Sectoral decomposition of CO2 world emissions : A joint quantile regression approach
Year of publication: |
2020
|
---|---|
Authors: | Merlo, Luca ; Petrella, Lea ; Raponi, Valentina |
Published in: |
International review of environmental and resource economics. - Hanover, Mass. [u.a.] : Now Publ., ISSN 1932-1465, ZDB-ID 2365662-1. - Vol. 14.2020, 2/3, p. 197-239
|
Subject: | CO2 emissions | joint quantile regression | sectoral disaggregation | multivariate CO2 distribution | multivariate STIRPAT model | Treibhausgas-Emissionen | Greenhouse gas emissions | Regressionsanalyse | Regression analysis | Luftverschmutzung | Air pollution | Welt | World | Schätzung | Estimation | Dekompositionsverfahren | Decomposition method | Emissionshandel | Emissions trading | Ökosteuer | Environmental tax | Multivariate Analyse | Multivariate analysis |
-
The decomposition and policy meaning of China' carbon emission intensity
Jiang, Jinhe, (2017)
-
Regional economic effects of differentiated climate action, carbon leakage, and anti-leakage measure
Kąsek, Leszek, (2013)
-
Effectiveness of environmental policies on carbon emissions : a panel threshold analysis
Akbulut, Hale, (2022)
- More ...
-
Merlo, Luca, (2021)
-
Inter-order relations between equivalence for Lp-quantiles of the Student's t distribution
Bignozzi, Valeria, (2024)
-
Selection of value at risk models for energy commodities
Laporta, Alessandro G., (2018)
- More ...