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Cost- and Price Dynamics of Solar PV Modules

By Stefan J. Reichelstein and Anshuman Sahoo


This paper develops a model framework and a corresponding empirical inference procedure for estimating long-run marginal cost in industries where production costs decline over time. In the context of the solar photovoltaic module industry, we rely on firm-level financial accounting data to estimate the long-run marginal cost of PV modules for the years 2008 -2013. During those years, the industry experienced both sharp price declines and significant expansions of manufacturing capacity. By comparing the trajectory of average sales prices with the long-run marginal cost estimates, we are in a position to quantify the extent to which actual price declines were attributable to excess capacity as opposed to reductions in production costs. While we find a significant effect attributable to excess capacity for some quarters in our sample period, the dynamics of this industry also points to a rate of cost reductions that is even faster than the 80% learning curve which has described the trajectory of average sales prices over the past three decades

Topics: D41, L11, L63, M21, Q42, ddc:330, long-run marginal cost, cost estimation, learning-by-doing, price dynamics
Publisher: Munich: Center for Economic Studies and Ifo Institute (CESifo)
Year: 2015
OAI identifier: oai:econstor.eu:10419/128381
Provided by: EconStor

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