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| Kahouli, Sondes; Martin, Jean Christophe. |
| The French government has launched three separate calls for tender in July 2011, March 2013, and December 2016 to install 3.5 GW of offshore wind. In addition to contributing to the fulfillment of environmental commitments, the deployment of offshore wind energy is expected to be a lever for economic development. To assess gross economic impacts, mainly in terms of job creation, we built a regional input-output model of the wind farm off Saint-Brieuc located in the region of Brittany, north-western France. Our model indicates that the project will have positive effects on Brittany’s economy. In particular, during the investment phase, the wind farm is expected to lead to €0.38 M/year/MW of added value and 6.03 full-time equivalent (FTE) jobs/year/MW.... |
| Tipo: Text |
Palavras-chave: Offshore wind; Economic impacts; Input-output model; France. |
| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00405/51674/52309.pdf |
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| Fizaine, Florian; Kahouli, Sondes. |
| In light of the creation of the EU Energy Poverty Observatory (EPOV) in January 2018 and the increase in debates on how fuel poverty is measured, we propose a critical analysis of fuel poverty indicators and demonstrate that choosing a given indicator is central to the identification of the fuel-poorpopulation. First, we conducted an inter-indicator analysis to show how profiles of fuel-poor households vary depending on the indicator selected. We designed a multidimensional approach based on a multiple correspondence analysis and a hierarchical and partitioning clustering analysis to study characteristics of fuel-poor households. We highlight the difficulty of identifying a fuel-poor 'typical profile' and show that the composition of the population depends... |
| Tipo: Text |
Palavras-chave: Fuel poverty; Group identification; Indicator dismantling; Multidimensional analysis; Sensitivity analysis. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00476/58773/62415.pdf |
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