Comparison of Power Plants Efficiency among 73 Countries
Effective and efficient production of electricity is promised to be one of the critical factors to utilize energy for sustainable development. We employ data envelopment analysis (DEA), including undesirable CO2 emissions outputs, to evaluate power plants resource utilization efficiency within 73 co...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2013-01-01
|
Series: | Journal of Energy |
Online Access: | http://dx.doi.org/10.1155/2013/916413 |
id |
doaj-a2b61b6ea7494070828e063c4a4fe5c9 |
---|---|
record_format |
Article |
spelling |
doaj-a2b61b6ea7494070828e063c4a4fe5c92020-11-24T23:21:58ZengHindawi LimitedJournal of Energy2314-615X2013-01-01201310.1155/2013/916413916413Comparison of Power Plants Efficiency among 73 CountriesTser-Yieth Chen0Tsai-Lien Yeh1Yi-Ting Lee2Graduate Institute of International Business, National Taipei University, No. 151 University Road, Sanhsia District, New Taipei City 23745, TaiwanDepartment of International Business, Ming Chuan University, Section 5, No. 250, Zhong Shan North Road, Taipei 11150, TaiwanGraduate Institute of International Business, National Taipei University, No. 151 University Road, Sanhsia District, New Taipei City 23745, TaiwanEffective and efficient production of electricity is promised to be one of the critical factors to utilize energy for sustainable development. We employ data envelopment analysis (DEA), including undesirable CO2 emissions outputs, to evaluate power plants resource utilization efficiency within 73 countries in order to incorporate the global warming effect. We find that Asia enjoys the highest technical efficiency and European countries suffer from the lowest technical efficiency among Europe, Asia, and America continents. Besides, we compare models with and without CO2 emissions and find that they have significant differences among technical and pure technical efficiencies. We also set up three hypotheses to examine gross national product (GNP), urbanization, and electricity import level factors that potentially influence power plants efficiency by Tobit regression analysis. Results show that GNP and urbanization have significant effects on power plants efficiency except electricity import level.http://dx.doi.org/10.1155/2013/916413 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tser-Yieth Chen Tsai-Lien Yeh Yi-Ting Lee |
spellingShingle |
Tser-Yieth Chen Tsai-Lien Yeh Yi-Ting Lee Comparison of Power Plants Efficiency among 73 Countries Journal of Energy |
author_facet |
Tser-Yieth Chen Tsai-Lien Yeh Yi-Ting Lee |
author_sort |
Tser-Yieth Chen |
title |
Comparison of Power Plants Efficiency among 73 Countries |
title_short |
Comparison of Power Plants Efficiency among 73 Countries |
title_full |
Comparison of Power Plants Efficiency among 73 Countries |
title_fullStr |
Comparison of Power Plants Efficiency among 73 Countries |
title_full_unstemmed |
Comparison of Power Plants Efficiency among 73 Countries |
title_sort |
comparison of power plants efficiency among 73 countries |
publisher |
Hindawi Limited |
series |
Journal of Energy |
issn |
2314-615X |
publishDate |
2013-01-01 |
description |
Effective and efficient production of electricity is promised to be one of the critical factors to utilize energy for sustainable development. We employ data envelopment analysis (DEA), including undesirable CO2 emissions outputs, to evaluate power plants resource utilization efficiency within 73 countries in order to incorporate the global warming effect. We find that Asia enjoys the highest technical efficiency and European countries suffer from the lowest technical efficiency among Europe, Asia, and America continents. Besides, we compare models with and without CO2 emissions and find that they have significant differences among technical and pure technical efficiencies. We also set up three hypotheses to examine gross national product (GNP), urbanization, and electricity import level factors that potentially influence power plants efficiency by Tobit regression analysis. Results show that GNP and urbanization have significant effects on power plants efficiency except electricity import level. |
url |
http://dx.doi.org/10.1155/2013/916413 |
work_keys_str_mv |
AT tseryiethchen comparisonofpowerplantsefficiencyamong73countries AT tsailienyeh comparisonofpowerplantsefficiencyamong73countries AT yitinglee comparisonofpowerplantsefficiencyamong73countries |
_version_ |
1725569107192971264 |