[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/sae/soueco/v16y2015i2p278-294.html
   My bibliography  Save this article

Anti-dumping Initiations in Indian Manufacturing Industries

Author

Listed:
  • Sagnik Bagchi
  • Surajit Bhattacharyya
  • K. Narayanan
Abstract
Anti-dumping as a new protectionist trade policy has evolved as the popular strategy choice for the trading nations. Since the Uruguay Round of World Trade Organization (WTO) (1994), India has been a prominent user of it. This article attempts to explore the possible factors that might have triggered off 90 percent cases of anti-dumping by five major Indian manufacturing industries over the period 1997–2011. We construct a balanced panel combining data on anti-dumping initiations from the ‘Global Antidumping Database’ with trade data from the Directorate General of Commercial Intelligence and Statistics (DGCI&S)-India and United Nations Comtrade database at the Indian Trade Classification (ITC) based on Harmonized System (HS) two-digit level. Having count data , the empirical model is estimated initially through a random - effects Poisson regression model followed by a negative binomial model. The number of anti-dumping initiations in India is dependent on the value of imports, the presence of a dominant industry lobby and the retaliatory behaviour by the affected domestic firms, among some others. In fact, we find that in determining the number of anti-dumping initiations the conventional economic and foreign affairs policies take a backseat!

Suggested Citation

  • Sagnik Bagchi & Surajit Bhattacharyya & K. Narayanan, 2015. "Anti-dumping Initiations in Indian Manufacturing Industries," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 16(2), pages 278-294, September.
    • Handle: RePEc:sae:soueco:v:16:y:2015:i:2:p:278-294
    DOI: 10.1177/1391561415598462
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1391561415598462
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1391561415598462?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
    ---><---

    References listed on IDEAS

    as
    1. Nisha Malhotra & Shavin Malhotra, 2008. "Liberalization and protection: antidumping duties in the Indian pharmaceutical industry," Journal of Economic Policy Reform, Taylor and Francis Journals, vol. 11(2), pages 115-122.
    2. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    3. Sagnik Bagchi & Surajit Bhattacharyya & K. Narayanan, 2014. "Does Anti-dumping Enforcement Generate Threat?," Foreign Trade Review, , vol. 49(1), pages 31-44, February.
    4. Krupp, Corinne, 1994. "Antidumping Cases in the U.S. Chemical Industry: A Panel Data Approach," Journal of Industrial Economics, Wiley Blackwell, vol. 42(3), pages 299-311, September.
    5. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    6. Doreen Bekker, 2006. "The Strategic Use Of Anti‐Dumping In International Trade," South African Journal of Economics, Economic Society of South Africa, vol. 74(3), pages 501-521, September.
    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. Vanhaverbeke, Wim & Li, Ying & Van de Vrande, Vareska, 2009. "The dual role of external corporate venturing in technological exploration," MPRA Paper 26488, University Library of Munich, Germany, revised 2010.
    2. Grafström, Jonas & Poudineh, Rahmat, 2023. "No evidence of counteracting policy effects on European solar power invention and diffusion," Energy Policy, Elsevier, vol. 172(C).
    3. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    4. Ulf‐ G. Gerdtham, 1997. "Equity in Health Care Utilization: Further Tests Based on Hurdle Models and Swedish Micro Data," Health Economics, John Wiley & Sons, Ltd., vol. 6(3), pages 303-319, May.
    5. Dionne, Georges & Vanasse, Charles, 1997. "Une évaluation empirique de la nouvelle tarification de l’assurance automobile (1992) au Québec," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 47-80, mars-juin.
    6. Gabriele Fiorentini & Enrique Sentana, 2021. "Specification tests for non‐Gaussian maximum likelihood estimators," Quantitative Economics, Econometric Society, vol. 12(3), pages 683-742, July.
    7. Kim, Hyungtai & Ahn, Sanghoon & Ulfarsson, Gudmundur F., 2018. "Transportation infrastructure investment and the location of new manufacturing around South Korea's West Coast Expressway," Transport Policy, Elsevier, vol. 66(C), pages 146-154.
    8. Gilsing, Victor & Nooteboom, Bart & Vanhaverbeke, Wim & Duysters, Geert & van den Oord, Ad, 2008. "Network embeddedness and the exploration of novel technologies: Technological distance, betweenness centrality and density," Research Policy, Elsevier, vol. 37(10), pages 1717-1731, December.
    9. Russo, Angeloantonio & Vurro, Clodia & Nag, Rajiv, 2019. "To have or to be? The interplay between knowledge structure and market identity in knowledge-based alliance formation," Research Policy, Elsevier, vol. 48(3), pages 571-583.
    10. Brigitte Evelyne Granville & Carol Scott Leonard, 2006. "Do institutions matter for technological change in transition economies? The case of the Russia's 89 regions and republics," UCL SSEES Economics and Business working paper series 70, UCL School of Slavonic and East European Studies (SSEES).
    11. Francesca Pantaleone & Roberto Fazioli, 2022. "Lock-In Effects on the Energy Sector: Evidence from Hydrogen Patenting Activities," Energies, MDPI, vol. 15(9), pages 1-15, April.
    12. Gopinath, Munisamy & Vasavada, Utpal, 1999. "Patents, R&D, And Market Structure In The U.S. Food Processing Industry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(1), pages 1-13, July.
    13. Yang, Hongyan & Steensma, H. Kevin, 2014. "When do firms rely on their knowledge spillover recipients for guidance in exploring unfamiliar knowledge?," Research Policy, Elsevier, vol. 43(9), pages 1496-1507.
    14. Gamarra, Yanis Luca & Friedl, Gunther, 2023. "Declared essential patents and average total R&D expenditures per patent family," Telecommunications Policy, Elsevier, vol. 47(7).
    15. Majo, M.C., 2010. "A microeconometric analysis of health care utilization in Europe," Other publications TiSEM 1cf5fd2f-8146-4ef8-8eb5-e, Tilburg University, School of Economics and Management.
    16. Frank T. Rothaermel & Andrew M. Hess, 2007. "Building Dynamic Capabilities: Innovation Driven by Individual-, Firm-, and Network-Level Effects," Organization Science, INFORMS, vol. 18(6), pages 898-921, December.
    17. Gonzalez-Brambila, Claudia N. & Veloso, Francisco M. & Krackhardt, David, 2013. "The impact of network embeddedness on research output," Research Policy, Elsevier, vol. 42(9), pages 1555-1567.
    18. Liu Li & Chaoying Tang, 2020. "How Does Inter-Organizational Cooperation Impact Organizations’ Scientific Knowledge Generation? Evidence from the Biomass Energy Field," Sustainability, MDPI, vol. 13(1), pages 1-18, December.
    19. Xiaodi Xie, 1997. "Children and female labour supply behaviour," Applied Economics, Taylor & Francis Journals, vol. 29(10), pages 1303-1310.
    20. Alexandre Almeida & Aurora A.C. Teixeira, 2007. "Does Patenting negatively impact on R&D investment?An international panel data assessment," FEP Working Papers 255, Universidade do Porto, Faculdade de Economia do Porto.

    More about this item

    Keywords

    Anti-dumping; manufacturing industries; count data; Poisson model; negative binomial model;
    All these keywords.

    JEL classification:

    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • L40 - Industrial Organization - - Antitrust Issues and Policies - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:sae:soueco:v:16:y:2015:i:2:p:278-294. 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: SAGE Publications (email available below). General contact details of provider: http://www.ips.lk/ .

    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.