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Monitoring and evaluation of regional industrial sustainability: Evidence from Italian regions

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  • Arbolino, Roberta
  • Boffardi, Raffaele
  • Lanuzza, Francesco
  • Ioppolo, Giuseppe

Abstract

Industrial sustainability now appears to be moving up the management agenda in many organizations and thus countries, mainly focused on performance achieved at regional level. In this context, government becomes a significant driver of both environmental policy and technology innovation for firms, which are actually innovating their processes for improving the global sustainability of territories. However, these processes exhibit many difficulties linked to the presence of different guidelines, involved stakeholders and objectives in order to ensure a more sustainable territorial development. In order to evaluate industrial sustainability achieved at regional level, we propose a new approach based on a reappraisal of the classical SWOT analysis. By using multivariate analysis methodologies and a wider battery of indicators, this approach identifies homogeneous groups of regions and describes points of strength and weakness points for each one.

Suggested Citation

  • Arbolino, Roberta & Boffardi, Raffaele & Lanuzza, Francesco & Ioppolo, Giuseppe, 2018. "Monitoring and evaluation of regional industrial sustainability: Evidence from Italian regions," Land Use Policy, Elsevier, vol. 75(C), pages 420-428.
    • Handle: RePEc:eee:lauspo:v:75:y:2018:i:c:p:420-428
    DOI: 10.1016/j.landusepol.2018.04.007
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    2. Jianqing Zhang & Song Wang & Peilei Yang & Fei Fan & Xueli Wang, 2020. "Analysis of Scale Factors on China’s Sustainable Development Efficiency Based on Three-Stage DEA and a Double Threshold Test," Sustainability, MDPI, vol. 12(6), pages 1-26, March.
    3. Aurora Carneiro Zen & Bruno Anicet Bittencourt & Jose-Luis Hervas-Oliver & Ronald Rojas-Alvarado, 2022. "Sustainability-Oriented Transition in Clusters: A Multilevel Framework from Induction," Sustainability, MDPI, vol. 14(7), pages 1-19, April.
    4. Yingxue Rao & Min Zhou & Chunxia Cao & Shukui Tan & Yan Song & Zuo Zhang & Deyi Dai & Guoliang Ou & Lu Zhang & Xin Nie & Aiping Deng & Zhuoma Cairen, 2019. "Exploring the quantitive relationship between economic benefit and environmental constraint using an inexact chance-constrained fuzzy programming based industrial structure optimization model," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2199-2220, July.

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