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This chapter investigates productivity and cost patterns in the all-cargo US air transport sector. We empirically test the productivity growth influence of changes in unexplained technology, air operations movement characteristics, and factor input prices. Findings show productivity trends depicting negative growth for the 1993–2001 sample, then shifting measurably such that productivity trends depict positive growth for the 2002–2014 sample. The post 2001 growth was fueled by changes in unexplained technological advancements. We interpret this finding as an indication of the importance of technological innovation as a performance enhancer in this transport sector. Findings also reveal a lack of productivity change associated with changes in input prices and movement characteristics. We interpret input price findings as indicating increases in factor input prices such as wages and fuel prices are commensurate with enhanced labor and fuel productivity. The movement characteristic findings are attributable to a lack of sustained increases in load factors, stage length, network size and carrying more volume over the network (density).

Existing studies about airline productivity and cost competitiveness are focusing on combination carriers, transporting both passengers and cargo in the same aircraft and with the same inputs. Scientific research about the cost structure and productive performance of all-cargo carriers is very limited. However, the importance of air cargo and express transport in our globalized economy, the high volatility of all-cargo carriers (especially since the 2008 economic crisis), and the success of integrators show the need for more scientific attention to this industry. This chapter aims at benchmarking the productivity and cost competitiveness of US integrated and non-integrated cargo carriers, based on total factor productivity and unit cost competitiveness analyses. The results unveil a positive correlation between productivity on the one hand and the size of the carrier and its average stage length on the other hand, indicating economies of scale. Correcting the results for such factors beyond managerial control and input prices allows us to measure the impact of the crisis and the consequences for the management of the individual carriers.

The continued rise in e-commerce has contributed to recent growth of the air cargo industry. In addition, international demand for low volume-high value products as well as time-sensitive goods continues to enhance demand for air cargo services. This volume consists of 11 chapters exploring whether this transportation sector has positioned itself to successfully take advantage of the economic opportunities associated with changing global demand for goods and demand for timely transportation services. Areas of analysis cover costs and competitiveness, shipper services and air cargo demand, along with international competition and economic development. Employing various empirical techniques and theoretical perspectives, these chapters help the reader to understand the methods by which air cargo companies provide efficient and increasingly affordable services, and also how the use of these services enhances economic growth and development.

Supply chains deliver goods and services between shippers and receivers, covering collection, transportation, distribution as well as their handling and storage in between. In particular, transportation services are carried out by different transport modes. In some modern supply chains, different categories of air cargo carriers – combinations, freighter-only, and/or integrators – provide critical transport services.

This chapter develops a methodology for estimating the performance of supply chains served by an air cargo carrier network. The methodology is based on indicators of infrastructure use, technical/technological level, operational factors, economic factors, and environmental performance. This proposed methodology is applied to estimate performance of supply chains served by an integrated air cargo carrier – FedEx Express – operating a single hub in the US domestic air network. Results indicate that the methodology may be useful for estimation of overall supply chain performance under the condition that relevant data are available.

The increasing growth in global trade is promoting economic diversification through efficient air cargo logistics. The overdependence of Nigeria on mono-product export, mainly crude oil, hinder the successful implementation of economic diversification policy. However, air cargo export plays a significant role in any successful economic diversification policy. Despite the importance of air export of cargo to the economy, literature is scarce on the role of air cargo export in economic diversification studies. This chapter assesses the performance of air cargo export by highlighting its inherent opportunity to support economic diversification in Nigeria. The analysis draws on air cargo export data by volume, types, and airline market share in Nigeria. Regression analysis established a significant relationship between Nigeria's gross domestic product (GDP) and air cargo export. Johansen cointegration test showed that both short and long-run cointegration exists between air cargo and GDP in Nigeria. An increasing trend in Nigeria's air cargo export volume indicates the significance of air cargo export to support economic diversification policy in Nigeria. Airlines market shares have British Airways, Virgin Atlantic, Emirates, and Saudi Air dominating the exportation of cargo in Nigeria. Agricultural products dominate the air cargo export with 34.6% volume, followed by manufacturing products (23.6%). An all-inclusive policy that promotes international trade for the economic emancipation of Nigeria through diversification into agriculture and manufacturing sectors is necessary.

Assessing air cargo strategy from an airport's perspective is relatively novel, and it seems little attention has been paid to this research area. This chapter will address this research gap by introducing an Airport Cargo Strategy Canvas, designed to help build cargo strategies for individual airports.

The Airport Cargo Strategy Canvas can be used as a tool to analyze and improve the air cargo strategy of an airport. The first part of this chapter will explain the different components of the Airport Cargo Strategy Canvas more in detail. The horizontal axis on the canvas differentiates between exogenous and endogenous drivers of airport competitiveness. The vertical axis distinguishes between the airport product and the airport market. The canvas also considers potential disruptors and principal shareholders' objectives. The different components of the canvas allow the analyst to dig into the main features and differentiators of respective airports. The canvas might also be helpful to structure and compare the strategic components and framework of their own or competitors' cargo strategies.

In the second part, the Airport Cargo Strategy Canvas was applied to Brussels Airport to analyze its cargo strategy. The canvas showed several strengths and weaknesses, opportunities and threats in its current cargo strategy. The completed canvas will let Brussels Airport's executives explore and analyze the strategy of their main competitors and peers' strategy and help them identify potential gaps in their strategies.