Are there gender differences in household carbon footprints? : evidence from Spain
Gespeichert in:
| Autor*in: |
Osorio, Pilar [verfasserIn] Tobarra Gómez, María Ángeles [verfasserIn] Tomás, Manuel [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Ecological economics - Amsterdam [u.a.] : Elsevier Science, 1989, 219(2024) vom: Mai, Artikel-ID 108130, Seite 1-15 |
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| Übergeordnetes Werk: |
volume:219 ; year:2024 ; month:05 ; elocationid:108130 ; pages:1-15 |
| Links: |
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| DOI / URN: |
10.1016/j.ecolecon.2024.108130 |
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| Katalog-ID: |
1898677441 |
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| 982 | |2 26 |1 00 |x DE-206 |b Identifying the main drivers of the household carbon footprint (HCF) is a priority to reduce greenhouse gas emissions and move towards a more sustainable economy. Among the multiple factors that explain the HCF, some previous research has confirmed the relevance of gender. In this paper, we calculate the HCF of individual Spanish households using an environmentally extended multi-regional input-output model (EEMRIO) that quantifies the emissions embedded in the supply chain of goods and services that households consume. We assess the differences in consumption and emissions patterns, measuring the gender effect by a new variable, the female share of the household. This represents a remarkable improvement over previous literature that used simpler approaches. Moreover, we assess the partial effect of gender on HCF using multivariate regressions for total and sectoral emissions. Our results show that households with a majority of men have a higher HCF and carbon intensity. Even when controlling for economic, sociodemographic, and regional factors there are differences in the sectoral emissions according to gender. Female households spend more (and generate more emissions) on housing and food products, while male households show that pattern for restaurants and transport. These results can help orientate environmental campaigns and demand-side mitigation policies. | ||
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10.1016/j.ecolecon.2024.108130 doi (DE-627)1898677441 (DE-599)KXP1898677441 DE-627 ger DE-627 rda eng Osorio, Pilar verfasserin (DE-588)1317221761 (DE-627)1878968718 aut Are there gender differences in household carbon footprints? evidence from Spain Pilar Osorio, María-Ángeles Tobarra, Manuel Tomás 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Carbon disparities (dpeaa)DE-206 Econometric analysis (dpeaa)DE-206 Gender gap (dpeaa)DE-206 Household budget survey (dpeaa)DE-206 Household consumption (dpeaa)DE-206 Input-output analysis (dpeaa)DE-206 Tobarra Gómez, María Ángeles verfasserin (DE-588)1025802063 (DE-627)724279768 (DE-576)370795369 aut Tomás, Manuel verfasserin (DE-588)1305841956 (DE-627)1862668361 aut Enthalten in Ecological economics Amsterdam [u.a.] : Elsevier Science, 1989 219(2024) vom: Mai, Artikel-ID 108130, Seite 1-15 Online-Ressource (DE-627)306658135 (DE-600)1500316-4 (DE-576)081985886 0921-8009 nnns volume:219 year:2024 month:05 elocationid:108130 pages:1-15 https://www.sciencedirect.com/science/article/pii/S0921800924000272/pdfft?md5=c961370f17b02a658b3d5fba38920cae&pid=1-s2.0-S0921800924000272-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.ecolecon.2024.108130 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 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_4338 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 219 2024 5 108130 1-15 26 01 0206 4566118347 x1z 14-08-24 2403 01 DE-LFER 4574112557 00 --%%-- --%%-- n --%%-- l01 03-09-24 2403 01 DE-LFER https://doi.org/10.1016/j.ecolecon.2024.108130 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S0921800924000272/pdfft?md5=c961370f17b02a658b3d5fba38920cae&pid=1-s2.0-S0921800924000272-main.pdf 26 00 DE-206 Identifying the main drivers of the household carbon footprint (HCF) is a priority to reduce greenhouse gas emissions and move towards a more sustainable economy. Among the multiple factors that explain the HCF, some previous research has confirmed the relevance of gender. In this paper, we calculate the HCF of individual Spanish households using an environmentally extended multi-regional input-output model (EEMRIO) that quantifies the emissions embedded in the supply chain of goods and services that households consume. We assess the differences in consumption and emissions patterns, measuring the gender effect by a new variable, the female share of the household. This represents a remarkable improvement over previous literature that used simpler approaches. Moreover, we assess the partial effect of gender on HCF using multivariate regressions for total and sectoral emissions. Our results show that households with a majority of men have a higher HCF and carbon intensity. Even when controlling for economic, sociodemographic, and regional factors there are differences in the sectoral emissions according to gender. Female households spend more (and generate more emissions) on housing and food products, while male households show that pattern for restaurants and transport. These results can help orientate environmental campaigns and demand-side mitigation policies. |
| spelling |
10.1016/j.ecolecon.2024.108130 doi (DE-627)1898677441 (DE-599)KXP1898677441 DE-627 ger DE-627 rda eng Osorio, Pilar verfasserin (DE-588)1317221761 (DE-627)1878968718 aut Are there gender differences in household carbon footprints? evidence from Spain Pilar Osorio, María-Ángeles Tobarra, Manuel Tomás 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Carbon disparities (dpeaa)DE-206 Econometric analysis (dpeaa)DE-206 Gender gap (dpeaa)DE-206 Household budget survey (dpeaa)DE-206 Household consumption (dpeaa)DE-206 Input-output analysis (dpeaa)DE-206 Tobarra Gómez, María Ángeles verfasserin (DE-588)1025802063 (DE-627)724279768 (DE-576)370795369 aut Tomás, Manuel verfasserin (DE-588)1305841956 (DE-627)1862668361 aut Enthalten in Ecological economics Amsterdam [u.a.] : Elsevier Science, 1989 219(2024) vom: Mai, Artikel-ID 108130, Seite 1-15 Online-Ressource (DE-627)306658135 (DE-600)1500316-4 (DE-576)081985886 0921-8009 nnns volume:219 year:2024 month:05 elocationid:108130 pages:1-15 https://www.sciencedirect.com/science/article/pii/S0921800924000272/pdfft?md5=c961370f17b02a658b3d5fba38920cae&pid=1-s2.0-S0921800924000272-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.ecolecon.2024.108130 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 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_4338 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 219 2024 5 108130 1-15 26 01 0206 4566118347 x1z 14-08-24 2403 01 DE-LFER 4574112557 00 --%%-- --%%-- n --%%-- l01 03-09-24 2403 01 DE-LFER https://doi.org/10.1016/j.ecolecon.2024.108130 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S0921800924000272/pdfft?md5=c961370f17b02a658b3d5fba38920cae&pid=1-s2.0-S0921800924000272-main.pdf 26 00 DE-206 Identifying the main drivers of the household carbon footprint (HCF) is a priority to reduce greenhouse gas emissions and move towards a more sustainable economy. Among the multiple factors that explain the HCF, some previous research has confirmed the relevance of gender. In this paper, we calculate the HCF of individual Spanish households using an environmentally extended multi-regional input-output model (EEMRIO) that quantifies the emissions embedded in the supply chain of goods and services that households consume. We assess the differences in consumption and emissions patterns, measuring the gender effect by a new variable, the female share of the household. This represents a remarkable improvement over previous literature that used simpler approaches. Moreover, we assess the partial effect of gender on HCF using multivariate regressions for total and sectoral emissions. Our results show that households with a majority of men have a higher HCF and carbon intensity. Even when controlling for economic, sociodemographic, and regional factors there are differences in the sectoral emissions according to gender. Female households spend more (and generate more emissions) on housing and food products, while male households show that pattern for restaurants and transport. These results can help orientate environmental campaigns and demand-side mitigation policies. |
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10.1016/j.ecolecon.2024.108130 doi (DE-627)1898677441 (DE-599)KXP1898677441 DE-627 ger DE-627 rda eng Osorio, Pilar verfasserin (DE-588)1317221761 (DE-627)1878968718 aut Are there gender differences in household carbon footprints? evidence from Spain Pilar Osorio, María-Ángeles Tobarra, Manuel Tomás 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Carbon disparities (dpeaa)DE-206 Econometric analysis (dpeaa)DE-206 Gender gap (dpeaa)DE-206 Household budget survey (dpeaa)DE-206 Household consumption (dpeaa)DE-206 Input-output analysis (dpeaa)DE-206 Tobarra Gómez, María Ángeles verfasserin (DE-588)1025802063 (DE-627)724279768 (DE-576)370795369 aut Tomás, Manuel verfasserin (DE-588)1305841956 (DE-627)1862668361 aut Enthalten in Ecological economics Amsterdam [u.a.] : Elsevier Science, 1989 219(2024) vom: Mai, Artikel-ID 108130, Seite 1-15 Online-Ressource (DE-627)306658135 (DE-600)1500316-4 (DE-576)081985886 0921-8009 nnns volume:219 year:2024 month:05 elocationid:108130 pages:1-15 https://www.sciencedirect.com/science/article/pii/S0921800924000272/pdfft?md5=c961370f17b02a658b3d5fba38920cae&pid=1-s2.0-S0921800924000272-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.ecolecon.2024.108130 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 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_4338 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 219 2024 5 108130 1-15 26 01 0206 4566118347 x1z 14-08-24 2403 01 DE-LFER 4574112557 00 --%%-- --%%-- n --%%-- l01 03-09-24 2403 01 DE-LFER https://doi.org/10.1016/j.ecolecon.2024.108130 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S0921800924000272/pdfft?md5=c961370f17b02a658b3d5fba38920cae&pid=1-s2.0-S0921800924000272-main.pdf 26 00 DE-206 Identifying the main drivers of the household carbon footprint (HCF) is a priority to reduce greenhouse gas emissions and move towards a more sustainable economy. Among the multiple factors that explain the HCF, some previous research has confirmed the relevance of gender. In this paper, we calculate the HCF of individual Spanish households using an environmentally extended multi-regional input-output model (EEMRIO) that quantifies the emissions embedded in the supply chain of goods and services that households consume. We assess the differences in consumption and emissions patterns, measuring the gender effect by a new variable, the female share of the household. This represents a remarkable improvement over previous literature that used simpler approaches. Moreover, we assess the partial effect of gender on HCF using multivariate regressions for total and sectoral emissions. Our results show that households with a majority of men have a higher HCF and carbon intensity. Even when controlling for economic, sociodemographic, and regional factors there are differences in the sectoral emissions according to gender. Female households spend more (and generate more emissions) on housing and food products, while male households show that pattern for restaurants and transport. These results can help orientate environmental campaigns and demand-side mitigation policies. |
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10.1016/j.ecolecon.2024.108130 doi (DE-627)1898677441 (DE-599)KXP1898677441 DE-627 ger DE-627 rda eng Osorio, Pilar verfasserin (DE-588)1317221761 (DE-627)1878968718 aut Are there gender differences in household carbon footprints? evidence from Spain Pilar Osorio, María-Ángeles Tobarra, Manuel Tomás 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Carbon disparities (dpeaa)DE-206 Econometric analysis (dpeaa)DE-206 Gender gap (dpeaa)DE-206 Household budget survey (dpeaa)DE-206 Household consumption (dpeaa)DE-206 Input-output analysis (dpeaa)DE-206 Tobarra Gómez, María Ángeles verfasserin (DE-588)1025802063 (DE-627)724279768 (DE-576)370795369 aut Tomás, Manuel verfasserin (DE-588)1305841956 (DE-627)1862668361 aut Enthalten in Ecological economics Amsterdam [u.a.] : Elsevier Science, 1989 219(2024) vom: Mai, Artikel-ID 108130, Seite 1-15 Online-Ressource (DE-627)306658135 (DE-600)1500316-4 (DE-576)081985886 0921-8009 nnns volume:219 year:2024 month:05 elocationid:108130 pages:1-15 https://www.sciencedirect.com/science/article/pii/S0921800924000272/pdfft?md5=c961370f17b02a658b3d5fba38920cae&pid=1-s2.0-S0921800924000272-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.ecolecon.2024.108130 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 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_4338 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 219 2024 5 108130 1-15 26 01 0206 4566118347 x1z 14-08-24 2403 01 DE-LFER 4574112557 00 --%%-- --%%-- n --%%-- l01 03-09-24 2403 01 DE-LFER https://doi.org/10.1016/j.ecolecon.2024.108130 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S0921800924000272/pdfft?md5=c961370f17b02a658b3d5fba38920cae&pid=1-s2.0-S0921800924000272-main.pdf 26 00 DE-206 Identifying the main drivers of the household carbon footprint (HCF) is a priority to reduce greenhouse gas emissions and move towards a more sustainable economy. Among the multiple factors that explain the HCF, some previous research has confirmed the relevance of gender. In this paper, we calculate the HCF of individual Spanish households using an environmentally extended multi-regional input-output model (EEMRIO) that quantifies the emissions embedded in the supply chain of goods and services that households consume. We assess the differences in consumption and emissions patterns, measuring the gender effect by a new variable, the female share of the household. This represents a remarkable improvement over previous literature that used simpler approaches. Moreover, we assess the partial effect of gender on HCF using multivariate regressions for total and sectoral emissions. Our results show that households with a majority of men have a higher HCF and carbon intensity. Even when controlling for economic, sociodemographic, and regional factors there are differences in the sectoral emissions according to gender. Female households spend more (and generate more emissions) on housing and food products, while male households show that pattern for restaurants and transport. These results can help orientate environmental campaigns and demand-side mitigation policies. |
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10.1016/j.ecolecon.2024.108130 doi (DE-627)1898677441 (DE-599)KXP1898677441 DE-627 ger DE-627 rda eng Osorio, Pilar verfasserin (DE-588)1317221761 (DE-627)1878968718 aut Are there gender differences in household carbon footprints? evidence from Spain Pilar Osorio, María-Ángeles Tobarra, Manuel Tomás 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Carbon disparities (dpeaa)DE-206 Econometric analysis (dpeaa)DE-206 Gender gap (dpeaa)DE-206 Household budget survey (dpeaa)DE-206 Household consumption (dpeaa)DE-206 Input-output analysis (dpeaa)DE-206 Tobarra Gómez, María Ángeles verfasserin (DE-588)1025802063 (DE-627)724279768 (DE-576)370795369 aut Tomás, Manuel verfasserin (DE-588)1305841956 (DE-627)1862668361 aut Enthalten in Ecological economics Amsterdam [u.a.] : Elsevier Science, 1989 219(2024) vom: Mai, Artikel-ID 108130, Seite 1-15 Online-Ressource (DE-627)306658135 (DE-600)1500316-4 (DE-576)081985886 0921-8009 nnns volume:219 year:2024 month:05 elocationid:108130 pages:1-15 https://www.sciencedirect.com/science/article/pii/S0921800924000272/pdfft?md5=c961370f17b02a658b3d5fba38920cae&pid=1-s2.0-S0921800924000272-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.ecolecon.2024.108130 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 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_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 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_4338 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 219 2024 5 108130 1-15 26 01 0206 4566118347 x1z 14-08-24 2403 01 DE-LFER 4574112557 00 --%%-- --%%-- n --%%-- l01 03-09-24 2403 01 DE-LFER https://doi.org/10.1016/j.ecolecon.2024.108130 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S0921800924000272/pdfft?md5=c961370f17b02a658b3d5fba38920cae&pid=1-s2.0-S0921800924000272-main.pdf 26 00 DE-206 Identifying the main drivers of the household carbon footprint (HCF) is a priority to reduce greenhouse gas emissions and move towards a more sustainable economy. Among the multiple factors that explain the HCF, some previous research has confirmed the relevance of gender. In this paper, we calculate the HCF of individual Spanish households using an environmentally extended multi-regional input-output model (EEMRIO) that quantifies the emissions embedded in the supply chain of goods and services that households consume. We assess the differences in consumption and emissions patterns, measuring the gender effect by a new variable, the female share of the household. This represents a remarkable improvement over previous literature that used simpler approaches. Moreover, we assess the partial effect of gender on HCF using multivariate regressions for total and sectoral emissions. Our results show that households with a majority of men have a higher HCF and carbon intensity. Even when controlling for economic, sociodemographic, and regional factors there are differences in the sectoral emissions according to gender. Female households spend more (and generate more emissions) on housing and food products, while male households show that pattern for restaurants and transport. These results can help orientate environmental campaigns and demand-side mitigation policies. |
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Among the multiple factors that explain the HCF, some previous research has confirmed the relevance of gender. In this paper, we calculate the HCF of individual Spanish households using an environmentally extended multi-regional input-output model (EEMRIO) that quantifies the emissions embedded in the supply chain of goods and services that households consume. We assess the differences in consumption and emissions patterns, measuring the gender effect by a new variable, the female share of the household. This represents a remarkable improvement over previous literature that used simpler approaches. Moreover, we assess the partial effect of gender on HCF using multivariate regressions for total and sectoral emissions. Our results show that households with a majority of men have a higher HCF and carbon intensity. Even when controlling for economic, sociodemographic, and regional factors there are differences in the sectoral emissions according to gender. Female households spend more (and generate more emissions) on housing and food products, while male households show that pattern for restaurants and transport. These results can help orientate environmental campaigns and demand-side mitigation policies.</subfield></datafield></record></collection>
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26 00 DE-206 Identifying the main drivers of the household carbon footprint (HCF) is a priority to reduce greenhouse gas emissions and move towards a more sustainable economy. Among the multiple factors that explain the HCF, some previous research has confirmed the relevance of gender. In this paper, we calculate the HCF of individual Spanish households using an environmentally extended multi-regional input-output model (EEMRIO) that quantifies the emissions embedded in the supply chain of goods and services that households consume. We assess the differences in consumption and emissions patterns, measuring the gender effect by a new variable, the female share of the household. This represents a remarkable improvement over previous literature that used simpler approaches. Moreover, we assess the partial effect of gender on HCF using multivariate regressions for total and sectoral emissions. Our results show that households with a majority of men have a higher HCF and carbon intensity. Even when controlling for economic, sociodemographic, and regional factors there are differences in the sectoral emissions according to gender. Female households spend more (and generate more emissions) on housing and food products, while male households show that pattern for restaurants and transport. These results can help orientate environmental campaigns and demand-side mitigation policies Are there gender differences in household carbon footprints? evidence from Spain Pilar Osorio, María-Ángeles Tobarra, Manuel Tomás Carbon disparities (dpeaa)DE-206 Econometric analysis (dpeaa)DE-206 Gender gap (dpeaa)DE-206 Household budget survey (dpeaa)DE-206 Household consumption (dpeaa)DE-206 Input-output analysis (dpeaa)DE-206 |
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Are there gender differences in household carbon footprints? evidence from Spain |
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| title_short |
Are there gender differences in household carbon footprints? |
| url |
https://www.sciencedirect.com/science/article/pii/S0921800924000272/pdfft?md5=c961370f17b02a658b3d5fba38920cae&pid=1-s2.0-S0921800924000272-main.pdf https://doi.org/10.1016/j.ecolecon.2024.108130 |
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Tobarra Gómez, María Ángeles Tomás, Manuel |
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10.1016/j.ecolecon.2024.108130 |
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2024-09-04T05:04:02.768Z |
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ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="r">https://doi.org/10.1016/j.ecolecon.2024.108130</subfield></datafield><datafield tag="981" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="r">https://www.sciencedirect.com/science/article/pii/S0921800924000272/pdfft?md5=c961370f17b02a658b3d5fba38920cae&pid=1-s2.0-S0921800924000272-main.pdf</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="b">Identifying the main drivers of the household carbon footprint (HCF) is a priority to reduce greenhouse gas emissions and move towards a more sustainable economy. Among the multiple factors that explain the HCF, some previous research has confirmed the relevance of gender. In this paper, we calculate the HCF of individual Spanish households using an environmentally extended multi-regional input-output model (EEMRIO) that quantifies the emissions embedded in the supply chain of goods and services that households consume. We assess the differences in consumption and emissions patterns, measuring the gender effect by a new variable, the female share of the household. This represents a remarkable improvement over previous literature that used simpler approaches. Moreover, we assess the partial effect of gender on HCF using multivariate regressions for total and sectoral emissions. Our results show that households with a majority of men have a higher HCF and carbon intensity. Even when controlling for economic, sociodemographic, and regional factors there are differences in the sectoral emissions according to gender. Female households spend more (and generate more emissions) on housing and food products, while male households show that pattern for restaurants and transport. These results can help orientate environmental campaigns and demand-side mitigation policies.</subfield></datafield></record></collection>
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