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Globalisation and the fall of markups

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  • Michał Gradzewicz
  • Jakub Mućk

Abstract

This paper provides the evidence of a fall of markups of price over marginal costs in Poland over the period 2002–2016. Markups were calculated using a census of firms and the methodology proposed by De Loecker and Warzynski (2012; American Economic Review, 102(6)). The fall of markups is robust to several empirical identification strategies. Moreover, the decline of markups is not related to changes in a sectoral composition and firms demography and is most severe in exporting firms. Our empirical results relate the fall of markups to the globalisation and the emergence of the Global Value Chains. We show that an increasing reliance on imported components in production, together with a rising concentration of domestic firms on export markets are the main factors behind the observed compression of markups. We also document a hump‐shaped (U‐shaped) relationship between foreign value added in exports (distance from final demand) and markups.

Suggested Citation

  • Michał Gradzewicz & Jakub Mućk, 2024. "Globalisation and the fall of markups," The World Economy, Wiley Blackwell, vol. 47(3), pages 1089-1116, March.
    • Handle: RePEc:bla:worlde:v:47:y:2024:i:3:p:1089-1116
    DOI: 10.1111/twec.13480
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    References listed on IDEAS

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    1. Bo Meng & Ming Ye & Shang‐Jin Wei, 2020. "Measuring Smile Curves in Global Value Chains," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(5), pages 988-1016, October.
    2. Marcel P. Timmer & Abdul Azeez Erumban & Bart Los & Robert Stehrer & Gaaitzen J. de Vries, 2014. "Slicing Up Global Value Chains," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 99-118, Spring.
    3. Zhi Wang & Shang-Jin Wei & Kunfu Zhu, 2013. "Quantifying International Production Sharing at the Bilateral and Sector Levels," NBER Working Papers 19677, National Bureau of Economic Research, Inc.
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    Citations

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    Cited by:

    1. Michał Gradzewicz, 2020. "Joint identification of monopoly and monopsony power," KAE Working Papers 2020-051, Warsaw School of Economics, Collegium of Economic Analysis.
    2. Mariusz & Mirosław Błażej, 2020. "A control function approach to measuring the total factor productivity of enterprises in Poland," Bank i Kredyt, Narodowy Bank Polski, vol. 51(3), pages 293-316.
    3. Michał Gradzewicz & Jakub Mućk, 2020. "Unravelling the markups changes: the role of demand elasticity and concentration," NBP Working Papers 334, Narodowy Bank Polski.
    4. Marcin Bielecki & Michał Brzoza-Brzezina & Marcin Kolasa, 2022. "Aging, Migration and Monetary Policy in Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 5-30.
    5. Adrián Rodríguez Valle & Esteban Fernández-Vázquez, 2023. "Estimating market power for the European manufacturing industry between 2000 and 2014," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 141-172, February.
    6. Emanuela Ciapanna & Sara Formai & Andrea Linarello & Gabriele Rovigatti, 2022. "Measuring market power: macro and micro evidence from Italy," Questioni di Economia e Finanza (Occasional Papers) 672, Bank of Italy, Economic Research and International Relations Area.
    7. Santos, Diogo Oliveira & Britto, Gustavo & Ribeiro, Rafael S.M. & Cardoso, Debora Freire, 2023. "Do wages squeeze markups? Sectoral-level evidence for Brazil, 2000–2013," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 52-66.
    8. Hagemejer, Jan & Hałka, Aleksandra & Kotłowski, Jacek, 2022. "Global value chains and exchange rate pass-through—The role of non-linearities," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 461-478.
    9. Górajski, Mariusz & Kuchta, Zbigniew & Leszczyńska-Paczesna, Agnieszka, 2023. "Price-setting heterogeneity and robust monetary policy in a two-sector DSGE model of a small open economy," Economic Modelling, Elsevier, vol. 122(C).

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    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • F61 - International Economics - - Economic Impacts of Globalization - - - Microeconomic Impacts
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms

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