Modelling and testing behavior in applications to climate change

R. Bargiacchi

Research output: ThesisDoctoral Thesis

226 Downloads (Pure)

Abstract

ROSSELLA BARGIACCHI starts her concluding chapter as follows. It has been our choice in this work to investigate from an economic perspective the question of the optimal extent of climate change prevention. We have therefore chosen an abstract approach to analyze the problem of giving proper ¿rational¿ foundation to the choice of abatement targets, taking into account relevant cognitive and cooperative issues that characterize the climate change problem. The definition of 'optimal' abatement targets involves two conceptually different kinds of economic issues: determining the value of prevention on one side; and implementing international environmental agreements on the other hand. These two issues are deeply correlated: in the case of climate change, the perceived value of prevention for one policy actor depends among other things also on the degree of coordination expected at the international level; similarly, the attractiveness of cooperation depends crucially on the perceived costs and benefits from prevention. Methodologically, however, determining the value of prevention involves the use of very different instruments and concepts than the discussion on international cooperation. For this reason the content of the dissertation can be divided into two parts. Part one is made up by chapters 1 to 3 and it is dedicated to one-agent problems under uncertainty. Part two to is made up by chapters 4 and 5 and concentrates on multi-agents models useful for analyzing the issue of international cooperation.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Tilburg University
Supervisors/Advisors
  • de Zeeuw, Aart, Promotor
Award date15 Feb 2006
Place of PublicationTilburg
Publisher
Print ISBNs9056681648
Publication statusPublished - 2006

Fingerprint

Testing
Modeling
Climate change
Economics
International cooperation
Abatement
Uncertainty
Costs and benefits
Multi-agent model
Perceived value
International environmental agreements
Attractiveness

Cite this

Bargiacchi, R. (2006). Modelling and testing behavior in applications to climate change. Tilburg: CentER, Center for Economic Research.
Bargiacchi, R.. / Modelling and testing behavior in applications to climate change. Tilburg : CentER, Center for Economic Research, 2006. 195 p.
@phdthesis{81ad891ad58b4eb6af6aac538e8cb04a,
title = "Modelling and testing behavior in applications to climate change",
abstract = "ROSSELLA BARGIACCHI starts her concluding chapter as follows. It has been our choice in this work to investigate from an economic perspective the question of the optimal extent of climate change prevention. We have therefore chosen an abstract approach to analyze the problem of giving proper ¿rational¿ foundation to the choice of abatement targets, taking into account relevant cognitive and cooperative issues that characterize the climate change problem. The definition of 'optimal' abatement targets involves two conceptually different kinds of economic issues: determining the value of prevention on one side; and implementing international environmental agreements on the other hand. These two issues are deeply correlated: in the case of climate change, the perceived value of prevention for one policy actor depends among other things also on the degree of coordination expected at the international level; similarly, the attractiveness of cooperation depends crucially on the perceived costs and benefits from prevention. Methodologically, however, determining the value of prevention involves the use of very different instruments and concepts than the discussion on international cooperation. For this reason the content of the dissertation can be divided into two parts. Part one is made up by chapters 1 to 3 and it is dedicated to one-agent problems under uncertainty. Part two to is made up by chapters 4 and 5 and concentrates on multi-agents models useful for analyzing the issue of international cooperation.",
author = "R. Bargiacchi",
note = "Series: CentER Dissertation Series Volume: 164",
year = "2006",
language = "English",
isbn = "9056681648",
series = "CentER Dissertation Series",
publisher = "CentER, Center for Economic Research",
school = "Tilburg University",

}

Bargiacchi, R 2006, 'Modelling and testing behavior in applications to climate change', Doctor of Philosophy, Tilburg University, Tilburg.

Modelling and testing behavior in applications to climate change. / Bargiacchi, R.

Tilburg : CentER, Center for Economic Research, 2006. 195 p.

Research output: ThesisDoctoral Thesis

TY - THES

T1 - Modelling and testing behavior in applications to climate change

AU - Bargiacchi, R.

N1 - Series: CentER Dissertation Series Volume: 164

PY - 2006

Y1 - 2006

N2 - ROSSELLA BARGIACCHI starts her concluding chapter as follows. It has been our choice in this work to investigate from an economic perspective the question of the optimal extent of climate change prevention. We have therefore chosen an abstract approach to analyze the problem of giving proper ¿rational¿ foundation to the choice of abatement targets, taking into account relevant cognitive and cooperative issues that characterize the climate change problem. The definition of 'optimal' abatement targets involves two conceptually different kinds of economic issues: determining the value of prevention on one side; and implementing international environmental agreements on the other hand. These two issues are deeply correlated: in the case of climate change, the perceived value of prevention for one policy actor depends among other things also on the degree of coordination expected at the international level; similarly, the attractiveness of cooperation depends crucially on the perceived costs and benefits from prevention. Methodologically, however, determining the value of prevention involves the use of very different instruments and concepts than the discussion on international cooperation. For this reason the content of the dissertation can be divided into two parts. Part one is made up by chapters 1 to 3 and it is dedicated to one-agent problems under uncertainty. Part two to is made up by chapters 4 and 5 and concentrates on multi-agents models useful for analyzing the issue of international cooperation.

AB - ROSSELLA BARGIACCHI starts her concluding chapter as follows. It has been our choice in this work to investigate from an economic perspective the question of the optimal extent of climate change prevention. We have therefore chosen an abstract approach to analyze the problem of giving proper ¿rational¿ foundation to the choice of abatement targets, taking into account relevant cognitive and cooperative issues that characterize the climate change problem. The definition of 'optimal' abatement targets involves two conceptually different kinds of economic issues: determining the value of prevention on one side; and implementing international environmental agreements on the other hand. These two issues are deeply correlated: in the case of climate change, the perceived value of prevention for one policy actor depends among other things also on the degree of coordination expected at the international level; similarly, the attractiveness of cooperation depends crucially on the perceived costs and benefits from prevention. Methodologically, however, determining the value of prevention involves the use of very different instruments and concepts than the discussion on international cooperation. For this reason the content of the dissertation can be divided into two parts. Part one is made up by chapters 1 to 3 and it is dedicated to one-agent problems under uncertainty. Part two to is made up by chapters 4 and 5 and concentrates on multi-agents models useful for analyzing the issue of international cooperation.

M3 - Doctoral Thesis

SN - 9056681648

T3 - CentER Dissertation Series

PB - CentER, Center for Economic Research

CY - Tilburg

ER -

Bargiacchi R. Modelling and testing behavior in applications to climate change. Tilburg: CentER, Center for Economic Research, 2006. 195 p. (CentER Dissertation Series).