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Article: Embedding nature-based solutions into the social cost of carbon
Title | Embedding nature-based solutions into the social cost of carbon |
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Authors | |
Keywords | China Climate change mitigation DICE Integrated assessment model Nature-based Solutions Social cost of carbon |
Issue Date | 1-Sep-2022 |
Publisher | Elsevier |
Citation | Environment International, 2022, v. 167 How to Cite? |
Abstract | China, the world's largest CO2 emitter, is making every effort to transition to a low-carbon economy and fulfill its part of a concerted global commitment to combating climate change. In tandem with decarbonizing energy and industries, feasible supplementary measures are urgently needed to help remove anthropogenic CO2 from the atmosphere. A burgeoning literature has emphasized the CO2 removal capability of land re-naturalization (such as afforestation and wetland restoration), thereby regarding cognate land-use conversions as Nature-based Solutions (NbS) and potential climate policy options. However, little empirical evidence exists concerning the effectiveness of different land re-naturalization pathways (such as converting wetlands to forests or agricultural lands to grasslands), and it also remains unclear how NbS alternatives (i.e., land-use conversions resulting in negative CO2 emission) and non-NbS options (i.e., land-use conversions resulting in positive CO2 emission) could affect the social cost of carbon (SCC), a conventional measurement for prescribing carbon mitigation approaches. This study aims to fill in this knowledge gap via embedding NbS into the dynamic integrated climate-economics (DICE) model to quantify their impacts on the SCC. Using the Pearl River Delta region (south China) as a case study for the temporal horizon during 2000–2020, we find that both positive and negative CO2 fluxes have been brought by different natural/semi-natural land conversions, affecting the SCC correspondingly. A total of 7 out of 17 types of land-use conversions could be identified as feasible NbS interventions, including forest restoration, forest-to-wetland, grassland-to-forest, grassland-to-wetland, grassland-to-cropland, cropland-to-forest, and cropland-to-wetland conversions, which could reduce the SCC values (comparing 2020 base-year with 2000 base-year) by 0.0132, 0.0009, 0.0033, 0.0030, 0.0001, 0.0082, and 0.0001 (USD/tCO2), respectively. While the SCC is mainly determined by energy and industrial structure, the overall effect of NbS is larger than the sum of land urbanization and non-NbS land-use conversions. Via embedding the real-world inter-dynamics of land-use conversions into the SCC quantification, this study presents a pioneer assessment of the impacts of NbS on the SCC in an integrated framework, sheds important insights into the effectiveness of NbS, and offers practical implications for policy-makers to devise comprehensive policies covering all feasible CO2 abatement options. |
Persistent Identifier | http://hdl.handle.net/10722/340553 |
ISSN | 2021 Impact Factor: 13.352 2020 SCImago Journal Rankings: 2.582 |
DC Field | Value | Language |
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dc.contributor.author | Han, W | - |
dc.contributor.author | Chen, WY | - |
dc.date.accessioned | 2024-03-11T10:45:28Z | - |
dc.date.available | 2024-03-11T10:45:28Z | - |
dc.date.issued | 2022-09-01 | - |
dc.identifier.citation | Environment International, 2022, v. 167 | - |
dc.identifier.issn | 0160-4120 | - |
dc.identifier.uri | http://hdl.handle.net/10722/340553 | - |
dc.description.abstract | <p>China, the world's largest CO2 emitter, is making every effort to transition to a low-carbon economy and fulfill its part of a concerted global commitment to combating climate change. In tandem with decarbonizing energy and industries, feasible supplementary measures are urgently needed to help remove anthropogenic CO2 from the atmosphere. A burgeoning literature has emphasized the CO2 removal capability of land re-naturalization (such as afforestation and wetland restoration), thereby regarding cognate land-use conversions as Nature-based Solutions (NbS) and potential climate policy options. However, little empirical evidence exists concerning the effectiveness of different land re-naturalization pathways (such as converting wetlands to forests or agricultural lands to grasslands), and it also remains unclear how NbS alternatives (i.e., land-use conversions resulting in negative CO2 emission) and non-NbS options (i.e., land-use conversions resulting in positive CO2 emission) could affect the social cost of carbon (SCC), a conventional measurement for prescribing carbon mitigation approaches. This study aims to fill in this knowledge gap via embedding NbS into the dynamic integrated climate-economics (DICE) model to quantify their impacts on the SCC. Using the Pearl River Delta region (south China) as a case study for the temporal horizon during 2000–2020, we find that both positive and negative CO2 fluxes have been brought by different natural/semi-natural land conversions, affecting the SCC correspondingly. A total of 7 out of 17 types of land-use conversions could be identified as feasible NbS interventions, including forest restoration, forest-to-wetland, grassland-to-forest, grassland-to-wetland, grassland-to-cropland, cropland-to-forest, and cropland-to-wetland conversions, which could reduce the SCC values (comparing 2020 base-year with 2000 base-year) by 0.0132, 0.0009, 0.0033, 0.0030, 0.0001, 0.0082, and 0.0001 (USD/tCO2), respectively. While the SCC is mainly determined by energy and industrial structure, the overall effect of NbS is larger than the sum of land urbanization and non-NbS land-use conversions. Via embedding the real-world inter-dynamics of land-use conversions into the SCC quantification, this study presents a pioneer assessment of the impacts of NbS on the SCC in an integrated framework, sheds important insights into the effectiveness of NbS, and offers practical implications for policy-makers to devise comprehensive policies covering all feasible CO2 abatement options.</p> | - |
dc.language | eng | - |
dc.publisher | Elsevier | - |
dc.relation.ispartof | Environment International | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | China | - |
dc.subject | Climate change mitigation | - |
dc.subject | DICE | - |
dc.subject | Integrated assessment model | - |
dc.subject | Nature-based Solutions | - |
dc.subject | Social cost of carbon | - |
dc.title | Embedding nature-based solutions into the social cost of carbon | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.envint.2022.107431 | - |
dc.identifier.scopus | eid_2-s2.0-85135284103 | - |
dc.identifier.volume | 167 | - |
dc.identifier.issnl | 0160-4120 | - |