Automation and Growth in the Solow Model: Threshold Dynamics, Transitions, and Long-Run Outcomes
Hongsilp Sriket
MPRA Paper from University Library of Munich, Germany
Abstract:
This paper introduces automation into an otherwise standard Solow growth model and shows that doing so can generate qualitatively different global dynamics. By modeling automation as a distinct form of capital and defining aggregate assets as the sum of physical and automation capital, the law of motion for aggregate assets per capita becomes piecewise defined, with a threshold separating a regime without automation from one in which physical and automation capital are jointly accumulated. Depending on the saving rate and structural parameters, the economy may converge to a Solow-type steady state without automation, a mixed-capital steady state with automation, or exhibit unbounded AK-type growth. We identify simple parameter restrictions that govern the feasibility of sustained growth and the long-run adoption of automation. Furthermore, we complement the qualitative analysis with closed-form solutions that provide a tractable and transparent characterization of the model’s full dynamic path.
Keywords: Solow growth model; automation; saving rate; transitional dynamics; threshold dynamics; closed-form solutions (search for similar items in EconPapers)
JEL-codes: E22 O33 O41 (search for similar items in EconPapers)
Date: 2026-01-16
References: Add references at CitEc
Citations:
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/127795/1/MPRA_paper_127795.pdf original version (application/pdf)
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: https://EconPapers.repec.org/RePEc:pra:mprapa:127795
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().