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AIB 2012 Conference Proceedings - Academy of International ...

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MONDAY<br />

Do the Biggest Aisles Serve a Brighter Future Global Retail Chains and Their Implications for Romania<br />

Yue Li, World Bank<br />

Beata Javorcik, University <strong>of</strong> Oxford and CEPR<br />

During the past two decades many countries have opened their retail sector to foreign direct investment, yet<br />

little is known about the implications <strong>of</strong> such liberalization for the economies <strong>of</strong> host countries. Using a unique<br />

dataset combining outlet-specific information on global retail chains with a panel <strong>of</strong> Romanian manufacturing<br />

firms, this study sheds some light on this question. The results from the difference-in-difference analysis<br />

suggest that the expansion <strong>of</strong> global retail chains led to a significant increase in the total factor productivity in<br />

the supplying industries. Their presence in a region raised the total factor productivity <strong>of</strong> firms in the supplying<br />

industries by 3.8 to 4.7 percent, while doubling the number <strong>of</strong> chains led to an increase <strong>of</strong> 3.3 to 3.7 percent.<br />

The conclusions are robust to a variety <strong>of</strong> specifications and supported by the survey evidence. These findings<br />

suggest that the opening <strong>of</strong> the retail sector to foreign direct investment may stimulate productivity growth in<br />

manufacturing industries through backward linkages, and they provide another piece <strong>of</strong> evidence in favor <strong>of</strong><br />

services liberalization. (For more information, please contact: Yue Li, World Bank, USA: yli7@worldbank.org)<br />

Bi-Directional Technology Spillovers between Foreign and Local Firms: Empirical Evidence from an Emerging<br />

Economy<br />

Gerald Yong Gao, University <strong>of</strong> Missouri-St. Louis<br />

Yao Amber Li, Hong Kong University <strong>of</strong> Science and Technology<br />

Min Ju, University <strong>of</strong> Missouri-St. Louis<br />

We examine the bi-directional technology spillovers between foreign and local firms. Extending the literature <strong>of</strong><br />

FDI spillovers, we focus on new product development as the non-productivity spillovers outcome and further<br />

investigate the possible reverse spillovers effect from local to foreign firms. Moreover, we test whether the<br />

effect <strong>of</strong> technology spillovers is contingent on firm geography. Based on a seven-year panel data <strong>of</strong><br />

manufacturing firms in China, we find strong evidence <strong>of</strong> the two-way technology spillovers. Interestingly,<br />

geographic proximity positively moderates the technology spillovers from foreign on local firms, but it has no<br />

effect on local firms' spillovers on foreign firms. (For more information, please contact: Gerald Yong Gao,<br />

University <strong>of</strong> Missouri-St. Louis, USA: gaogy@umsl.edu)<br />

A Non-Linear Model <strong>of</strong> Technological Spillovers from Foreign Direct Investment (FDI): A Comparison between<br />

Horizontal and Vertical Spillovers<br />

Yoo Jung Ha, University <strong>of</strong> Manchester<br />

Axèle Giroud, University <strong>of</strong> Manchester<br />

This research investigates the non-linear form <strong>of</strong> backward and forward spillovers. To our knowledge, we<br />

present the first findings about the non-linear relationship <strong>of</strong> backward and forward spillovers with local firm<br />

performance. We demonstrate that the relationship <strong>of</strong> horizontal spillovers and backward spillovers with local<br />

firm performance occurs in an inverted-U shape, respectively. Forward spillovers are positive overall and marked<br />

by a constant marginal rate <strong>of</strong> incidence, and thus occurring almost proportionately with rising inward MNE<br />

investments. Based on empirical evidences, we propose a conceptual model where factors <strong>of</strong> curvilinear learning<br />

curve are fixed costs and marginal costs <strong>of</strong> learning. In other words, backward spillovers are underscored by<br />

low fixed costs and rising marginal costs <strong>of</strong> learning, while forward spillovers are underscored by relatively high<br />

fixed costs and constant marginal costs <strong>of</strong> learning. (For more information, please contact: Yoo Jung Ha,<br />

University <strong>of</strong> Manchester, United Kingdom: y.j.ha@sant.oxon.org)<br />

<strong>AIB</strong> <strong>2012</strong> <strong>Conference</strong> <strong>Proceedings</strong><br />

Page 185

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