International trade and cyber conflict: Decomposing the effect of trade on state-sponsored cyber attacks

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Abstract

A state’s decision to engage in cyber operations has important implications for its trade. Successful cyber espionage could yield valuable trade secrets that could boost domestic production and spur economic growth. On the other hand, uncovered cyber operations could invite devastating sanctions that retard economic development. In spite of this, the nexus between trade and cyber attacks has received little attention in the literature. In this article, I explore how a state’s trade relations affect its propensity to engage in cyber attacks. I develop a theoretical framework that links the composition of a state’s trade to its deficit in proprietary information relative to other states. I decompose trade into its inter- and intra-industry components and show that while inter-industry trade is associated with higher incidence of state-sponsored cyber attacks, intra-industry trade has the opposite effect. I also show that these effects are non-monotonic, varying by the share of inter- or intra-industry trade in total trade. The results also show that states that have a heavy concentration of high-tech industries such as aerospace, computers, and pharmaceuticals have a higher propensity to engage in cyber espionage operations. These results are robust to a variety of controls and specifications.

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The building blocks of economic complexity.

César Hidalgo, Ricardo Hausmann (2009)

For Adam Smith, wealth was related to the division of labor. As people and firms specialize in different activities, economic efficiency increases, suggesting that development is associated with an increase in the number of individual activities and with the complexity that emerges from the interactions between them. Here we develop a view of economic growth and development that gives a central role to the complexity of a country's economy by interpreting trade data as a bipartite network in which countries are connected to the products they export, and show that it is possible to quantify the complexity of a country's economy by characterizing the structure of this network. Furthermore, we show that the measures of complexity we derive are correlated with a country's level of income, and that deviations from this relationship are predictive of future growth. This suggests that countries tend to converge to the level of income dictated by the complexity of their productive structures, indicating that development efforts should focus on generating the conditions that would allow complexity to emerge to generate sustained growth and prosperity.