US county-level determinants of inbound FDI: evidence from a two-step modified count data model

John List

Natural Field Experiments from The Field Experiments Website

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.

Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (82)

Downloads: (external link)
http://s3.amazonaws.com/fieldexperiments-papers2/papers/00515.pdf

Related works:
Journal Article: US county-level determinants of inbound FDI: evidence from a two-step modified count data model (2001)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:feb:natura:00515

Access Statistics for this paper

More papers in Natural Field Experiments from The Field Experiments Website
Bibliographic data for series maintained by Francesca Pagnotta ().