Econometric Modelling of Carbon Dioxide Emissions and Concentrations, Ambient Temperatures and Ocean Deoxygenation

Abstract This paper analysed several longitudinal data sets for investigating the dynamic inter-relationships between CO2 emissions and atmospheric concentrations, ambient temperatures and ocean acidification and deoxygenation. The methodological framework addressed issues such as the use of tempera...

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Published in:Journal of the Royal Statistical Society Series A: Statistics in Society
Main Author: Bhargava, Alok
Format: Article in Journal/Newspaper
Language:English
Published: Oxford University Press (OUP) 2021
Subjects:
Online Access:http://dx.doi.org/10.1111/rssa.12732
https://onlinelibrary.wiley.com/doi/pdf/10.1111/rssa.12732
https://onlinelibrary.wiley.com/doi/full-xml/10.1111/rssa.12732
https://academic.oup.com/jrsssa/article-pdf/185/1/178/49411946/jrsssa_185_1_178.pdf
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spelling croxfordunivpr:10.1111/rssa.12732 2024-03-03T08:47:38+00:00 Econometric Modelling of Carbon Dioxide Emissions and Concentrations, Ambient Temperatures and Ocean Deoxygenation Bhargava, Alok 2021 http://dx.doi.org/10.1111/rssa.12732 https://onlinelibrary.wiley.com/doi/pdf/10.1111/rssa.12732 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/rssa.12732 https://academic.oup.com/jrsssa/article-pdf/185/1/178/49411946/jrsssa_185_1_178.pdf en eng Oxford University Press (OUP) https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model Journal of the Royal Statistical Society Series A: Statistics in Society volume 185, issue 1, page 178-201 ISSN 0964-1998 1467-985X Statistics, Probability and Uncertainty Economics and Econometrics Social Sciences (miscellaneous) Statistics and Probability journal-article 2021 croxfordunivpr https://doi.org/10.1111/rssa.12732 2024-02-05T10:34:20Z Abstract This paper analysed several longitudinal data sets for investigating the dynamic inter-relationships between CO2 emissions and atmospheric concentrations, ambient temperatures and ocean acidification and deoxygenation. The methodological framework addressed issues such as the use of temperature ‘anomalies’, diffusion of CO2 to atmospheric stations, distributional misspecification and non-stationarity of errors affecting empirical models, and use of spline functions for modelling trends in temperatures. Longitudinal data on CO2 emissions for 163 countries and atmospheric CO2 concentrations at 10 stations, ambient temperatures from over 8,500 weather stations and seawater composition from over 380,000 oceanographic stations were analysed for 1985–2018 by estimating dynamic random effects models using maximum likelihood methods. The main findings were that CO2 emissions exhibited rapid upward trends at the country level, while minimum and maximum temperatures showed cyclical patterns; economic activity and population levels were associated with higher CO2 emissions. Second, there were gradual upward trends in annual and seasonal temperatures compiled at weather stations, and atmospheric CO2 concentrations were significantly associated with higher temperatures in the hemispheres. Third, there was a steady decline in dissolved oxygen levels, and the interactive effects of water temperatures and pH levels were significant. Overall, the results underscore the benefits of reducing CO2 emissions for ambient temperatures and for ocean deoxygenation. Synergies between CO2 emissions, ambient temperatures and ocean acidification are likely to exacerbate the melting of polar ice. Article in Journal/Newspaper Ocean acidification Oxford University Press Journal of the Royal Statistical Society Series A: Statistics in Society 185 1 178 201
institution Open Polar
collection Oxford University Press
op_collection_id croxfordunivpr
language English
topic Statistics, Probability and Uncertainty
Economics and Econometrics
Social Sciences (miscellaneous)
Statistics and Probability
spellingShingle Statistics, Probability and Uncertainty
Economics and Econometrics
Social Sciences (miscellaneous)
Statistics and Probability
Bhargava, Alok
Econometric Modelling of Carbon Dioxide Emissions and Concentrations, Ambient Temperatures and Ocean Deoxygenation
topic_facet Statistics, Probability and Uncertainty
Economics and Econometrics
Social Sciences (miscellaneous)
Statistics and Probability
description Abstract This paper analysed several longitudinal data sets for investigating the dynamic inter-relationships between CO2 emissions and atmospheric concentrations, ambient temperatures and ocean acidification and deoxygenation. The methodological framework addressed issues such as the use of temperature ‘anomalies’, diffusion of CO2 to atmospheric stations, distributional misspecification and non-stationarity of errors affecting empirical models, and use of spline functions for modelling trends in temperatures. Longitudinal data on CO2 emissions for 163 countries and atmospheric CO2 concentrations at 10 stations, ambient temperatures from over 8,500 weather stations and seawater composition from over 380,000 oceanographic stations were analysed for 1985–2018 by estimating dynamic random effects models using maximum likelihood methods. The main findings were that CO2 emissions exhibited rapid upward trends at the country level, while minimum and maximum temperatures showed cyclical patterns; economic activity and population levels were associated with higher CO2 emissions. Second, there were gradual upward trends in annual and seasonal temperatures compiled at weather stations, and atmospheric CO2 concentrations were significantly associated with higher temperatures in the hemispheres. Third, there was a steady decline in dissolved oxygen levels, and the interactive effects of water temperatures and pH levels were significant. Overall, the results underscore the benefits of reducing CO2 emissions for ambient temperatures and for ocean deoxygenation. Synergies between CO2 emissions, ambient temperatures and ocean acidification are likely to exacerbate the melting of polar ice.
format Article in Journal/Newspaper
author Bhargava, Alok
author_facet Bhargava, Alok
author_sort Bhargava, Alok
title Econometric Modelling of Carbon Dioxide Emissions and Concentrations, Ambient Temperatures and Ocean Deoxygenation
title_short Econometric Modelling of Carbon Dioxide Emissions and Concentrations, Ambient Temperatures and Ocean Deoxygenation
title_full Econometric Modelling of Carbon Dioxide Emissions and Concentrations, Ambient Temperatures and Ocean Deoxygenation
title_fullStr Econometric Modelling of Carbon Dioxide Emissions and Concentrations, Ambient Temperatures and Ocean Deoxygenation
title_full_unstemmed Econometric Modelling of Carbon Dioxide Emissions and Concentrations, Ambient Temperatures and Ocean Deoxygenation
title_sort econometric modelling of carbon dioxide emissions and concentrations, ambient temperatures and ocean deoxygenation
publisher Oxford University Press (OUP)
publishDate 2021
url http://dx.doi.org/10.1111/rssa.12732
https://onlinelibrary.wiley.com/doi/pdf/10.1111/rssa.12732
https://onlinelibrary.wiley.com/doi/full-xml/10.1111/rssa.12732
https://academic.oup.com/jrsssa/article-pdf/185/1/178/49411946/jrsssa_185_1_178.pdf
genre Ocean acidification
genre_facet Ocean acidification
op_source Journal of the Royal Statistical Society Series A: Statistics in Society
volume 185, issue 1, page 178-201
ISSN 0964-1998 1467-985X
op_rights https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model
op_doi https://doi.org/10.1111/rssa.12732
container_title Journal of the Royal Statistical Society Series A: Statistics in Society
container_volume 185
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container_start_page 178
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