At Home and Abroad: An Empirical Analysis of Innovation and Diffusion in Energy-Efficient Technologies
By E. Verdolini, Marzio Galeotti. 2011
202 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/24f76509c086f74706bba31209e9fd1bf963ead4
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In Economics and Econometrics
- Antoine Dechezleprêtre
- Jun Xiang
- Kyle S. Herman
- Joëlle Noailly
- Sandro Montresor
- Alberto Marzucchi
- Jules-Daniel Wurlod
- C. Ghisetti
Citations in the corpus
- Environmental Regulation and the Cross-Border Diffusion of New Technology: Evidence from Automobile Patents (2015, unknown): “Nor do they say anything about the cross-border search d e a t w s O i a p c t c c g c k A V A. Dechezleprêtre et al. / Re iffusion of environmentally-relevant technology through knowldge spillovers (Verdolini and Galeotti, 2011).”
- Forms of knowledge and eco-innovation modes: Evidence from Spanish manufacturing firms (2017, background): “…and operational kind of knowledge from the world of business finds place at the side of the more investigated role of codified knowledge, such as that captured by the increasingly popular analysis of green patents (e.g. Verdolini and Galeotti, 2011; Barbieri, 2015; Dechezleprêtre et al., 2015).”
- The impact of green innovation on energy intensity: An empirical analysis for 14 industrial sectors in OECD countries (2018, methodology): “We compute cumulative green patent stocks over the 1970–2005 period for our set of 17 OECD countries using the perpetual inventory method with a 10% yearly depreciation rate (Verdolini and Galeotti, 2011) to the counts of patents per sector/country/year.”
- Knowledge Spillovers from Clean and Dirty Technologies (2014, result): “Similar results have been found for energy technologies (see Braun et al. (2010); Verdolini and Galeotti (2011)).”
- Induced innovation in clean energy technologies from foreign environmental policy stringency? (2019, methodology): “For the present research, as we are concerned more with innovations than costs, we follow Verdolini and Galeotti (2011) by using the perpetual inventory method and taking a decay rate over time for clean technology patents, per country and according to patent family.”
- Directing technical change from fossil-fuel to renewable energy innovation: An application using firm-level patent data (2015, unknown): “2 Since the pioneering work of Popp (2002), patents data have been widely used to study innovation in environmental technologies (Dekker et al., 2012; Verdolini and Galeotti, 2011).”
- What Drives the International Transfer of Climate Change Mitigation Technologies? Empirical Evidence from Patent Data (2012, background): “Another study by Verdolini and Galeotti (2011) investigates the drivers of innovation and diffusion in energy-efficient technologies.”
- Environmental Regulation and Competitiveness: Empirical Evidence on the Porter Hypothesis from European Manufacturing Sectors (2015, methodology): “The stock of knowledge is calculated using the perpetual inventory method (Verdolini and Galeotti, 2011) (see Appendix B).”