IDEAS home Printed from https://ideas.repec.org/p/brt/depwps/011.html
   My bibliography  Save this paper

Input-Output Analysis of Deindustrialization and Outsourcing

Author

Listed:
  • Erika Stracová

    (University of Economics Bratislava)

  • Richard Kališ

Abstract

The paper deals with the topic of deindustrialization as a process of a decreasing relative importance of manufacturing. While the decrease of manufacturing in major developed and developed economies is undeniable, the developing and newly industrialized economies are starting to experience this phenomenon as well. The results of the paper show that the so-called premature deindustrialization is mainly caused by outsourcing. Furthermore, the data suggest the existence of an upper limit of outsourcing for major developed economies. In these economies, the decrease of manufacturing is more likely caused by other relevant factors. Last but not least, a few transition economies face to a slightly decreasing value of outsourcing on a much lower level. This could be explained by a fragmentation of the entire value chain across the European Union. The empirical results are based on the Input-Output methodology, the observation period of fifteen years from 2000 to 2014 and a sample of 43 countries.

Suggested Citation

  • Erika Stracová & Richard Kališ, 2017. "Input-Output Analysis of Deindustrialization and Outsourcing," Department of Economic Policy Working Paper Series 011, Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava.
    • Handle: RePEc:brt:depwps:011
    as

    Download full text from publisher

    File URL: https://nhf.euba.sk/www_write/files/katedry/khp/working-papers/dep_wp011.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dani Rodrik, 2016. "Premature deindustrialization," Journal of Economic Growth, Springer, vol. 21(1), pages 1-33, March.
    2. Andrew B. Bernard & Valerie Smeets & Frederic Warzynski, 2017. "Rethinking deindustrialization," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 32(89), pages 5-38.
    3. Sandro Montresor & Giuseppe Vittucci Marzetti, 2011. "The deindustrialisation/tertiarisation hypothesis reconsidered: a subsystem application to the OECD7," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 35(2), pages 401-421.
    4. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    5. Mucha-Leszko, Bogumiła, 2016. "Causes and Consequences of Deindustrialization in the Euro Area," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 16(31), pages 1-13, December.
    6. Sukti Dasgupta & Ajit Singh, 2006. "Manufacturing, Services and Premature Deindustrialization in Developing Countries: A Kaldorian Analysis," WIDER Working Paper Series RP2006-49, World Institute for Development Economic Research (UNU-WIDER).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Martin Labaj & Stracova Erika, 2019. "Drivers of Deindustrialisation: Sub-system Analysis of Internationally Fragmented Production Structures," Department of Economic Policy Working Paper Series 018, Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava.
    2. Armando J. Garcia Pires & José Pedro Pontes, 2021. "(De)Industrialization, Technology and Transportation," Open Economies Review, Springer, vol. 32(3), pages 527-538, July.
    3. Itaman, Richard E. & Awopegba, Oluwafemi E., 2021. "Finance, oil rent and premature deindustrialisation in Nigeria," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 149-161.
    4. Alessandro Nuvolari & Emanuele Russo, 2019. "Technical progress and structural change: a long-term view," LEM Papers Series 2019/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Alessandro Sarra & Claudio Berardino & Davide Quaglione, 2019. "Deindustrialization and the technological intensity of manufacturing subsystems in the European Union," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(1), pages 205-243, April.
    6. Lavopa, Alejandro & Szirmai, Adam, 2018. "Structural modernisation and development traps. An empirical approach," World Development, Elsevier, vol. 112(C), pages 59-73.
    7. Wilson Quijano & Diego Alejandro Guevara-Castañeda, 2021. "Desindustrialización: evidencias desde una mirada kaldoriana para Colombia (2005-2017)," Ensayos de Economía 19342, Universidad Nacional de Colombia Sede Medellín.
    8. Yahya Z. ALSHEHHI & Jozsef POPP, 2017. "Sectoral Analysis: Growth Accounting Of Tertiary Industries," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 14, pages 221-230, August.
    9. Chen, Liming & Felipe, Jesus & Kam, Andrew J.Y. & Mehta, Aashish, 2021. "Is employment globalizing?," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 74-92.
    10. André Roncaglia De Carvalho & - André M. Marques, 2018. "Economic Development And Inflation: A Theoretical And Empirical Analysis," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 41, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    11. Maria Savona, 2021. "Revisiting High Development Theory to Explain Upgrading Prospects in Business Services Global Value Chains," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(2), pages 206-226, April.
    12. Yazgan, Sekip & Marangoz, Cumali & Bulut, Emre, 2022. "The turning point of regional deindustrialization in the U.S.: Evidence from panel and time-series data," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 294-304.
    13. Ravago, Majah-Leah V. & Brucal, Arlan Zandro & Roumasset, James & Punongbayan, Jan Carlo, 2019. "The role of power prices in structural transformation: Evidence from the Philippines," Journal of Asian Economics, Elsevier, vol. 61(C), pages 20-33.
    14. Federico Riccio & Lorenzo Cresti & Maria Enrica Virgillito, 2022. "The labour share along global value chains. Perspectives and evidence from sectoral interdependence," LEM Papers Series 2022/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Helble, Matthias & Long, Trinh & Le, Trang, 2019. "Sectoral and Skill Contributions to Labor Productivity in Asia," ADBI Working Papers 929, Asian Development Bank Institute.
    16. Francisco David Kunst, 2019. "Premature Deindustrialization through the Lens of Occupations: Which Jobs, Why, and Where?," Tinbergen Institute Discussion Papers 19-033/V, Tinbergen Institute, revised 30 Dec 2020.
    17. Gabriel, Luciano Ferreira & de Santana Ribeiro, Luiz Carlos, 2019. "Economic growth and manufacturing: An analysis using Panel VAR and intersectoral linkages," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 43-61.
    18. Kozo Kiyota, 2023. "Spatially uneven pace of deindustrialisation within a country," The World Economy, Wiley Blackwell, vol. 46(7), pages 2187-2230, July.
    19. Sher Singh Verick, 2017. "The puzzles and contradictions of the Indian labour market: What will the future of work look like?," ASARC Working Papers 2017-02, The Australian National University, Australia South Asia Research Centre.
    20. Javier López González & Valentina Meliciani & Maria Savona, 2019. "When Linder meets Hirschman: inter-industry linkages and global value chains in business services," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(6), pages 1555-1586.

    More about this item

    Keywords

    input-output analysis; deindustrialization; outsourcing;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:brt:depwps:011. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Martin Labaj (email available below). General contact details of provider: https://edirc.repec.org/data/khnfesk.html .

    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.