A Global Perspective on Renewable Energy Implementation: Commitment Requires Action
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- Rodríguez-Segura, Francisco Javier & Osorio-Aravena, Juan Carlos & Frolova, Marina & Terrados-Cepeda, Julio & Muñoz-Cerón, Emilio, 2023. "Social acceptance of renewable energy development in southern Spain: Exploring tendencies, locations, criteria and situations," Energy Policy, Elsevier, vol. 173(C).
- Polzin, Friedemann & Migendt, Michael & Täube, Florian A. & von Flotow, Paschen, 2015.
"Public policy influence on renewable energy investments—A panel data study across OECD countries,"
Energy Policy, Elsevier, vol. 80(C), pages 98-111.
- Friedemann Polzin & Michael Migendt & Paschen von Flotow & Florian Taübe, 2015. "Public policy influence on renewable energy investments-A panel data study across OECD countries," ULB Institutional Repository 2013/197763, ULB -- Universite Libre de Bruxelles.
- Di Foggia, Giacomo & Beccarello, Massimo & Borgarello, Marco & Bazzocchi, Francesca & Moscarelli, Stefano, 2022. "Market-Based Instruments to Promote Energy Efficiency: Insights from the Italian Case," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 15(20), pages 1-16.
- Manfred Hafner & Pier Paolo Raimondi, 2020. "Priorities and challenges of the EU energy transition: From the European Green Package to the new Green Deal," Russian Journal of Economics, ARPHA Platform, vol. 6(4), pages 374-389, December.
- Hyndman, Rob J. & Khandakar, Yeasmin, 2008.
"Automatic Time Series Forecasting: The forecast Package for R,"
Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i03).
- Rob J. Hyndman & Yeasmin Khandakar, 2007. "Automatic time series forecasting: the forecast package for R," Monash Econometrics and Business Statistics Working Papers 6/07, Monash University, Department of Econometrics and Business Statistics.
- Jonas Rapsikevicius & Jurgita Bruneckiene & Mantas Lukauskas & Sarunas Mikalonis, 2021. "The Impact of Economic Freedom on Economic and Environmental Performance: Evidence from European Countries," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
- Omer, Ozlem & Capaldo, Jeronim, 2023. "The risks of the wrong climate policy for developing countries: Scenarios for South Africa," Ecological Economics, Elsevier, vol. 211(C).
- Gumber, Anurag & Zana, Riccardo & Steffen, Bjarne, 2024. "A global analysis of renewable energy project commissioning timelines," Applied Energy, Elsevier, vol. 358(C).
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Keywords
green economy; SDG-7; renewable energy; energy transition; net-zero; sustainable development;All these keywords.
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