Agglomeration, Adjustment, and State Policies in the Location of Foreign Direct Investment in the United States

By Gustavo J. Bobonis, H. Shatz. Review of Economics and Statistics, 2007

172 citations recorded by the source corpus.

Subfields: Accounting, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/a6b5f20fc0daa045387c4976e50b68a8c0ad3434

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Citations in the corpus

Roll Out the Red Carpet and They Will Come: Investment Promotion and FDI Inflows† (2011, background): “In contrast, Bobonis and Shatz (2007), who analyse determinants of the FDI stock in US states from eight source countries using Arellano-Bond dynamic panel data estimator, reach the opposite conclusion.”
The Location Choice of Foreign Direct Investments: Empirical Evidence and Methodological Challenges (2017, background): “To address these challenges, some researchers have tried to find instrumental variables that could influence MNE's decision in FDI location choice (e.g., Bobonis & Shatz, 2007).”
Globalisation: Countries, Cities and Multinationals (2009, background): “The result is that foreign direct investment grew by almost six-fold between 1970 and 1999 (Bobonis and Shatz 2007), with 30-40% of US trade now accounted for by intra-firm trade flows within multinational firms (Lai and Zhu 2006).”
Finding a Home away from Home (2014, background): “I also included the state corporate tax rate , measured as the maximum corporate tax rate charged by the state in the year before entry (Bobonis and Shatz, 2007).”
FOREIGN DIRECT INVESTMENT AND URBAN CONCENTRATIONS: UNBUNDLING SPATIAL LAGS a (2009, unknown): “8Coughlin and Segev (2000), however, offer within-country evidence that U.S. FDI in Chinese provinces is positively related to U.S. FDI in neighboring provinces. Amiti and Javorcik (2008) find, using information on 515 Chinese industries at the provincial level during 1998–2001, that access to marke”
The Global Agglomeration of Multinational Firms (2014, background): “=0 h f w;kek( ) f w;kek( ) i : (6) Note that PT =0 f M kek ( ) andPT =0 fM w;kek( ), the sum of distance density from = 0 to = T , capture the probability of MNC establishments in a given industry pair agglomerating with one another within a threshold distance T .”