4.7 Article

Predicting innovative growth and demand with proximate human capital: A case study of the Helsinki metropolitan area

Journal

CITIES
Volume 64, Issue -, Pages 9-17

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.cities.2017.01.005

Keywords

Urban planning; Urban geography; Human capital; Innovation; Predictive analytics

Categories

Funding

  1. Helsinki Metropolitan Region Urban Research Program

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Human capital is an essential driver for the growth of national and regional innovation systems. In this study, we can show that also intra-metropolitan innovation clusters locate in, or in proximity to, neighbourhoods with a high level of human capital. Our interpretation of human capital involves an educated, talented, creative and tolerant workforce. Indicators from earlier literature are complemented by identified new propositions. In addition, by using both relative and absolute measures, we conclude that innovations emerge the best in dense and mixed urban structure. After identifying the geography of human capital and innovativeness, we predict also potential growth areas, which could help urban planning of the HMA. The modelling methods used in this study can be implemented and applied in urban studies of other city regions. (C) 2017 Elsevier Ltd. All rights reserved.

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