IDEAS home Printed from https://ideas.repec.org/a/taf/pocoec/v31y2019i1p52-74.html
   My bibliography  Save this article

Can distortions in agriculture support structural transformation? The case of Uzbekistan

Author

Listed:
  • Lorena Lombardozzi

Abstract

The agricultural sector plays a strategic role in the development process of a country. However, the tools used to trigger economic development are objects of controversy in theory and practice. While neoclassical theory contends that state interventions and protectionism create inefficiencies and sub-optimal allocation of resources, heterodox authors argue that those measures can be instrumental in fostering growth. Uzbekistan has applied heterodox distortive measures in agriculture. This paper investigates the implications of those distortions for the Uzbek economy. I argue that state interventions in agriculture, through surplus extraction and economies of scale, have facilitated investments in added-value industries, driving national structural transformation.

Suggested Citation

  • Lorena Lombardozzi, 2019. "Can distortions in agriculture support structural transformation? The case of Uzbekistan," Post-Communist Economies, Taylor & Francis Journals, vol. 31(1), pages 52-74, January.
    • Handle: RePEc:taf:pocoec:v:31:y:2019:i:1:p:52-74
    DOI: 10.1080/14631377.2018.1458486
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14631377.2018.1458486
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/14631377.2018.1458486?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ahmad Hamidov & Ulan Kasymov & Kakhramon Djumaboev & Carsten Paul, 2022. "Rebound Effects in Irrigated Agriculture in Uzbekistan: A Stakeholder-Based Assessment," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    2. Alisa Ableeva & Guzel Salimova & Rasul Gusmanov & Tatyana Lubova & Oleg Efimov & Almira Farrahetdinova, 2019. "The Role of Agriculture in the Formation of Macroeconomic Indicators of National Economy," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 15(4), pages 183-193.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:pocoec:v:31:y:2019:i:1:p:52-74. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CPCE20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.