Employment changes in environmentally innovative firms
Klaus Rennings (),
Andreas Ziegler and
Thomas Zwick ()
No 01-46, ZEW Discussion Papers from ZEW - Leibniz Centre for European Economic Research
This paper analyses the determinants of employment reactions induced by environmental innovations. On the basis of the parameter estimates of the Multinomial Logit and of several Multinomial Probit Models, we show that we have to distinguish between the factors that have an impact on employment increases and employment decreases. The data stem from a telephone survey covering about 1600 firms in five European countries that introduced eco-innovations recently. Environmental product and service innovations increase significantly the probability of creating jobs. Thus, supporting these innovations does not counteract labour market policy. In contrast to this, end-of-pipe eco-innovations increase the risk of destroying jobs, however at a higher significance level. Environmental innovations are skill-biased, they have a significant impact on employment changes if they are substantial and if they are induced by regulations. Firms expecting increasing sales are more prone to increase employment, while firms that want to slash costs by innovation and compete by soft factors decrease employment more frequently.
Keywords: Innovation; labour demand; discrete choice models (search for similar items in EconPapers)
JEL-codes: C25 J23 O33 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:zbw:zewdip:0146
Access Statistics for this paper
More papers in ZEW Discussion Papers from ZEW - Leibniz Centre for European Economic Research Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().