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A Big Data Approach to Understand Sub-national Determinants of FDI in Africa
March 18, 2024, 4:47 a.m. | A. Fronzetti Colladon, R. Vestrelli, S. Bait, M. M. Schiraldi
cs.CL updates on arXiv.org arxiv.org
Abstract: Various macroeconomic and institutional factors hinder FDI inflows, including corruption, trade openness, access to finance, and political instability. Existing research mostly focuses on country-level data, with limited exploration of firm-level data, especially in developing countries. Recognizing this gap, recent calls for research emphasize the need for qualitative data analysis to delve into FDI determinants, particularly at the regional level. This paper proposes a novel methodology, based on text mining and social network analysis, to get …
abstract africa arxiv big big data corruption country cs.cl data developing countries econ.em exploration finance gap hinder physics.soc-ph political research trade type
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