Political influence on civil war mortality rates: The electoral college as a battlefield

This paper employs public choice analysis to explain certain kinds of military decision‐making during the Civil War. Specifically, the political costs and benefits which may have influenced policy with respect to casualty rates in the Union army are considered. A primary empirical finding is that electoral votes per capita are a strong explainer of casualties across Union states, all else equal.     

ALL TOGETHER NOW

Banning Weapons of Mass Destruction, by Frederick N. Mattis. Praeger Security International, 2009. 129 pages, $39.95.     

Defense Firms Adapting to Major Changes in the French R&D Funding System

The structural changes inside the French innovation system have impacted the role of defense firms since the late 1980s. Major changes have affected the defense budget and public R&D funding system in particular. The aim of this article is to understand French defense firms’ repositioning within the National Innovation System (NIS) based on an analysis of their R&D behavior over a long period of time (1987–2010). We show that French defense firms remain major players in the NIS and faced up to these major changes by adapting the funding of their R&D and their research priorities and rolling out new innovation capabilities. Additionally, they developed new innovation models to take advantage of new collaborative partnerships developed for civil and military markets.     

CALLING FOR ACTION

International Atomic Energy Agency (IAEA) safeguards are under more stress today than at any time in their history. Compliance concerns, a shortage of resources and technology, and growing responsibilities threaten to undermine the effectiveness and credibility of this vital and fundamental pillar of the nonproliferation regime. To address this challenge, the United States recently launched the Next Generation Safeguards Initiative. The goal of this initiative is to ensure the IAEA makes the fullest possible use of its existing authority to prevent the diversion of safeguarded material and to investigate suspicious activities. The initiative will advance state-of-the-art technology, foster the development of a new generation of safeguards experts, and promote technology collaborations and safeguards-conscious infrastructure in states using or pursuing nuclear power. Although it has a domestic focus, the initiative's intent is to catalyze a much broader commitment to international safeguards in partnership with other governments and the IAEA.     

Continuous sampling plans for markov-dependent production processes

This article discusses the behavior of three continuous sampling plans: continuous sampling plan 1 (CSP 1) and continuous sampling plan 2 (CSP 2) developed by Dodge [5] and Dodge and Torrey [7], and multilevel continuous sampling plan 2 (MLP 2) developed by Lieberman and Solomon [11], when the quality of successive units in a continuous production process follows a two-state time-homogeneous Markov chain. We first derive the average outgoing quality (AOQ) expressions of these plans. Exact procedures for determining the average outgoing quality limit (AOQL) can be obtained only for CSP 1. For CSP 2 and MLP 2 plans, iterative procedures have been used to obtain the AOQL contours. For these plans, it is assumed that the serial correlation coefficient between the two consecutive random variables of the Markov chain is known. In addition, estimation procedures for the coefficient are given. We show that if the serial correlation coefficient of the Markov chain is positive (negative), the AOQL is increased (decreased) as compared to the case when the successive units in the production process follows a Bernoulli pattern. Let r denote the number of production units examined in succession which are found to be of good quality and k denote the inverse of the sampling fraction employed when quality is good. Then if r and k are sufficiently small, it is observed from the graph that, for small departures of the serial correlation coefficient from zero, the AOQL values do not differ significantly for each of the three plans; whereas for sufficiently large values of r and k, the AOQL values differ significantly. Various aspects of these plans, such as their operating characteristics 2 (OC 2) and the serial correlation coefficient, are discussed.     

China's Global Equity Oil Investments: Economic and Geopolitical Influences

In this article, we construct and analyze an original database of overseas Chinese equity oil investments (EOI) in order to assess the relative importance of economic and geopolitical factors in determining the type of countries that are most likely to receive those investments. We find that China's national oil companies (NOCs) choose to make considerable investments in certain oil rich countries while ignoring others. We develop and examine ‘economic opportunity’ and ‘geopolitical relevance’ explanations of Chinese EOI. The economic explanation assumes that Chinese oil companies operate autonomously despite the fact that they are state owned, and that they seek international experience in countries offering less competition but more risk. The geopolitical explanation suggests that Chinese equity oil investments are developed and coordinated by the central government as part of a geopolitical strategy that is designed to bypass the so-called ‘Malacca Dilemma’ and deepen security ties with oil-rich states through the conduct of oil diplomacy. We argue that Chinese EOI tends to reflect both corporate interests and government priorities, and that it generates more liabilities rather than benefits for China.