Identifying FDI types: Watch what they do, not what they say or look like

C-Tier
Journal: Economics Letters
Year: 2022
Volume: 213
Issue: C

Authors (2)

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This note compares three different schemes to identify FDI types and documents that correlation among different classification schemes is extremely low. Empirical exercises in line with the proximity-concentration tradeoff hypothesis support the sales information based scheme.

Technical Details

RePEc Handle
repec:eee:ecolet:v:213:y:2022:i:c:s0165176522000428
Journal Field
General
Author Count
2
Added to Database
2026-01-24