Quantifying the carbon footprint reduction potential of lifestyle choices in Japan
Numerous studies have investigated the hotspots for reducing carbon emissions associated with household consumption, including reducing household carbon footprints (CFs) and greener lifestyle choices, such as living car-free, eating less meat, and having one less child. However, estimating the effec...
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Veröffentlicht in: | Environmental research letters 2021-06, Vol.16 (6), p.64022 |
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description | Numerous studies have investigated the hotspots for reducing carbon emissions associated with household consumption, including reducing household carbon footprints (CFs) and greener lifestyle choices, such as living car-free, eating less meat, and having one less child. However, estimating the effect of each of these actions requires the simultaneous consideration of lifestyle choices and household characteristics that could also affect the household CF. Here, we quantify the reduction in household CFs for 25 factors associated with individual lifestyle choices or socioeconomic characteristics. This study linked approximately 42 000 microdata on consumption expenditure with the Japanese subnational 47 prefecture-level multi-regional input–output table, which are both the finest-scale data currently available. We improved the accuracy of household CF calculations by considering regional heterogeneity, and successfully estimated the magnitude of household CF reduction associated with individual lifestyle choices and socioeconomics. For example, it was found that moving from a cold region to a region with mild climate would have considerable potential for reducing the CO
2
emissions of a household, all other factors being equal. In addition, a household residing in a house that meets the most recent energy standards emits 1150 kg less CO
2
per year than if they reside in a house that meets previous energy standards. Ownership and use of durable goods also had the potential for reducing the CO
2
emissions of a household; a normal-sized car, a personal computer, a compact car, and a bidet were associated with CO
2
emissions of 922, 712, 421, and 345 kg per year, respectively. The findings therefore have important implications for climate change mitigation and policy measures associated with lifestyle. |
doi_str_mv | 10.1088/1748-9326/abfc07 |
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2
emissions of a household, all other factors being equal. In addition, a household residing in a house that meets the most recent energy standards emits 1150 kg less CO
2
per year than if they reside in a house that meets previous energy standards. Ownership and use of durable goods also had the potential for reducing the CO
2
emissions of a household; a normal-sized car, a personal computer, a compact car, and a bidet were associated with CO
2
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2
emissions of a household, all other factors being equal. In addition, a household residing in a house that meets the most recent energy standards emits 1150 kg less CO
2
per year than if they reside in a house that meets previous energy standards. Ownership and use of durable goods also had the potential for reducing the CO
2
emissions of a household; a normal-sized car, a personal computer, a compact car, and a bidet were associated with CO
2
emissions of 922, 712, 421, and 345 kg per year, respectively. The findings therefore have important implications for climate change mitigation and policy measures associated with lifestyle.</description><subject>Carbon</subject><subject>Carbon dioxide</subject><subject>Carbon dioxide emissions</subject><subject>Carbon footprint</subject><subject>Climate change</subject><subject>Climate change mitigation</subject><subject>Cold regions</subject><subject>Compact cars</subject><subject>Consumption</subject><subject>Economic factors</subject><subject>Emissions</subject><subject>Footprint analysis</subject><subject>Heterogeneity</subject><subject>household carbon footprint</subject><subject>Households</subject><subject>Japan</subject><subject>lifestyle choices</subject><subject>Lifestyles</subject><subject>Meat</subject><subject>MRIO</subject><subject>Personal computers</subject><subject>Reduction</subject><subject>regression analysis</subject><subject>Social factors</subject><subject>Socioeconomic factors</subject><subject>Socioeconomics</subject><issn>1748-9326</issn><issn>1748-9326</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNp1UT1PwzAQjRBIlMLOGImBhVJ_xxlRxUdRJQTqbjnOuXUV4uC4Q_89LkGFAaY7Pb_37vwuyy4xusVIyikumJyUlIiprqxBxVE2OkDHv_rT7KzvNwhxxgs5yt5et7qNzu5cu8rjGnKjQ-Xb3Hofu-DamAeotya6hHU-QuLqJvc2b5yFPu6apFh7Z6DPXZs_606359mJ1U0PF991nC0f7pezp8ni5XE-u1tMDBdFnFQVrTBinFoOtTZgGLKW6kJobbAFUxMq9q-lFNZIqkGYmuGCSzAWmYqOs_lgW3u9UWnXdx12ymunvgAfVkqH6EwDijFUYFuWvATCDCNS4qoSpZQgQQhCktfV4NUF_7FN_1Ibvw1t2l4RTrlIudEisdDAMsH3fQB7mIqR2h9B7VNW-5TVcIQkuR4kznc_nhAahYUSCgmGCFFdbRPz5g_mv8af4SCW1A</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Shigetomi, Yosuke</creator><creator>Kanemoto, Keiichiro</creator><creator>Yamamoto, Yuki</creator><creator>Kondo, Yasushi</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6855-2691</orcidid><orcidid>https://orcid.org/0000-0002-6222-4566</orcidid><orcidid>https://orcid.org/0000-0003-1384-0992</orcidid><orcidid>https://orcid.org/0000-0003-0230-9020</orcidid></search><sort><creationdate>20210601</creationdate><title>Quantifying the carbon footprint reduction potential of lifestyle choices in Japan</title><author>Shigetomi, Yosuke ; Kanemoto, Keiichiro ; Yamamoto, Yuki ; Kondo, Yasushi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c567t-bb3b10453f5edacec40ff3a76aac1fecd236453f986fc83ae6cd41758ecf0cb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Carbon</topic><topic>Carbon dioxide</topic><topic>Carbon dioxide emissions</topic><topic>Carbon footprint</topic><topic>Climate change</topic><topic>Climate change mitigation</topic><topic>Cold regions</topic><topic>Compact cars</topic><topic>Consumption</topic><topic>Economic factors</topic><topic>Emissions</topic><topic>Footprint analysis</topic><topic>Heterogeneity</topic><topic>household carbon footprint</topic><topic>Households</topic><topic>Japan</topic><topic>lifestyle choices</topic><topic>Lifestyles</topic><topic>Meat</topic><topic>MRIO</topic><topic>Personal computers</topic><topic>Reduction</topic><topic>regression analysis</topic><topic>Social factors</topic><topic>Socioeconomic factors</topic><topic>Socioeconomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shigetomi, Yosuke</creatorcontrib><creatorcontrib>Kanemoto, Keiichiro</creatorcontrib><creatorcontrib>Yamamoto, Yuki</creatorcontrib><creatorcontrib>Kondo, Yasushi</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Environmental research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shigetomi, Yosuke</au><au>Kanemoto, Keiichiro</au><au>Yamamoto, Yuki</au><au>Kondo, Yasushi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantifying the carbon footprint reduction potential of lifestyle choices in Japan</atitle><jtitle>Environmental research letters</jtitle><stitle>ERL</stitle><addtitle>Environ. Res. Lett</addtitle><date>2021-06-01</date><risdate>2021</risdate><volume>16</volume><issue>6</issue><spage>64022</spage><pages>64022-</pages><issn>1748-9326</issn><eissn>1748-9326</eissn><coden>ERLNAL</coden><abstract>Numerous studies have investigated the hotspots for reducing carbon emissions associated with household consumption, including reducing household carbon footprints (CFs) and greener lifestyle choices, such as living car-free, eating less meat, and having one less child. However, estimating the effect of each of these actions requires the simultaneous consideration of lifestyle choices and household characteristics that could also affect the household CF. Here, we quantify the reduction in household CFs for 25 factors associated with individual lifestyle choices or socioeconomic characteristics. This study linked approximately 42 000 microdata on consumption expenditure with the Japanese subnational 47 prefecture-level multi-regional input–output table, which are both the finest-scale data currently available. We improved the accuracy of household CF calculations by considering regional heterogeneity, and successfully estimated the magnitude of household CF reduction associated with individual lifestyle choices and socioeconomics. For example, it was found that moving from a cold region to a region with mild climate would have considerable potential for reducing the CO
2
emissions of a household, all other factors being equal. In addition, a household residing in a house that meets the most recent energy standards emits 1150 kg less CO
2
per year than if they reside in a house that meets previous energy standards. Ownership and use of durable goods also had the potential for reducing the CO
2
emissions of a household; a normal-sized car, a personal computer, a compact car, and a bidet were associated with CO
2
emissions of 922, 712, 421, and 345 kg per year, respectively. The findings therefore have important implications for climate change mitigation and policy measures associated with lifestyle.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1748-9326/abfc07</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-6855-2691</orcidid><orcidid>https://orcid.org/0000-0002-6222-4566</orcidid><orcidid>https://orcid.org/0000-0003-1384-0992</orcidid><orcidid>https://orcid.org/0000-0003-0230-9020</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Carbon Carbon dioxide Carbon dioxide emissions Carbon footprint Climate change Climate change mitigation Cold regions Compact cars Consumption Economic factors Emissions Footprint analysis Heterogeneity household carbon footprint Households Japan lifestyle choices Lifestyles Meat MRIO Personal computers Reduction regression analysis Social factors Socioeconomic factors Socioeconomics |
title | Quantifying the carbon footprint reduction potential of lifestyle choices in Japan |
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