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Inferring Networks of Interdependent Labor Skills to Illuminate Urban Economic Structure

1
School of Complex Adaptive Systems, Arizona State University, Tempe, AZ 85282, USA
2
Schar School of Policy and Government, George Mason University, Fairfax, VA 22201, USA
*
Author to whom correspondence should be addressed.
Entropy 2020, 22(10), 1078; https://doi.org/10.3390/e22101078
Received: 28 August 2020 / Revised: 23 September 2020 / Accepted: 24 September 2020 / Published: 25 September 2020
(This article belongs to the Special Issue Information Theory in Complex Networks)
Cities are among the best examples of complex systems. The adaptive components of a city, such as its people, firms, institutions, and physical structures, form intricate and often non-intuitive interdependencies with one another. These interdependencies can be quantified and represented as links of a network that give visibility to otherwise cryptic structural elements of urban systems. Here, we use aspects of information theory to elucidate the interdependence network among labor skills, illuminating parts of the hidden economic structure of cities. Using pairwise interdependencies we compute an aggregate, skills-based measure of system “tightness” of a city’s labor force, capturing the degree of integration or internal connectedness of a city’s economy. We find that urban economies with higher tightness tend to be more productive in terms of higher GDP per capita. However, related work has shown that cities with higher system tightness are also more negatively affected by shocks. Thus, our skills-based metric may offer additional insights into a city’s resilience. Finally, we demonstrate how viewing the web of interdependent skills as a weighted network can lead to additional insights about cities and their economies. View Full-Text
Keywords: urban science; regional science; cities; workforce; resilience; Panarchy; information theory; interdependence; co-occurrence urban science; regional science; cities; workforce; resilience; Panarchy; information theory; interdependence; co-occurrence
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MDPI and ACS Style

Shutters, S.T.; Waters, K. Inferring Networks of Interdependent Labor Skills to Illuminate Urban Economic Structure. Entropy 2020, 22, 1078. https://doi.org/10.3390/e22101078

AMA Style

Shutters ST, Waters K. Inferring Networks of Interdependent Labor Skills to Illuminate Urban Economic Structure. Entropy. 2020; 22(10):1078. https://doi.org/10.3390/e22101078

Chicago/Turabian Style

Shutters, Shade T., and Keith Waters. 2020. "Inferring Networks of Interdependent Labor Skills to Illuminate Urban Economic Structure" Entropy 22, no. 10: 1078. https://doi.org/10.3390/e22101078

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