TY - JOUR
T1 - Efficiency assessment of coal energy and non-coal energy under bound dynamic DDF DEA
AU - Li, Ying
AU - Lin, Tai Yu
AU - Chiu, Yung ho
AU - Cen, Hongyi
AU - Lin, Yi Nuo
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.
PY - 2021/4
Y1 - 2021/4
N2 - The demand for energy has continued to increase because of global economic development, which has led to rising fuel prices and continued pollution problems. China is currently the largest coal consumer and is also the largest emitter of coal-fired CO2 emissions. However, past efficiency studies have been mostly limited to static analyses and have not considered undesirable outputs. Therefore, this study developed a bound dynamic directional distance function (DDF) data envelopment analysis (DEA) model to explore the energy and environmental efficiencies in 30 Chinese provinces from 2011 to 2015, from which it was found that (1) the overall efficiency was the best in the eastern region, but relatively low in the western region; (2) Beijing, Guangdong, Jiangsu, Shandong, Shanghai, Tianjin, Jiangxi, Jilin, and some other regions had efficiencies of 1; (3) the revenue and non-coal indicator efficiencies were reasonably good, but the expenditure and emissions efficiencies were generally poor; and (4) the key direction for primary improvements was found to be the emissions index.
AB - The demand for energy has continued to increase because of global economic development, which has led to rising fuel prices and continued pollution problems. China is currently the largest coal consumer and is also the largest emitter of coal-fired CO2 emissions. However, past efficiency studies have been mostly limited to static analyses and have not considered undesirable outputs. Therefore, this study developed a bound dynamic directional distance function (DDF) data envelopment analysis (DEA) model to explore the energy and environmental efficiencies in 30 Chinese provinces from 2011 to 2015, from which it was found that (1) the overall efficiency was the best in the eastern region, but relatively low in the western region; (2) Beijing, Guangdong, Jiangsu, Shandong, Shanghai, Tianjin, Jiangxi, Jilin, and some other regions had efficiencies of 1; (3) the revenue and non-coal indicator efficiencies were reasonably good, but the expenditure and emissions efficiencies were generally poor; and (4) the key direction for primary improvements was found to be the emissions index.
UR - http://www.scopus.com/inward/record.url?scp=85099066516&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85099066516&partnerID=8YFLogxK
U2 - 10.1007/s11356-020-12037-8
DO - 10.1007/s11356-020-12037-8
M3 - Article
C2 - 33410003
AN - SCOPUS:85099066516
SN - 0944-1344
VL - 28
SP - 20093
EP - 20110
JO - Environmental Science and Pollution Research
JF - Environmental Science and Pollution Research
IS - 16
ER -