Fiche du document
- ISIDORE Id: 10670/1.fefe31...
- hal: hal-03339134
- doi: 10.1016/j.eneco.2020.105024
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.eneco.2020.105024
info:eu-repo/semantics/OpenAccess
Mots-clés
Solar photovoltaic Renewables deployment Oil prices Panel smooth transition regression. Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q4 - Energy Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q4 - Energy/Q.Q4.Q42 - Alternative Energy Sources C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C23 - Panel Data Models • Spatio-temporal Models C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C24 - Truncated and Censored Models • Switching Regression Models • Threshold Regression ModelsCiter ce document
Margaux Escoffier et al., « Determinants of solar photovoltaic deployment in the electricity mix : Do oil prices really matter? », HAL SHS (Sciences de l’Homme et de la Société), ID : 10.1016/j.eneco.2020.105024
Métriques
Partage / Export
Résumé
This paper investigates the determinants of solar photovoltaic (PV) deployment in the electricity mix for a panelof OECD and BRICS countries from 1997 to 2016 by paying particular attention to the impact of oil market con-ditions. Relying on a nonlinear, regime-switching specification, we show that rising oil prices stimulate PV de-ployment only if their growth rate exceeds 6.7% per annum. Although wefind that various other determinantsmatter—with the influence of some of them depending on the situation on the oil market—public policies playa crucial role.
