Impacts of neighboring countries on military expenditures: A dynamic spatial panel approach
Autor: | M. Ensar Yeşilyurt, J. Paul Elhorst |
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Přispěvatelé: | Research programme EEF |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Sociology and Political Science
defense burden Spatial interaction 05 social sciences MODELS Control variable ECONOMETRICS Common framework Space (commercial competition) country spillovers spatial interaction 0506 political science DEMOCRACIES Econometric model 0502 economics and business Political Science and International Relations military expenditures 050602 political science & public administration Econometrics Economics SPACE 050207 economics Safety Research |
Zdroj: | Journal of Peace Research, 54(6), 777-790. SAGE Publications Inc. |
ISSN: | 0022-3433 |
Popis: | Using the latest spatial econometric techniques and data pertaining to 144 countries over the period 1993–2007, this article tests and compares four frequently used spatial econometric models and eight matrices describing the mutual relationships among the countries, all within a common framework, which helps clarify the impact of neighboring countries on military expenditures. Furthermore, it utilizes two different data sources. Due to this setup, it provides one of the most thorough spatial analyses of military expenditures so far. Furthermore, it confirms but also challenges the results of several previous studies. Military spending measured as a ratio of GDP in one country indeed depends primarily on the spending of other countries, but in a limited number of cases, it also depends on control variables that can be observed in other countries, among which are the level of GDP, the occurrence of international wars, and the political regime. The most likely specification of the matrix describing the relationships among countries is the first-order binary contiguity matrix based on land or maritime borders, extended to include two-sided relationships among the five countries that are permanent members of the UN Security Council and one-sided relationships to all other countries. Finally, cross-sectional approaches are rejected in favor of dynamic spatial panel data approaches due to their controls for habit persistence, country, and time-period fixed effects. © 2017, © The Author(s) 2017. |
Databáze: | OpenAIRE |
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