Alternative exploration of EKC for $$\hbox {CO}_{2}$$ CO 2 emissions: inclusion of meta-technical ratio in quantile regression model

Alternative exploration of EKC for $$\hbox {CO}_{2}$$ CO 2 emissions: inclusion of... This study develops an innovated model of quantile regression model to portray a delicate relationship between per capita income and $$\hbox {CO}_{2}$$ CO 2 emission. The inclusion of the indicator of meta-technical ratio, generated from the directional distance function, not only transforms the underlying unobservable technology heterogeneity cross different individual unit and time span but also captures the marginal impacts of technology heterogeneity on specific percentiles of the conditional distribution for panel-type of data. This proposed model is applied to investigate the environmental Kuznets curve (EKC) for 104 countries worldwide during years 1990–2005. The results show that income elasticities of $$\hbox {CO}_{2}$$ CO 2 emission computed from the developed quantile regression estimation results for upper-middle, low-middle, and low income countries are positive in all quantiles. The inversed-U shaped EKC between annual $$\hbox {CO}_{2}$$ CO 2 emission per capita and annual GDP per capita exist for high percentiles of high income countries. The time effect and country effect elasticities of $$\hbox {CO}_{2}$$ CO 2 emission are positive in most quantiles. The negative values of $$\hbox {income-CO}_{2}$$ income-CO 2 elasticities reveal that the inversed-U shape EKC relationships exist for countries, such as Germany, United Kindgom, and Japan. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Alternative exploration of EKC for $$\hbox {CO}_{2}$$ CO 2 emissions: inclusion of meta-technical ratio in quantile regression model

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Publisher
Springer Netherlands
Copyright
Copyright © 2013 by Springer Science+Business Media Dordrecht
Subject
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-013-9974-6
Publisher site
See Article on Publisher Site

Abstract

This study develops an innovated model of quantile regression model to portray a delicate relationship between per capita income and $$\hbox {CO}_{2}$$ CO 2 emission. The inclusion of the indicator of meta-technical ratio, generated from the directional distance function, not only transforms the underlying unobservable technology heterogeneity cross different individual unit and time span but also captures the marginal impacts of technology heterogeneity on specific percentiles of the conditional distribution for panel-type of data. This proposed model is applied to investigate the environmental Kuznets curve (EKC) for 104 countries worldwide during years 1990–2005. The results show that income elasticities of $$\hbox {CO}_{2}$$ CO 2 emission computed from the developed quantile regression estimation results for upper-middle, low-middle, and low income countries are positive in all quantiles. The inversed-U shaped EKC between annual $$\hbox {CO}_{2}$$ CO 2 emission per capita and annual GDP per capita exist for high percentiles of high income countries. The time effect and country effect elasticities of $$\hbox {CO}_{2}$$ CO 2 emission are positive in most quantiles. The negative values of $$\hbox {income-CO}_{2}$$ income-CO 2 elasticities reveal that the inversed-U shape EKC relationships exist for countries, such as Germany, United Kindgom, and Japan.

Journal

Quality & QuantitySpringer Journals

Published: Dec 10, 2013

References

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