Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic developement relation for advanced countries - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Studies in Nonlinear Dynamics and Econometrics Année : 2014

Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic developement relation for advanced countries

Résumé

We study long run carbon dioxide emissions-economic development relationships for advanced countries grouped in policy relevant groups: North America and Oceania, South Europe, North Europe. By relying on recent advances on Generalized Additive Mixed Models (GAMMs) and adopting interaction models, we handle simultaneously three main econometric issues, named here as functional form bias, heterogeneity bias and omitted time related factors bias, which have been proved to be relevant but have been addressed separately in previous papers. The model incorporates nonlinear effects, eventually heterogeneous across countries, for both income and time. We also handle serial correlation by using autoregressive moving average (ARMA) processes. We find that country-specific time related factors weight more than income in driving the northern EU Environmental Kuznets. Overall, the countries differ more on their carbon-time relation than on the carbon-income relation which is in almost all cases monotonic positive. Once serial correlation and (heterogeneous) time effects have been accounted for, only three Scandinavian countries – Denmark, Finland and Sweden – present some threshold effect on the CO2-development relation.

Dates et versions

hal-01123027 , version 1 (04-03-2015)

Identifiants

Citer

Antonio Musolesi, Massimiliano Mazzanti. Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic developement relation for advanced countries. Studies in Nonlinear Dynamics and Econometrics, 2014, 18 (5), pp.521-541. ⟨10.1515/snde-2012-0082⟩. ⟨hal-01123027⟩
72 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More