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Foreign Ownership and Local firms’ Capital labor Ratio: the Case of Abu Dhabi

Foreign Ownership and Local firms’ Capital labor Ratio: the Case of Abu Dhabi. O.J. Parcero, A.O. Abahindy , Rashid and A.S. Kamalzada United Arab Emirate University. C ontents: Introduction UAE’s potential for FDI FDI productivity and Capital labor ratio Data Econometric analysis

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Foreign Ownership and Local firms’ Capital labor Ratio: the Case of Abu Dhabi

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  1. Foreign Ownership and Local firms’ Capital labor Ratio: the Case of Abu Dhabi O.J. Parcero, A.O. Abahindy, Rashidand A.S. Kamalzada United Arab Emirate University Contents: • Introduction • UAE’s potential for FDI • FDI productivity and Capital labor ratio • Data • Econometric analysis • Conclusion

  2. Introduction • Foreign ownership spillovers lead to local firms higher productivity and capital labor ratio.

  3. UAE’s potential for FDI -Average real GDP growth in the last decade for the UAE was close to 10%. -Ranked as the top 23theconomies in terms of the Easy of Doing BusinessIndicators. - World's twentieth biggest exporter of merchandise in 2011.

  4. FDI flows to the UAE • $-0.5 billion in 2000 and in 2011 $7.7 billion. • UAE FDI average flow 47% higher than the combined average flows to Bahrain, Kuwait, Oman, and Qatar(Mina 2012). • However, less than 13% of Abu Dhabi firms are registered as foreigners while over 88% of UAE labor force is expatriate.

  5. Business License • Foreign firms are required to have a UAE national as a partner or sponsor. • In the case of partnership 51% of local ownership is required in a foreign firm.

  6. Capital labor ratio and productivity • FDI may produce positive externalities on the local firms’ productivity. • Higher capital labor ratio - one of the channels through which a higher productivity is achieved. • Higher capital labor ratio positively effects the productivity

  7. Capital labor ratio and productivity (cont.) (Productivity ) FDI Spillover Local firms technical learning

  8. Capital labor ratio and productivity (cont.) + • Technical learning may lead to a higher capital labor ratio: • Higher knowledge leads to a reduction in the total number of employees • New and improved knowledge is embodied into new equipment FDI Spillover Local firms technical learning (Productivity ) K/L

  9. Data • The number of firms after screening is 21,262 (ABCEI) 18,532 nationals and 2,730 foreign. • Screened outliers mainly consist of firms having: • Capital less than AED 5,000 • Capital labor ratio lower than AED 1,000 or more than AED 100,000 • However, we did not consider as outliers the companies reporting zero employees.

  10. Table 1: Descriptive statistics of nine economic classifications

  11. Figure 1: Histograms for age

  12. Figure 1: Histograms for capital and number of employees (cont.)

  13. FDI, local firms’ productivity and capital labor ratio • Blomström and Kokko (1998): • Through two main ways Knowledge spillovers from foreign affiliates can increase the domestic firms’ productivity: • Competition: (horizontal spillovers) • Cooperation: (vertical spillovers) • Kokko (1994) and Perez (1998): • Human capital spillover to other firms. • Imitation spillovers allowed by proximity to local firms. • Concentration of related industrial activities – Industrial clusters.

  14. FDI, local firms’ productivity and capital labor ratio (cont.) • Greenaway and Kneller (2007): • Positive influence of a higher capital labor ratio has on productivity • There are two channels through which technical learning may lead to a higher capital labor ratio: • Firm’s higher knowledge may lead to a reduction in the total number of employees • New and improved knowledge may come embodied into new equipment • Aitken and Harrison (1999) and Harrison (1994): • competition hypothesis

  15. Econometric analysis • Make up the zero employee: • Assessing the importance of each 33 activity: • Calculate the input (capital or labor):

  16. Econometric analysis (cont.) • Foreign ownership share: • Firm-activity’s relative capital labor ratio: • Regression:

  17. Table 3: Regressions Note: Classical standard errors in parentheses. *** indicates significance at 1%, ** at 5% and * at 10%.

  18. Table 3: Regressions (cont.) Note: Classical standard errors in parentheses. *** indicates significance at 1%, ** at 5% and * at 10%.

  19. Conclusion • UAE and Abu Dhabi have not exploited their potential to attract FDI • In the context of the UAE economy, FDI has a positive impact on local firms capital labor ratio and presumably productivity • Allowing full ownership in certain areas outside the free zone may benefit the UAE.

  20. References • Aitken, B and A. Harrison (1999) “Do domestic firms benefit from direct foreign investment? Evidence from Venezuela” American Economic Review 89, 605-618. • Blomström, M and A. Kokko (1998) “Multinational corporations and spillovers” Journal of Economic Surveys 12, 247-277. • Busse, M and J.L. Groizard (2008) “Foreign Direct Investment, Regulations, and Growth” World Economy 31, 861-86. • Crespo, N and M.P. Fontoura (2007) “Determinant factors of FDI spillovers: what do we really know?” World Development 35, 410-425. • Greenaway, D and R. Kneller (2007) “Firm heterogeneity, exporting and foreign direct investment” The Economic Journal 117, 134-161. • Görg, H. and D. Greenaway (2001) “Foreign direct investment and intra-industry spillovers: a review of the literature” University of Nottingham Research Paper Series No. 37. • Harrison, A. (1994) “Productivity, imperfect competition and trade reform” Journal of International Economics 36, 53-73. • Kokko, A. (1994) “Technology, market characteristics, and spillovers” Journal of development economics 43, 279-293. • Levasseur, S. (2010) “International outsourcing over the business cycle: some intuition for Germany, the Czech Republic and Slovakia” Eastern Journal of European Studies 1, 165-185. • Mina, W. (2012) “Inward FDI in the United Arab Emirates and its Policy Context” Columbia FDI Profiles, ISSN: 2159-2268. • Perez, T. (1997) “Multinational enterprises and technological spillovers: an evolutionary model” Journal of Evolutionary Economics 7, 169-192. • Wagner, J. (2007) “Exports and Productivity: A Survey of the Evidence from Firm‐Level Data” The World Economy 30, 60-82. • World Bank Group (2013) “Doing business 2013: Smarter Regulations for Small and Medium-Size Enterprises” World Bank Publications. • World Trade Organization (2012), International Trade Statistics 2012, Geneva, Switzerland.

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