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Explaining structural change: actions and transformations

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  • Cardinale, Ivano
  • Scazzieri, Roberto

Abstract

Theories of structural change identify the range of transformations that are possible under given economic structures. However, in order specify a path of change out of those which are possible, these theories need to make explicit or implicit assumptions about actions taking place within structures. This, we argue, suggests that (i) these theories can identify potential, but not actual paths of change; and (ii) structural change is to some degree open-ended, because existing structures open up a range of possibilities but do not determine the specific actions taken therein. In order to explain which path of structural change is activated under specific historical conditions, we need to study how actual actions take place within structures. The paper suggests a way to do so, pointing to the interface between theory, which highlights possibilities for structural change, and history, which may ‘close’ such open-endedness in different ways depending on context.

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  • Cardinale, Ivano & Scazzieri, Roberto, 2019. "Explaining structural change: actions and transformations," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 393-404.
    • Handle: RePEc:eee:streco:v:51:y:2019:i:c:p:393-404
    DOI: 10.1016/j.strueco.2018.12.002
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    References listed on IDEAS

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    Cited by:

    1. Cardinale, Ivano, 2022. "On means and ends in structural economic analysis: Broadening the field of enquiry," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 450-457.
    2. Roberto Scazzieri, 2022. "Decomposability and Relative Invariance: the Structural Approach to Network Complexity and Resilience," Networks and Spatial Economics, Springer, vol. 22(3), pages 635-657, September.
    3. Ioanna Kastelli & Lukasz Mamica & Keun Lee, 2023. "New perspectives and issues in industrial policy for sustainable development: from developmental and entrepreneurial to environmental state," Review of Evolutionary Political Economy, Springer, vol. 4(1), pages 1-25, April.
    4. Di Tommaso, Marco R. & Prodi, Elena & Pollio, Chiara & Barbieri, Elisa, 2023. "Conceptualizing and measuring “industry resilience”: Composite indicators for postshock industrial policy decision-making," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    5. Ivano Cardinale & Aura Reggiani & Roberto Scazzieri, 2022. "Vulnerability, Resilience and Complex Structures: a connectivity perspective," Networks and Spatial Economics, Springer, vol. 22(3), pages 409-413, September.
    6. Norbu, Nyingtob Pema & Tateno, Yusuke & Bolesta, Andrzej, 2021. "Structural transformation and production linkages in Asia-Pacific least developed countries: An input-output analysis," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 510-524.
    7. Cardinale, Ivano & Landesmann, Michael, 2022. "Generalising the political economy of structural change: A Structural Political Economy approach," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 546-558.
    8. Baranzini, Mauro L. & Mirante, Amalia, 2021. "Pasinetti's theorem: A narrow escape, for what was to become an inexhaustible research programme," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 470-481.
    9. Cardinale, Ivano, 2024. "Collective objectives, particular objectives, and structural conditions: On Pasinetti's natural economic system and the “institutional problem”," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 202-210.
    10. Davide Antonioli & Alberto Marzucchi & Marco Modica, 2022. "Resilience, Performance and Strategies in Firms’ Reactions to the Direct and Indirect Effects of a Natural Disaster," Networks and Spatial Economics, Springer, vol. 22(3), pages 541-565, September.
    11. Markaki, Maria & Papadakis, Stelios, 2024. "Productive Structure Optimization under Macroeconomic Constraints based on Input-Output Analysis," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 91-105.
    12. Barbieri, Elisa & Huang, Manli & Pi, Shenglei & Pollio, Chiara & Rubini, Lauretta, 2021. "Investigating the linkages between industrial policies and M&A dynamics: Evidence from China," China Economic Review, Elsevier, vol. 69(C).

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