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Listing BRICs: Stock Issuers from Brazil, Russia, India, and China in New York, London, and Luxembourg

Author

Listed:
  • Dariusz Wójcik
  • Csaba Burger

Abstract

In the past decade, hundreds of companies from emerging markets have listed their shares on American and European stock markets. Brazil, Russia, India, and China (BRIC) are the main countries of origin of issuers, and stock exchanges in the United States, the United Kingdom, and Luxembourg are the main destinations involved in the process. We use a comprehensive data set for these home and host markets for the end of 2008 to explore the intensity of foreign listings, the subnational geography of cross-listed firms, and the destinations of foreign listings. Cross-listing firms tend to be relatively large and come from capital-intensive, export-oriented, and high-growth sectors. Trading links with and industrial specialization of the host markets affect the choice of destination markets. These patterns, however, are not universal across countries. There is a high concentration of cross-listed firms in the leading financial centers of the BRIC countries, particularly in Russia and Brazil. Firms outside of the leading centers rarely cross-list, and when they do, they enter second-tier host markets. While BRIC countries have a large potential for further foreign listings, the process remains politically sensitive. Our results highlight the shortcomings of the literature on cross-listing in economics and the significance of the cross-listing phenomenon to future research in financial geographies.

Suggested Citation

  • Dariusz Wójcik & Csaba Burger, 2010. "Listing BRICs: Stock Issuers from Brazil, Russia, India, and China in New York, London, and Luxembourg," Economic Geography, Taylor & Francis Journals, vol. 86(3), pages 275-296, July.
  • Handle: RePEc:taf:recgxx:v:86:y:2010:i:3:p:275-296
    DOI: 10.1111/j.1944-8287.2010.01079.x
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    Citations

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    Cited by:

    1. Bas Karreman & Bert van der Knaap, 2012. "The geography of equity listing and financial centre competition in mainland China and Hong Kong," Journal of Economic Geography, Oxford University Press, vol. 12(4), pages 899-922, July.
    2. Ewa Karwowski & Engelbert Stockhammer, 2017. "Financialisation in emerging economies: a systematic overview and comparison with Anglo-Saxon economies," Economic and Political Studies, Taylor & Francis Journals, vol. 5(1), pages 60-86, January.
    3. Xu Zhang & Yajuan Li, 2019. "Serving the culture: Spatial interactions between cultural industries and advanced producer services in mainland China," Environment and Planning A, , vol. 51(2), pages 374-392, March.
    4. Klagge Britta & Zademach Hans-Martin, 2018. "International capital flows, stock markets, and uneven development: the case of Sub-Saharan Africa and the Sustainable Stock Exchanges Initiative (SSEI)," ZFW – Advances in Economic Geography, De Gruyter, vol. 62(2), pages 92-107, May.
    5. Ioannou, Stefanos & Wójcik, Dariusz & Pažitka, Vladimír, 2021. "Financial centre bias in sub-sovereign credit ratings," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 70(C).
    6. Chugh, Shrutika & Fargher, Neil & Wright, Sue, 2014. "Cross-listing as a Global Depository Receipt: The influence of emerging markets, regulation, and accounting regime," Journal of Contemporary Accounting and Economics, Elsevier, vol. 10(3), pages 262-276.
    7. Fenghua Pan & Wenkai Bi & James Lenzer & Simon Zhao, 2017. "Mapping urban networks through inter-firm service relationships: The case of China," Urban Studies, Urban Studies Journal Limited, vol. 54(16), pages 3639-3654, December.
    8. Fenghua Pan & Ziyun He & Cheng Fang & Bofei Yang & Jinshe Liang, 2018. "World City Networks Shaped by the Global Financing of Chinese Firms: A Study Based on Initial Public Offerings of Chinese Firms on the Hong Kong Stock Exchange, 1999-2017," Networks and Spatial Economics, Springer, vol. 18(3), pages 751-772, September.
    9. Li, Nan & Liu, Cengceng & Zha, Donglan, 2016. "Performance evaluation of Chinese photovoltaic companies with the input-oriented dynamic SBM model," Renewable Energy, Elsevier, vol. 89(C), pages 489-497.

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