TY - JOUR
T1 - Valuing electricity-dependent infrastructure
T2 - An essential-input approach
AU - Cohen, Jed
AU - Moeltner, Klaus
AU - Reichl, Johannes
AU - Schmidthaler, Michael
N1 - Publisher Copyright:
© 2018 Elsevier B.V.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/6
Y1 - 2018/6
N2 - Electricity is an essential input to both the production of household commodities, and the provision of public infrastructure services. The latter, in turn, are essential to the generation of additional household goods. Thus, customers' willingness to pay to avoid power interruptions will reflect both aspects of foregone household production. We recognize this as an opportunity to value infrastructure services via stated preference methods based on power outage scenarios. We motivate our model using household production theory, and implement it empirically within a Random Utility framework to derive European households' willingness-to-pay to avoid disruption of electricity provision to the “front door,” as well as the loss of important public services. We find that a considerable portion of total willingness-to-pay, to the order of 20–80%, relates to the public service component. This stresses the importance of explicitly specifying the scale of outages and their effect on public services in stated preference elicitation. Failure to do so will produce welfare estimates that are unfit to inform policy, and normalized outage cost estimates that are biased - potentially by a very large margin.
AB - Electricity is an essential input to both the production of household commodities, and the provision of public infrastructure services. The latter, in turn, are essential to the generation of additional household goods. Thus, customers' willingness to pay to avoid power interruptions will reflect both aspects of foregone household production. We recognize this as an opportunity to value infrastructure services via stated preference methods based on power outage scenarios. We motivate our model using household production theory, and implement it empirically within a Random Utility framework to derive European households' willingness-to-pay to avoid disruption of electricity provision to the “front door,” as well as the loss of important public services. We find that a considerable portion of total willingness-to-pay, to the order of 20–80%, relates to the public service component. This stresses the importance of explicitly specifying the scale of outages and their effect on public services in stated preference elicitation. Failure to do so will produce welfare estimates that are unfit to inform policy, and normalized outage cost estimates that are biased - potentially by a very large margin.
KW - Bayesian estimation
KW - Multivariate probit
KW - Power outages
KW - Public infrastructure
UR - http://www.scopus.com/inward/record.url?scp=85048402824&partnerID=8YFLogxK
U2 - 10.1016/j.eneco.2018.05.018
DO - 10.1016/j.eneco.2018.05.018
M3 - Article
SN - 0140-9883
VL - 73
SP - 258
EP - 273
JO - Energy Economics
JF - Energy Economics
ER -