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Climate change and discounting.

University of California, Berkeley.

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Climate change and discounting.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Climate change and discounting./
作者:	Shah, Nihar Kaushik.
面頁冊數:	47 p.
附註:	Adviser: Arun Majumdar.
Contained By:	Dissertation Abstracts International70-04B.
標題:	Economics, General. -
電子資源:	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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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.
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