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The Impact of Environmental Innovation on Employment Growth in Europe

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  • Bettina Peters
  • Georg Licht

Abstract

This paper studies the impact of environmental innovation on employment growth using firm-level data for 16 European countries and the period 2006-2008. It extends the model by Harrison et al (2008) in order to distinguish between employment effects of environmental and non-environmental product as well as process innovation. By looking at country and sector level differences, it also generates new insights into the heterogeneity of the environmental innovation-employment growth link along different dimensions. The results demonstrate that both environmental and non-environmental product innovations are conducive to employment growth in European firms. We estimate a gross employment effect of product innovation for both types of product innovators that is very similar in nearly all countries and sectors. That is, in most cases a one-percent increase in the sales due to new products for environmental product innovators also increases gross employment by one percent. This implies that there is no evidence that environmentally-friendly new products are produced with higher or lower efficiency than old products. Yet, we observe differences in the contribution of environmental and non-environmental product innovation to employment growth across countries or sectors that are the result of differences in the average innovation engagement and innovation success across countries or sectors. The absolute contribution to employment growth is positive for both types of new products. However, we find mixed evidence for the relative importance. In manufacturing the contribution of environmental product innovators was larger than that of non-environmental product innovators in half of the countries. In services, however, non-environmental product innovators matters more for growth in the vast majority of countries. In contrast, environmental and non-environmental process innovation plays only a little role for employment growth.

Suggested Citation

  • Bettina Peters & Georg Licht, 2014. "The Impact of Environmental Innovation on Employment Growth in Europe," ERSA conference papers ersa14p1542, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa14p1542
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    References listed on IDEAS

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    1. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/GMM estimation and testing," CERT Discussion Papers 0706, Centre for Economic Reform and Transformation, Heriot Watt University.
    2. Dachs, Bernhard & Peters, Bettina, 2014. "Innovation, employment growth, and foreign ownership of firms," Research Policy, Elsevier, vol. 43(1), pages 214-232.
    3. Garcia, Angel & Jaumandreu, Jordi & Rodriguez, Cesar, 2004. "Innovation and jobs: evidence from manufacturing firms," MPRA Paper 1204, University Library of Munich, Germany.
    4. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/generalized method of moments estimation and testing," Stata Journal, StataCorp LP, vol. 7(4), pages 465-506, December.
    5. Horbach, Jens, 2008. "The impact of innovation activities on employment in the environmental sector : empirical results for Germany at the firm level," IAB-Discussion Paper 200816, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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    More about this item

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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