DocumentCode :
2592519
Title :
Efficient Pricing and Capital Recovery for Infrastructure over Time: Incentives and Applications for Electric Transmission Expansion
Author :
Schuler, Richard E.
Author_Institution :
Cornell Univ., Ithaca, NY, USA
fYear :
2011
fDate :
4-7 Jan. 2011
Firstpage :
1
Lastpage :
9
Abstract :
Classic economic theory provides a conundrum: different short- and long-run pricing prescriptions for large capital-intensive infrastructure projects. Short run prices should cover only the operating costs of the facility; otherwise, the project may go under-utilized. Only as the facility becomes congested are additional fees warranted to allocate its use efficiently. But capital costs are included in user-fees only when additional demand would force the construction of more capacity. Once built, however, the price should fall, resulting in schizophrenic behavior by customers and investors. By integrating the assessment and assignment of congestion fees with other economic principles like "peak-load-pricing" and the "inverse-elasticity" rule for apportioning capital costs, a sequence of pricing rules is described that can lead to a smooth, efficient and fair evolution of prices over space and time. These pricing principles also result in compatible incentives for all parties, and they complement several existing electricity system planning processes.
Keywords :
economics; electricity supply industry; pricing; capital costs; capital recovery; classic economic theory; economic principles; efficient pricing; electric transmission expansion; inverse-elasticity rule; large capital-intensive infrastructure projects; operating costs; peak-load-pricing; pricing prescriptions; pricing principles; pricing rules; schizophrenic behavior; short run prices; system planning; user-fees; Bridges; Economics; Elasticity; Government; Investments; Pricing; Water resources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences (HICSS), 2011 44th Hawaii International Conference on
Conference_Location :
Kauai, HI
ISSN :
1530-1605
Print_ISBN :
978-1-4244-9618-1
Type :
conf
DOI :
10.1109/HICSS.2011.180
Filename :
5718665
Link To Document :
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