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The greening of jobs in Germany : First evidence from a text mining based index and employment register data

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  • Janser, Markus

    (Institute for Employment Research (IAB), Nuremberg, Germany)

Abstract

"The transition towards a greener, less carbon-intensive economy leads to a growing demand for green products, services and business processes. In theory, this trend should lead to a greening of jobs, i.e. to an increasing share of environmentally friendly requirements within occupations (greening of occupations) and to a rising labor demand for employees in these occupations (greening of employment). Due to a lack of measures, there is no empirical evidence on the relationship between the greening of jobs and the real labor market development so far. To fill this gap, the paper measures, describes and analyzes the greening of jobs and its associations with employment and wage growth. The cornerstone of this paper is the new task-based 'greenness-of-jobs index' (goji). The goji is derived by performing text mining algorithms on yearly data from 2006 and 2011 to 2016 of BERUFENET, an occupational data base provided by the German Federal Employment Agency. The descriptive results of the paper show that there is a notable greening of jobs which varies strongly between sectors and regions. The econometric analysis is based on employment register data from 2011 to 2016. The estimation results reveal that the overall level of greenness of occupations is positively correlated with employment growth. Furthermore, the increase of greenness is related to a slight increase in wage growth." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Janser, Markus, 2018. "The greening of jobs in Germany : First evidence from a text mining based index and employment register data," IAB-Discussion Paper 201814, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  • Handle: RePEc:iab:iabdpa:201814
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    Cited by:

    1. Storm, Eduard, 2023. "Skill mismatch and learning-by-doing: Theory and evidence from time allocation on tasks," Ruhr Economic Papers 1021, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Michael Lobsiger & Christian Rutzer, 2021. "The green potential of occupations in Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 157(1), pages 1-21, December.
    3. Emil Mihaylov & Kea Tijdens, 2019. "Measuring the Routine and Non-Routine Task Content of 427 Four-Digit ISCO-08 Occupations," Tinbergen Institute Discussion Papers 19-035/IV, Tinbergen Institute.
    4. Bach, Stefan & Bär, Holger & Bohnenberger, Katharina & Dullien, Sebastian & Kemfert, Claudia & Rehm, Miriam & Rietzler, Katja & Runkel, Matthias & Schmalz, Sophie & Tober, Silke & Truger, Achim, 2020. "Sozial-ökologisch ausgerichtete Konjunkturpolitik in und nach der Corona-Krise," ifso expertise 6, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    5. Barbieri, Nicolò & Consoli, Davide, 2019. "Regional diversification and green employment in US metropolitan areas," Research Policy, Elsevier, vol. 48(3), pages 693-705.
    6. Genz Sabrina & Janser Markus & Lehmer Florian, 2019. "The Impact of Investments in New Digital Technologies on Wages – Worker-Level Evidence from Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(3), pages 483-521, June.
    7. Eduard Storm, 2023. "On the measurement of tasks: does expert data get it right?," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-24, December.
    8. Genz Sabrina & Janser Markus & Lehmer Florian, 2019. "The Impact of Investments in New Digital Technologies on Wages – Worker-Level Evidence from Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(3), pages 483-521, June.

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    More about this item

    Keywords

    Bundesrepublik Deutschland ; Dekarbonisierung ; Berufsgruppe ; Beschäftigungsentwicklung ; IAB-Beschäftigtenhistorik ; IAB-Betriebs-Historik-Panel ; Lohnentwicklung ; regionaler Vergleich ; sektorale Verteilung ; greenness-of-jobs-index ; Tätigkeitsmerkmale ; Umweltberufe ; 2011-2016;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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