Will the imposition of carbon tariffs enhance or worsen the carbon performance of China's export industries? A reality check based on 28 manufacturing industry segments
Abstract Carbon tariffs are directly linked to carbon performance and have an impact on export sectors. This paper examines the relationship between carbon tariffs and carbon performance based on China’s manufacturing sector, helping to visually quantify the impact of carbon tariffs and to adopt mor...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhang, Jijian [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 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: Environmental science and pollution research - Berlin : Springer, 1994, 30(2022), 13 vom: 22. Dez., Seite 36472-36484 |
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| Übergeordnetes Werk: |
volume:30 ; year:2022 ; number:13 ; day:22 ; month:12 ; pages:36472-36484 |
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| DOI / URN: |
10.1007/s11356-022-24856-y |
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| Katalog-ID: |
SPR049832646 |
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| 520 | |a Abstract Carbon tariffs are directly linked to carbon performance and have an impact on export sectors. This paper examines the relationship between carbon tariffs and carbon performance based on China’s manufacturing sector, helping to visually quantify the impact of carbon tariffs and to adopt more favourable strategies to address the impact. This paper uses data from 28 manufacturing industry segments in China from 2009 to 2019, estimating carbon performance using an SBM model incorporating non-desired outputs. The panel Tobit model is also used to explore the driving role of carbon tariffs and related variables on carbon performance. The results show the following: First of all, China’s manufacturing carbon performance is generally on an upward trend but is mainly driven by improvements in the light textile and machinery manufacturing industries. Secondly, in terms of drivers of carbon performance, the imposition of carbon tariffs will increase the carbon performance of China’s manufacturing sector. Furthermore, R&D investment is positively correlated with carbon emission performance. The significant positive impact of export dependence is manifested in the light and textile industry. Energy intensity has a significant positive impact on the textile industry and a significant negative impact on the resource processing industry. Environmental regulations have a negative impact on the light textile industry. China should optimize the industrial chain of resource processing industry. At the same time, China should increase R&D investment in emission reduction and product upgrades, encourage the export of light and textile industrial products, increase the import of resource processing industrial products. Also, the government should formulate environmental regulatory policies that are close to the nature of the industry. | ||
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10.1007/s11356-022-24856-y doi (DE-627)SPR049832646 (SPR)s11356-022-24856-y-e DE-627 ger DE-627 rakwb eng Zhang, Jijian verfasserin (orcid)0000-0001-7477-7689 aut Will the imposition of carbon tariffs enhance or worsen the carbon performance of China's export industries? A reality check based on 28 manufacturing industry segments 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 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 Carbon tariffs are directly linked to carbon performance and have an impact on export sectors. This paper examines the relationship between carbon tariffs and carbon performance based on China’s manufacturing sector, helping to visually quantify the impact of carbon tariffs and to adopt more favourable strategies to address the impact. This paper uses data from 28 manufacturing industry segments in China from 2009 to 2019, estimating carbon performance using an SBM model incorporating non-desired outputs. The panel Tobit model is also used to explore the driving role of carbon tariffs and related variables on carbon performance. The results show the following: First of all, China’s manufacturing carbon performance is generally on an upward trend but is mainly driven by improvements in the light textile and machinery manufacturing industries. Secondly, in terms of drivers of carbon performance, the imposition of carbon tariffs will increase the carbon performance of China’s manufacturing sector. Furthermore, R&D investment is positively correlated with carbon emission performance. The significant positive impact of export dependence is manifested in the light and textile industry. Energy intensity has a significant positive impact on the textile industry and a significant negative impact on the resource processing industry. Environmental regulations have a negative impact on the light textile industry. China should optimize the industrial chain of resource processing industry. At the same time, China should increase R&D investment in emission reduction and product upgrades, encourage the export of light and textile industrial products, increase the import of resource processing industrial products. Also, the government should formulate environmental regulatory policies that are close to the nature of the industry. Carbon tariffs (dpeaa)DE-He213 Carbon emission performance (dpeaa)DE-He213 Manufacturing industry (dpeaa)DE-He213 SBM model with undesirable outputs (dpeaa)DE-He213 Textile industry (dpeaa)DE-He213 Panel Tobit model (dpeaa)DE-He213 Yang, Kaili aut Qin, Jie aut Enthalten in Environmental science and pollution research Berlin : Springer, 1994 30(2022), 13 vom: 22. Dez., Seite 36472-36484 (DE-627)320517926 (DE-600)2014192-0 1614-7499 nnns volume:30 year:2022 number:13 day:22 month:12 pages:36472-36484 https://dx.doi.org/10.1007/s11356-022-24856-y 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_381 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_2360 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 30 2022 13 22 12 36472-36484 |
| spelling |
10.1007/s11356-022-24856-y doi (DE-627)SPR049832646 (SPR)s11356-022-24856-y-e DE-627 ger DE-627 rakwb eng Zhang, Jijian verfasserin (orcid)0000-0001-7477-7689 aut Will the imposition of carbon tariffs enhance or worsen the carbon performance of China's export industries? A reality check based on 28 manufacturing industry segments 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 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 Carbon tariffs are directly linked to carbon performance and have an impact on export sectors. This paper examines the relationship between carbon tariffs and carbon performance based on China’s manufacturing sector, helping to visually quantify the impact of carbon tariffs and to adopt more favourable strategies to address the impact. This paper uses data from 28 manufacturing industry segments in China from 2009 to 2019, estimating carbon performance using an SBM model incorporating non-desired outputs. The panel Tobit model is also used to explore the driving role of carbon tariffs and related variables on carbon performance. The results show the following: First of all, China’s manufacturing carbon performance is generally on an upward trend but is mainly driven by improvements in the light textile and machinery manufacturing industries. Secondly, in terms of drivers of carbon performance, the imposition of carbon tariffs will increase the carbon performance of China’s manufacturing sector. Furthermore, R&D investment is positively correlated with carbon emission performance. The significant positive impact of export dependence is manifested in the light and textile industry. Energy intensity has a significant positive impact on the textile industry and a significant negative impact on the resource processing industry. Environmental regulations have a negative impact on the light textile industry. China should optimize the industrial chain of resource processing industry. At the same time, China should increase R&D investment in emission reduction and product upgrades, encourage the export of light and textile industrial products, increase the import of resource processing industrial products. Also, the government should formulate environmental regulatory policies that are close to the nature of the industry. Carbon tariffs (dpeaa)DE-He213 Carbon emission performance (dpeaa)DE-He213 Manufacturing industry (dpeaa)DE-He213 SBM model with undesirable outputs (dpeaa)DE-He213 Textile industry (dpeaa)DE-He213 Panel Tobit model (dpeaa)DE-He213 Yang, Kaili aut Qin, Jie aut Enthalten in Environmental science and pollution research Berlin : Springer, 1994 30(2022), 13 vom: 22. Dez., Seite 36472-36484 (DE-627)320517926 (DE-600)2014192-0 1614-7499 nnns volume:30 year:2022 number:13 day:22 month:12 pages:36472-36484 https://dx.doi.org/10.1007/s11356-022-24856-y 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_381 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_2360 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 30 2022 13 22 12 36472-36484 |
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10.1007/s11356-022-24856-y doi (DE-627)SPR049832646 (SPR)s11356-022-24856-y-e DE-627 ger DE-627 rakwb eng Zhang, Jijian verfasserin (orcid)0000-0001-7477-7689 aut Will the imposition of carbon tariffs enhance or worsen the carbon performance of China's export industries? A reality check based on 28 manufacturing industry segments 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 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 Carbon tariffs are directly linked to carbon performance and have an impact on export sectors. This paper examines the relationship between carbon tariffs and carbon performance based on China’s manufacturing sector, helping to visually quantify the impact of carbon tariffs and to adopt more favourable strategies to address the impact. This paper uses data from 28 manufacturing industry segments in China from 2009 to 2019, estimating carbon performance using an SBM model incorporating non-desired outputs. The panel Tobit model is also used to explore the driving role of carbon tariffs and related variables on carbon performance. The results show the following: First of all, China’s manufacturing carbon performance is generally on an upward trend but is mainly driven by improvements in the light textile and machinery manufacturing industries. Secondly, in terms of drivers of carbon performance, the imposition of carbon tariffs will increase the carbon performance of China’s manufacturing sector. Furthermore, R&D investment is positively correlated with carbon emission performance. The significant positive impact of export dependence is manifested in the light and textile industry. Energy intensity has a significant positive impact on the textile industry and a significant negative impact on the resource processing industry. Environmental regulations have a negative impact on the light textile industry. China should optimize the industrial chain of resource processing industry. At the same time, China should increase R&D investment in emission reduction and product upgrades, encourage the export of light and textile industrial products, increase the import of resource processing industrial products. Also, the government should formulate environmental regulatory policies that are close to the nature of the industry. Carbon tariffs (dpeaa)DE-He213 Carbon emission performance (dpeaa)DE-He213 Manufacturing industry (dpeaa)DE-He213 SBM model with undesirable outputs (dpeaa)DE-He213 Textile industry (dpeaa)DE-He213 Panel Tobit model (dpeaa)DE-He213 Yang, Kaili aut Qin, Jie aut Enthalten in Environmental science and pollution research Berlin : Springer, 1994 30(2022), 13 vom: 22. Dez., Seite 36472-36484 (DE-627)320517926 (DE-600)2014192-0 1614-7499 nnns volume:30 year:2022 number:13 day:22 month:12 pages:36472-36484 https://dx.doi.org/10.1007/s11356-022-24856-y 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_381 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_2360 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 30 2022 13 22 12 36472-36484 |
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10.1007/s11356-022-24856-y doi (DE-627)SPR049832646 (SPR)s11356-022-24856-y-e DE-627 ger DE-627 rakwb eng Zhang, Jijian verfasserin (orcid)0000-0001-7477-7689 aut Will the imposition of carbon tariffs enhance or worsen the carbon performance of China's export industries? A reality check based on 28 manufacturing industry segments 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 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 Carbon tariffs are directly linked to carbon performance and have an impact on export sectors. This paper examines the relationship between carbon tariffs and carbon performance based on China’s manufacturing sector, helping to visually quantify the impact of carbon tariffs and to adopt more favourable strategies to address the impact. This paper uses data from 28 manufacturing industry segments in China from 2009 to 2019, estimating carbon performance using an SBM model incorporating non-desired outputs. The panel Tobit model is also used to explore the driving role of carbon tariffs and related variables on carbon performance. The results show the following: First of all, China’s manufacturing carbon performance is generally on an upward trend but is mainly driven by improvements in the light textile and machinery manufacturing industries. Secondly, in terms of drivers of carbon performance, the imposition of carbon tariffs will increase the carbon performance of China’s manufacturing sector. Furthermore, R&D investment is positively correlated with carbon emission performance. The significant positive impact of export dependence is manifested in the light and textile industry. Energy intensity has a significant positive impact on the textile industry and a significant negative impact on the resource processing industry. Environmental regulations have a negative impact on the light textile industry. China should optimize the industrial chain of resource processing industry. At the same time, China should increase R&D investment in emission reduction and product upgrades, encourage the export of light and textile industrial products, increase the import of resource processing industrial products. Also, the government should formulate environmental regulatory policies that are close to the nature of the industry. Carbon tariffs (dpeaa)DE-He213 Carbon emission performance (dpeaa)DE-He213 Manufacturing industry (dpeaa)DE-He213 SBM model with undesirable outputs (dpeaa)DE-He213 Textile industry (dpeaa)DE-He213 Panel Tobit model (dpeaa)DE-He213 Yang, Kaili aut Qin, Jie aut Enthalten in Environmental science and pollution research Berlin : Springer, 1994 30(2022), 13 vom: 22. Dez., Seite 36472-36484 (DE-627)320517926 (DE-600)2014192-0 1614-7499 nnns volume:30 year:2022 number:13 day:22 month:12 pages:36472-36484 https://dx.doi.org/10.1007/s11356-022-24856-y 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_381 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_2360 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 30 2022 13 22 12 36472-36484 |
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10.1007/s11356-022-24856-y doi (DE-627)SPR049832646 (SPR)s11356-022-24856-y-e DE-627 ger DE-627 rakwb eng Zhang, Jijian verfasserin (orcid)0000-0001-7477-7689 aut Will the imposition of carbon tariffs enhance or worsen the carbon performance of China's export industries? A reality check based on 28 manufacturing industry segments 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 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 Carbon tariffs are directly linked to carbon performance and have an impact on export sectors. This paper examines the relationship between carbon tariffs and carbon performance based on China’s manufacturing sector, helping to visually quantify the impact of carbon tariffs and to adopt more favourable strategies to address the impact. This paper uses data from 28 manufacturing industry segments in China from 2009 to 2019, estimating carbon performance using an SBM model incorporating non-desired outputs. The panel Tobit model is also used to explore the driving role of carbon tariffs and related variables on carbon performance. The results show the following: First of all, China’s manufacturing carbon performance is generally on an upward trend but is mainly driven by improvements in the light textile and machinery manufacturing industries. Secondly, in terms of drivers of carbon performance, the imposition of carbon tariffs will increase the carbon performance of China’s manufacturing sector. Furthermore, R&D investment is positively correlated with carbon emission performance. The significant positive impact of export dependence is manifested in the light and textile industry. Energy intensity has a significant positive impact on the textile industry and a significant negative impact on the resource processing industry. Environmental regulations have a negative impact on the light textile industry. China should optimize the industrial chain of resource processing industry. At the same time, China should increase R&D investment in emission reduction and product upgrades, encourage the export of light and textile industrial products, increase the import of resource processing industrial products. Also, the government should formulate environmental regulatory policies that are close to the nature of the industry. Carbon tariffs (dpeaa)DE-He213 Carbon emission performance (dpeaa)DE-He213 Manufacturing industry (dpeaa)DE-He213 SBM model with undesirable outputs (dpeaa)DE-He213 Textile industry (dpeaa)DE-He213 Panel Tobit model (dpeaa)DE-He213 Yang, Kaili aut Qin, Jie aut Enthalten in Environmental science and pollution research Berlin : Springer, 1994 30(2022), 13 vom: 22. Dez., Seite 36472-36484 (DE-627)320517926 (DE-600)2014192-0 1614-7499 nnns volume:30 year:2022 number:13 day:22 month:12 pages:36472-36484 https://dx.doi.org/10.1007/s11356-022-24856-y 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_381 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_2360 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 30 2022 13 22 12 36472-36484 |
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Zhang, Jijian |
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Zhang, Jijian misc Carbon tariffs misc Carbon emission performance misc Manufacturing industry misc SBM model with undesirable outputs misc Textile industry misc Panel Tobit model Will the imposition of carbon tariffs enhance or worsen the carbon performance of China's export industries? A reality check based on 28 manufacturing industry segments |
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Will the imposition of carbon tariffs enhance or worsen the carbon performance of China's export industries? A reality check based on 28 manufacturing industry segments Carbon tariffs (dpeaa)DE-He213 Carbon emission performance (dpeaa)DE-He213 Manufacturing industry (dpeaa)DE-He213 SBM model with undesirable outputs (dpeaa)DE-He213 Textile industry (dpeaa)DE-He213 Panel Tobit model (dpeaa)DE-He213 |
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will the imposition of carbon tariffs enhance or worsen the carbon performance of china's export industries? a reality check based on 28 manufacturing industry segments |
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Will the imposition of carbon tariffs enhance or worsen the carbon performance of China's export industries? A reality check based on 28 manufacturing industry segments |
| abstract |
Abstract Carbon tariffs are directly linked to carbon performance and have an impact on export sectors. This paper examines the relationship between carbon tariffs and carbon performance based on China’s manufacturing sector, helping to visually quantify the impact of carbon tariffs and to adopt more favourable strategies to address the impact. This paper uses data from 28 manufacturing industry segments in China from 2009 to 2019, estimating carbon performance using an SBM model incorporating non-desired outputs. The panel Tobit model is also used to explore the driving role of carbon tariffs and related variables on carbon performance. The results show the following: First of all, China’s manufacturing carbon performance is generally on an upward trend but is mainly driven by improvements in the light textile and machinery manufacturing industries. Secondly, in terms of drivers of carbon performance, the imposition of carbon tariffs will increase the carbon performance of China’s manufacturing sector. Furthermore, R&D investment is positively correlated with carbon emission performance. The significant positive impact of export dependence is manifested in the light and textile industry. Energy intensity has a significant positive impact on the textile industry and a significant negative impact on the resource processing industry. Environmental regulations have a negative impact on the light textile industry. China should optimize the industrial chain of resource processing industry. At the same time, China should increase R&D investment in emission reduction and product upgrades, encourage the export of light and textile industrial products, increase the import of resource processing industrial products. Also, the government should formulate environmental regulatory policies that are close to the nature of the industry. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 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 Carbon tariffs are directly linked to carbon performance and have an impact on export sectors. This paper examines the relationship between carbon tariffs and carbon performance based on China’s manufacturing sector, helping to visually quantify the impact of carbon tariffs and to adopt more favourable strategies to address the impact. This paper uses data from 28 manufacturing industry segments in China from 2009 to 2019, estimating carbon performance using an SBM model incorporating non-desired outputs. The panel Tobit model is also used to explore the driving role of carbon tariffs and related variables on carbon performance. The results show the following: First of all, China’s manufacturing carbon performance is generally on an upward trend but is mainly driven by improvements in the light textile and machinery manufacturing industries. Secondly, in terms of drivers of carbon performance, the imposition of carbon tariffs will increase the carbon performance of China’s manufacturing sector. Furthermore, R&D investment is positively correlated with carbon emission performance. The significant positive impact of export dependence is manifested in the light and textile industry. Energy intensity has a significant positive impact on the textile industry and a significant negative impact on the resource processing industry. Environmental regulations have a negative impact on the light textile industry. China should optimize the industrial chain of resource processing industry. At the same time, China should increase R&D investment in emission reduction and product upgrades, encourage the export of light and textile industrial products, increase the import of resource processing industrial products. Also, the government should formulate environmental regulatory policies that are close to the nature of the industry. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 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 Carbon tariffs are directly linked to carbon performance and have an impact on export sectors. This paper examines the relationship between carbon tariffs and carbon performance based on China’s manufacturing sector, helping to visually quantify the impact of carbon tariffs and to adopt more favourable strategies to address the impact. This paper uses data from 28 manufacturing industry segments in China from 2009 to 2019, estimating carbon performance using an SBM model incorporating non-desired outputs. The panel Tobit model is also used to explore the driving role of carbon tariffs and related variables on carbon performance. The results show the following: First of all, China’s manufacturing carbon performance is generally on an upward trend but is mainly driven by improvements in the light textile and machinery manufacturing industries. Secondly, in terms of drivers of carbon performance, the imposition of carbon tariffs will increase the carbon performance of China’s manufacturing sector. Furthermore, R&D investment is positively correlated with carbon emission performance. The significant positive impact of export dependence is manifested in the light and textile industry. Energy intensity has a significant positive impact on the textile industry and a significant negative impact on the resource processing industry. Environmental regulations have a negative impact on the light textile industry. China should optimize the industrial chain of resource processing industry. At the same time, China should increase R&D investment in emission reduction and product upgrades, encourage the export of light and textile industrial products, increase the import of resource processing industrial products. Also, the government should formulate environmental regulatory policies that are close to the nature of the industry. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 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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Will the imposition of carbon tariffs enhance or worsen the carbon performance of China's export industries? A reality check based on 28 manufacturing industry segments |
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https://dx.doi.org/10.1007/s11356-022-24856-y |
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Yang, Kaili Qin, Jie |
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10.1007/s11356-022-24856-y |
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| score |
7.400154 |