Cost estimates for multiple pollutants: A maximum entropy approach

被引：42

作者：

Rezek, Jon P. ^{[1
]}

Campbell, Randall C. ^{[1
]}

机构：

[1] Mississippi State Univ, Dept Finance & Econ, Mississippi State, MS 39762 USA

来源：

ENERGY ECONOMICS | 2007年 / 29卷 / 03期

关键词：

output distance function; generalized maximum entropy; linear inequality restrictions; abatement costs; electricity;

D O I：

10.1016/j.eneco.2006.01.005

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

In this paper, we demonstrate the use of inequality restricted generalized maximum entropy estimation to calculate shadow prices of effluents in a distance function framework. We estimate the shadow prices of sulfur dioxide, nitrogen oxides, carbon dioxide and mercury emissions from a panel of 260 coal-fired U.S. electric power plants. This modeling procedure delivers results, which are consistent with existing abatement cost evidence produced with both deterministic approaches and forecasting models. Our results imply that it may not be possible to duplicate the remarkable success of the SO(2) trading system for the other pollutants because of their greater industry abatement cost homogeneity. (C) 2006 Elsevier B.V. All rights reserved.

引用

页码：503 / 519

页数：17

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