Motivations driving renewable energy in European countries: A panel data approach

Marques, António Cardoso; Fuinhas, José Alberto; Manso, José Ramos Pires

doi:10.1016/j.enpol.2010.07.003

Cited by 401 publications

(305 citation statements)

References 20 publications

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“…They also do not confirm the assertion by Marques et al that there is a slight underlying influence of per capita energy consumption on RES-E development. Because our fixed-effects model drops variables that are constant over time, we could not verify the significant, positive effect of land area on RES-E deployment that was demonstrated by the FEVD model in Marques et al (2010). However, our pooled cross-section regressions do indicate a strong relationship between land area and RES-E development.…”

Section: Interpretation Of Findingsmentioning

confidence: 61%

“…The second group (Carley 2009, Delmas 2011, Marques et al 2010 Kneifel 2011) provides empirical evidence to support this concern. These studies use fixed-effects regression models or other strategies to reduce omitted variables bias from state characteristics that are correlated with both policy implementation and renewable energy deployment.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The third group (Marques et al 2011, Yin andPowers 2009) The two primary analyses of RES-E development drivers in Europe are provided by Marques et al (2010;. In the first paper, they use a panel FEVD model on a sample of 24 European countries from 1990 to 2006 to estimate the effect of general political and socioeconomic factors on the renewable energy percentage of total electricity generation.…”

Section: Literature Reviewmentioning

confidence: 99%

“…We assemble country-specific data at a technology-specific level for solar PV and onshore wind capacity for the period from 1992 to 2008 in 26 European Union countries. 1 Thus, we can not only test for the impact of political and socioeconomic variables on RES-E development as done by Marques et al (2010;), but we can also assess the effectiveness of FIT policies specifically. Second, we use a fixed-effects panel data approach to control for unobserved state-level characteristics that may influence both policy implementation and renewable energy development.…”

Section: Empirical Framework and Datamentioning

confidence: 99%

“…Following Marques et al (2010;, we incorporate this variable into our cross-sectional regressions, though it is dropped from fixed-effects regressions because it is constant over time. Marques et al (2010; Oil share Natural logarithm of diesel and crude oil to total electricity generation ratio % Eurostat (2011) Marques et al (2010; Natural gas share Natural logarithm of natural gas to total electricity generation ratio % Eurostat (2011) Marques et al (2010; Coal share Natural logarithm of coal and lignite to total electricity generation ratio % Eurostat strong to negligible, but each member country has passed some RES-E legislation as a result. This variable captures any systematic changes in the responsiveness of RES-E development to drivers before and after the Directive was ratified.…”

Section: Carley (2009) Illustrates the Importance Of Controlling For mentioning

confidence: 99%

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Assessing the strength and effectiveness of renewable electricity feed-in tariffs in European Union countries

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. We develop a new indicator for FIT strength that captures variability in tariff size, contract duration, digression rate, electricity price, and electricity generation cost to estimate the resulting return on investment. We then regress this indicator on added RES-E capacity using a fixed effects specification. We find that FIT policies have driven solar PV and onshore wind capacity development in the EU. However, this effect is overstated without controls for country characteristics and may be concealed without accounting for the unique design of each policy. We provide empirical evidence that the interaction of policy design and market dynamics are more important determinants of RES-E development than policy enactment alone. Terms of use: Documents in

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Section: Interpretation Of Findingsmentioning

confidence: 61%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Empirical Framework and Datamentioning

confidence: 99%

Section: Carley (2009) Illustrates the Importance Of Controlling For mentioning

confidence: 99%

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Assessing the strength and effectiveness of renewable electricity feed-in tariffs in European Union countries

2013

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Nearly Zero‐Energy and Positive‐Energy Buildings: Status and Trends

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Pignatta

Ulpiani

2022

Technologies for Integrated Energy Systems and Networks

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Does conventional energy pricing induce innovation in renewable energy? New evidence from a nonlinear approach

Amin

Badruddoza

McCluskey

2021

Applied Eco Perspectives Pol

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This article theoretically and empirically studies the association between research and development investments in renewable energy (RE) and oil prices at the country level. We find a positive and robust association between patent counts for RE and price of crude oil using a panel of 46 countries for 1991-2013 in a fixedeffects hurdle Negative Binomial control function framework. Results suggest that net conventional energy importing countries are more likely to invest in RE when oil prices increase. Countries with more electricity production, less emissions, and greater energy utilization generate more RE patents per year.

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Motivations driving renewable energy in European countries: A panel data approach

Cited by 401 publications

References 20 publications

Assessing the strength and effectiveness of renewable electricity feed-in tariffs in European Union countries

Assessing the strength and effectiveness of renewable electricity feed-in tariffs in European Union countries

Nearly Zero‐Energy and Positive‐Energy Buildings: Status and Trends

Does conventional energy pricing induce innovation in renewable energy? New evidence from a nonlinear approach

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