Renewable energy, agriculture, and carbon dioxide emissions nexus: implications for sustainable development in sub-Saharan African countries
Abstract Sub-Saharan Africa (SSA) has experienced a high economic growth rate over the last two decades, which has been accompanied by concerns about increasing carbon dioxide ($ CO_{2} $) emissions. This study aims to find out whether renewable energy and agriculture can help reduce $ CO_{2} $ emis...
Ausführliche Beschreibung
Autor*in: |
Wang, Jingyi [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2023 |
---|
Schlagwörter: |
---|
Anmerkung: |
© The Author(s) 2023 |
---|
Übergeordnetes Werk: |
Enthalten in: Sustainable environment research - Tainan : Inst., 2010, 33(2023), 1 vom: 26. Sept. |
---|---|
Übergeordnetes Werk: |
volume:33 ; year:2023 ; number:1 ; day:26 ; month:09 |
Links: |
---|
DOI / URN: |
10.1186/s42834-023-00193-8 |
---|
Katalog-ID: |
SPR053214625 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | SPR053214625 | ||
003 | DE-627 | ||
005 | 20231121064924.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231002s2023 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1186/s42834-023-00193-8 |2 doi | |
035 | |a (DE-627)SPR053214625 | ||
035 | |a (SPR)s42834-023-00193-8-e | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Wang, Jingyi |e verfasserin |4 aut | |
245 | 1 | 0 | |a Renewable energy, agriculture, and carbon dioxide emissions nexus: implications for sustainable development in sub-Saharan African countries |
264 | 1 | |c 2023 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a © The Author(s) 2023 | ||
520 | |a Abstract Sub-Saharan Africa (SSA) has experienced a high economic growth rate over the last two decades, which has been accompanied by concerns about increasing carbon dioxide ($ CO_{2} $) emissions. This study aims to find out whether renewable energy and agriculture can help reduce $ CO_{2} $ emissions for selected SSA countries. A balanced dataset incorporating $ CO_{2} $ emissions, renewable energy consumption, agricultural land per capita, GDP per capita, urbanization level and energy intensity of 38 SSA countries covering the period 2000–2019 is utilized. The differentiated-generalized method of moments (GMM) is employed as a benchmark estimation method to estimate the effects of renewable energy and agriculture on $ CO_{2} $. The regional heterogeneity analysis of countries at different income levels is then carried out. The moderating role of government governance in the energy-agriculture-environment nexus is also investigated. The following conclusions are highlighted: (1) the consumption of renewable energy can reduce $ CO_{2} $ emissions, while agriculture increases them; (2) the mitigating effect of renewable energy on $ CO_{2} $ emissions is relatively larger in countries at a low income level countries than in high-income countries, while agriculture aggravates $ CO_{2} $ emissions in lower middle-income and low-income regions, but mitigates emissions in upper middle-income regions; and (3) governance quality turns the mitigating role of renewable energy use on $ CO_{2} $ emissions into an increasing one, and exaggerates the polluting effect of agriculture. Finally, the study proposes policy implications for improving renewable energy use and green agricultural growth to achieve sustainable development in SSA. | ||
650 | 4 | |a Renewable energy consumption |7 (dpeaa)DE-He213 | |
650 | 4 | |a Agriculture |7 (dpeaa)DE-He213 | |
650 | 4 | |a CO |7 (dpeaa)DE-He213 | |
650 | 4 | |a emissions |7 (dpeaa)DE-He213 | |
650 | 4 | |a Government governance |7 (dpeaa)DE-He213 | |
700 | 1 | |a Jiang, Chenglin |4 aut | |
700 | 1 | |a Li, Mingquan |4 aut | |
700 | 1 | |a Zhang, Shuai |4 aut | |
700 | 1 | |a Zhang, Xuebiao |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Sustainable environment research |d Tainan : Inst., 2010 |g 33(2023), 1 vom: 26. Sept. |w (DE-627)678784418 |w (DE-600)2641138-6 |x 2468-2039 |7 nnns |
773 | 1 | 8 | |g volume:33 |g year:2023 |g number:1 |g day:26 |g month:09 |
856 | 4 | 0 | |u https://dx.doi.org/10.1186/s42834-023-00193-8 |z kostenfrei |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_SPRINGER | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_63 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_70 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_170 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_370 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_2147 | ||
912 | |a GBV_ILN_2148 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4335 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4367 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 33 |j 2023 |e 1 |b 26 |c 09 |
author_variant |
j w jw c j cj m l ml s z sz x z xz |
---|---|
matchkey_str |
article:24682039:2023----::eealeegarcluencrodoiemsinnxsmlctosossanbeeeom |
hierarchy_sort_str |
2023 |
publishDate |
2023 |
allfields |
10.1186/s42834-023-00193-8 doi (DE-627)SPR053214625 (SPR)s42834-023-00193-8-e DE-627 ger DE-627 rakwb eng Wang, Jingyi verfasserin aut Renewable energy, agriculture, and carbon dioxide emissions nexus: implications for sustainable development in sub-Saharan African countries 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Sub-Saharan Africa (SSA) has experienced a high economic growth rate over the last two decades, which has been accompanied by concerns about increasing carbon dioxide ($ CO_{2} $) emissions. This study aims to find out whether renewable energy and agriculture can help reduce $ CO_{2} $ emissions for selected SSA countries. A balanced dataset incorporating $ CO_{2} $ emissions, renewable energy consumption, agricultural land per capita, GDP per capita, urbanization level and energy intensity of 38 SSA countries covering the period 2000–2019 is utilized. The differentiated-generalized method of moments (GMM) is employed as a benchmark estimation method to estimate the effects of renewable energy and agriculture on $ CO_{2} $. The regional heterogeneity analysis of countries at different income levels is then carried out. The moderating role of government governance in the energy-agriculture-environment nexus is also investigated. The following conclusions are highlighted: (1) the consumption of renewable energy can reduce $ CO_{2} $ emissions, while agriculture increases them; (2) the mitigating effect of renewable energy on $ CO_{2} $ emissions is relatively larger in countries at a low income level countries than in high-income countries, while agriculture aggravates $ CO_{2} $ emissions in lower middle-income and low-income regions, but mitigates emissions in upper middle-income regions; and (3) governance quality turns the mitigating role of renewable energy use on $ CO_{2} $ emissions into an increasing one, and exaggerates the polluting effect of agriculture. Finally, the study proposes policy implications for improving renewable energy use and green agricultural growth to achieve sustainable development in SSA. Renewable energy consumption (dpeaa)DE-He213 Agriculture (dpeaa)DE-He213 CO (dpeaa)DE-He213 emissions (dpeaa)DE-He213 Government governance (dpeaa)DE-He213 Jiang, Chenglin aut Li, Mingquan aut Zhang, Shuai aut Zhang, Xuebiao aut Enthalten in Sustainable environment research Tainan : Inst., 2010 33(2023), 1 vom: 26. Sept. (DE-627)678784418 (DE-600)2641138-6 2468-2039 nnns volume:33 year:2023 number:1 day:26 month:09 https://dx.doi.org/10.1186/s42834-023-00193-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 33 2023 1 26 09 |
spelling |
10.1186/s42834-023-00193-8 doi (DE-627)SPR053214625 (SPR)s42834-023-00193-8-e DE-627 ger DE-627 rakwb eng Wang, Jingyi verfasserin aut Renewable energy, agriculture, and carbon dioxide emissions nexus: implications for sustainable development in sub-Saharan African countries 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Sub-Saharan Africa (SSA) has experienced a high economic growth rate over the last two decades, which has been accompanied by concerns about increasing carbon dioxide ($ CO_{2} $) emissions. This study aims to find out whether renewable energy and agriculture can help reduce $ CO_{2} $ emissions for selected SSA countries. A balanced dataset incorporating $ CO_{2} $ emissions, renewable energy consumption, agricultural land per capita, GDP per capita, urbanization level and energy intensity of 38 SSA countries covering the period 2000–2019 is utilized. The differentiated-generalized method of moments (GMM) is employed as a benchmark estimation method to estimate the effects of renewable energy and agriculture on $ CO_{2} $. The regional heterogeneity analysis of countries at different income levels is then carried out. The moderating role of government governance in the energy-agriculture-environment nexus is also investigated. The following conclusions are highlighted: (1) the consumption of renewable energy can reduce $ CO_{2} $ emissions, while agriculture increases them; (2) the mitigating effect of renewable energy on $ CO_{2} $ emissions is relatively larger in countries at a low income level countries than in high-income countries, while agriculture aggravates $ CO_{2} $ emissions in lower middle-income and low-income regions, but mitigates emissions in upper middle-income regions; and (3) governance quality turns the mitigating role of renewable energy use on $ CO_{2} $ emissions into an increasing one, and exaggerates the polluting effect of agriculture. Finally, the study proposes policy implications for improving renewable energy use and green agricultural growth to achieve sustainable development in SSA. Renewable energy consumption (dpeaa)DE-He213 Agriculture (dpeaa)DE-He213 CO (dpeaa)DE-He213 emissions (dpeaa)DE-He213 Government governance (dpeaa)DE-He213 Jiang, Chenglin aut Li, Mingquan aut Zhang, Shuai aut Zhang, Xuebiao aut Enthalten in Sustainable environment research Tainan : Inst., 2010 33(2023), 1 vom: 26. Sept. (DE-627)678784418 (DE-600)2641138-6 2468-2039 nnns volume:33 year:2023 number:1 day:26 month:09 https://dx.doi.org/10.1186/s42834-023-00193-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 33 2023 1 26 09 |
allfields_unstemmed |
10.1186/s42834-023-00193-8 doi (DE-627)SPR053214625 (SPR)s42834-023-00193-8-e DE-627 ger DE-627 rakwb eng Wang, Jingyi verfasserin aut Renewable energy, agriculture, and carbon dioxide emissions nexus: implications for sustainable development in sub-Saharan African countries 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Sub-Saharan Africa (SSA) has experienced a high economic growth rate over the last two decades, which has been accompanied by concerns about increasing carbon dioxide ($ CO_{2} $) emissions. This study aims to find out whether renewable energy and agriculture can help reduce $ CO_{2} $ emissions for selected SSA countries. A balanced dataset incorporating $ CO_{2} $ emissions, renewable energy consumption, agricultural land per capita, GDP per capita, urbanization level and energy intensity of 38 SSA countries covering the period 2000–2019 is utilized. The differentiated-generalized method of moments (GMM) is employed as a benchmark estimation method to estimate the effects of renewable energy and agriculture on $ CO_{2} $. The regional heterogeneity analysis of countries at different income levels is then carried out. The moderating role of government governance in the energy-agriculture-environment nexus is also investigated. The following conclusions are highlighted: (1) the consumption of renewable energy can reduce $ CO_{2} $ emissions, while agriculture increases them; (2) the mitigating effect of renewable energy on $ CO_{2} $ emissions is relatively larger in countries at a low income level countries than in high-income countries, while agriculture aggravates $ CO_{2} $ emissions in lower middle-income and low-income regions, but mitigates emissions in upper middle-income regions; and (3) governance quality turns the mitigating role of renewable energy use on $ CO_{2} $ emissions into an increasing one, and exaggerates the polluting effect of agriculture. Finally, the study proposes policy implications for improving renewable energy use and green agricultural growth to achieve sustainable development in SSA. Renewable energy consumption (dpeaa)DE-He213 Agriculture (dpeaa)DE-He213 CO (dpeaa)DE-He213 emissions (dpeaa)DE-He213 Government governance (dpeaa)DE-He213 Jiang, Chenglin aut Li, Mingquan aut Zhang, Shuai aut Zhang, Xuebiao aut Enthalten in Sustainable environment research Tainan : Inst., 2010 33(2023), 1 vom: 26. Sept. (DE-627)678784418 (DE-600)2641138-6 2468-2039 nnns volume:33 year:2023 number:1 day:26 month:09 https://dx.doi.org/10.1186/s42834-023-00193-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 33 2023 1 26 09 |
allfieldsGer |
10.1186/s42834-023-00193-8 doi (DE-627)SPR053214625 (SPR)s42834-023-00193-8-e DE-627 ger DE-627 rakwb eng Wang, Jingyi verfasserin aut Renewable energy, agriculture, and carbon dioxide emissions nexus: implications for sustainable development in sub-Saharan African countries 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Sub-Saharan Africa (SSA) has experienced a high economic growth rate over the last two decades, which has been accompanied by concerns about increasing carbon dioxide ($ CO_{2} $) emissions. This study aims to find out whether renewable energy and agriculture can help reduce $ CO_{2} $ emissions for selected SSA countries. A balanced dataset incorporating $ CO_{2} $ emissions, renewable energy consumption, agricultural land per capita, GDP per capita, urbanization level and energy intensity of 38 SSA countries covering the period 2000–2019 is utilized. The differentiated-generalized method of moments (GMM) is employed as a benchmark estimation method to estimate the effects of renewable energy and agriculture on $ CO_{2} $. The regional heterogeneity analysis of countries at different income levels is then carried out. The moderating role of government governance in the energy-agriculture-environment nexus is also investigated. The following conclusions are highlighted: (1) the consumption of renewable energy can reduce $ CO_{2} $ emissions, while agriculture increases them; (2) the mitigating effect of renewable energy on $ CO_{2} $ emissions is relatively larger in countries at a low income level countries than in high-income countries, while agriculture aggravates $ CO_{2} $ emissions in lower middle-income and low-income regions, but mitigates emissions in upper middle-income regions; and (3) governance quality turns the mitigating role of renewable energy use on $ CO_{2} $ emissions into an increasing one, and exaggerates the polluting effect of agriculture. Finally, the study proposes policy implications for improving renewable energy use and green agricultural growth to achieve sustainable development in SSA. Renewable energy consumption (dpeaa)DE-He213 Agriculture (dpeaa)DE-He213 CO (dpeaa)DE-He213 emissions (dpeaa)DE-He213 Government governance (dpeaa)DE-He213 Jiang, Chenglin aut Li, Mingquan aut Zhang, Shuai aut Zhang, Xuebiao aut Enthalten in Sustainable environment research Tainan : Inst., 2010 33(2023), 1 vom: 26. Sept. (DE-627)678784418 (DE-600)2641138-6 2468-2039 nnns volume:33 year:2023 number:1 day:26 month:09 https://dx.doi.org/10.1186/s42834-023-00193-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 33 2023 1 26 09 |
allfieldsSound |
10.1186/s42834-023-00193-8 doi (DE-627)SPR053214625 (SPR)s42834-023-00193-8-e DE-627 ger DE-627 rakwb eng Wang, Jingyi verfasserin aut Renewable energy, agriculture, and carbon dioxide emissions nexus: implications for sustainable development in sub-Saharan African countries 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Sub-Saharan Africa (SSA) has experienced a high economic growth rate over the last two decades, which has been accompanied by concerns about increasing carbon dioxide ($ CO_{2} $) emissions. This study aims to find out whether renewable energy and agriculture can help reduce $ CO_{2} $ emissions for selected SSA countries. A balanced dataset incorporating $ CO_{2} $ emissions, renewable energy consumption, agricultural land per capita, GDP per capita, urbanization level and energy intensity of 38 SSA countries covering the period 2000–2019 is utilized. The differentiated-generalized method of moments (GMM) is employed as a benchmark estimation method to estimate the effects of renewable energy and agriculture on $ CO_{2} $. The regional heterogeneity analysis of countries at different income levels is then carried out. The moderating role of government governance in the energy-agriculture-environment nexus is also investigated. The following conclusions are highlighted: (1) the consumption of renewable energy can reduce $ CO_{2} $ emissions, while agriculture increases them; (2) the mitigating effect of renewable energy on $ CO_{2} $ emissions is relatively larger in countries at a low income level countries than in high-income countries, while agriculture aggravates $ CO_{2} $ emissions in lower middle-income and low-income regions, but mitigates emissions in upper middle-income regions; and (3) governance quality turns the mitigating role of renewable energy use on $ CO_{2} $ emissions into an increasing one, and exaggerates the polluting effect of agriculture. Finally, the study proposes policy implications for improving renewable energy use and green agricultural growth to achieve sustainable development in SSA. Renewable energy consumption (dpeaa)DE-He213 Agriculture (dpeaa)DE-He213 CO (dpeaa)DE-He213 emissions (dpeaa)DE-He213 Government governance (dpeaa)DE-He213 Jiang, Chenglin aut Li, Mingquan aut Zhang, Shuai aut Zhang, Xuebiao aut Enthalten in Sustainable environment research Tainan : Inst., 2010 33(2023), 1 vom: 26. Sept. (DE-627)678784418 (DE-600)2641138-6 2468-2039 nnns volume:33 year:2023 number:1 day:26 month:09 https://dx.doi.org/10.1186/s42834-023-00193-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 33 2023 1 26 09 |
language |
English |
source |
Enthalten in Sustainable environment research 33(2023), 1 vom: 26. Sept. volume:33 year:2023 number:1 day:26 month:09 |
sourceStr |
Enthalten in Sustainable environment research 33(2023), 1 vom: 26. Sept. volume:33 year:2023 number:1 day:26 month:09 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Renewable energy consumption Agriculture CO emissions Government governance |
isfreeaccess_bool |
true |
container_title |
Sustainable environment research |
authorswithroles_txt_mv |
Wang, Jingyi @@aut@@ Jiang, Chenglin @@aut@@ Li, Mingquan @@aut@@ Zhang, Shuai @@aut@@ Zhang, Xuebiao @@aut@@ |
publishDateDaySort_date |
2023-09-26T00:00:00Z |
hierarchy_top_id |
678784418 |
id |
SPR053214625 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR053214625</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20231121064924.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231002s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s42834-023-00193-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR053214625</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s42834-023-00193-8-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, Jingyi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Renewable energy, agriculture, and carbon dioxide emissions nexus: implications for sustainable development in sub-Saharan African countries</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2023</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Sub-Saharan Africa (SSA) has experienced a high economic growth rate over the last two decades, which has been accompanied by concerns about increasing carbon dioxide ($ CO_{2} $) emissions. This study aims to find out whether renewable energy and agriculture can help reduce $ CO_{2} $ emissions for selected SSA countries. A balanced dataset incorporating $ CO_{2} $ emissions, renewable energy consumption, agricultural land per capita, GDP per capita, urbanization level and energy intensity of 38 SSA countries covering the period 2000–2019 is utilized. The differentiated-generalized method of moments (GMM) is employed as a benchmark estimation method to estimate the effects of renewable energy and agriculture on $ CO_{2} $. The regional heterogeneity analysis of countries at different income levels is then carried out. The moderating role of government governance in the energy-agriculture-environment nexus is also investigated. The following conclusions are highlighted: (1) the consumption of renewable energy can reduce $ CO_{2} $ emissions, while agriculture increases them; (2) the mitigating effect of renewable energy on $ CO_{2} $ emissions is relatively larger in countries at a low income level countries than in high-income countries, while agriculture aggravates $ CO_{2} $ emissions in lower middle-income and low-income regions, but mitigates emissions in upper middle-income regions; and (3) governance quality turns the mitigating role of renewable energy use on $ CO_{2} $ emissions into an increasing one, and exaggerates the polluting effect of agriculture. Finally, the study proposes policy implications for improving renewable energy use and green agricultural growth to achieve sustainable development in SSA.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Renewable energy consumption</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Agriculture</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">CO</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">emissions</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Government governance</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jiang, Chenglin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Li, Mingquan</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Shuai</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Xuebiao</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Sustainable environment research</subfield><subfield code="d">Tainan : Inst., 2010</subfield><subfield code="g">33(2023), 1 vom: 26. Sept.</subfield><subfield code="w">(DE-627)678784418</subfield><subfield code="w">(DE-600)2641138-6</subfield><subfield code="x">2468-2039</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:33</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:1</subfield><subfield code="g">day:26</subfield><subfield code="g">month:09</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1186/s42834-023-00193-8</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">33</subfield><subfield code="j">2023</subfield><subfield code="e">1</subfield><subfield code="b">26</subfield><subfield code="c">09</subfield></datafield></record></collection>
|
author |
Wang, Jingyi |
spellingShingle |
Wang, Jingyi misc Renewable energy consumption misc Agriculture misc CO misc emissions misc Government governance Renewable energy, agriculture, and carbon dioxide emissions nexus: implications for sustainable development in sub-Saharan African countries |
authorStr |
Wang, Jingyi |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)678784418 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut |
collection |
springer |
remote_str |
true |
illustrated |
Not Illustrated |
issn |
2468-2039 |
topic_title |
Renewable energy, agriculture, and carbon dioxide emissions nexus: implications for sustainable development in sub-Saharan African countries Renewable energy consumption (dpeaa)DE-He213 Agriculture (dpeaa)DE-He213 CO (dpeaa)DE-He213 emissions (dpeaa)DE-He213 Government governance (dpeaa)DE-He213 |
topic |
misc Renewable energy consumption misc Agriculture misc CO misc emissions misc Government governance |
topic_unstemmed |
misc Renewable energy consumption misc Agriculture misc CO misc emissions misc Government governance |
topic_browse |
misc Renewable energy consumption misc Agriculture misc CO misc emissions misc Government governance |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Sustainable environment research |
hierarchy_parent_id |
678784418 |
hierarchy_top_title |
Sustainable environment research |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)678784418 (DE-600)2641138-6 |
title |
Renewable energy, agriculture, and carbon dioxide emissions nexus: implications for sustainable development in sub-Saharan African countries |
ctrlnum |
(DE-627)SPR053214625 (SPR)s42834-023-00193-8-e |
title_full |
Renewable energy, agriculture, and carbon dioxide emissions nexus: implications for sustainable development in sub-Saharan African countries |
author_sort |
Wang, Jingyi |
journal |
Sustainable environment research |
journalStr |
Sustainable environment research |
lang_code |
eng |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2023 |
contenttype_str_mv |
txt |
author_browse |
Wang, Jingyi Jiang, Chenglin Li, Mingquan Zhang, Shuai Zhang, Xuebiao |
container_volume |
33 |
format_se |
Elektronische Aufsätze |
author-letter |
Wang, Jingyi |
doi_str_mv |
10.1186/s42834-023-00193-8 |
title_sort |
renewable energy, agriculture, and carbon dioxide emissions nexus: implications for sustainable development in sub-saharan african countries |
title_auth |
Renewable energy, agriculture, and carbon dioxide emissions nexus: implications for sustainable development in sub-Saharan African countries |
abstract |
Abstract Sub-Saharan Africa (SSA) has experienced a high economic growth rate over the last two decades, which has been accompanied by concerns about increasing carbon dioxide ($ CO_{2} $) emissions. This study aims to find out whether renewable energy and agriculture can help reduce $ CO_{2} $ emissions for selected SSA countries. A balanced dataset incorporating $ CO_{2} $ emissions, renewable energy consumption, agricultural land per capita, GDP per capita, urbanization level and energy intensity of 38 SSA countries covering the period 2000–2019 is utilized. The differentiated-generalized method of moments (GMM) is employed as a benchmark estimation method to estimate the effects of renewable energy and agriculture on $ CO_{2} $. The regional heterogeneity analysis of countries at different income levels is then carried out. The moderating role of government governance in the energy-agriculture-environment nexus is also investigated. The following conclusions are highlighted: (1) the consumption of renewable energy can reduce $ CO_{2} $ emissions, while agriculture increases them; (2) the mitigating effect of renewable energy on $ CO_{2} $ emissions is relatively larger in countries at a low income level countries than in high-income countries, while agriculture aggravates $ CO_{2} $ emissions in lower middle-income and low-income regions, but mitigates emissions in upper middle-income regions; and (3) governance quality turns the mitigating role of renewable energy use on $ CO_{2} $ emissions into an increasing one, and exaggerates the polluting effect of agriculture. Finally, the study proposes policy implications for improving renewable energy use and green agricultural growth to achieve sustainable development in SSA. © The Author(s) 2023 |
abstractGer |
Abstract Sub-Saharan Africa (SSA) has experienced a high economic growth rate over the last two decades, which has been accompanied by concerns about increasing carbon dioxide ($ CO_{2} $) emissions. This study aims to find out whether renewable energy and agriculture can help reduce $ CO_{2} $ emissions for selected SSA countries. A balanced dataset incorporating $ CO_{2} $ emissions, renewable energy consumption, agricultural land per capita, GDP per capita, urbanization level and energy intensity of 38 SSA countries covering the period 2000–2019 is utilized. The differentiated-generalized method of moments (GMM) is employed as a benchmark estimation method to estimate the effects of renewable energy and agriculture on $ CO_{2} $. The regional heterogeneity analysis of countries at different income levels is then carried out. The moderating role of government governance in the energy-agriculture-environment nexus is also investigated. The following conclusions are highlighted: (1) the consumption of renewable energy can reduce $ CO_{2} $ emissions, while agriculture increases them; (2) the mitigating effect of renewable energy on $ CO_{2} $ emissions is relatively larger in countries at a low income level countries than in high-income countries, while agriculture aggravates $ CO_{2} $ emissions in lower middle-income and low-income regions, but mitigates emissions in upper middle-income regions; and (3) governance quality turns the mitigating role of renewable energy use on $ CO_{2} $ emissions into an increasing one, and exaggerates the polluting effect of agriculture. Finally, the study proposes policy implications for improving renewable energy use and green agricultural growth to achieve sustainable development in SSA. © The Author(s) 2023 |
abstract_unstemmed |
Abstract Sub-Saharan Africa (SSA) has experienced a high economic growth rate over the last two decades, which has been accompanied by concerns about increasing carbon dioxide ($ CO_{2} $) emissions. This study aims to find out whether renewable energy and agriculture can help reduce $ CO_{2} $ emissions for selected SSA countries. A balanced dataset incorporating $ CO_{2} $ emissions, renewable energy consumption, agricultural land per capita, GDP per capita, urbanization level and energy intensity of 38 SSA countries covering the period 2000–2019 is utilized. The differentiated-generalized method of moments (GMM) is employed as a benchmark estimation method to estimate the effects of renewable energy and agriculture on $ CO_{2} $. The regional heterogeneity analysis of countries at different income levels is then carried out. The moderating role of government governance in the energy-agriculture-environment nexus is also investigated. The following conclusions are highlighted: (1) the consumption of renewable energy can reduce $ CO_{2} $ emissions, while agriculture increases them; (2) the mitigating effect of renewable energy on $ CO_{2} $ emissions is relatively larger in countries at a low income level countries than in high-income countries, while agriculture aggravates $ CO_{2} $ emissions in lower middle-income and low-income regions, but mitigates emissions in upper middle-income regions; and (3) governance quality turns the mitigating role of renewable energy use on $ CO_{2} $ emissions into an increasing one, and exaggerates the polluting effect of agriculture. Finally, the study proposes policy implications for improving renewable energy use and green agricultural growth to achieve sustainable development in SSA. © The Author(s) 2023 |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 |
container_issue |
1 |
title_short |
Renewable energy, agriculture, and carbon dioxide emissions nexus: implications for sustainable development in sub-Saharan African countries |
url |
https://dx.doi.org/10.1186/s42834-023-00193-8 |
remote_bool |
true |
author2 |
Jiang, Chenglin Li, Mingquan Zhang, Shuai Zhang, Xuebiao |
author2Str |
Jiang, Chenglin Li, Mingquan Zhang, Shuai Zhang, Xuebiao |
ppnlink |
678784418 |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.1186/s42834-023-00193-8 |
up_date |
2024-07-03T17:53:51.711Z |
_version_ |
1803581371681079297 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR053214625</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20231121064924.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231002s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s42834-023-00193-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR053214625</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s42834-023-00193-8-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, Jingyi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Renewable energy, agriculture, and carbon dioxide emissions nexus: implications for sustainable development in sub-Saharan African countries</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2023</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Sub-Saharan Africa (SSA) has experienced a high economic growth rate over the last two decades, which has been accompanied by concerns about increasing carbon dioxide ($ CO_{2} $) emissions. This study aims to find out whether renewable energy and agriculture can help reduce $ CO_{2} $ emissions for selected SSA countries. A balanced dataset incorporating $ CO_{2} $ emissions, renewable energy consumption, agricultural land per capita, GDP per capita, urbanization level and energy intensity of 38 SSA countries covering the period 2000–2019 is utilized. The differentiated-generalized method of moments (GMM) is employed as a benchmark estimation method to estimate the effects of renewable energy and agriculture on $ CO_{2} $. The regional heterogeneity analysis of countries at different income levels is then carried out. The moderating role of government governance in the energy-agriculture-environment nexus is also investigated. The following conclusions are highlighted: (1) the consumption of renewable energy can reduce $ CO_{2} $ emissions, while agriculture increases them; (2) the mitigating effect of renewable energy on $ CO_{2} $ emissions is relatively larger in countries at a low income level countries than in high-income countries, while agriculture aggravates $ CO_{2} $ emissions in lower middle-income and low-income regions, but mitigates emissions in upper middle-income regions; and (3) governance quality turns the mitigating role of renewable energy use on $ CO_{2} $ emissions into an increasing one, and exaggerates the polluting effect of agriculture. Finally, the study proposes policy implications for improving renewable energy use and green agricultural growth to achieve sustainable development in SSA.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Renewable energy consumption</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Agriculture</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">CO</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">emissions</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Government governance</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jiang, Chenglin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Li, Mingquan</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Shuai</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Xuebiao</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Sustainable environment research</subfield><subfield code="d">Tainan : Inst., 2010</subfield><subfield code="g">33(2023), 1 vom: 26. Sept.</subfield><subfield code="w">(DE-627)678784418</subfield><subfield code="w">(DE-600)2641138-6</subfield><subfield code="x">2468-2039</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:33</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:1</subfield><subfield code="g">day:26</subfield><subfield code="g">month:09</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1186/s42834-023-00193-8</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">33</subfield><subfield code="j">2023</subfield><subfield code="e">1</subfield><subfield code="b">26</subfield><subfield code="c">09</subfield></datafield></record></collection>
|
score |
7.399208 |