Downloads provided by UsageCounts
handle: 10261/187717
There has been an intense debate on the quantification of the employment effects of renewable electricity deployment in the European Union. However, most studies carried out in the past have focused on specific countries and those with a European-wide scope have not provided disaggregated results per country. Furthermore, differences between importing and exporting countries have not been considered. This paper aims to cover those gaps. It presents a novel methodology which integrates the aforementioned considerations in order to calculate the employment effects of renewable energy deployment. The methodology is useful to calculate dynamic employment factors (considering technology learning effects) and the specific capacity (based on trade effects) to which these factors should be applied. It is applied to three renewable energy technologies – photovoltaics, wind on-shore and wind off-shore- in the European Union Member States in the 2008–2012 period. The results using this novel methodology broadly confirm the figures provided in other contributions in the literature. The proposed methodology can be instrumental in assessing the socio-economic effects of policies and investment programmes targeting the deployment of renewable energy technologies.
Peer reviewed
Employment, Photovoltaics, Renewable energy, Renewable energies, Wind energy
Employment, Photovoltaics, Renewable energy, Renewable energies, Wind energy
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 57 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 26 | |
| downloads | 19 |

Views provided by UsageCounts
Downloads provided by UsageCounts