2019
DOI: 10.1016/j.respol.2018.03.012
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Measuring the temporal dynamics of policy mixes – An empirical analysis of renewable energy policy mixes’ balance and design features in nine countries

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Cited by 226 publications
(175 citation statements)
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“…Environmental Economics and Policy Studies (2019) 21:217-254 show great potential. This, thus, suggests the existence of differential policy impacts across various types of technologies (see also Nicolli and Vona 2014;Lee and Lee 2013;Fujii and Managi 2016;Schmidt and Sewerin 2018).…”
mentioning
confidence: 99%
“…Environmental Economics and Policy Studies (2019) 21:217-254 show great potential. This, thus, suggests the existence of differential policy impacts across various types of technologies (see also Nicolli and Vona 2014;Lee and Lee 2013;Fujii and Managi 2016;Schmidt and Sewerin 2018).…”
mentioning
confidence: 99%
“…Finally, some studies have gone further and have analyzed the effect of RE policies by using regression analysis. In this regard, it is worth highlighting, for example, the studies by Dong [35], Zhao and Wang [36], Liu et al [37], and Schmidt and Sewerin [38]. All these studies use panel data referring to countries that have been applying measures to promote the use of RE for years, having increased the scale of RE use in a stable manner.…”
Section: Methodological Frameworkmentioning
confidence: 99%
“…Technology specificity is the key design feature analysed in the literature about technology selection and lock-in (del Río González 2008, Azar and Sandén 2011, Kalkuhl et al 2012, Lehmann and Gawel 2013, Schmidt et al 2016, Gawel et al 2017, Schmidt and Sewerin 2018. Technology-specific policy instruments directly foster the deployment of an individual technology or groups of technologies (Gawel et al 2017).…”
Section: Design Features Of Deployment Policiesmentioning
confidence: 99%
“…On the one hand, the number of ex-post models using empirical data for policy evaluation is scarce (Rai and Henry 2016). On the other hand, the role of deployment policy design (Howlett et al 2015) in locking-in technologies has not yet been explicitly analysed in such models, despite lively debates in the literature suggesting that the policy design is a key factor in inducing technology diffusion and innovation (Dinica 2006, Lipp 2007, Kemp and Pontoglio 2011, Schmidt and Sewerin 2018.…”
Section: Introductionmentioning
confidence: 99%