Systematic map of the literature on carbon lock-in induced by long-lived capital
Long-lived capital-stocks (LLCS) such as infrastructure and buildings have significant and long-lasting implications for greenhouse gas emissions. They contribute to carbon lock-in and may hinder a rapid decarbonization of energy systems. Here we provide a systematic map of the literature on carbon...
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Veröffentlicht in: | Environmental research letters 2021-05, Vol.16 (5), p.53004 |
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description | Long-lived capital-stocks (LLCS) such as infrastructure and buildings have significant and long-lasting implications for greenhouse gas emissions. They contribute to carbon lock-in and may hinder a rapid decarbonization of energy systems. Here we provide a systematic map of the literature on carbon lock-in induced by LLCS. Based on a structured search of the Web of Science and Scopus, we identified 226 publications from 38 095 search results using a supervised machine learning approach. We show biases toward power generation and toward developed countries. We also identify 11 indicators used to quantify carbon lock-in. Quantifications of committed emissions (cumulative emissions that would occur over the remaining operational lifetime of an asset) or stranded assets (premature retirement/retrofitting or under-utilization of assets along a given pathway) are the most commonly used metrics, whereas institutional indicators are scarcely represented. The synthesis of quantifications shows that (i) global committed emissions have slightly increased over time, (ii) coal power plants are a major source of committed emissions and are exposed to risk of becoming stranded, (iii) delayed mitigation action increases stranded assets and (iv) sectoral distribution and amount of stranded assets differ between countries. A thematic analysis of policy implications highlights the need to assure stability and legitimacy of climate policies and to enable coordination between stakeholders. Carbon pricing is one of the most cited policy instrument, but the literature emphasizes that it should not be the only instrument used and should instead be complemented with other policy instruments, such as technical regulations and financial support for low carbon capital deployment. Further research is warranted on urban-scale, in developing countries and outside the electricity generation sector, notably on buildings, where stranded assets could be high. |
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They contribute to carbon lock-in and may hinder a rapid decarbonization of energy systems. Here we provide a systematic map of the literature on carbon lock-in induced by LLCS. Based on a structured search of the Web of Science and Scopus, we identified 226 publications from 38 095 search results using a supervised machine learning approach. We show biases toward power generation and toward developed countries. We also identify 11 indicators used to quantify carbon lock-in. Quantifications of committed emissions (cumulative emissions that would occur over the remaining operational lifetime of an asset) or stranded assets (premature retirement/retrofitting or under-utilization of assets along a given pathway) are the most commonly used metrics, whereas institutional indicators are scarcely represented. The synthesis of quantifications shows that (i) global committed emissions have slightly increased over time, (ii) coal power plants are a major source of committed emissions and are exposed to risk of becoming stranded, (iii) delayed mitigation action increases stranded assets and (iv) sectoral distribution and amount of stranded assets differ between countries. A thematic analysis of policy implications highlights the need to assure stability and legitimacy of climate policies and to enable coordination between stakeholders. Carbon pricing is one of the most cited policy instrument, but the literature emphasizes that it should not be the only instrument used and should instead be complemented with other policy instruments, such as technical regulations and financial support for low carbon capital deployment. Further research is warranted on urban-scale, in developing countries and outside the electricity generation sector, notably on buildings, where stranded assets could be high.</description><identifier>ISSN: 1748-9326</identifier><identifier>EISSN: 1748-9326</identifier><identifier>DOI: 10.1088/1748-9326/aba660</identifier><identifier>CODEN: ERLNAL</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Buildings ; Carbon ; carbon lock-in ; climate change mitigation ; Climate policy ; committed emissions ; Decarbonization ; Developed countries ; Developing countries ; Economics and Finance ; Electric power generation ; Emissions ; Environmental policy ; Environmental Sciences ; evidence synthesis ; Fossil fuels ; Greenhouse gases ; Humanities and Social Sciences ; Indicators ; Industrial plant emissions ; LDCs ; Learning algorithms ; long-lived capital stock ; Machine learning ; Power plants ; Retirement ; Retrofitting ; Stability analysis ; stranded assets ; systematic map</subject><ispartof>Environmental research letters, 2021-05, Vol.16 (5), p.53004</ispartof><rights>2021 The Author(s). Published by IOP Publishing Ltd</rights><rights>2021. This work is published under http://creativecommons.org/licenses/by/3.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020. 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Res. Lett</addtitle><description>Long-lived capital-stocks (LLCS) such as infrastructure and buildings have significant and long-lasting implications for greenhouse gas emissions. They contribute to carbon lock-in and may hinder a rapid decarbonization of energy systems. Here we provide a systematic map of the literature on carbon lock-in induced by LLCS. Based on a structured search of the Web of Science and Scopus, we identified 226 publications from 38 095 search results using a supervised machine learning approach. We show biases toward power generation and toward developed countries. We also identify 11 indicators used to quantify carbon lock-in. Quantifications of committed emissions (cumulative emissions that would occur over the remaining operational lifetime of an asset) or stranded assets (premature retirement/retrofitting or under-utilization of assets along a given pathway) are the most commonly used metrics, whereas institutional indicators are scarcely represented. The synthesis of quantifications shows that (i) global committed emissions have slightly increased over time, (ii) coal power plants are a major source of committed emissions and are exposed to risk of becoming stranded, (iii) delayed mitigation action increases stranded assets and (iv) sectoral distribution and amount of stranded assets differ between countries. A thematic analysis of policy implications highlights the need to assure stability and legitimacy of climate policies and to enable coordination between stakeholders. Carbon pricing is one of the most cited policy instrument, but the literature emphasizes that it should not be the only instrument used and should instead be complemented with other policy instruments, such as technical regulations and financial support for low carbon capital deployment. Further research is warranted on urban-scale, in developing countries and outside the electricity generation sector, notably on buildings, where stranded assets could be high.</description><subject>Buildings</subject><subject>Carbon</subject><subject>carbon lock-in</subject><subject>climate change mitigation</subject><subject>Climate policy</subject><subject>committed emissions</subject><subject>Decarbonization</subject><subject>Developed countries</subject><subject>Developing countries</subject><subject>Economics and Finance</subject><subject>Electric power generation</subject><subject>Emissions</subject><subject>Environmental policy</subject><subject>Environmental Sciences</subject><subject>evidence synthesis</subject><subject>Fossil fuels</subject><subject>Greenhouse gases</subject><subject>Humanities and Social Sciences</subject><subject>Indicators</subject><subject>Industrial plant emissions</subject><subject>LDCs</subject><subject>Learning algorithms</subject><subject>long-lived capital stock</subject><subject>Machine learning</subject><subject>Power plants</subject><subject>Retirement</subject><subject>Retrofitting</subject><subject>Stability analysis</subject><subject>stranded assets</subject><subject>systematic map</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>BENPR</sourceid><sourceid>PQCXX</sourceid><sourceid>DOA</sourceid><recordid>eNp9kc1v1DAQxSMEEqVw5xiJAxdCx1_j5FhVQCutBBJwtsYf6WbJxsHOVtr_Hi9BLT3AaWaefvPs0auq1wzeM2jbC6Zl23SC4wVZQoQn1dm99PSv_nn1IucdgJJKt2fVl6_HvIQ9LYOr9zTXsa-XbajHYQmJlkMKdZxqR8mWMkb3oxmmepj8wQVf22ORpttmHO7K5GgeFhpfVs96GnN49aeeV98_fvh2dd1sPn-6ubrcNE4hLo3o0cpWdoHb1nMd0AfNQTtGvZKWpIegQ4eMQgeSPErHifXBAhU9tCDOq5vV10famTkNe0pHE2kwv4WYbg2lctUYjOOKW8asQJRSaGuZFqp3HDUKoT0Wr3er15bGR1bXlxtTtLzNBngHIEHesYK_WfE5xZ-HkBezi4c0Fc5w1SIyDYD_pzhDYLwVhYKVcinmnEJ__z4DcwrWnJIzp-TMGmxZebuuDHF-8AxpNAyNMqBE-aiZff9w1yPyn8a_AMR2rsU</recordid><startdate>20210501</startdate><enddate>20210501</enddate><creator>Fisch-Romito, Vivien</creator><creator>Guivarch, Céline</creator><creator>Creutzig, Felix</creator><creator>Minx, Jan C</creator><creator>Callaghan, Max W</creator><general>IOP Publishing</general><general>Federal Reserve Bank of St. Louis</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>AEUYN</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>PTHSS</scope><scope>PYCSY</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FK</scope><scope>8FL</scope><scope>AAFGM</scope><scope>ABLUL</scope><scope>ABPUF</scope><scope>ABSSA</scope><scope>ACIOU</scope><scope>ADZZV</scope><scope>AGAJT</scope><scope>AGSBL</scope><scope>AJNOY</scope><scope>AQTIP</scope><scope>BEZIV</scope><scope>BOUDT</scope><scope>CBHQV</scope><scope>FRNLG</scope><scope>F~G</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQCXX</scope><scope>PRINS</scope><scope>Q9U</scope><scope>1XC</scope><scope>BXJBU</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2419-196X</orcidid><orcidid>https://orcid.org/0000-0002-5710-3348</orcidid><orcidid>https://orcid.org/0000-0001-8292-8758</orcidid><orcidid>https://orcid.org/0000-0002-9405-256X</orcidid><orcidid>https://orcid.org/0000-0002-2862-0178</orcidid></search><sort><creationdate>20210501</creationdate><title>Systematic map of the literature on carbon lock-in induced by long-lived capital</title><author>Fisch-Romito, Vivien ; 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Res. Lett</addtitle><date>2021-05-01</date><risdate>2021</risdate><volume>16</volume><issue>5</issue><spage>53004</spage><pages>53004-</pages><issn>1748-9326</issn><eissn>1748-9326</eissn><coden>ERLNAL</coden><abstract>Long-lived capital-stocks (LLCS) such as infrastructure and buildings have significant and long-lasting implications for greenhouse gas emissions. They contribute to carbon lock-in and may hinder a rapid decarbonization of energy systems. Here we provide a systematic map of the literature on carbon lock-in induced by LLCS. Based on a structured search of the Web of Science and Scopus, we identified 226 publications from 38 095 search results using a supervised machine learning approach. We show biases toward power generation and toward developed countries. We also identify 11 indicators used to quantify carbon lock-in. Quantifications of committed emissions (cumulative emissions that would occur over the remaining operational lifetime of an asset) or stranded assets (premature retirement/retrofitting or under-utilization of assets along a given pathway) are the most commonly used metrics, whereas institutional indicators are scarcely represented. The synthesis of quantifications shows that (i) global committed emissions have slightly increased over time, (ii) coal power plants are a major source of committed emissions and are exposed to risk of becoming stranded, (iii) delayed mitigation action increases stranded assets and (iv) sectoral distribution and amount of stranded assets differ between countries. A thematic analysis of policy implications highlights the need to assure stability and legitimacy of climate policies and to enable coordination between stakeholders. Carbon pricing is one of the most cited policy instrument, but the literature emphasizes that it should not be the only instrument used and should instead be complemented with other policy instruments, such as technical regulations and financial support for low carbon capital deployment. Further research is warranted on urban-scale, in developing countries and outside the electricity generation sector, notably on buildings, where stranded assets could be high.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1748-9326/aba660</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0002-2419-196X</orcidid><orcidid>https://orcid.org/0000-0002-5710-3348</orcidid><orcidid>https://orcid.org/0000-0001-8292-8758</orcidid><orcidid>https://orcid.org/0000-0002-9405-256X</orcidid><orcidid>https://orcid.org/0000-0002-2862-0178</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Buildings Carbon carbon lock-in climate change mitigation Climate policy committed emissions Decarbonization Developed countries Developing countries Economics and Finance Electric power generation Emissions Environmental policy Environmental Sciences evidence synthesis Fossil fuels Greenhouse gases Humanities and Social Sciences Indicators Industrial plant emissions LDCs Learning algorithms long-lived capital stock Machine learning Power plants Retirement Retrofitting Stability analysis stranded assets systematic map |
title | Systematic map of the literature on carbon lock-in induced by long-lived capital |
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