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Econometrics Journal· 2026Q1

The Global Carbon Budget as a cointegrated system

Mikkel Bennedsen, Eric T. Hillebrand, Morten Ørregaard Nielsen

Short summary

Anthropogenic CO2 emissions are the sole driver of long-term changes in the global carbon cycle, according to a statistical analysis of four key time series.

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Key points

  • Four key global carbon cycle time series (atmospheric CO2, emissions, land uptake, ocean uptake) are cointegrated with rank three.
  • Anthropogenic CO2 emissions are the single stochastic trend driving the system's long-term dynamics.
  • Physical relationships between sinks, atmospheric concentrations, and emissions are statistically validated.
  • A restricted error-correction model embodying these physical relations is not rejected by the data.

AI-generated from the title and abstract; the full text is not read.

Abstract

Abstract The Global Carbon Budget, maintained by the Global Carbon Project, summarizes Earth’s global carbon cycle through four annual time series beginning in 1959: atmospheric CO2 concentrations, anthropogenic CO2 emissions, and CO2 uptake by land and by ocean. We analyze these four time series as a multivariate (cointegrated) system. Statistical tests show that the four time series are cointegrated with rank three and identify anthropogenic CO2 emissions as the single stochastic trend driving the nonstationary dynamics of the system. The three cointegrated relations correspond to the physical relations that the sinks are linearly related to atmospheric concentrations and that the change in concentrations equals emissions minus the combined uptake by land and ocean. Furthermore, likelihood ratio tests show that a parametrically restricted error-correction model that embodies these physical relations cannot be rejected on the data. The model can be used for both in-sample and out-of-sample analysis. In an application of the latter, we demonstrate that projections based on this model, using Shared Socioeconomic Pathways scenarios, yield results consistent with established climate science.

The authors' abstract, as published at the source. Econometrics Journal, 2026 · DOI ↗

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Field: Renewable Energy, Sustainability and the Environment

Renewable Energy, Sustainability and the EnvironmentEnergy