Journalartikel

Jahr der Veröffentlichung: 2020

Seiten: 205-213

Zeitschrift: Renewable Energy

Bandnummer: 148

ISSN: 0960-1481

DOI Link: https://doi.org/10.1016/j.renene.2019.11.133

Verlag: Elsevier

Abstract: 
For this article we combine publicly available data from several sources and establish a spatio-temporal panel data model that captures cross-border electricity flows for 29 European countries. As national electricity generation and load landscapes are quite heterogeneous, our results contradict some former results based on single-nation analyses. However, all resemblances and differences to other studies in this field are comprehensible: In general, countries tend to (net) export greater amounts of electricity if domestic wind power generation increases and smaller ones if domestic load increases. Net exports seem to be negatively dependent on photovoltaic infeed, while several controls like industrial electricity price, country size, and other renewables are statistically insignificant in several specifications and if significant, have rather small amounts of influence. (C) 2019 Elsevier Ltd. All rights reserved.

Harvard-Zitierstil: Croonenbroeck, C. and Palm, M. (2020) A spatio-temporal Durbin fixed effects IV-Model for ENTSO-E electricity flows analysis, Renewable Energy, 148, pp. 205-213. https://doi.org/10.1016/j.renene.2019.11.133

APA-Zitierstil: Croonenbroeck, C., & Palm, M. (2020). A spatio-temporal Durbin fixed effects IV-Model for ENTSO-E electricity flows analysis. Renewable Energy. 148, 205-213. https://doi.org/10.1016/j.renene.2019.11.133