Environment Kuznets curve for CO2 emissions: a cointegration analysis for China
Mahmud, S. F.
5167 - 5172
Item Usage Stats
This study examines the long-run relationship between carbon emissions and energy consumption, income and foreign trade in the case of China by employing time series data of 1975-2005. In particular the study aims at testing whether environmental Kuznets curve (EKC) relationship between CO2 emissions and per capita real GDP holds in the long run or not. Auto regressive distributed lag (ARDL) methodology is employed for empirical analysis. A quadratic relationship between income and CO2 emission has been found for the sample period, supporting EKC relationship. The results of Granger causality tests indicate one way causality runs through economic growth to CO2 emissions. The results of this study also indicate that the carbon emissions are mainly determined by income and energy consumption in the long run. Trade has a positive but statistically insignificant impact on CO2 emissions. © 2009 Elsevier Ltd. All rights reserved.
Environment Kuznets curve
Granger causality test
Granger causality test
Time series analysis
Published Version (Please cite this version)http://dx.doi.org/10.1016/j.enpol.2009.07.044
Showing items related by title, author, creator and subject.
Accumulation trends of metals and a metalloid in the freshwater crayfish Astacus leptodactylus from Lake Yeniçağa (Turkey) Tunca, E.; Üçüncü, E.; Kurtuluş, B.; Ozkan, A.D.; Atasagun, S. (2013)This study aims to determine the extent of metal pollution in Lake Yeniçaǧa (Bolu, Turkey) by investigating the accumulation trends of five metals (Al, Cu, Fe, Ni and Zn) and a metalloid (As) in gills, exoskeleton, ...
Yildirim, J.; Öcal, N.; Özyildirim, S. (Sage Publications, 2009)Even though the convergence of regional per capita income has been a highly debated issue internationally, empirical evidence regarding Turkey is limited as well as contradictory. This article is an attempt to investigate ...
Tosun, Akif Burak; Sokmensuer, C.; Gündüz-Demir, Çiğdem (IEEE, 2010)This paper presents a new algorithm for the unsupervised segmentation of tissue images. It relies on using the spatial information of cytological tissue components. As opposed to the previous study, it does not only use ...