The effect of allocative inefficiency on CO2 abatement costs for the Korean steel industry: a shadow cost approach

Firms facing a regulatory environment are unlikely to maintain an optimal combination of input rates subject to market prices while bearing the costs incurred by this allocative inefficiency. The distance function approach, widely used in the extant literature, fails to capture the costs of this all...

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Main Author: Myunghun Lee
Format: Article
Language:English
Published: Taylor & Francis Group 2017-03-01
Series:Carbon Management
Subjects:
Online Access:http://dx.doi.org/10.1080/17583004.2017.1306427
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author Myunghun Lee
author_facet Myunghun Lee
author_sort Myunghun Lee
collection DOAJ
description Firms facing a regulatory environment are unlikely to maintain an optimal combination of input rates subject to market prices while bearing the costs incurred by this allocative inefficiency. The distance function approach, widely used in the extant literature, fails to capture the costs of this allocative inefficiency, resulting in the underestimation of CO2 abatement costs. In this study, we test for the allocative efficiency of inputs for the Korean steel industry over 1990–2010 by estimating the shadow cost function as a function of unobservable shadow input prices. The effect of CO2 reduction on allocative inefficiency costs is subsequently analyzed. Empirical results indicate that the hypothesis of allocative efficiency for all inputs is rejected, and a 1% reduction in CO2 emissions would result in a 0.22% increase in allocative inefficiency costs for the median year, 2000.
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spelling doaj.art-67413d484f0d453791a91c3c53fb86942023-09-21T15:09:04ZengTaylor & Francis GroupCarbon Management1758-30041758-30122017-03-018213514210.1080/17583004.2017.13064271306427The effect of allocative inefficiency on CO2 abatement costs for the Korean steel industry: a shadow cost approachMyunghun Lee0Inha UniversityFirms facing a regulatory environment are unlikely to maintain an optimal combination of input rates subject to market prices while bearing the costs incurred by this allocative inefficiency. The distance function approach, widely used in the extant literature, fails to capture the costs of this allocative inefficiency, resulting in the underestimation of CO2 abatement costs. In this study, we test for the allocative efficiency of inputs for the Korean steel industry over 1990–2010 by estimating the shadow cost function as a function of unobservable shadow input prices. The effect of CO2 reduction on allocative inefficiency costs is subsequently analyzed. Empirical results indicate that the hypothesis of allocative efficiency for all inputs is rejected, and a 1% reduction in CO2 emissions would result in a 0.22% increase in allocative inefficiency costs for the median year, 2000.http://dx.doi.org/10.1080/17583004.2017.1306427allocative inefficiency of inputsco2 abatement costsshadow cost
spellingShingle Myunghun Lee
The effect of allocative inefficiency on CO2 abatement costs for the Korean steel industry: a shadow cost approach
Carbon Management
allocative inefficiency of inputs
co2 abatement costs
shadow cost
title The effect of allocative inefficiency on CO2 abatement costs for the Korean steel industry: a shadow cost approach
title_full The effect of allocative inefficiency on CO2 abatement costs for the Korean steel industry: a shadow cost approach
title_fullStr The effect of allocative inefficiency on CO2 abatement costs for the Korean steel industry: a shadow cost approach
title_full_unstemmed The effect of allocative inefficiency on CO2 abatement costs for the Korean steel industry: a shadow cost approach
title_short The effect of allocative inefficiency on CO2 abatement costs for the Korean steel industry: a shadow cost approach
title_sort effect of allocative inefficiency on co2 abatement costs for the korean steel industry a shadow cost approach
topic allocative inefficiency of inputs
co2 abatement costs
shadow cost
url http://dx.doi.org/10.1080/17583004.2017.1306427
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