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Climate change and discounting.

University of California, Berkeley.

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Climate change and discounting.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Climate change and discounting./
Author:	Shah, Nihar Kaushik.
Description:	47 p.
Notes:	Adviser: Arun Majumdar.
Contained By:	Dissertation Abstracts International70-04B.
Subject:	Economics, General. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3353210
ISBN:	9781109096989

Climate change and discounting.
Shah, Nihar Kaushik.

Climate change and discounting. - 47 p.

Adviser: Arun Majumdar.

Thesis (Ph.D.)--University of California, Berkeley, 2008.

In this dissertation, we discuss the limitations confronting both descriptive and prescriptive approaches to cost-benefit analyses of climate change. Both approaches are incomplete and the debate between the two tracks has hitherto remained unresolved. We interpret recent empirical psychological and behavioral economics evidence as for the first time empirically supporting low discount rates such as the 0.1% discount rate recommended by Stern,[1] thus effectively resolving the discounting debate. A new algorithm is proposed to incorporate ecological limits such as the 550 ppm limit to CO2 emissions explicitly into microeconomic cost-benefit analyses of climate change mitigation policies. We review the recent literature on cybernetics and control information theory to show that it can be used effectively as a metaframework for the analysis of social problems. We also postulate that the control information as defined by control information theorists is the same as the contextual support that psychologists show allow more effective decisionmaking, offering exciting possibilities for future research and applications.

ISBN: 9781109096989Subjects--Topical Terms:

1017424
Economics, General.

Climate change and discounting.
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020 $a 9781109096989
035 $a (UMI)AAI3353210
035 $a AAI3353210
040 $a UMI $c UMI
100 1 $a Shah, Nihar Kaushik. $3 1028017
245 1 0 $a Climate change and discounting.
300 $a 47 p.
500 $a Adviser: Arun Majumdar.
500 $a Source: Dissertation Abstracts International, Volume: 70-04, Section: B, page: .
502 $a Thesis (Ph.D.)--University of California, Berkeley, 2008.
520 $a In this dissertation, we discuss the limitations confronting both descriptive and prescriptive approaches to cost-benefit analyses of climate change. Both approaches are incomplete and the debate between the two tracks has hitherto remained unresolved. We interpret recent empirical psychological and behavioral economics evidence as for the first time empirically supporting low discount rates such as the 0.1% discount rate recommended by Stern,[1] thus effectively resolving the discounting debate. A new algorithm is proposed to incorporate ecological limits such as the 550 ppm limit to CO2 emissions explicitly into microeconomic cost-benefit analyses of climate change mitigation policies. We review the recent literature on cybernetics and control information theory to show that it can be used effectively as a metaframework for the analysis of social problems. We also postulate that the control information as defined by control information theorists is the same as the contextual support that psychologists show allow more effective decisionmaking, offering exciting possibilities for future research and applications.
590 $a School code: 0028.
650 4 $a Economics, General. $3 1017424
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Engineering, System Science. $3 1018128
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690 $a 0548
690 $a 0790
710 2 $a University of California, Berkeley. $3 687832
773 0 $t Dissertation Abstracts International $g 70-04B.
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790 1 0 $a Majumdar, Arun, $e advisor
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3353210