Productivity and work in the ‘green economy’

By Tim Jackson, P. Victor. 2011

212 citations recorded by the source corpus.

Abstract This paper explores the concept of productivity in post-growth economies. It defines the ‘productivity trap’ that arises from the systematic pursuit of labour productivity and describes two solutions to this trap, each of which has some precedence in economic theory. The first is to reduce working hours – the most frequently cited avenue to combat unemployment in non-growing economies. The second is to engage in structural shifts towards low productivity growth sectors. Using a simple simulation model of the UK economy we illustrate how these two strategies might combine to achieve ‘deep’ carbon emission reduction targets while maintaining high employment.

Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/41c7ca65c1010f174c1bbae715ac5255f1d478eb

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Citations in the corpus

The green economy agenda: business as usual or transformational discourse? (2015, background): “It is found largely in the academic literature (see, e.g., Cato 2009, Jackson and Victor 2011), rather than the institutional reports discussed above.”
An alternative policy approach to rural development in regions facing population decline (2018, background): “Jackson and Victor (2011) see a way out of the ‘productivity trap’ by reducing working hours and ‘sharing the work’.”
Building a Sustainable and Desirable Economy-in-Society-in-Nature (2013, background): “This would work as long as the economy continues to grow and offsets labor productivity, but if there is a slowdown in the economy, then increasing productivity may also lead to increasing unemployment [118].”
Green growth and climate change: conceptual and empirical considerations (2016, background): “To this end, translating productivity increases into work-time reductions instead of higher incomes should occupy a more central place in economic research (Antal, 2014; Jackson & Victor, 2011).”