While policymakers talk of "green skills", there is little systematic empirical research on the demand for skills that will be needed to operate and develop green technology. We propose a data-driven methodology to identify green skills and to gauge the ways in which the demand for these...

The catchword ‘green skills’ has been common parlance in policy circles for a while, yet there is little systematic empirical research to guide public intervention for meeting the demand for skills that will be needed to operate and develop green technology. The present paper proposes a...

This paper presents a new approach to estimate the green potential of occupations. Using data from O*NET on the skills that workers possess and the tasks they carry out, we train several machine learning algorithms to predict the green potential of U.S. occupations classified according to the...

In this paper, we use a data-driven approach to predict the "green potential" of ISCO occupations based on their corresponding skills. With this information, we can investigate the relationship between environmental regulations and occupation-level employment in the manufacturing sector of 19...

We show that for a broad class of technologies the relationship between policy stringency and the rate of technology adoption is inverted U-shaped. This happens when the marginal abatement cost (MAC) curves of conventional and new technologies intersect, which invariably occurs when emissions...

We use a data-driven methodology to quantify the importance of different skills in performing green tasks, aiming to estimate the green potential of occupations in Switzerland. By this we mean the potential of an occupation to be able to perform green tasks on the basis of the skills attributed...

We use a data-driven methodology to quantify the importance of different skills in performing green tasks. For Switzerland, we estimate the green potential to be 16.7% of the total of employed persons and 18.8% of full-time equivalents in 2017, respectively. Employed persons in jobs with high...

Using a data-driven methodology that allows to quantify the importance of different skills in performing green tasks, we estimate the green potential for 26 European countries. By green potential we mean the share of employed persons in occupations characterised by skills that are important for...

Low Emission Zones (LEZs) reduce local air pollution by restricting emission-intensive vehicles from accessing designated areas and have been shown to improve population health. Little is known about the effects of driving restriction policies on other areas of life. This paper studies the...

As governments worldwide increase their commitments to tackling climate change, the number of low-carbon jobs are expected to grow rapidly. Here we provide evidence on the characteristics of low-carbon jobs in the US using comprehensive online job postings data between 2010-2019. By accurately...