Crowding out or Knowledge Spillovers: The Wind Power Industry´s Effect on Related Energy Machinery
Jonas Grafström ()
No 310, Ratio Working Papers from The Ratio Institute
There is a risk that if a government adopts a R&D spending policy directed towards wind power technology crowding out of other technologies might occur due to fiscal constraints and changes in relative prices. The purpose of this paper is to provide a backward-looking analysis of how the accumulation of wind energy patents and public R&D spending affected the domestic and neighboring country output of granted patents in the “related energy machinery field”. The econometric analysis, a Poisson fixed-effects estimator based on the Hausman, Hall and Griliches (1984) method, relies on a data set consisting of eight countries in Western Europe with the highest rates of patent production in the field of wind power between 1978 and 2008. The results show that an accumulation of a national wind power stock is a statistically significant negative determinant of a country’s related energy machinery patenting outcomes. However, no crowding out effects of public R&D spending were found.
Keywords: knowledge spillovers; wind power; R&D; patents; renewable energy; innovation (search for similar items in EconPapers)
JEL-codes: E61 O32 Q20 Q58 (search for similar items in EconPapers)
Pages: 38 pages
New Economics Papers: this item is included in nep-ene, nep-ino, nep-ipr and nep-mac
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://ratio.se/publikationer/crowding-knowledge-s ... ed-energy-machinery/ Full text (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:hhs:ratioi:0310
Access Statistics for this paper
More papers in Ratio Working Papers from The Ratio Institute The Ratio Institute, P.O. Box 5095, SE-102 42 Stockholm, Sweden. Contact information at EDIRC.
Bibliographic data for series maintained by Martin Korpi ().