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Systemic Innovation Areas for Heritage-Led Rural Regeneration: A Multilevel Repository of Best Practices: A multilevel repository of best practices

  • University of Bologna

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)
7 Downloads (Pure)

Abstract

This paper presents the result of the analysis of the data gathered from 20 Role Models (RM) case studies regarding their successful heritage-led rural regeneration models. For the study and comparison of the narratives of these Role Models two tools were used: the Community Capitals Framework, which studied the transference of capitals in each process and the identification of six Systemic Innovation Areas that allow this capital transference. A multilevel repository of best practices has been developed allowing the identification of common features, mechanisms for mobilisation of capitals and required resources that will facilitate the replication in other rural areas. The results of this work support the acknowledgement of the contribution of culture, together with cultural and natural heritage, to economic growth, social inclusion and environmental sustainability in rural areas reinforcing the role of culture as the fourth pillar of sustainable development.
Original languageEnglish
Article number5069
Pages (from-to)5069
Number of pages1
JournalSustainability
Volume13
Issue number9
DOIs
Publication statusPublished - 30 Apr 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities
  3. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Heritage-led regeneration
  • Community capitals
  • Rural development
  • Natural and cultural heritage

Project and Funding Information

  • Project ID
  • info:eu-repo/grantAgreement/EC/H2020/776465/EU/Rural regeneration through systemic heritage-led strategies/RURITAGE
  • Funding Info
  • This research was funded by H2020, grant number 776465.

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