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Acidification in the Earth’s Oceans: Trends and Persistence

Author

Listed:
  • Guglielmo Maria Caporale
  • Luis Alberiko Gil-Alana
  • Nieves Carmona-González
  • Maria Fatima Romero-Rojo

Abstract

This paper applies fractional integration methods to obtain evidence on ocean acidification, namely the decrease in the pH level in the Earth’s oceans, using the annual Hawaii Ocean Time-series Station ALOHA series as well as the logged one for the period 1985-2024. The chosen modelling framework is more general than standard ones based on the I(0) versus I(1) dichotomy and sheds light on the long memory and persistence properties, as well as on the possible presence of trends, in the pH Level in the Earth’s oceans. The results indicate that the series exhibit a negative and significant time trend; however, whether or not the null hypothesis of a unit root is rejected depends on the assumption made about the errors. The key finding (when the errors are not incorrectly specified as I(0) processes) is the presence of long memory, which implies that the effects of shocks are long-lived, regardless of whether or not mean reversion occurs. Moreover, the recursive analysis indicates that both the degree of persistence and the downward trend in the pH level have increased over time. This evidence points to the urgent need for decisive policies to address the issue of ocean acidification and protect marine life and biodiversity.

Suggested Citation

  • Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Nieves Carmona-González & Maria Fatima Romero-Rojo, 2025. "Acidification in the Earth’s Oceans: Trends and Persistence," CESifo Working Paper Series 12281, CESifo.
  • Handle: RePEc:ces:ceswps:_12281
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    References listed on IDEAS

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    1. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Nieves Carmona-González, 2024. "Polar Amplification: A Fractional Integration Analysis," CESifo Working Paper Series 11073, CESifo.
    2. José M. Belbute & Alfredo M. Pereira, 2022. "ARFIMA Reference Forecasts for Worldwide CO2 Emissions and the National Dimension of the Policy Efforts to Meet IPCC Targets," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 47(1), pages 1-27.
    3. Malte Meinshausen & S. Smith & K. Calvin & J. Daniel & M. Kainuma & J-F. Lamarque & K. Matsumoto & S. Montzka & S. Raper & K. Riahi & A. Thomson & G. Velders & D.P. Vuuren, 2011. "The RCP greenhouse gas concentrations and their extensions from 1765 to 2300," Climatic Change, Springer, vol. 109(1), pages 213-241, November.
    4. James C. Orr & Victoria J. Fabry & Olivier Aumont & Laurent Bopp & Scott C. Doney & Richard A. Feely & Anand Gnanadesikan & Nicolas Gruber & Akio Ishida & Fortunat Joos & Robert M. Key & Keith Lindsay, 2005. "Anthropogenic ocean acidification over the twenty-first century and its impact on calcifying organisms," Nature, Nature, vol. 437(7059), pages 681-686, September.
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    Keywords

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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