The manufacture and development of onshore wind energy labour regimes in the US
B. Kh. Davidson
What the paper says
Abstract Despite the proliferation of research, more systematic attempts to trace worker experiences across production networks of renewable energy remain marginal. This limits our potential to offer meaningful insights to guide future political mobilisation and policy measures for organised labour and workers more broadly. As a partial remedy, I provide an initial description of labour processes in wind energy. To do so, I carry out labour regime analysis. The utility of the labour regime framework stems from its ability to help the analyst to understand the labour process better by grounding it into a systematic theoretical framework to capture more effectively how dynamic political economic processes condition workplace outcomes. In my analysis, I highlight how capitals-in-competition within energy production networks facilitate structural conditions that intensify the rate of wind worker exploitation. Critically, the ecological sphere of the labour regime mediates the capital-labour interaction, which helps to explain the significant number of hours and extended timelines expected of wind technicians and those involved on project developments, as project owners push for time intensive schedules to reduce wind turbine downtime. My work also extends labour regime scholarship by arguing that ideational constructions, informed by different spheres of the labour regime, govern the labour process in important ways, which suggests that future studies might more seriously consider how ideational notions of work, such as Gramscian ‘common sense’ expectations, maintain labour regimes. I reason that a combination of these factors, both material and ideational, has made workplace organising in wind difficult.
1 citation
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.16 × 0.4 = 0.06 |
| M · momentum | 0.53 × 0.15 = 0.08 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.