IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v164y2018icp1-4.html
   My bibliography  Save this article

On the examination of non-linear relationship between market structure and performance in the US manufacturing industry

Author

Listed:
  • Chen, Chaoyi
  • Polemis, Michael
  • Stengos, Thanasis

Abstract

This paper attempts to investigate the causal link between market structure and industry performance using a micro panel data set of USA manufacturing industries over the period 1958–2007. We employ a novel panel GMM model strongly accounting for endogenous regressors and threshold variable. The empirical findings denote the existence of a non-monotonic relationship between market structure and total-factor productivity (TFP). Our findings call for future research on the impact of market structure on consumer welfare.

Suggested Citation

  • Chen, Chaoyi & Polemis, Michael & Stengos, Thanasis, 2018. "On the examination of non-linear relationship between market structure and performance in the US manufacturing industry," Economics Letters, Elsevier, vol. 164(C), pages 1-4.
  • Handle: RePEc:eee:ecolet:v:164:y:2018:i:c:p:1-4
    DOI: 10.1016/j.econlet.2017.12.030
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176517305256
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2017.12.030?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.

    References listed on IDEAS

    as
    1. Philippe Aghion & Jing Cai & Mathias Dewatripont & Luosha Du & Ann Harrison & Patrick Legros, 2022. "Industrial Policy and Competition," World Scientific Book Chapters, in: Globalization, Firms, and Workers, chapter 15, pages 349-380, World Scientific Publishing Co. Pte. Ltd..
    2. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    3. Michael L. Polemis & Thanasis Stengos, 2019. "Does competition prevent industrial pollution? Evidence from a panel threshold model," Business Strategy and the Environment, Wiley Blackwell, vol. 28(1), pages 98-110, January.
    4. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    5. Chang-Tai Hsieh, 1999. "Productivity Growth and Factor Prices in East Asia," American Economic Review, American Economic Association, vol. 89(2), pages 133-138, May.
    6. Seo, Myung Hwan & Shin, Yongcheol, 2016. "Dynamic panels with threshold effect and endogeneity," Journal of Econometrics, Elsevier, vol. 195(2), pages 169-186.
    7. Asimakopoulos, Stylianos & Karavias, Yiannis, 2016. "The impact of government size on economic growth: A threshold analysis," Economics Letters, Elsevier, vol. 139(C), pages 65-68.
    8. Polemis, Michael L. & Stengos, Thanasis, 2015. "Does market structure affect labour productivity and wages? Evidence from a smooth coefficient semiparametric panel model," Economics Letters, Elsevier, vol. 137(C), pages 182-186.
    9. Mian Dai & Qihong Liu & Konstantinos Serfes, 2014. "Is the Effect of Competition on Price Dispersion Nonmonotonic? Evidence from the U.S. Airline Industry," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 161-170, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Rangan Gupta & Patrick Kanda & Mark E. Wohar, 2021. "Predicting Stock Market Movements in the United States: The Role of Presidential Approval Ratings," International Review of Finance, International Review of Finance Ltd., vol. 21(1), pages 324-335, March.
    2. Michael L. Polemis, 2020. "A note on the estimation of competition-productivity nexus: a panel quantile approach," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(4), pages 663-676, December.
    3. Baah Aye Kusi & Lydia Adzobu & Alex Kwame Abasi & Kwadjo Ansah-Adu, 2020. "Sectoral Loan Portfolio Concentration and Bank Stability: Evidence from an Emerging Economy," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 19(1), pages 66-99, April.
    4. Halkos, George & Polemis, Michael, 2018. "Does market structure trigger efficiency? Evidence for the USA before and after the financial crisis," MPRA Paper 84511, University Library of Munich, Germany.
    5. Dagoumas, Athanasios S. & Polemis, Michael L., 2020. "Carbon pass-through in the electricity sector: An econometric analysis," Energy Economics, Elsevier, vol. 86(C).
    6. Dagoumas, Athanasios & Polemis, Michael, 2018. "Analysing Carbon Pass-Through Rate Mechanism in the Electricity Sector: Evidence from Greece," MPRA Paper 91067, University Library of Munich, Germany.
    7. Polemis, Michael L. & Stengos, Thanasis & Tzeremes, Nickolaos G., 2020. "Revisiting the impact of financial depth on growth: A semi-parametric approach," Finance Research Letters, Elsevier, vol. 36(C).
    8. Michael L. Polemis & Mike G. Tsionas, 2022. "Endogenous productivity: a new Bayesian perspective," Annals of Operations Research, Springer, vol. 318(1), pages 425-451, November.
    9. Tsionas, Mike G. & Polemis, Michael L., 2019. "On the estimation of total factor productivity: A novel Bayesian non-parametric approach," European Journal of Operational Research, Elsevier, vol. 277(3), pages 886-902.
    10. George E. Halkos & Michael L. Polemis, 2019. "The impact of market structure on environmental efficiency in the United States: A quantile approach," Business Strategy and the Environment, Wiley Blackwell, vol. 28(1), pages 127-142, January.
    11. Polemis, Michael L. & Tzeremes, Nickolaos G., 2019. "Competitive conditions and sectors’ productive efficiency: A conditional non-parametric frontier analysis," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1104-1118.

    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. Chen, Chaoyi & Polemis, Michael & Stengos, Thanasis, 2019. "Can exchange rate pass-through explain the asymmetric gasoline puzzle? Evidence from a pooled panel threshold analysis of the EU," Energy Economics, Elsevier, vol. 81(C), pages 1-12.
    2. Polemis, Michael & Tselekounis, Markos, 2019. "Does deregulation drive innovation intensity? Lessons learned from the OECD telecommunications sector," MPRA Paper 92770, University Library of Munich, Germany.
    3. Hajamini, Mehdi & Falahi, Mohammad Ali, 2018. "Economic growth and government size in developed European countries: A panel threshold approach," Economic Analysis and Policy, Elsevier, vol. 58(C), pages 1-13.
    4. Michael L. Polemis & Thanasis Stengos, 2019. "Does competition prevent industrial pollution? Evidence from a panel threshold model," Business Strategy and the Environment, Wiley Blackwell, vol. 28(1), pages 98-110, January.
    5. Chen, Chaoyi & Polemis, Michael & Stengos, Thanasis, 2018. "On the Examination of Competition in the Petroleum Industry: A Pooled Panel Threshold Analysis," MPRA Paper 89671, University Library of Munich, Germany.
    6. Zhang, Xiaobei & Wang, Xiaojun, 2021. "Measures of human capital and the mechanics of economic growth," China Economic Review, Elsevier, vol. 68(C).
    7. Miao, Ke & Su, Liangjun & Wang, Wendun, 2020. "Panel threshold regressions with latent group structures," Journal of Econometrics, Elsevier, vol. 214(2), pages 451-481.
    8. Chen, Chaoyi & Pinar, Mehmet & Stengos, Thanasis, 2021. "Determinants of renewable energy consumption: Importance of democratic institutions," Renewable Energy, Elsevier, vol. 179(C), pages 75-83.
    9. Özgür ERSİN & Ayfer USTABAŞ & Tuğçe ACAR, 2022. "The Nonlinear Effects of High Technology Exports, R&D and Patents on Economic Growth: A Panel Threshold Approach to 35 OECD Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 26-44, April.
    10. Krambia-Kapardis Maria & Stylianou Ioanna & Demetriou Salomi, 2022. "Nonlinear nexus between corruption and tourism arrivals: a global analysis," Empirical Economics, Springer, vol. 63(4), pages 1997-2024, October.
    11. Thanasis Stengos & Michael L. Polemis, 2020. "Threshold effects during the COVID-19 pandemic: Evidence from international tourist destinations," Working Papers 2005, University of Guelph, Department of Economics and Finance.
    12. Olaoye, Olumide O. & Eluwole, Oluwatosin O. & Ayesha, Aziz & Afolabi, Olugbenga O., 2020. "Government spending and economic growth in ECOWAS: An asymmetric analysis," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    13. Jianing Xu & Weidong Li, 2022. "The Impact of the Digital Economy on Innovation: New Evidence from Panel Threshold Model," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    14. Ridha Nouira & Mohamed Kouni, 2018. "Optimal Government Size and Economic Growth in Developing and MENA Countries: A Dynamic Panel Threshold Analysis," Working Papers 1256, Economic Research Forum, revised 15 Nov 2018.
    15. Wang, Yongpei & Yan, Qing, 2023. "Is cleaner more efficient? Exploring nonlinear impacts of renewable energy deployment on regional total factor energy efficiency," Renewable Energy, Elsevier, vol. 216(C).
    16. Akram, Vaseem & Rath, Badri Narayan, 2020. "Optimum government size and economic growth in case of Indian states: Evidence from panel threshold model," Economic Modelling, Elsevier, vol. 88(C), pages 151-162.
    17. Candelon, Bertrand & Carare, Alina & Hasse, Jean-Baptiste & Lu, Jing, 2020. "The post-crises output growth effects in a globalized economy," International Economics, Elsevier, vol. 161(C), pages 139-158.
    18. Fhima, Fredj & Nouira, Ridha & Sekkat, Khalid, 2023. "How does corruption affect sustainable development? A threshold non-linear analysis," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 505-523.
    19. Dombi, Akos & Grigoriadis, Theocharis & Zhu, Junbing, 2020. "Antiquity and capitalism: The finance-growth perspective," Discussion Papers 2020/9, Free University Berlin, School of Business & Economics.
    20. Salwa Trabelsi, 2019. "The governance threshold effect on the relationship between public education financing and income inequality," Economics Bulletin, AccessEcon, vol. 39(2), pages 1057-1075.

    More about this item

    Keywords

    Market structure; TFP; Threshold; Competition; Non-linear effects;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L6 - Industrial Organization - - Industry Studies: Manufacturing

    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:eee:ecolet:v:164:y:2018:i:c:p:1-4. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.