CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
research
Military spending and economic growth in China: a regime-switching analysis
Authors
Barro R. J.
Dimitraki O.
+13 more
Dunne P.
F. Menla Ali
Hendry D. F.
Levine R.
Majeski S. J.
Naughton B.
O. Dimitraki
Orlik T.
Pradhan R. P.
Sala-i-Martin X. X.
Sandler T.
Stroup M. D.
Wang S.
Publication date
26 June 2014
Publisher
'Informa UK Limited'
Doi
Cite
Abstract
This article has been made available through the Brunel Open Access Publishing Fund.This article investigates the impact of military spending changes on economic growth in China over the period 1953 to 2010. Using two-state Markov-switching specifications, the results suggest that the relationship between military spending changes and economic growth is state dependent. Specifically, the results show that military spending changes affect the economic growth negatively during a slower growth-higher variance state, while positively within a faster growth-lower variance one. It is also demonstrated that military spending changes contain information about the growth transition probabilities. As a policy tool, the results indicate that increases in military spending can be detrimental to growth during slower growth-higher growth volatility periods. © 2014 © 2014 The Author(s). Published by Taylor & Francis
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Sustaining member
Brunel University Research Archive
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:bura.brunel.ac.uk:2438/994...
Last time updated on 18/05/2015
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
info:doi/10.1080%2F00036846.20...
Last time updated on 01/04/2019
Sustaining member
Sussex Research Online
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:figshare.com:article/23451...
Last time updated on 05/12/2023