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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- Rolf Färe & Shawna Grosskopf & Carl A Pasurka, Jr., 2001. "Accounting for Air Pollution Emissions in Measures of State Manufacturing Productivity Growth," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 381-409.
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"The Luenberger Productivity Indicator: An Economic Specifcation Leading to Infeasibilities,"
2008-ECO-09, IESEG School of Management.
- Briec, Walter & Kerstens, Kristiaan, 2009. "The Luenberger productivity indicator: An economic specification leading to infeasibilities," Economic Modelling, 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. "Infeasibility and Directional Distance Functions with Application to the Determinateness of the Luenberger Productivity Indicator," Working Papers 2008-ECO-11, IESEG School of Management.
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- Fare, Rolf & Grosskopf, Shawna & Pasurka, Carl Jr., 2007. "Pollution abatement activities and traditional productivity," Ecological Economics, Elsevier, vol. 62(3-4), pages 673-682, May.
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