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doi: 10.1086/698859
handle: 10261/249611 , 2434/904490 , 11576/2648345
This paper provides new evidence on the workplace skills most relevant in the transition toward environmentally sustainable economies. Using a novel datadriven methodology, we identify two main sets of green skills, namely, engineering skills for the design and production of technology, and managerial skills for implementing and monitoring environmental organizational practices. Exploiting exogenous geographical variation in regulatory stringency, we also evaluate the effect of environmental regulation on the demand of green skills for a panel of US metropolitan and nonmetropolitan areas over the period 2006–14. The main finding is that while these changes in environmental regulation have no impact on overall employment, they create significant, if modest, gaps in the demand for some green skills, especially those related to technical and engineering work tasks
Environmental regulation, Task model, Environmental regulation; Green skills; Task model; Workforce composition, Workforce composition, Green skills, Environmental regulation, Green skills, Task model, Workforce composition, jel:Q52, jel:J24, Environmental regulations, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, jel: jel:J24, jel: jel:Q52
Environmental regulation, Task model, Environmental regulation; Green skills; Task model; Workforce composition, Workforce composition, Green skills, Environmental regulation, Green skills, Task model, Workforce composition, jel:Q52, jel:J24, Environmental regulations, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, jel: jel:J24, jel: jel:Q52
| 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). | 108 | |
| 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 1% | |
| 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% |
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