Back to Search Start Over

The Effect of Green Investments in an Agent-Based Climate-Economic Model.

Authors :
Geisendorf, Sylvie
Klippert, Christian
Source :
Environmental Modeling & Assessment; Aug2017, Vol. 22 Issue 4, p323-343, 21p
Publication Year :
2017

Abstract

Climate-economic modeling often relies on macroeconomic integrated assessment models (IAMs) that in general try to capture how the combined system reacts to different policies. Irrespective of the specific modeling approach, IAMs suffer from two notable problems. First, although policies and emissions are dependent on individual or institutional behavior, the models are not able to account for the heterogeneity and adaptive behavior of relevant actors. Second, the models unanimously consider mitigation actions as costs instead of investments: an arguable definition, given that all other expenditures are classified as investments. Both are challenging if the long-term development of climate change and the economy shall be analyzed. This paper therefore proposes a dynamic agent-based model, based on the battle of perspectives approach (Janssen [1]; Janssen and de Vries [2]; Geisendorf [3, 4]) that details the consequences of various behavioral assumptions. Furthermore, expenditures for climate protection, e.g., the transition of the energy system to renewables, are regarded as investments in future technologies with promising growth rates and the potential to incite further growth in adjoining sectors (Jaeger et al. [5]). The paper analyzes how a different understanding of climate protection expenditures changes the system's dynamic and, thus, the basis for climate policy decisions. The paper also demonstrates how erroneous perceptions impact on economic and climate development, underlining the importance to acknowledge heterogeneous beliefs and behavior for the success of climate policy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14202026
Volume :
22
Issue :
4
Database :
Complementary Index
Journal :
Environmental Modeling & Assessment
Publication Type :
Academic Journal
Accession number :
124276638
Full Text :
https://doi.org/10.1007/s10666-017-9549-3