Incitations ŕ développer les enr et l'énergie solaire: une approche par la cointégration en panel

• Autorzy: Olivier Damette

Warianty tytułu

Motivations for Developing Renewable Energy and Solar Energy : Panel Cointegration Approach

• Języki publikacji: FR

Abstrakty

Les menaces que font peser le réchauff ement climatique sur l'environnement ont incité les pouvoirs publics des pays européens à accélérer leur transition énergétique et à augmenter leur production d'électricité à partir d'énergies renouvelables (EnR). Le déploiement des énergies renouvelables en Europe est cependant hétérogène selon les pays et il semble répondre à un certain nombre de déterminants macroéconomiques identifi és dans la littérature (émissions de CO2, revenu national, consommation et dépendance énergétique, dynamique du prix du pétrole). Dans cet article, nous montrons que le recours aux estimateurs à eff ets fi xes permet de retrouver les eff ets empiriques des déterminants usuels de la production d'électricité à partir des EnR pris dans leur globalité. Néanmoins, les analyses de la littérature semblent avoir négligé la présence de non stationnarité et de cointégration dans la relation entre la production d'EnR et ses déterminants. L'utilisation d'estimateurs adaptés à la cointégration (DOLS, FMOLS) relativise la portée des résultats habituellement identifi és dans la littérature. En conduisant la même analyse pour le cas particulier de l'énergie solaire, nous montrons que ce type particulier d'énergie, comme le laissait entrevoir une maigre littérature, ne réagit pas aussi fortement aux principaux déterminants macroéconomiques que les EnR dans leur globalité. Les estimations en panel par eff ets fi xes et par le biais des estimateurs de panel adaptés à la présence de cointégration conduisent à cette même conclusion que seul le niveau de dépendance énergétique est réellement important dans la décision de produire de l'énergie solaire.(abstrakt oryginalny)

EN

The threats posed by global warming issues have prompted European governments to accelerate their energy transition and increase their electricity production from renewable energies (Renewable Energy). The deployment of renewables energy in Europe is however heterogeneous according countries and this growth of renewables is likely to be driven by some macroeconomic variables previously analysed in the literature (CO2 emissions, national income, energy consumption and energy dependency, oil price dynamics). In this article, we show using panel fixed effects estimator that econometric results outlined in the previous literature are robust using our new data set by considering all sources of renewables energy. However, we also show that previous papers seem to have neglected the presence of nonstationary and cointegration issues when we assess the relationship between renewables and its drivers. Using suitable cointegrating estimators (DOLS, FMOLS), we relativise the scope of the results usually identified in the literature. By conducting the same analysis for the particular case of solar energy, we show that this particular type of energy, as suggested by a scarce literature, does not react as strongly to the main macroeconomic determinants as the renewables energy as a whole. Panel estimates using fi xed eff ects and panel estimators adapted to the presence of cointegration lead to the same conclusion that only the level of energy dependency is really a major driver in the decision of the governments to produce solar energy.(original abstract)

Słowa kluczowe

EN

Renewable energy; Renewable energy sources; Renewable resources; Renewable natural resources; Solar energy

PL

Energia odnawialna; Odnawialne źródła energii; Surowce odnawialne; Zasoby naturalne odnawialne; Energia słoneczna

• Czasopismo: Revue Internationale des Economistes de Langue Française : revue de l'Association Internationale de Economistes de Langue Française avec la collaboration Université des Sciences Economiques et de Gestion
• Rocznik: 2017
• Tom: 2
• Numer: nr 1
• Strony: 193--213

Twórcy

autor

Olivier Damette

• Université de Lorraine

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