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Evaluating the Performance of Smart Cities in the Global Economic Network

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Transforming City Governments for Successful Smart Cities

Part of the book series: Public Administration and Information Technology ((PAIT,volume 8))

Abstract

A substantiated definition of smart cities is urgently required. In this chapter we explore the crossover between Smart City and World City Network literature. We argue that this crossover can contribute to the theoretical and empirical development of smart city literature. We hypothesize that if a city gets smarter than its peers, then it will eventually also hold a stronger position within the global economy. Therefore, we argue that the regional and transnational positioning of cities is conditional to being smart, and where the building of dense and diverse economic network relations becomes essential. To test these assumptions, we carry out geographic and statistical analysis, using on the one hand foreign direct investment (FDI) data between smart cities and other cities of the world; and on the other hand, already available smart city indicators. In this way we try to uncover the network and urban characteristics of smart cities and make recommendations how to improve their competitive position within the world economy.

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Notes

  1. 1.

    http://www.economist.com/debate/days/view/1044

  2. 2.

    http://www.smart-cities.eu/index2.html;http://www.smartcities.eu/download/smart_cities_final_report.pdf

  3. 3.

    http://www.smart-cities.eu/model.html

  4. 4.

    In power–law relationships, sometimes called scale-free networks, a few nodes act as “highly connected hubs,” with a high degree of connectivity (far above the average), while the majority of nodes have low degrees (Barabási 2003).

  5. 5.

    Greenfield data on the other hand represents investments where parent companies start entirely new ventures in foreign countries. Therefore, greenfield investments clearly indicate traceable developments between firms and are therefore useful in studying their impact on regional development.

  6. 6.

    Ucinet/Netdraw (Borgatti et al. 2002)

  7. 7.

    For readers interested in these measures, please see Alderson and Beckfield (2004, pp. 288–25), Irwin and Hughes (1992), and Hannemann and Riddle (2005)

  8. 8.

    Note: The calculations in Table 3.1 include all outward ties and therefore give different rank outcomes than in Table 3.4 which only concern dichotomized (0 and 1) linkages.

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Wall, R., Stavropoulos, S., Edelenbos, J., Pajević, F. (2015). Evaluating the Performance of Smart Cities in the Global Economic Network. In: Rodríguez-Bolívar, M. (eds) Transforming City Governments for Successful Smart Cities. Public Administration and Information Technology, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-03167-5_6

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