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Cited by 293

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Environmental Regulation and Green Skills: An Empirical Exploration

Open access
Vona, Francesco, Marin, Giovanni, Consoli, Davide, Popp, David·2018·Journal of the Association of Environmental and Resource Economists

Abstract

This paper provides new evidence on the workplace skills most relevant in the transition toward environmentally sustainable economies. Using a novel data-driven 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.

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Crossref · 10.1086/698859

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Metadata

Authors
Vona, F., Marin, G., Consoli, D., & Popp, D.
Venue
Journal of the Association of Environmental and Resource Economists
Published
2018-10
Volume
5
Issue
4
Pages
713-753
ISSN
  • 2333-5955 (ISSN-L)
  • 2333-5963
OpenAlex
W2804465981
Cited by
293
References
31
FWCI
19.22
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Environmental Regulation and Green Skills: An Empirical Exploration. https://app.cochat.ai/papers/10.1086/698859
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Vona, F., Marin, G., Consoli, D., & Popp, D. (2018). Environmental Regulation and Green Skills: An Empirical Exploration. Journal of the Association of Environmental and Resource Economists. https://doi.org/10.1086/698859

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.