Economics at your fingertips  

Agent-Based Analysis of Industrial Dynamics and Paths of Environmental Policy: The Case of Non-renewable Energy Production in Germany

Frank Beckenbach, Maria Daskalakis and David Hofmann ()
Additional contact information
Frank Beckenbach: Universität Kassel
Maria Daskalakis: Universität Kassel
David Hofmann: Universität Kassel

Computational Economics, 2018, vol. 52, issue 3, No 9, 953-994

Abstract: Abstract This study addresses the difficulties in the transition of advanced market economies towards environmentally—and especially climate-compatible—development paths. It is assumed that standard economic concepts as well as instrument recommendations for treating these problems are not sufficient because agents, markets and political regulation are stylized in a way that neglects essential features of complexity that are at stake. Taking the case of electricity production based on non-renewable resources, this contribution (1) addresses the specificities of this branch of production, (2) considers the relevant industrial dynamics as well as the regulatory status quo in this context, and finally (3) makes an assessment of selected instruments as regards their ecological effectivity and economic efficiency. Against the background of a given regulation path characterized by command and control regulation, the European emission trading system, and transitions in the German energy system, possible future regulation paths and their economic and ecological impacts are specified and evaluated by using agent-based scenario analyses.

Keywords: Electricity market; Agent-based modelling; Evolutionary-economics; Innovation; Emission; Path-dependency (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2

DOI: 10.1007/s10614-017-9773-6

Access Statistics for this article

Computational Economics is currently edited by Hans Amman

More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla ().

Page updated 2020-04-28
Handle: RePEc:kap:compec:v:52:y:2018:i:3:d:10.1007_s10614-017-9773-6