Productivity: Should We Include Bads?
This paper studies the interaction between economic and environmental performance. Applying the directional output distance function approach, the purpose is to compare estimates of Luenberger total factor productivity indicators, including and excluding bad outputs. Specifically, based on unique firm level data from Swedish manufacturing covering the period 1990 to 2008, we explore to what extent excluding bad outputs leads to erroneous productivity measurement. The main conclusion is that bad outputs should not only be included in the estimations, but also reduction in bad outputs should be credited. From this point of view the directional output distance function approach and the Luenberger indicator serves as an appropriate basis of productivity measurement.
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- Walter Briec & Kristiaan Kerstens, 2008. "Infeasibility and Directional Distance Functions with Application to the Determinateness of the Luenberger Productivity Indicator," Working Papers 2008-ECO-11, IESEG School of Management.
- Briec, Walter & Kerstens, Kristiaan, 2009.
"The Luenberger productivity indicator: An economic specification leading to infeasibilities,"
Elsevier, vol. 26(3), pages 597-600, May.
- Walter Briec & K. Kerstens, 2009. "The Luenberger Productivity Indicator: An Economic Specification Leading to Infeasibilities," Post-Print hal-00372482, HAL.
- Walter Briec & Kristiaan Kerstens, 2008. "The Luenberger Productivity Indicator: An Economic Specifcation Leading to Infeasibilities," Working Papers 2008-ECO-09, IESEG School of Management.
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- Byung M. Jeon & Robin C. Sickles, 2004. "The role of environmental factors in growth accounting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(5), pages 567-591.
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- Kumar, Surender, 2006. "Environmentally sensitive productivity growth: A global analysis using Malmquist-Luenberger index," Ecological Economics, Elsevier, vol. 56(2), pages 280-293, February.
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