A Rational Approach to Governmental Decision Concerning Air Pollution

This paper addresses a problem common to many government agencies--trying to specify a regulatory policy that is in some sense best for a given situation. Such questions demand the consideration of multiple conflicting objectives, non-repeatable uncertainties, costs and benefits accruing to various...

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Main Authors: Ellis, Howard M., Keeney, Ralph L.
Format: Working Paper
Language:en_US
Published: Massachusetts Institute of Technology, Operations Research Center 2004
Online Access:http://hdl.handle.net/1721.1/5338
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author Ellis, Howard M.
Keeney, Ralph L.
author_facet Ellis, Howard M.
Keeney, Ralph L.
author_sort Ellis, Howard M.
collection MIT
description This paper addresses a problem common to many government agencies--trying to specify a regulatory policy that is in some sense best for a given situation. Such questions demand the consideration of multiple conflicting objectives, non-repeatable uncertainties, costs and benefits accruing to various individuals, businesses, and organizations, and effects which extend far into the future. Here a systematic approach--known as decision analysis--appropriate for analyzing such problems, is illustrated. The specific problem involves determining the maximum legal sulfur content of fuels burned in New York City. From the point of view of a city administrator, seven major objectives are identified for this problem. These include physical and psychological health effects on residents, economic consequences to both residents and the City, and political implications. Measures of effectiveness are specified for each objective, and the possible consequences of lowering the legal sulfur content of fuels from one to 0. 37 percent in terms of these measures of effectiveness are assessed. Finally, the impact of this application of decision analysis are described.
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spelling mit-1721.1/53382019-04-10T10:36:06Z A Rational Approach to Governmental Decision Concerning Air Pollution Ellis, Howard M. Keeney, Ralph L. This paper addresses a problem common to many government agencies--trying to specify a regulatory policy that is in some sense best for a given situation. Such questions demand the consideration of multiple conflicting objectives, non-repeatable uncertainties, costs and benefits accruing to various individuals, businesses, and organizations, and effects which extend far into the future. Here a systematic approach--known as decision analysis--appropriate for analyzing such problems, is illustrated. The specific problem involves determining the maximum legal sulfur content of fuels burned in New York City. From the point of view of a city administrator, seven major objectives are identified for this problem. These include physical and psychological health effects on residents, economic consequences to both residents and the City, and political implications. Measures of effectiveness are specified for each objective, and the possible consequences of lowering the legal sulfur content of fuels from one to 0. 37 percent in terms of these measures of effectiveness are assessed. Finally, the impact of this application of decision analysis are described. 2004-05-28T19:34:29Z 2004-05-28T19:34:29Z 1971-08 Working Paper http://hdl.handle.net/1721.1/5338 en_US Operations Research Center Working Paper;OR 005-71 1746 bytes 2163256 bytes application/pdf application/pdf Massachusetts Institute of Technology, Operations Research Center
spellingShingle Ellis, Howard M.
Keeney, Ralph L.
A Rational Approach to Governmental Decision Concerning Air Pollution
title A Rational Approach to Governmental Decision Concerning Air Pollution
title_full A Rational Approach to Governmental Decision Concerning Air Pollution
title_fullStr A Rational Approach to Governmental Decision Concerning Air Pollution
title_full_unstemmed A Rational Approach to Governmental Decision Concerning Air Pollution
title_short A Rational Approach to Governmental Decision Concerning Air Pollution
title_sort rational approach to governmental decision concerning air pollution
url http://hdl.handle.net/1721.1/5338
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