Global Temperature and Carbon Dioxide Nexus: Evidence from a Maximum Entropy Approach

Pedro Macedo and Mara Madaleno ()
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Pedro Macedo: CIDMA—Center for Research and Development in Mathematics and Applications, Department of Mathematics, University of Aveiro, 3810-193 Aveiro, Portugal
Mara Madaleno: Research Unit on Governance, Competitiveness and Public Policies (GOVCOPP), Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal

Energies, 2022, vol. 16, issue 1, 1-13

Abstract: The connection between Earth’s global temperature and carbon dioxide (CO 2 ) emissions is one of the highest challenges in climate change science since there is some controversy about the real impact of CO 2 emissions on the increase of global temperature. This work contributes to the existing literature by analyzing the relationship between CO 2 emissions and the Earth’s global temperature for 61 years, providing a recent review of the emerging literature as well. Through a statistical approach based on maximum entropy, this study supports the results of other techniques that identify a positive impact of CO 2 in the increase of the Earth’s global temperature. Given the well-known difficulties in the measurement of global temperature and CO 2 emissions with high precision, this statistical approach is particularly appealing around climate change science, as it allows the replication of the original time series with the subsequent construction of confidence intervals for the model parameters. To prevent future risks, besides the present urgent decrease of greenhouse gas emissions, it is necessary to stop using the planet and nature as if resources were infinite.

Keywords: global temperature; carbon dioxide (CO 2 ) emissions; maximum entropy; climate change (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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