IDEAS home Printed from https://ideas.repec.org/p/eec/wpaper/1216.html
   My bibliography  Save this paper

Export intensity and the productivity gains of exporting

Author

Listed:
  • Miguel Manjón

    (QURE-CREIP Department of Economics, Universitat Rovira i Virgili)

  • Juan A. Mañez

    (Department of Applied Economics II and ERICES, Universitat de València)

  • María E. Rochina-Barrachina

    (Department of Applied Economics II and ERICES, Universitat de València)

  • Juan A. Sanchis-Llopis

    (Department of Applied Economics II and ERICES, Universitat de València)

Abstract

This paper analyses whether the productivity gains associated with learning-by-exporting (controlling for self-selection) depend on the intensity of the firm exporting activity. Results from a representative ample of Spanish manufacturing firms indicate that the yearly average gains in productivity are larger for those firms that increase their export to sales ratio.

Suggested Citation

  • Miguel Manjón & Juan A. Mañez & María E. Rochina-Barrachina & Juan A. Sanchis-Llopis, 2012. "Export intensity and the productivity gains of exporting," Working Papers 1216, Department of Applied Economics II, Universidad de Valencia.
  • Handle: RePEc:eec:wpaper:1216
    as

    Download full text from publisher

    File URL: http://repecsrv.uv.es/paper/RePEc/pdf/eec_1216.pdf
    File Function: First version, 2012
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Joachim Wagner, 2016. "International Trade and Firm Performance: A Survey of Empirical Studies since 2006," World Scientific Book Chapters, in: Microeconometrics of International Trade, chapter 2, pages 43-87, World Scientific Publishing Co. Pte. Ltd..
    2. Marc J. Melitz, 2003. "The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity," Econometrica, Econometric Society, vol. 71(6), pages 1695-1725, November.
    3. Wooldridge, Jeffrey M., 2009. "On estimating firm-level production functions using proxy variables to control for unobservables," Economics Letters, Elsevier, vol. 104(3), pages 112-114, September.
    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. Garcia Martinez, Marian & Zouaghi, Ferdaous & Sanchez Garcia, Mercedes, 2017. "Capturing value from alliance portfolio diversity: The mediating role of R&D human capital in high and low tech industries," Technovation, Elsevier, vol. 59(C), pages 55-67.
    2. Mozas-Moral, Adoración & Fernández-Uclés, Domingo & Medina-Viruel, Miguel Jesús & Bernal-Jurado, Enrique, 2021. "The role of the SDGs as enhancers of the performance of Spanish wine cooperatives," Technological Forecasting and Social Change, Elsevier, vol. 173(C).

    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. Lawrence Edwards & Marco Sanfilippo & Asha Sundaram, 2016. "Importing and firm performance: New evidence from South Africa," WIDER Working Paper Series 039, World Institute for Development Economic Research (UNU-WIDER).
    2. Segundo Camino-Mogro & Mary Armijos & Paul Vera-Gilces, 2022. "High-growth firms and international trade: evidence from Ecuador," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 299-332, January.
    3. Kazunobu Hayakawa & Toshiyuki Matsuura, . "Dynamic Two-way Relationship between Exporting and Importing: Evidence from Japan," Chapters, in: Chin Hee Hahn & Dionisius A. Narjoko (ed.), Globalization and Performance of Small and Large Firms, chapter 3, pages III-1 - I, Economic Research Institute for ASEAN and East Asia (ERIA).
    4. Lawrence Edwards & Marco Sanfilippo & Asha Sundaram, 2020. "Importing and Productivity: An Analysis of South African Manufacturing Firms," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 57(2), pages 411-432, September.
    5. Sharma, Chandan, 2018. "Exporting, access of foreign technology, and firms’ performance: Searching the link in Indian manufacturing," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 46-62.
    6. Miguel Manjón & Juan Máñez & María Rochina-Barrachina & Juan Sanchis-Llopis, 2013. "Reconsidering learning by exporting," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 149(1), pages 5-22, March.
    7. Cirera,Xavier & Lederman,Daniel & Máñez,J.A. & Rochina,M.E. & Sanchis,J.A., 2015. "The export-productivity link in Brazilian manufacturing firms," Policy Research Working Paper Series 7365, The World Bank.
    8. Joachim Wagner, 2012. "Exports, R&D and productivity: a test of the Bustos-model with German enterprise data," Economics Bulletin, AccessEcon, vol. 32(3), pages 1942-1948.
    9. MORIKAWA Masayuki, 2015. "Service Trade and Productivity: Firm-level evidence from Japan," Discussion papers 15030, Research Institute of Economy, Trade and Industry (RIETI).
    10. Angelo Secchi & Federico Tamagni & Chiara Tomasi, 2016. "Financial constraints and firm exports: accounting for heterogeneity, self-selection, and endogeneity," Industrial and Corporate Change, Oxford University Press, vol. 25(5), pages 813-827.
    11. SHIMAMOTO Daichi & Yu Ri KIM & TODO Yasuyuki, 2019. "The Effect of Social Interactions on Exporting Activities: Evidence from Micro, Small, and Medium-Sized Enterprises in rural Vietnam," Discussion papers 19020, Research Institute of Economy, Trade and Industry (RIETI).
    12. Arvanitis, Spyros & Hollenstein, Heinz & Stucki, Tobias, 2016. "Does the explanatory power of the OLI approach differ among sectors and business functions? Evidence from firm-level data," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 10, pages 1-46.
    13. Umut Kılınç, 2018. "Assessing Productivity Gains from International Trade in a Small Open Economy," Open Economies Review, Springer, vol. 29(5), pages 953-980, November.
    14. Joachim Wagner, 2017. "Intra-good trade in Germany: a first look at the evidence," Applied Economics, Taylor & Francis Journals, vol. 49(57), pages 5753-5761, December.
    15. Jacob, Nicholas & Mion, Giordano, 2020. "On the productivity advantage of cities," CEPR Discussion Papers 14644, C.E.P.R. Discussion Papers.
    16. Eva Hagsten & Patricia Kotnik, 2017. "ICT as facilitator of internationalisation in small- and medium-sized firms," Small Business Economics, Springer, vol. 48(2), pages 431-446, February.
    17. Békés, Gábor & Hornok, Cecília & Muraközy, Balázs, 2016. "Globalization and the markups of European firms," Kiel Working Papers 2044, Kiel Institute for the World Economy (IfW Kiel).
    18. Lo Turco, Alessia & Maggioni, Daniela, 2013. "Does Trade Foster Employment Growth in Emerging Markets? Evidence from Turkey," World Development, Elsevier, vol. 52(C), pages 1-18.
    19. Joakim Gullstrand & Karin Olofsdotter & Susanna Thede, 2016. "Importers, Exporters and Multinationals: Exploring the Hierarchy of International Linkages," Open Economies Review, Springer, vol. 27(3), pages 495-514, July.
    20. Afonso, Oscar & Silva, Armando, 2012. "Non-scale endogenous growth effects of subsidies for exporters," Economic Modelling, Elsevier, vol. 29(4), pages 1248-1257.

    More about this item

    Keywords

    export intensity; learning-by-exporting; productivity; endogenous Markov; semi-parametric approach;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • F1 - International Economics - - Trade

    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:eec:wpaper:1216. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/dsvales.html .

    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: Vicente Esteve (email available below). General contact details of provider: https://edirc.repec.org/data/dsvales.html .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.