Carbon Emission Effects Driven by Evolution of Chinese Dietary Structure from 1987 to 2020
Abstract Exploring carbon emission effects based on the evolution of residents’ dietary structure to achieve the carbon neutrality goal and mitigate climate change is an important task. This study took China as the research object (data excluding Hong Kong, Macao and Taiwan) and used the carbon emis...
Ausführliche Beschreibung
Autor*in: |
Zhu, Yuanyuan [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Anmerkung: |
© Science Press, Northeast Institute of Geography and Agroecology, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2023 |
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Übergeordnetes Werk: |
Enthalten in: Chinese geographical science - Beijing : Science Press, 1991, 34(2023), 1 vom: 13. Sept., Seite 181-194 |
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Übergeordnetes Werk: |
volume:34 ; year:2023 ; number:1 ; day:13 ; month:09 ; pages:181-194 |
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DOI / URN: |
10.1007/s11769-023-1374-9 |
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Katalog-ID: |
SPR054492238 |
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520 | |a Abstract Exploring carbon emission effects based on the evolution of residents’ dietary structure to achieve the carbon neutrality goal and mitigate climate change is an important task. This study took China as the research object (data excluding Hong Kong, Macao and Taiwan) and used the carbon emission coefficient method to quantitatively measure the food carbon emissions from 1987–2020, then analyzed the carbon emission effects under the evolution of dietary structure. The results showed that during the study period, the Chinese dietary structure gradually changed to a high-carbon consumption pattern. The dietary structure of urban residents developed to a balanced one, while that of rural residents developed to a high-quality one. During the study period, the per capita food carbon emissions and total food consumption of Chinese showed an increasing trend. The per capita food carbon emissions of residents in urban and rural showed an overall upward trend. The total food carbon emissions in urban increased significantly, while that in rural increased first and then decreased. The influence of beef and mutton on carbon emissions is the highest in dietary structure. Compared with the balanced dietary pattern, the food carbon emissions of Chinese residents had not yet reached the peak, but were evolving to a high-carbon consumption pattern. | ||
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10.1007/s11769-023-1374-9 doi (DE-627)SPR054492238 (SPR)s11769-023-1374-9-e DE-627 ger DE-627 rakwb eng Zhu, Yuanyuan verfasserin aut Carbon Emission Effects Driven by Evolution of Chinese Dietary Structure from 1987 to 2020 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press, Northeast Institute of Geography and Agroecology, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2023 Abstract Exploring carbon emission effects based on the evolution of residents’ dietary structure to achieve the carbon neutrality goal and mitigate climate change is an important task. This study took China as the research object (data excluding Hong Kong, Macao and Taiwan) and used the carbon emission coefficient method to quantitatively measure the food carbon emissions from 1987–2020, then analyzed the carbon emission effects under the evolution of dietary structure. The results showed that during the study period, the Chinese dietary structure gradually changed to a high-carbon consumption pattern. The dietary structure of urban residents developed to a balanced one, while that of rural residents developed to a high-quality one. During the study period, the per capita food carbon emissions and total food consumption of Chinese showed an increasing trend. The per capita food carbon emissions of residents in urban and rural showed an overall upward trend. The total food carbon emissions in urban increased significantly, while that in rural increased first and then decreased. The influence of beef and mutton on carbon emissions is the highest in dietary structure. Compared with the balanced dietary pattern, the food carbon emissions of Chinese residents had not yet reached the peak, but were evolving to a high-carbon consumption pattern. dietary structure (dpeaa)DE-He213 structural evolution (dpeaa)DE-He213 carbon emission effects (dpeaa)DE-He213 carbon neutrality (dpeaa)DE-He213 China (dpeaa)DE-He213 Zhang, Yan aut Zhu, Xiaohua aut Enthalten in Chinese geographical science Beijing : Science Press, 1991 34(2023), 1 vom: 13. Sept., Seite 181-194 (DE-627)523858086 (DE-600)2268241-7 1993-064X nnns volume:34 year:2023 number:1 day:13 month:09 pages:181-194 https://dx.doi.org/10.1007/s11769-023-1374-9 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 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_2188 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_2548 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 34 2023 1 13 09 181-194 |
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10.1007/s11769-023-1374-9 doi (DE-627)SPR054492238 (SPR)s11769-023-1374-9-e DE-627 ger DE-627 rakwb eng Zhu, Yuanyuan verfasserin aut Carbon Emission Effects Driven by Evolution of Chinese Dietary Structure from 1987 to 2020 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press, Northeast Institute of Geography and Agroecology, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2023 Abstract Exploring carbon emission effects based on the evolution of residents’ dietary structure to achieve the carbon neutrality goal and mitigate climate change is an important task. This study took China as the research object (data excluding Hong Kong, Macao and Taiwan) and used the carbon emission coefficient method to quantitatively measure the food carbon emissions from 1987–2020, then analyzed the carbon emission effects under the evolution of dietary structure. The results showed that during the study period, the Chinese dietary structure gradually changed to a high-carbon consumption pattern. The dietary structure of urban residents developed to a balanced one, while that of rural residents developed to a high-quality one. During the study period, the per capita food carbon emissions and total food consumption of Chinese showed an increasing trend. The per capita food carbon emissions of residents in urban and rural showed an overall upward trend. The total food carbon emissions in urban increased significantly, while that in rural increased first and then decreased. The influence of beef and mutton on carbon emissions is the highest in dietary structure. Compared with the balanced dietary pattern, the food carbon emissions of Chinese residents had not yet reached the peak, but were evolving to a high-carbon consumption pattern. dietary structure (dpeaa)DE-He213 structural evolution (dpeaa)DE-He213 carbon emission effects (dpeaa)DE-He213 carbon neutrality (dpeaa)DE-He213 China (dpeaa)DE-He213 Zhang, Yan aut Zhu, Xiaohua aut Enthalten in Chinese geographical science Beijing : Science Press, 1991 34(2023), 1 vom: 13. Sept., Seite 181-194 (DE-627)523858086 (DE-600)2268241-7 1993-064X nnns volume:34 year:2023 number:1 day:13 month:09 pages:181-194 https://dx.doi.org/10.1007/s11769-023-1374-9 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 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_2188 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_2548 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 34 2023 1 13 09 181-194 |
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10.1007/s11769-023-1374-9 doi (DE-627)SPR054492238 (SPR)s11769-023-1374-9-e DE-627 ger DE-627 rakwb eng Zhu, Yuanyuan verfasserin aut Carbon Emission Effects Driven by Evolution of Chinese Dietary Structure from 1987 to 2020 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press, Northeast Institute of Geography and Agroecology, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2023 Abstract Exploring carbon emission effects based on the evolution of residents’ dietary structure to achieve the carbon neutrality goal and mitigate climate change is an important task. This study took China as the research object (data excluding Hong Kong, Macao and Taiwan) and used the carbon emission coefficient method to quantitatively measure the food carbon emissions from 1987–2020, then analyzed the carbon emission effects under the evolution of dietary structure. The results showed that during the study period, the Chinese dietary structure gradually changed to a high-carbon consumption pattern. The dietary structure of urban residents developed to a balanced one, while that of rural residents developed to a high-quality one. During the study period, the per capita food carbon emissions and total food consumption of Chinese showed an increasing trend. The per capita food carbon emissions of residents in urban and rural showed an overall upward trend. The total food carbon emissions in urban increased significantly, while that in rural increased first and then decreased. The influence of beef and mutton on carbon emissions is the highest in dietary structure. Compared with the balanced dietary pattern, the food carbon emissions of Chinese residents had not yet reached the peak, but were evolving to a high-carbon consumption pattern. dietary structure (dpeaa)DE-He213 structural evolution (dpeaa)DE-He213 carbon emission effects (dpeaa)DE-He213 carbon neutrality (dpeaa)DE-He213 China (dpeaa)DE-He213 Zhang, Yan aut Zhu, Xiaohua aut Enthalten in Chinese geographical science Beijing : Science Press, 1991 34(2023), 1 vom: 13. Sept., Seite 181-194 (DE-627)523858086 (DE-600)2268241-7 1993-064X nnns volume:34 year:2023 number:1 day:13 month:09 pages:181-194 https://dx.doi.org/10.1007/s11769-023-1374-9 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 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_2188 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_2548 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 34 2023 1 13 09 181-194 |
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10.1007/s11769-023-1374-9 doi (DE-627)SPR054492238 (SPR)s11769-023-1374-9-e DE-627 ger DE-627 rakwb eng Zhu, Yuanyuan verfasserin aut Carbon Emission Effects Driven by Evolution of Chinese Dietary Structure from 1987 to 2020 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press, Northeast Institute of Geography and Agroecology, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2023 Abstract Exploring carbon emission effects based on the evolution of residents’ dietary structure to achieve the carbon neutrality goal and mitigate climate change is an important task. This study took China as the research object (data excluding Hong Kong, Macao and Taiwan) and used the carbon emission coefficient method to quantitatively measure the food carbon emissions from 1987–2020, then analyzed the carbon emission effects under the evolution of dietary structure. The results showed that during the study period, the Chinese dietary structure gradually changed to a high-carbon consumption pattern. The dietary structure of urban residents developed to a balanced one, while that of rural residents developed to a high-quality one. During the study period, the per capita food carbon emissions and total food consumption of Chinese showed an increasing trend. The per capita food carbon emissions of residents in urban and rural showed an overall upward trend. The total food carbon emissions in urban increased significantly, while that in rural increased first and then decreased. The influence of beef and mutton on carbon emissions is the highest in dietary structure. Compared with the balanced dietary pattern, the food carbon emissions of Chinese residents had not yet reached the peak, but were evolving to a high-carbon consumption pattern. dietary structure (dpeaa)DE-He213 structural evolution (dpeaa)DE-He213 carbon emission effects (dpeaa)DE-He213 carbon neutrality (dpeaa)DE-He213 China (dpeaa)DE-He213 Zhang, Yan aut Zhu, Xiaohua aut Enthalten in Chinese geographical science Beijing : Science Press, 1991 34(2023), 1 vom: 13. Sept., Seite 181-194 (DE-627)523858086 (DE-600)2268241-7 1993-064X nnns volume:34 year:2023 number:1 day:13 month:09 pages:181-194 https://dx.doi.org/10.1007/s11769-023-1374-9 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 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_2188 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_2548 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 34 2023 1 13 09 181-194 |
allfieldsSound |
10.1007/s11769-023-1374-9 doi (DE-627)SPR054492238 (SPR)s11769-023-1374-9-e DE-627 ger DE-627 rakwb eng Zhu, Yuanyuan verfasserin aut Carbon Emission Effects Driven by Evolution of Chinese Dietary Structure from 1987 to 2020 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press, Northeast Institute of Geography and Agroecology, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2023 Abstract Exploring carbon emission effects based on the evolution of residents’ dietary structure to achieve the carbon neutrality goal and mitigate climate change is an important task. This study took China as the research object (data excluding Hong Kong, Macao and Taiwan) and used the carbon emission coefficient method to quantitatively measure the food carbon emissions from 1987–2020, then analyzed the carbon emission effects under the evolution of dietary structure. The results showed that during the study period, the Chinese dietary structure gradually changed to a high-carbon consumption pattern. The dietary structure of urban residents developed to a balanced one, while that of rural residents developed to a high-quality one. During the study period, the per capita food carbon emissions and total food consumption of Chinese showed an increasing trend. The per capita food carbon emissions of residents in urban and rural showed an overall upward trend. The total food carbon emissions in urban increased significantly, while that in rural increased first and then decreased. The influence of beef and mutton on carbon emissions is the highest in dietary structure. Compared with the balanced dietary pattern, the food carbon emissions of Chinese residents had not yet reached the peak, but were evolving to a high-carbon consumption pattern. dietary structure (dpeaa)DE-He213 structural evolution (dpeaa)DE-He213 carbon emission effects (dpeaa)DE-He213 carbon neutrality (dpeaa)DE-He213 China (dpeaa)DE-He213 Zhang, Yan aut Zhu, Xiaohua aut Enthalten in Chinese geographical science Beijing : Science Press, 1991 34(2023), 1 vom: 13. Sept., Seite 181-194 (DE-627)523858086 (DE-600)2268241-7 1993-064X nnns volume:34 year:2023 number:1 day:13 month:09 pages:181-194 https://dx.doi.org/10.1007/s11769-023-1374-9 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 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_2188 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_2548 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 34 2023 1 13 09 181-194 |
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Zhu, Yuanyuan |
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Carbon Emission Effects Driven by Evolution of Chinese Dietary Structure from 1987 to 2020 dietary structure (dpeaa)DE-He213 structural evolution (dpeaa)DE-He213 carbon emission effects (dpeaa)DE-He213 carbon neutrality (dpeaa)DE-He213 China (dpeaa)DE-He213 |
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carbon emission effects driven by evolution of chinese dietary structure from 1987 to 2020 |
title_auth |
Carbon Emission Effects Driven by Evolution of Chinese Dietary Structure from 1987 to 2020 |
abstract |
Abstract Exploring carbon emission effects based on the evolution of residents’ dietary structure to achieve the carbon neutrality goal and mitigate climate change is an important task. This study took China as the research object (data excluding Hong Kong, Macao and Taiwan) and used the carbon emission coefficient method to quantitatively measure the food carbon emissions from 1987–2020, then analyzed the carbon emission effects under the evolution of dietary structure. The results showed that during the study period, the Chinese dietary structure gradually changed to a high-carbon consumption pattern. The dietary structure of urban residents developed to a balanced one, while that of rural residents developed to a high-quality one. During the study period, the per capita food carbon emissions and total food consumption of Chinese showed an increasing trend. The per capita food carbon emissions of residents in urban and rural showed an overall upward trend. The total food carbon emissions in urban increased significantly, while that in rural increased first and then decreased. The influence of beef and mutton on carbon emissions is the highest in dietary structure. Compared with the balanced dietary pattern, the food carbon emissions of Chinese residents had not yet reached the peak, but were evolving to a high-carbon consumption pattern. © Science Press, Northeast Institute of Geography and Agroecology, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2023 |
abstractGer |
Abstract Exploring carbon emission effects based on the evolution of residents’ dietary structure to achieve the carbon neutrality goal and mitigate climate change is an important task. This study took China as the research object (data excluding Hong Kong, Macao and Taiwan) and used the carbon emission coefficient method to quantitatively measure the food carbon emissions from 1987–2020, then analyzed the carbon emission effects under the evolution of dietary structure. The results showed that during the study period, the Chinese dietary structure gradually changed to a high-carbon consumption pattern. The dietary structure of urban residents developed to a balanced one, while that of rural residents developed to a high-quality one. During the study period, the per capita food carbon emissions and total food consumption of Chinese showed an increasing trend. The per capita food carbon emissions of residents in urban and rural showed an overall upward trend. The total food carbon emissions in urban increased significantly, while that in rural increased first and then decreased. The influence of beef and mutton on carbon emissions is the highest in dietary structure. Compared with the balanced dietary pattern, the food carbon emissions of Chinese residents had not yet reached the peak, but were evolving to a high-carbon consumption pattern. © Science Press, Northeast Institute of Geography and Agroecology, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2023 |
abstract_unstemmed |
Abstract Exploring carbon emission effects based on the evolution of residents’ dietary structure to achieve the carbon neutrality goal and mitigate climate change is an important task. This study took China as the research object (data excluding Hong Kong, Macao and Taiwan) and used the carbon emission coefficient method to quantitatively measure the food carbon emissions from 1987–2020, then analyzed the carbon emission effects under the evolution of dietary structure. The results showed that during the study period, the Chinese dietary structure gradually changed to a high-carbon consumption pattern. The dietary structure of urban residents developed to a balanced one, while that of rural residents developed to a high-quality one. During the study period, the per capita food carbon emissions and total food consumption of Chinese showed an increasing trend. The per capita food carbon emissions of residents in urban and rural showed an overall upward trend. The total food carbon emissions in urban increased significantly, while that in rural increased first and then decreased. The influence of beef and mutton on carbon emissions is the highest in dietary structure. Compared with the balanced dietary pattern, the food carbon emissions of Chinese residents had not yet reached the peak, but were evolving to a high-carbon consumption pattern. © Science Press, Northeast Institute of Geography and Agroecology, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2023 |
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1 |
title_short |
Carbon Emission Effects Driven by Evolution of Chinese Dietary Structure from 1987 to 2020 |
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https://dx.doi.org/10.1007/s11769-023-1374-9 |
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Zhang, Yan Zhu, Xiaohua |
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10.1007/s11769-023-1374-9 |
up_date |
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