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Exploring the impact of permitting and local regulatory processes on residential solar prices in the United States

Abstract This article statistically isolates the impacts of city-level permitting and other local regulatory processes on residential PV prices in the United States. We combine data from two “scoring” mechanisms that independently capture local regulatory process efficiency with the largest dataset of installed PV prices in the United States. We find that variations in local permitting procedures can lead to differences in average residential PV prices of approximately $0.18/W between the jurisdictions with the least-favorable and most-favorable permitting procedures. Between jurisdictions with scores across the middle 90% of the range (i.e., 5th percentile to 95th percentile), the difference is $0.14/W, equivalent to a $700 (2.2%) difference in system costs for a typical 5-kW residential PV installation. When considering variations not only in permitting practices, but also in other local regulatory procedures, price differences grow to $0.64–$0.93/W between the least-favorable and most-favorable jurisdictions. Between jurisdictions with scores across the middle 90% of the range, the difference is equivalent to a price impact of at least $2500 (8%) for a typical 5-kW residential PV installation. These results highlight the magnitude of cost reduction that might be expected from streamlining local regulatory regimes.
- Yale University United States
- Lawrence Berkeley National Laboratory United States
- The University of Texas at Austin United States
- Lawrence Berkeley National Laboratory United States
- United States Department of Energy United States
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).33 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
