<div class="csl-bib-body">
<div class="csl-entry">Yegorov, Y., Grass, D., Mirescu, M., Feichtinger, G., & Wirl, F. (2020). Growth and Collapse of Empires: A Dynamic Optimization Model. <i>Journal of Optimization Theory and Applications</i>, <i>186</i>(2), 620–643. https://doi.org/10.1007/s10957-020-01719-5</div>
</div>
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dc.identifier.issn
0022-3239
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/140617
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dc.description.abstract
This paper addresses the spatial evolution of countries accounting for economics, geography and (military) force. Economic activity is spatially distributed following the AK model with the output being split into consumption, investment, transport costs and military (for defense and expansion). The emperor controls the military force subject to the constraints imposed by the economy but also the geography (transport costs, border length) and the necessity to satisfy the needs of the population. The border changes depending on how much pressure the emperor can muster to counter the pressure of neighboring countries. The resulting dynamic process determines a country's size over time. The model leads to multiple steady
states, large empires and small countries being separated by a threshold, and collapse. The resulting patterns can be linked to historical observations.
en
dc.language.iso
en
-
dc.publisher
SPRINGER/PLENUM PUBLISHERS
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dc.relation.ispartof
Journal of Optimization Theory and Applications
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dc.subject
Applied Mathematics
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dc.subject
dynamic optimization
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dc.subject
Control and Optimization
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dc.subject
geography
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dc.subject
Management Science and Operations Research
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dc.subject
growth model
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dc.subject
empire
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dc.subject
defense.
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dc.title
Growth and Collapse of Empires: A Dynamic Optimization Model
en
dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
620
-
dc.description.endpage
643
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dc.type.category
Original Research Article
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tuw.container.volume
186
-
tuw.container.issue
2
-
tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
tuw.researchTopic.id
A4
-
tuw.researchTopic.id
C6
-
tuw.researchTopic.name
Mathematical Methods in Economics
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tuw.researchTopic.name
Modelling and Simulation
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tuw.researchTopic.value
60
-
tuw.researchTopic.value
40
-
dcterms.isPartOf.title
Journal of Optimization Theory and Applications
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tuw.publication.orgunit
E105-04 - Forschungsbereich Variationsrechnung, Dynamische Systeme und Operations Research
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tuw.publisher.doi
10.1007/s10957-020-01719-5
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dc.identifier.eissn
1573-2878
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dc.description.numberOfPages
24
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tuw.author.orcid
0000-0001-8815-0203
-
wb.sci
true
-
wb.sciencebranch
Mathematik
-
wb.sciencebranch
Wirtschaftswissenschaften
-
wb.sciencebranch.oefos
1010
-
wb.sciencebranch.oefos
5020
-
wb.facultyfocus
Wirtschaftsmathematik und Stochastik
de
wb.facultyfocus
Mathematical Methods in Economics and Stochastics
en
wb.facultyfocus.faculty
E100
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item.openairetype
research article
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item.cerifentitytype
Publications
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item.grantfulltext
none
-
item.languageiso639-1
en
-
item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
-
item.fulltext
no Fulltext
-
crisitem.author.dept
E105-03 - Forschungsbereich Ökonomie
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crisitem.author.dept
TU Wien
-
crisitem.author.dept
E105 - Institut für Stochastik und Wirtschaftsmathematik
-
crisitem.author.dept
E370 - Institut für Energiesysteme und Elektrische Antriebe
-
crisitem.author.parentorg
E105 - Institut für Stochastik und Wirtschaftsmathematik
-
crisitem.author.parentorg
E100 - Fakultät für Mathematik und Geoinformation
-
crisitem.author.parentorg
E350 - Fakultät für Elektrotechnik und Informationstechnik