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Learning, unlearning and forgetting processes in industrial districts

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  • Marco Bellandi
  • Erica Santini
  • Claudia Vecciolini

Abstract

This paper proposes a conceptual framework on knowledge accumulation and depletion in industrial districts (IDs). The framework introduces three types of endogenous cognitive processes, namely learning, forgetting and unlearning, affected by internal and external dynamics. Such processes determine the reconfiguration of the ID cognitive structure based on the expansion and contraction of local knowledge. We apply the framework to three empirical cases: the Stoke-on-Trent ceramic ID, the Prato textile ID and the Macerata–Fermo footwear IDs. The empirical analysis describes the reconfiguration of the ID cognitive structure in relation to different cross-boundary relations, such as the introduction of a new policy, technological change and internationalisation. The results inform us that the contraction of some productive specialisations through forgetting may not be just the prelude of decline, but rather a condition fostering the exploration of new learning opportunities within paths of manufacturing recovery.

Suggested Citation

  • Marco Bellandi & Erica Santini & Claudia Vecciolini, 2018. "Learning, unlearning and forgetting processes in industrial districts," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 42(6), pages 1671-1685.
  • Handle: RePEc:oup:cambje:v:42:y:2018:i:6:p:1671-1685.
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    File URL: http://hdl.handle.net/10.1093/cje/bey032
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    Cited by:

    1. Eleonora Cutrini & Federico Ninivaggi, 2024. "Pandemic crisis and firm survival: evidence from the Italian manufacturing industry," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 51(2), pages 265-297, June.
    2. Lombardi, Silvia & Santini, Erica & Vecciolini, Claudia, 2022. "Drivers of territorial servitization: An empirical analysis of manufacturing productivity in local value chains," International Journal of Production Economics, Elsevier, vol. 253(C).
    3. Mei Ren & Caihong Huang & Xiaomin Wang & Wei Hu & Wenxin Zhang, 2019. "Research on the Distribution of Pollution-Intensive Industries and Their Spatial Effects in China," Sustainability, MDPI, vol. 11(19), pages 1-20, September.

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