies (for example, the rate of increase in energy consumption is stable and the transition to green energy is accelerated, the trade policies transform the country’s industry into a view where the share of polluting industries is reduced and less energy-dense modern technologies are used). Panel data analysis (dpeaa)DE-He213 Trade policy (dpeaa)DE-He213 Trade and environment (dpeaa)DE-He213 Energy and environment (dpeaa)DE-He213 Government policy (dpeaa)DE-He213 Enthalten in SN business & economics Cham : Springer Nature Switzerland AG, 2021 3(2023), 2 vom: 13. Jan. (DE-627)1735594423 (DE-600)3041781-8 2662-9399 nnns volume:3 year:2023 number:2 day:13 month:01 https://dx.doi.org/10.1007/s43546-022-00380-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2023 2 13 01 |
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10.1007/s43546-022-00380-6 doi (DE-627)SPR049429329 (SPR)s43546-022-00380-6-e DE-627 ger DE-627 rakwb eng Yılmaz, Alper verfasserin aut Carbon emissions effect of trade openness and energy consumption in Sub-Saharan Africa 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Human-induced global warming and climate change are the greatest threat that we have ever faced. In parallel, the greater trade liberalization, energy usage and higher pollution intensities, therefore, raise questions about the climate impacts of trade liberalization and energy consumption. To find out the environmental effects of trade and energy factors, there are a considerable number of papers in the literature. Correspondingly, we explore the role of trade openness and energy usage on carbon emission ($ CO_{2} $) for 30 Sub-Saharan African (SSA) countries based on 1980–2018 yearly data. For this purpose, we apply the Granger causality test and cointegration approach in panel data estimation methodology. The main findings of interest in this paper are the existence of a cointegration relationship and one-way causality between variables in the long run both according to the Vector Error Correction Model (VECM) and Granger causality analysis. As anticipated, energy use has a significant long-run effect on rising carbon emissions. On the other hand, the study finds positive bi-directional causality between trade openness and carbon emissions. The country will have the chance to avoid the negative effects of these two factors on the environment and achieve its goals if enough consideration is given when developing trade and energy policies (for example, the rate of increase in energy consumption is stable and the transition to green energy is accelerated, the trade policies transform the country’s industry into a view where the share of polluting industries is reduced and less energy-dense modern technologies are used). Panel data analysis (dpeaa)DE-He213 Trade policy (dpeaa)DE-He213 Trade and environment (dpeaa)DE-He213 Energy and environment (dpeaa)DE-He213 Government policy (dpeaa)DE-He213 Enthalten in SN business & economics Cham : Springer Nature Switzerland AG, 2021 3(2023), 2 vom: 13. Jan. (DE-627)1735594423 (DE-600)3041781-8 2662-9399 nnns volume:3 year:2023 number:2 day:13 month:01 https://dx.doi.org/10.1007/s43546-022-00380-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2023 2 13 01 |
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carbon emissions effect of trade openness and energy consumption in sub-saharan africa |
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Carbon emissions effect of trade openness and energy consumption in Sub-Saharan Africa |
| abstract |
Abstract Human-induced global warming and climate change are the greatest threat that we have ever faced. In parallel, the greater trade liberalization, energy usage and higher pollution intensities, therefore, raise questions about the climate impacts of trade liberalization and energy consumption. To find out the environmental effects of trade and energy factors, there are a considerable number of papers in the literature. Correspondingly, we explore the role of trade openness and energy usage on carbon emission ($ CO_{2} $) for 30 Sub-Saharan African (SSA) countries based on 1980–2018 yearly data. For this purpose, we apply the Granger causality test and cointegration approach in panel data estimation methodology. The main findings of interest in this paper are the existence of a cointegration relationship and one-way causality between variables in the long run both according to the Vector Error Correction Model (VECM) and Granger causality analysis. As anticipated, energy use has a significant long-run effect on rising carbon emissions. On the other hand, the study finds positive bi-directional causality between trade openness and carbon emissions. The country will have the chance to avoid the negative effects of these two factors on the environment and achieve its goals if enough consideration is given when developing trade and energy policies (for example, the rate of increase in energy consumption is stable and the transition to green energy is accelerated, the trade policies transform the country’s industry into a view where the share of polluting industries is reduced and less energy-dense modern technologies are used). © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract Human-induced global warming and climate change are the greatest threat that we have ever faced. In parallel, the greater trade liberalization, energy usage and higher pollution intensities, therefore, raise questions about the climate impacts of trade liberalization and energy consumption. To find out the environmental effects of trade and energy factors, there are a considerable number of papers in the literature. Correspondingly, we explore the role of trade openness and energy usage on carbon emission ($ CO_{2} $) for 30 Sub-Saharan African (SSA) countries based on 1980–2018 yearly data. For this purpose, we apply the Granger causality test and cointegration approach in panel data estimation methodology. The main findings of interest in this paper are the existence of a cointegration relationship and one-way causality between variables in the long run both according to the Vector Error Correction Model (VECM) and Granger causality analysis. As anticipated, energy use has a significant long-run effect on rising carbon emissions. On the other hand, the study finds positive bi-directional causality between trade openness and carbon emissions. The country will have the chance to avoid the negative effects of these two factors on the environment and achieve its goals if enough consideration is given when developing trade and energy policies (for example, the rate of increase in energy consumption is stable and the transition to green energy is accelerated, the trade policies transform the country’s industry into a view where the share of polluting industries is reduced and less energy-dense modern technologies are used). © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract Human-induced global warming and climate change are the greatest threat that we have ever faced. In parallel, the greater trade liberalization, energy usage and higher pollution intensities, therefore, raise questions about the climate impacts of trade liberalization and energy consumption. To find out the environmental effects of trade and energy factors, there are a considerable number of papers in the literature. Correspondingly, we explore the role of trade openness and energy usage on carbon emission ($ CO_{2} $) for 30 Sub-Saharan African (SSA) countries based on 1980–2018 yearly data. For this purpose, we apply the Granger causality test and cointegration approach in panel data estimation methodology. The main findings of interest in this paper are the existence of a cointegration relationship and one-way causality between variables in the long run both according to the Vector Error Correction Model (VECM) and Granger causality analysis. As anticipated, energy use has a significant long-run effect on rising carbon emissions. On the other hand, the study finds positive bi-directional causality between trade openness and carbon emissions. The country will have the chance to avoid the negative effects of these two factors on the environment and achieve its goals if enough consideration is given when developing trade and energy policies (for example, the rate of increase in energy consumption is stable and the transition to green energy is accelerated, the trade policies transform the country’s industry into a view where the share of polluting industries is reduced and less energy-dense modern technologies are used). © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Carbon emissions effect of trade openness and energy consumption in Sub-Saharan Africa |
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https://dx.doi.org/10.1007/s43546-022-00380-6 |
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2024-07-04T00:46:22.731Z |
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