LAPSE:2023.26571
Published Article
LAPSE:2023.26571
Gini and Entropy-Based Spread Indexes for Primary Energy Consumption Efficiency and CO2 Emission
April 3, 2023
Primary energy consumption is one of the key drivers of global CO2 emissions that, in turn, heavily depends on the efficiency of involved technologies. Either improvement in technology efficiency or the expansion of non-fossil fuel consumption requires large investments. The planning and financing of such investments by global policy makers or global energy firms require, in turn, reliable measures of associated global spread and their evolution in time, at least from the point of view of the principles for responsible investment (PRI). In this paper, our main contribution is the introduction of index measures for accessing global spread (that is, measures of inequality or inhomogeneity in the statistical distribution of a related quantity of interest) of technology efficiency and CO2 emission in primary energy consumption. These indexes are based on the Gini index, as used in economical sciences, and generalized entropy measures. Regarding primary energy sources, we consider petroleum, coal, natural gas, and non-fossil fuels. Between our findings, we attest some stable relations in the evolution of global spreads of technology efficiency and CO2 emission and a positive relation between changes in global spread of technology efficiency and use of non-fossil fuel.
Keywords
carbon emissions, Coal, energy consumption, fossil fuels, generalized entropy index, Gini index, Natural Gas, non-fossil fuels, Petroleum, technology efficiency
Suggested Citation
Takada HH, Ribeiro CO, Costa OLV, Stern JM. Gini and Entropy-Based Spread Indexes for Primary Energy Consumption Efficiency and CO2 Emission. (2023). LAPSE:2023.26571
Author Affiliations
Takada HH: Polytechnic School, University of São Paulo, São Paulo 05508-010, Brazil; Santander Asset Management, São Paulo 04543-011, Brazil [ORCID]
Ribeiro CO: Polytechnic School, University of São Paulo, São Paulo 05508-010, Brazil [ORCID]
Costa OLV: Polytechnic School, University of São Paulo, São Paulo 05508-010, Brazil
Stern JM: Institute of Mathematics and Statistics, University of São Paulo, São Paulo 05508-090, Brazil [ORCID]
Journal Name
Energies
Volume
13
Issue
18
Article Number
E4938
Year
2020
Publication Date
2020-09-21
Published Version
ISSN
1996-1073
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PII: en13184938, Publication Type: Journal Article
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LAPSE:2023.26571
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doi:10.3390/en13184938
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