Home > Research > Publications & Outputs > Improving estimates of the economic effects of ...
View graph of relations

Improving estimates of the economic effects of climate change in integrated assessment models

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Published

Standard

Improving estimates of the economic effects of climate change in integrated assessment models. / Prieg, Lydia; Yumashev, Dmitry.

Environmental Assessments: Scenarios, Modelling and Policy. Cheltenham : Edward Elgar, 2020. p. 51–67.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Harvard

Prieg, L & Yumashev, D 2020, Improving estimates of the economic effects of climate change in integrated assessment models. in Environmental Assessments: Scenarios, Modelling and Policy. Edward Elgar, Cheltenham, pp. 51–67. https://doi.org/10.4337/9781788976879.00013

APA

Prieg, L., & Yumashev, D. (2020). Improving estimates of the economic effects of climate change in integrated assessment models. In Environmental Assessments: Scenarios, Modelling and Policy (pp. 51–67). Edward Elgar. https://doi.org/10.4337/9781788976879.00013

Vancouver

Prieg L, Yumashev D. Improving estimates of the economic effects of climate change in integrated assessment models. In Environmental Assessments: Scenarios, Modelling and Policy. Cheltenham: Edward Elgar. 2020. p. 51–67 https://doi.org/10.4337/9781788976879.00013

Author

Prieg, Lydia ; Yumashev, Dmitry. / Improving estimates of the economic effects of climate change in integrated assessment models. Environmental Assessments: Scenarios, Modelling and Policy. Cheltenham : Edward Elgar, 2020. pp. 51–67

Bibtex

@inbook{384bd2e3b48146d6974d379556fd4cf0,
title = "Improving estimates of the economic effects of climate change in integrated assessment models",
abstract = "Integrated assessment models (IAMs) are cross-disciplinary tools that explore how economic activity interacts with the environment and vice versa. They differ in their design and scope and are frequently used by the Intergovernmental Panel on Climate Change (IPCC), national environmental agencies and others to assess the economic consequences of climate change. One particular group of IAMs goes as far as estimating the total economic effect of climate change, which includes three essential components: costs of emissions abatement, costs of adaptation to changing climate, and residual impacts on the economy. The most prominent models in this group, the Dynamic Integrated Model of Climate and the Economy (DICE), Climate Framework for Uncertainty, Negotiation and Distribution (FUND) and Policy Analysis of the Greenhouse Effect (PAGE), follow a commonly adopted approach to use empirical damage functions as a way of translating climate-driven environmental changes into the economic impacts, which could be either costs or benefits. The chapter explores how damage functions are constructed and calibrated in these three IAMs by examining model documentation, and summarizes the limitations of the current approaches. It then reflects on how damage functions could be improved in order to help build confidence in these IAMs, and ultimately to provide better estimates of the impacts of climate change for decision-makers and academics.",
keywords = "integrated assessment modelling, climate impacts",
author = "Lydia Prieg and Dmitry Yumashev",
year = "2020",
month = aug,
day = "13",
doi = "10.4337/9781788976879.00013",
language = "English",
isbn = "9781788976862",
pages = "51–67",
booktitle = "Environmental Assessments: Scenarios, Modelling and Policy",
publisher = "Edward Elgar",

}

RIS

TY - CHAP

T1 - Improving estimates of the economic effects of climate change in integrated assessment models

AU - Prieg, Lydia

AU - Yumashev, Dmitry

PY - 2020/8/13

Y1 - 2020/8/13

N2 - Integrated assessment models (IAMs) are cross-disciplinary tools that explore how economic activity interacts with the environment and vice versa. They differ in their design and scope and are frequently used by the Intergovernmental Panel on Climate Change (IPCC), national environmental agencies and others to assess the economic consequences of climate change. One particular group of IAMs goes as far as estimating the total economic effect of climate change, which includes three essential components: costs of emissions abatement, costs of adaptation to changing climate, and residual impacts on the economy. The most prominent models in this group, the Dynamic Integrated Model of Climate and the Economy (DICE), Climate Framework for Uncertainty, Negotiation and Distribution (FUND) and Policy Analysis of the Greenhouse Effect (PAGE), follow a commonly adopted approach to use empirical damage functions as a way of translating climate-driven environmental changes into the economic impacts, which could be either costs or benefits. The chapter explores how damage functions are constructed and calibrated in these three IAMs by examining model documentation, and summarizes the limitations of the current approaches. It then reflects on how damage functions could be improved in order to help build confidence in these IAMs, and ultimately to provide better estimates of the impacts of climate change for decision-makers and academics.

AB - Integrated assessment models (IAMs) are cross-disciplinary tools that explore how economic activity interacts with the environment and vice versa. They differ in their design and scope and are frequently used by the Intergovernmental Panel on Climate Change (IPCC), national environmental agencies and others to assess the economic consequences of climate change. One particular group of IAMs goes as far as estimating the total economic effect of climate change, which includes three essential components: costs of emissions abatement, costs of adaptation to changing climate, and residual impacts on the economy. The most prominent models in this group, the Dynamic Integrated Model of Climate and the Economy (DICE), Climate Framework for Uncertainty, Negotiation and Distribution (FUND) and Policy Analysis of the Greenhouse Effect (PAGE), follow a commonly adopted approach to use empirical damage functions as a way of translating climate-driven environmental changes into the economic impacts, which could be either costs or benefits. The chapter explores how damage functions are constructed and calibrated in these three IAMs by examining model documentation, and summarizes the limitations of the current approaches. It then reflects on how damage functions could be improved in order to help build confidence in these IAMs, and ultimately to provide better estimates of the impacts of climate change for decision-makers and academics.

KW - integrated assessment modelling

KW - climate impacts

U2 - 10.4337/9781788976879.00013

DO - 10.4337/9781788976879.00013

M3 - Chapter

SN - 9781788976862

SP - 51

EP - 67

BT - Environmental Assessments: Scenarios, Modelling and Policy

PB - Edward Elgar

CY - Cheltenham

ER -