Social Capital, Resilience and Accessibility in Urban Systems: a Study on Sweden

John Östh (), Martina Dolciotti (), Aura Reggiani () and Peter Nijkamp
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John Östh: Uppsala University
Martina Dolciotti: Largo Gemelli

Networks and Spatial Economics, 2018, vol. 18, issue 2, No 5, 313-336

Abstract: Abstract Spatial systems appear to exhibit often a complex pattern of socio-economic development, in terms of (un)employment, income, mobility, ethnic composition, and urbanisation rates. Their evolution is co-determined by such factors as: market proximity, labour and housing market developments, public amenities, use of and access to transport systems, socio-economic composition of the population, etc. In addition, a sine qua non for sustaining urban economic growth is the local or regional presence of individual and collective cognitive assets that favour knowledge acquisition and transfer, education, innovation, and creativity. In this context, social capital and spatial accessibility are critical factors. The present paper aims to provide an operational framework for mapping out and understanding the mechanisms which drive spatial systems from the perspective of the resilience of urban areas, in the light of their social capital in combination with accessibility. Particular attention is therefore given to the essential role of social capital and transport accessibility in shaping both the economic development of cities and the spatial pattern in the evolution of cities, in terms of, inter alia, education, age, ethnic composition, (un)employment, and socio-economic poverty. For our quantitative analysis of the Swedish urban system, a quantile regression model is introduced and applied in order to study which urban-economic factors in Sweden determine the different levels of social capital, which are seen here as the fundamental component of the resilience capacity of urban areas.

Keywords: Social capital; Resilience; Accessibility; Quantile regression; Sweden (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (16)

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DOI: 10.1007/s11067-017-9375-9

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