Development and conflict in the Balkans: Catch-up and military expenditure

This paper analyses the convergence between countries in relation to the catch-up hypothesis concerning the level of total productivity. The catch-up hypothesis claims that poor countries tend to grow faster than rich countries through the international diffusion of knowledge and technology. We test this hypothesis for the Balkan countries and investigate the effect of military expenditure in the region on productivity growth. The aim is to investigate empirically whether productivity growth has been greater in countries with lower military expenditure, in line with theory. The results obtained show that, overall, improvements in technological change co-exist with deteriorating technical efficiency change and that there is a negative correlation between military expenditure and either total productivity growth and technological change, and a positive, but statistically insignificant, relationship with technical efficiency change. We conclude that economic growth is the key to regional development and that too great a diversion of resources to military commitments can lead to overstretch.     

What Is Known About Defence Research And Development Spill-Overs?

This article surveys the body of available evidence regarding the spill-over effects of defence R&D. It reviews the routes through which defence R&D spills over to the economy with positive externalities – in terms of new products, technologies or processes; the barriers that impede or block such a process; potential negative repercussions, and the measure of such effects. The main conclusion is that the uncertainty of these effects, and the inaccurate appraisal of their value, hardly supports informed decisions concerning defence R&D policies.     

The Gravity of Arms

The aim of this paper is to investigate the determinants of international arms transfers in a gravity model framework. By distinguishing between the decision to export arms (extensive margin) and the value of the arms exported (intensive margin), while also considering its interdependence, is what differentiates this paper from previous research. A theoretically justified gravity model of trade augmented with political and security motives is estimated using a two-stage panel data approach for 104 exporting countries over the period from 1950 to 2007. In addition to the usual gravity variables related to the economic mass of the trading countries and the trade cost factors, the model is extended with political and security factors. The level of democracy in both trading partners, political differences between trading partners and voting similarity with the United States in the UN General Assembly of the countries engaged in trade are the main political factors, whereas the existence of conflicts, military pacts, and embargoes are taken as security motives. The key result indicates that both political and security motives are an important determinant of an arms trade, but their effects on the extensive margin of exports (the decision to order a transfer) differs from their effect on the intensive margin (average value of exports). Moreover, the relative importance of the factors under study has changed since 1989. In the post-cold war period, countries that are less democratic are more likely to export arms, military pacts are less relevant and embargoes play a role.     

A survey of performance issues in defence innovation

This article reviews innovation processes in defence. It analyses the way and the context under which these processes are carried out. The article covers the features of defence goods with impact on innovation, the development of a new good, the institutional arrangements that support these processes and the effect of innovation on industrial market. The analysis helps to identify the causes of facts observed in practice, such as poor performance in terms of product quality, cost or delivery time, as well as to assess potential remedies. Some policy implications, which can be derived from this analysis, are finally outlined.     

Civil-military relations and human security in a post-dictatorship

This article explores current developments in Chile, where since the return to democracy in 1990, the elected authorities have reconfigured the nation’s military resources in favour of four action pillars: peacekeeping and international conflict management, landmine removal and gun disarmament, emergency and catastrophe response, and a concern for human, economic and social rights. Successive defence policies offer a valuable case study for exploring the trade-offs between security, traditional and non-traditional threat management and institutional capabilities. The article argues that human security policymaking is not free from undesired outcomes; specifically, regarding how to reconvene the role of the armed forces when conventional war seems a thing of the past. The paper focuses on the interagency policy implications and the challenges ahead for civilians and the military.     

What are the Effects of Large-scale Violence on Social and Institutional Trust? Using the Civil War Literature to Understand the Case of Mexico, 2006–2012

What is the relationship between drug violence and political attitudes? In this article, we test the relationship between violence and trust using both individual and municipality data for Mexico from 2006 to 12. Using multilevel analysis, we find no support for the thesis that individual experiences with criminal violence drives trust, nor do we find a relationship between levels of violence at the municipio level and trust. However, we do find that perceived threats to individual security leads to less social and institutional trust, but this is independent of personal experience and whether the individual resides in violent communities.     

A O(nm log(U/n)) time maximum flow algorithm

In this paper, we present an O(nm log(U/n)) time maximum flow algorithm. If U = O(n) then this algorithm runs in O(nm) time for all values of m and n. This gives the best available running time to solve maximum flow problems satisfying U = O(n). Furthermore, for unit capacity networks the algorithm runs in O(n^2/3m) time. It is a two‐phase capacity scaling algorithm that is easy to implement and does not use complex data structures. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 511–520, 2000     

A time series analysis of some interrelated logistics performance variables

This paper is a case study. We show how the powerful methods of time series analysis can be used to investigate the interrelationships between Alert Availability, a logistics performance variable, and Flying Hours, an operational requirement, in the presence of a major change in operating procedures and using contaminated data. The system considered is the fleet of C-141 aircraft of the U.S. Air Force. The major change in operating procedures was brought about by what is known as Reliability Centered Maintenance, and the contaminated data were due to anomalies in reporting procedures. The technique used is a combination of transfer function modeling and intervention analysis.