TY - JOUR
T1 - The Development of Environmental Productivity: the Case of Danish Energy Plants
AU - Henningsen, Geraldine
AU - Henningsen, Arne
AU - Schröder, Sascha Thorsten
AU - Bolwig, Simon
PY - 2015
Y1 - 2015
N2 - The Danish "Klima 2020" plan sets an ambitious target for the
complete phasing-out of fossil fuels by 2050. The Danish energy sector currently accounts for 40% of
national CO2 emissions.Based on an extended Farrell input distance function that accounts for CO2 as an undesirableoutput, we estimate the environmental productivity of individual generator
units based on a paneldata set for the period 1998 to 2011 that includes virtually all fuel-fired
generator units in Denmark. We further decompose total environmental energy conversion
productivity into conversion efficiency, best conversion practice ratio, and conversion scale
efficiency and use a global Malmquist index to calculate the yearly changes. By applying time
series clustering, we can identify high, middle, and low performance groups of generator units in
a dynamic setting. Our results indicate that the sectoral productivity only slightly increased
over the fourteen years. Furthermore, we find that there is no overall high achiever group, but that
the ranking, although time consistent, varies between the different productivity measures.
However, we identify steam turbines and combustion engines for combined heat and power production as
potential high performers, while combustion engines that only produce electricity are
clearly low performers.
AB - The Danish "Klima 2020" plan sets an ambitious target for the
complete phasing-out of fossil fuels by 2050. The Danish energy sector currently accounts for 40% of
national CO2 emissions.Based on an extended Farrell input distance function that accounts for CO2 as an undesirableoutput, we estimate the environmental productivity of individual generator
units based on a paneldata set for the period 1998 to 2011 that includes virtually all fuel-fired
generator units in Denmark. We further decompose total environmental energy conversion
productivity into conversion efficiency, best conversion practice ratio, and conversion scale
efficiency and use a global Malmquist index to calculate the yearly changes. By applying time
series clustering, we can identify high, middle, and low performance groups of generator units in
a dynamic setting. Our results indicate that the sectoral productivity only slightly increased
over the fourteen years. Furthermore, we find that there is no overall high achiever group, but that
the ranking, although time consistent, varies between the different productivity measures.
However, we identify steam turbines and combustion engines for combined heat and power production as
potential high performers, while combustion engines that only produce electricity are
clearly low performers.
U2 - 10.5278/ijsepm.2015.7.7
DO - 10.5278/ijsepm.2015.7.7
M3 - Journal article
SN - 2246-2929
VL - 7
SP - 79
EP - 98
JO - International Journal of Sustainable Energy Planning and Management
JF - International Journal of Sustainable Energy Planning and Management
ER -