Regional economic resilience: the experience of the Italian local labor systems View Full Text


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Article Info

DATE

2017-04-11

AUTHORS

Alessandra Faggian, Roberta Gemmiti, Timothy Jaquet, Isabella Santini

ABSTRACT

After defining the concept of resilience and its application to the regional context, the paper presents a preliminary evaluation of regional economic resilience in the case of the Italian regions. In doing so, we follow the approach by Martin (J Econ Geogr 12:1–32, 2012) and Martin and Sunley (2015) who identify three different dimensions to regional economic resilience: (a) resistance, i.e., the degree of sensitivity or depth of reaction of a regional economy to a recessionary shock; (b) recovery, i.e., the speed and magnitude of the recovery; (c) reorientation and renewal, i.e., the ability of a region to adapt in response to the shock and renew its growth path. The analysis is conducted at the local labor systems (LLS) geographical level and focuses, at this stage, only on the first two dimensions of resilience, i.e., resistance and recovery. The recessionary shock (2009–2010) is defined following the Italian National Statistical Institute approach for which a recession implies a decrease in GDP for three consecutive trimesters. The pre-recessionary period is 2007–2008 and the recovery period 2011 (as a new recession started again in Italy at the end of 2011). The results clearly point at very heterogeneous resilience for the Italian LLS. More... »

PAGES

393-410

References to SciGraph publications

  • 2010-01-14. Measuring Capacities for Community Resilience in SOCIAL INDICATORS RESEARCH
  • 2002-06. Resilience: An Evolutionary Approach to Spatial Economic Systems in NETWORKS AND SPATIAL ECONOMICS
  • 2016-03-11. Human adaptations in food, energy, and water systems in JOURNAL OF ENVIRONMENTAL STUDIES AND SCIENCES
  • 2001-12. From Metaphor to Measurement: Resilience of What to What? in ECOSYSTEMS
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    URI

    http://scigraph.springernature.com/pub.10.1007/s00168-017-0822-9

    DOI

    http://dx.doi.org/10.1007/s00168-017-0822-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1084765266


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