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Foreign direct investment in provinces: A spatial regression approach to FDI in Vietnam

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  • Esiyok, Bulent
  • Ugur, Mehmet

Abstract

Foreign direct investment (FDI) flows into Vietnam have increased significantly in recent years, with unequal distribution between provinces and regions. We aim to contribute to the literature on locational determinants of FDI by accounting for spatial interdependence between 62 Vietnamese provinces from 2006-2009. For this purpose, we estimate a spatial lag model using maximum likelihood estimation method. We report existence of spatial dependence between provinces as well as spatial spill-over effects. The results are robust to different specifications for weight matrices and inclusion of different explanatory variables and/or proxies. We also report that conventional determinants of FDI such as market size, domestic investment, openness to trade, labour cost, education and governance, etc. are significant and remain robust to inclusion of spatial interdependence. The sign of the spatial dependence suggests that the distribution of FDI between provinces is subject to conglomeration effects.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 36145.

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Date of creation: 20 Dec 2011
Date of revision: 05 Jan 2012
Handle: RePEc:pra:mprapa:36145

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Keywords: Foreign direct investment; spatial dependence; conglomeration; Vietnam;

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  1. Head, Keith & Ries, John & Swenson, Deborah, 1995. "Agglomeration benefits and location choice: Evidence from Japanese manufacturing investments in the United States," Journal of International Economics, Elsevier, vol. 38(3-4), pages 223-247, May.
  2. Bruce A. Blonigen & Ronald B. Davies & Glen R. Waddell & Helen T. Naughton, 2004. "FDI in Space: Spatial Autoregressive Relationships in Foreign Direct Investment," NBER Working Papers 10939, National Bureau of Economic Research, Inc.
  3. Cletus C. Coughlin & Eran Segev, 1999. "Foreign direct investment in China: a spatial econometric study," Working Papers 1999-001, Federal Reserve Bank of St. Louis.
  4. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
  5. Badi H. Baltagi & Peter Egger & Michael Pfaffermayr, 2005. "Estimating Models of Complex FDI: Are There Third-Country Effects?," Center for Policy Research Working Papers 73, Center for Policy Research, Maxwell School, Syracuse University.
  6. Maria Abreu & Henri L.F. de Groot & Raymond J.G.M. Florax, 2004. "Space and Growth," Tinbergen Institute Discussion Papers 04-129/3, Tinbergen Institute.
  7. David Drukker & Daniel Millimet, 2007. "Assessing the Pollution Haven Hypothesis in an Interdependent World," Departmental Working Papers 0703, Southern Methodist University, Department of Economics.
  8. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
  9. Matthew Cole & Robert Elliott & Jing Zhang, 2008. "Corruption, Governance and FDI Location in China : A Province-Level Analysis," Discussion Papers 08-06, Department of Economics, University of Birmingham.
  10. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
  11. Harry Garretsen & Jolanda Peeters, 2009. "FDI and the relevance of spatial linkages: do third-country effects matter for Dutch FDI?," Review of World Economics (Weltwirtschaftliches Archiv), Springer, vol. 145(2), pages 319-338, July.
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