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FDI theory and foreign direct investment in the United States: a comparison of investors and non-investors

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  • Trevino, Len J.
  • Daniels, John D.

Abstract

This study used discriminant function analysis on a sample of 240 non-US firms to determine if they could be correctly classified as direct investors or non-investors in the United States for each year during the five year period 1984-1988. Results were robust, correctly classifying 72.81% of all firms (5-year average). Specifically, investors were larger and more profitable than non-investors. They came from industries with higher exports to the United States, and which spend more on research and development. Unexpectedly, prior rates of industry export growth to the United States and global industry concentration did not discriminate between investors and non-investors.

Suggested Citation

  • Trevino, Len J. & Daniels, John D., 1995. "FDI theory and foreign direct investment in the United States: a comparison of investors and non-investors," International Business Review, Elsevier, vol. 4(2), pages 177-194, June.
    • Handle: RePEc:eee:iburev:v:4:y:1995:i:2:p:177-194
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    2. Huseyin Ince & Bora Aktan, 2009. "A comparison of data mining techniques for credit scoring in banking: A managerial perspective," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 10(3), pages 233-240, March.
    3. Hossain, Saddam & Masih, Mansur, 2018. "Is the relationship between FDI and inflation nonlinear and asymmetric? new evidence from NARDL approach," MPRA Paper 112549, University Library of Munich, Germany.
    4. William J. Zeile, 1998. "Imported Inputs and the Domestic Content of Production by Foreign-Owned Manufacturing Affiliates in the United States," NBER Chapters, in: Geography and Ownership as Bases for Economic Accounting, pages 205-234, National Bureau of Economic Research, Inc.
    5. Paul, Justin & Feliciano-Cestero, María M., 2021. "Five decades of research on foreign direct investment by MNEs: An overview and research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 800-812.
    6. Lee, Tian-Shyug & Chiu, Chih-Chou & Chou, Yu-Chao & Lu, Chi-Jie, 2006. "Mining the customer credit using classification and regression tree and multivariate adaptive regression splines," Computational Statistics & Data Analysis, Elsevier, vol. 50(4), pages 1113-1130, February.

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