Could working less reduce pressures on the environment? A cross-national panel analysis of OECD countries, 1970–2007

By Kyle W. Knight, E. Rosa, J. Schor. 2013

269 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/396482cca8b52d97286c0703d393ef135785644e

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Citations in the corpus

Would shorter working time reduce greenhouse gas emissions? An analysis of time use and consumption in Swedish households (2015, methodology): “Finally, Knight et al (2013) conducted a panel analysis of carbon footprint [greenhouse gas (GHG) emissions from consumption] in twentynine OECD countries between 1970 and 2007 and found a response of 1.3% increase in carbon footprint for an increase in work hours by 1%.”
How to deal with the rebound effect? A policy-oriented approach (2016, background): “…of sufficiency measures in terms of reducing environmental burdens from consumption, as well as of social benefits, has been demonstrated in the context of the reduction of working hours in developed countries (Hayden and Shandra, 2009; Knight et al., 2013; Rosnick and Weisbrot, 2007).”
Transforming Consumption: From Decoupling, to Behavior Change, to System Changes for Sustainable Consumption (2015, background): “In theory, productivity improvements from innovation can be rewarded with reduced work hours and then reduced consumption (133, 173).”
Assessing the impact of population, income and technology on energy consumption and industrial pollutant emissions in China (2015, result): “Similar evidence was also obtained in OECD countries [36,37] and European Union countries [38].”
Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China (2016, methodology): “To address those issues, the FD estimation is employed, which can address properly the important econometric concerns including cross-sectional dependence, heteroskedasticity and nonstationarity, which has been widely used to assess the impact of human activity on the environment [8,10,12,16,18].”
Income Inequality and Carbon Emissions in the United States: A State-level Analysis, 1997–2012 (2017, background): “…to increase working hours (Bowles and Park, 2005), and cross-national research suggests that longer working hours are drivers of energy consumption and CO2 emissions via both their impacts on economic growth and on households' consumption choices (Fitzgerald et al., 2015; Knight et al., 2013).”
Working time reduction policy in a sustainable economy: criteria and options for its design. (2014, background): “stochastic development of the I= PATmodel, also find positive correlations, controlling for other factors, between average working hours and total environmental impact (variouslymeasured as ecological footprint, carbon footprint or carbon dioxide emissions) (Hayden and Shandra, 2009; Knight et al., ”