IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v116y2012i3p562-564.html
   My bibliography  Save this article

What determines the intra-industrial technology spillovers of foreign direct investment?

Author

Listed:
  • Xu, Tao
  • Zhao, Zengyao

Abstract

We test the determinants of low intra-industrial technology spillovers of foreign direct investment in China’s manufacturing industries with the quantile regression method. Greater technology gap, fewer state-owned enterprises and large-and-medium-size enterprises, and greater industrial clustering can stimulate intra-industrial technology spillovers.

Suggested Citation

  • Xu, Tao & Zhao, Zengyao, 2012. "What determines the intra-industrial technology spillovers of foreign direct investment?," Economics Letters, Elsevier, vol. 116(3), pages 562-564.
  • Handle: RePEc:eee:ecolet:v:116:y:2012:i:3:p:562-564
    DOI: 10.1016/j.econlet.2012.05.049
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176512003175
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2012.05.049?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. Magnus Blomström & Ari Kokko & Mario Zejan, 2000. "Technology, Market Characteristics and Spillovers," Palgrave Macmillan Books, in: Foreign Direct Investment, chapter 10, pages 160-176, Palgrave Macmillan.
    2. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    3. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    4. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    5. Kuznets, Simon, 1973. "Modern Economic Growth: Findings and Reflections," American Economic Review, American Economic Association, vol. 63(3), pages 247-258, June.
    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. Müller, Patrick, 2021. "Impacts of inward FDIs and ICT penetration on the industrialisation of Sub-Saharan African countries," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 265-279.

    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. Paunov, Caroline & Rollo, Valentina, 2016. "Has the Internet Fostered Inclusive Innovation in the Developing World?," World Development, Elsevier, vol. 78(C), pages 587-609.
    2. Mahmut Yaşar & Catherine J. Morrison Paul, 2009. "Size and Foreign Ownership Effects on Productivity and Efficiency: An Analysis of Turkish Motor Vehicle and Parts Plants," Review of Development Economics, Wiley Blackwell, vol. 13(4), pages 576-591, November.
    3. Fariha Kamal & Mary E. Lovely & Puman Ouyang, 2017. "Does deeper integration enhance spatial advantages? Market access and wage growth in China," World Scientific Book Chapters, in: Mary E Lovely (ed.), International Economic Integration and Domestic Performance, chapter 14, pages 255-270, World Scientific Publishing Co. Pte. Ltd..
    4. Toke Reichstein & Michael Dahl & Bernd Ebersberger & Morten Jensen, 2010. "The devil dwells in the tails," Journal of Evolutionary Economics, Springer, vol. 20(2), pages 219-231, April.
    5. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    6. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
    7. Trojanek, Radoslaw & Huderek-Glapska, Sonia, 2018. "Measuring the noise cost of aviation – The association between the Limited Use Area around Warsaw Chopin Airport and property values," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 103-114.
    8. Paulo M.M. Rodrigues & Rita Fradique Lourenço, 2015. "House prices: bubbles, exuberance or something else? Evidence from euro area countries," Working Papers w201517, Banco de Portugal, Economics and Research Department.
    9. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    10. Yayan Hernuryadin & Koji Kotani & Tatsuyoshi Saijo, 2020. "Time Preferences of Food Producers: Does “Cultivate and Grow” Matter?," Land Economics, University of Wisconsin Press, vol. 96(1), pages 132-148.
    11. Klomp, Jeroen, 2013. "Government interventions and default risk: Does one size fit all?," Journal of Financial Stability, Elsevier, vol. 9(4), pages 641-653.
    12. Bampinas, Georgios & Panagiotidis, Theodore, 2016. "Hedging inflation with individual US stocks: A long-run portfolio analysis," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 374-392.
    13. Strike Mbulawa & Francis Nathan Okurut & Mogale Ntsosa & Narain Sinha, 2020. "Dynamics of Corporate Dividend Policy under Hyperinflation and Dollarization: A Quantile Regression Approach," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 13(3), pages 70-82, December.
    14. Jean-Marc Fournier & Isabell Koske, 2012. "The determinants of earnings inequality: evidence from quantile regressions," OECD Journal: Economic Studies, OECD Publishing, vol. 2012(1), pages 7-36.
    15. V L Miguéis & D F Benoit & D Van den Poel, 2013. "Enhanced decision support in credit scoring using Bayesian binary quantile regression," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(9), pages 1374-1383, September.
    16. Agbeyegbe, Terence D., 2015. "An inverted U-shaped crude oil price return-implied volatility relationship," Review of Financial Economics, Elsevier, vol. 27(C), pages 28-45.
    17. Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2013. "On the dynamics of gasoline market integration in the United States: Evidence from a pair-wise approach," Energy Economics, Elsevier, vol. 36(C), pages 503-510.
    18. Dimic, Nebojsa & Piljak, Vanja & Swinkels, Laurens & Vulanovic, Milos, 2021. "The structure and degree of dependence in government bond markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    19. Osuji E. & Evans O., 2020. "Tourism Effects of Pandemics: New Insights from Novel Coronavirus," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 70(3-4), pages 56-65, July-Dece.
    20. Mirpourian, Mehrdad, 2020. "A Gendered Look at Savings Behavior among Nigerian Microsavers," MPRA Paper 103062, University Library of Munich, Germany.

    More about this item

    Keywords

    Technology spillovers; FDI; Technology gap; Manufacturing industries;
    All these keywords.

    JEL classification:

    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:116:y:2012:i:3:p:562-564. 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.