TY  - SER
AU  - Passapong Saneaphunt
AU  - Marpaung,Charles O.P.
AU  - Singh,Jai Govind
AU  - Weerakorn Ongsakul,
ED  - PEA, 
ED  - Asian Institute of Technology Education Cooperation Project,
ED  - Royal Thai Government Fellowship,
TI  - An empirical analysis on CO2 emissions from the electricity sector and income based on the environmental Kuznets Curve
T2  - Thesis
PY  - 2012///
CY  - Pathum Thani, Thailand
PB  - Asian Institute of Technology
KW  - Carbon dioxide
KW  - Environmental aspects
KW  - Electric consumption
KW  - Environmental degradation
N1  - A thesis  submitted in partial fulfillment of the requirements for the degree of Master of Science in  Energy; Thesis (M.Sc.) - Asian Institute of Technology, 2012
N2  - This  study  examines  the  long-run and  short-run relationship  between  CO2emissions  and income in case of Thailand by employing time series data of 1986{u2013}2010. In  particular  the  study  aims  at  testing  whether  Environmental  Kuznets Curve  (EKC) relationship between CO2 emissions and GDP per capita holds in the long-run or not, and to estimate the turning point of relationship. The econometrics results show that there is no unit  root among variables,  and  both  dependent  variable  and  independent  variable  are cointegrated. A cubic relationship between GDP per capita from electricity sector and CO2 emission has been found for the sample period both in long-run and short-run for electricity sector data analysis, whereas a quadratic relationship between GDP per capita and CO2 emissions has been found for the sample period both in long-run and short-run for national data analysis, supporting EKC relationship. Moreover, the results of this study also indicate that the GDP per capita from electricity sector is in the decreasing portion of N-shaped for the electricity sector data analysis and GDP per capita is also in decreasing portion of inverted U-shaped for national data analysis
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B02268
ER  -