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Pollution Abatement and Employment.
Rolf Färe1, Shawna Grosskopf2, Carl A Pasurka3
1Department of Economics and Department of Agriculture and Resource Economics Oregon State University Corvallis, OR and Department of Agricultural and Resource Economics University of Maryland College Park, MD.
This study introduces a new input distance function to analyze employment changes due to environmental regulations, avoiding reliance on costly pollution abatement data. The findings offer a more accurate understanding of regulatory impacts on jobs in the power sector.
Area of Science:
- Environmental Economics
- Labor Economics
- Industrial Organization
Background:
- Morgenstern et al. (2002) previously studied environmental regulation's employment effects.
- Their cost function relied on potentially inaccurate survey data for pollution abatement costs.
Purpose of the Study:
- To develop and apply a novel input distance function model.
- To analyze the employment effects of environmental regulations without using pollution abatement cost data.
- To measure factors influencing employment changes in the electric power industry.
Main Methods:
- Specification of an input distance function.
- Modeling the joint production of desirable and undesirable outputs.
- Empirical analysis using data from 80 coal-fired electric power plants (1995-2005).
Main Results:
- The input distance function effectively measures the relative importance of factors affecting employment.
- The model provides insights into employment dynamics without direct pollution abatement cost data.
- Analysis of coal-fired power plants reveals key drivers of employment changes.
Conclusions:
- The input distance function offers a robust alternative for studying environmental regulation's employment impacts.
- This approach enhances the accuracy of economic analyses in the presence of joint production.
- Findings contribute to understanding labor market adjustments to environmental policies.
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