2018
DOI: 10.1016/j.ecolecon.2017.11.023
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Technology Diffusion and Climate Policy: A Network Approach and its Application to Wind Energy

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Cited by 29 publications
(4 citation statements)
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“…The observed lag in wind power adoption between DEEs and AEs was 14 years. DEEs lagging AEs was also concluded by Halleck‐Vega and Mandel (2018), however, the 14 years is slightly longer than the decade delay caused by being a follower (Bento & Fontes, 2016).…”
Section: Discussionsupporting
confidence: 51%
See 1 more Smart Citation
“…The observed lag in wind power adoption between DEEs and AEs was 14 years. DEEs lagging AEs was also concluded by Halleck‐Vega and Mandel (2018), however, the 14 years is slightly longer than the decade delay caused by being a follower (Bento & Fontes, 2016).…”
Section: Discussionsupporting
confidence: 51%
“…To date, path creation within wind energy is mostly studied using historical descriptive and interview‐based methods (e.g., Bento & Fontes, 2015; Inoue & Miyazaki, 2008; van der Vleuten & Raven, 2006), there is only limited mixed methods and quantitative research (e.g., Halleck‐Vega & Mandel, 2018; Steen & Hansen, 2018; Steffen et al, 2018). In nascent fields of research, qualitative research allows for pattern development.…”
Section: Path Creation For Wind Energymentioning
confidence: 99%
“…With respect to the relations between networks and economic policies, network analysis techniques are well suited to explore the direct and indirect effects of policy interventions (Haldane, 2014), as they represent a nonpareil informative tool for the policymaker dealing with macro-prudential regulation (Haldane, 2009;Farmer et al, 2012;Battiston et al, 2016;Gaffeo and Molinari, 2016), trade policy (Gala et al, 2018;Giammetti et al, 2019;Giammetti, 2019), climate policy (Balint et al, 2017;Vega and Mandel, 2018), fiscal policy (Briganti et al, 2018). Furthermore, with respect to the specific field of monetary policy, the Bank of England's chief economist calls for an understanding of the complex international monetary network dynamics as a pre-requisite for effective management of monetary policies (Haldane 2014).…”
Section: Network Analysis Business Cycle and Monetary Policy: A Shormentioning
confidence: 99%
“…This leads to an exponential model for the conditional diffusion density over time, more precisely f ( t i | t j ; α ji ) = α ji e − α ji ( t i − t j ) . This Poisson assumption is a simple and natural benchmark when there is no specific information available about the dynamic aspects of the diffusion strategies in the fine-grained structure [ 58 ]. In S1 Appendix , we explore an alternative functional assumption related to the diffusion process.…”
Section: Methodsmentioning
confidence: 99%