EconPapers    
Economics at your fingertips  
 

Growth and Collapse of Empires: A Dynamic Optimization Model

Yuri Yegorov, Dieter Grass (), Magda Mirescu (), Gustav Feichtinger and Franz Wirl
Additional contact information
Dieter Grass: International Institute for Applied Systems Analysis (IIASA)
Magda Mirescu: University of Vienna

Journal of Optimization Theory and Applications, 2020, vol. 186, issue 2, No 12, 620-643

Abstract: 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.

Keywords: Dynamic optimization; Growth model; Empire; Geography; Defense; 49J15; 91B62; 91B72; 91B72; 91D10; 91D20; 91F10 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10957-020-01719-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
Working Paper: Growth and Collapse of Empires: A Dynamic Optimization Model (2019) Downloads
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: https://EconPapers.repec.org/RePEc:spr:joptap:v:186:y:2020:i:2:d:10.1007_s10957-020-01719-5

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-020-01719-5

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-17
Handle: RePEc:spr:joptap:v:186:y:2020:i:2:d:10.1007_s10957-020-01719-5