Title
Us County-Level Determinants Of Inbound Fdi: Evidence From A Two-Step Modified Count Data Model
Keywords
County-level; Environmental regulations; Foreign Direct Investment (FDI); Q28; R28
Abstract
We employ a two-step modified count data model to determine the county-level attributes that are conducive to attracting new foreign plants. Our estimation results indicate that previous counts of foreign direct investment, market size and accessibility, and land area are positively related to Foreign Direct Investment (FDI) occurrences; while higher input costs deter new foreign firm entry. Contrary to anecdotal evidence, our results suggest that stringent environmental regulations do not have a negative impact on FDI inflows. These findings have significant implications for policymakers, as flows of FDI are expected to increase dramatically given the economic integration of our global economy. © 2001 Elsevier Science B.V.
Publication Date
5-1-2001
Publication Title
International Journal of Industrial Organization
Volume
19
Issue
6
Number of Pages
953-973
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/S0167-7187(99)00051-X
Copyright Status
Unknown
Socpus ID
0035372486 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0035372486
STARS Citation
List, John A., "Us County-Level Determinants Of Inbound Fdi: Evidence From A Two-Step Modified Count Data Model" (2001). Scopus Export 2000s. 252.
https://stars.library.ucf.edu/scopus2000/252