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The purpose of this paper is to examine an issue of critical importance to America’s national security. The Civil Reserve Air Fleet (CRAF) is a public/private partnership between US air carriers and the Department of Defense (DOD) for the provision of contingency airlift services to the military in times of national need. Formed in 1951, the CRAF has only been activated twice, but it has continued to be a source of emergency air transportation should the nation require resources beyond those available from the US Air Force. Sweeping changes occurring in global trade, commercial aviation, national defense policy and foreign relations suggest that changes will be needed to maintain the CRAF as a strategic defense transportation resource.

This paper examines the long-standing national policy of relying on commercial interests to provide contingency transportation to the DOD in wartime. The CRAF will be singled out for closer examination in light of environmental changes occurring in the airline industry, international trade and global threats to the nation. The purpose of this analysis is to then assess the partnership’s ability to remain relevant in an uncertain future.

First, commercial cargo aircraft are downsizing thereby becoming less useful to the DOD. Second, there is no new wide-body military airlifter on the horizon. Third, threats from hostile nations are becoming more indirect and subtle, requiring planners to think “outside the box” when assessing the need for strategic airlift over the next 20-50 years.

The CRAF has not fundamentally changed since its inception in 1951. The time has come to reexamine the partnership to ensure that it remains America’s emergency lifeline.

Acquisition of products and services from contractors consumes about a quarter of discretionary spending governmentwide and is a key function in many federal agencies. In fiscal year 2005 alone, federal government contracting involved over $388 billion. The work of the government is increasingly being performed by contractors, including in emergency and large-scale logistics operations such as hurricane response and recovery and the war in Iraq. Many agencies rely extensively on contractors to carry out their basic missions. The magnitude of the government's spending and dependence on contractors make it imperative that this function be performed as efficiently and effectively as possible. Yet, acquisition issues are heavily represented on GAO's list of government highrisk areas. In the 21st century, the government needs to reexamine and evaluate its strategic and tactical approaches to acquisition. To identify and discuss the key issues confronting the federal acquisition community, the Comptroller General hosted a forum in July 2006 that brought together acquisition experts from inside and outside the government. Participants shared their insights on challenges and opportunities for improving federal acquisition in an environment of increasing reliance on contractors and severe fiscal constraint.

Boeing is forecasting air cargo growth during the 1980 decade to increase at an annual rate between 5% and 8%. This could result in almost doubling the current business by 1990 (currently 25 billion annual ton‐miles and $10 billion annual revenue).

The improvement in the efficiency of public management leads to an increase in the quality of services, boosting confidence in institutions and thus generating a multiplier effect. This paper aims to update the literature on the data envelopment analysis (DEA), which uses a frontier methodology, for measuring the efficiency applied to the defence sector.

Two main research areas are related through this study: Defence Economics and Efficiency and Productivity Analysis. The frontier methods for measuring technical efficiency are grouped into parametric, non-parametric and semi-parametric. The DEA literature review in the selected sector allows to identify three main fields of work that are discussed in detail.

Existing empirical research has hardly applied bootstrapping methods to remove bias from the estimates. No empirical work has applied an analysis of efficiency determinants by the inclusion of exogenous variables.

The managerial implications of efficiency are numerous. A line of research is proposed to examine the extent to which efficiency improvements have an impact on reputation and, therefore, on the image of and confidence in institutions. The link between Defence Economics and Corruption Economics is also considered.

La mejora de la eficiencia de la gestión pública conduce a un aumento de la calidad de los servicios, impulsando la confianza en las instituciones y generando así un efecto multiplicador. El presente trabajo tiene por objeto actualizar la literatura sobre la metodología frontera de medición de la eficiencia DEA, aplicada al sector de la Defensa.

A través de este estudio, se relacionan dos áreas principales de investigación: Economía de la Defensa y Análisis de Eficiencia y Productividad. Los métodos frontera para medir la eficiencia técnica se agrupan en paramétricos, no paramétricos y semiparamétricos. La revisión de la literatura DEA en el sector seleccionado permite identificar tres campos de trabajo principales que se discuten en detalle.

La investigación empírica existente apenas ha aplicado métodos bootstrap para eliminar el sesgo de las estimaciones. Ningún trabajo empírico ha aplicado un análisis de determinantes de la eficiencia mediante la inclusión de variables exógenas.

Las repercusiones de la eficiencia en la gestión son numerosas. Se propone una línea de investigación para examinar en qué medida las mejoras de la eficiencia repercuten en la reputación y, por consiguiente, en la imagen y la confianza en las instituciones. También se considera el vínculo entre la Economía de la Defensa y la Economía de la Corrupción.

This chapter presents a data envelopment analysis (DEA) based relative financial strength (RFS) indicator using accounting data that is predictive of stock market performance of public firms. Such an indicator is indispensable in the fundamental analysis of firms for stock portfolio selections. This methodology requires optimally configuring inputs and outputs for the DEA model such that the strength indicator is maximally correlated with observed stock returns. This optimized RFS indicator providing the maximum predictive strength of stock returns is determined by factors such as asset utilization, leverage, profitability, and growth rates, in addition to the well-known factor, book-to-market ratio. Computational evidence is provided using more than 800 firms covering all major sectors of the U.S. stock market. Using quarterly financial data, we employ the RFS indicator to devise portfolios that yield superior financial performance relative to using portfolios of sector-based funds.