Financial Reforms and Determinants of FDI: Evidence from Landlocked Countries in Sub-Saharan Africa
Husam Rjoub; Mehmet Ağa; Ahmad Abu Alrub; Murad A. Bein · 2017 · Economies
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
The recognition of Foreign Direct Investment (FDI) as a source of funding to foster economic development in both developed and developing countries has been in ascendancy. The prime purpose of this study is to empirically investigate the determinants of FDI for the “landlocked countries” in Sub-Saharan Africa over the period 1995–2013. By employing panel data analysis, the result of the study revealed that domestic investment, trade (openness), human capital, political constraint, natural resource endowment and the market size (with the GDP growth as proxy) as having positive impact on determi
Abstract by Husam Rjoub; Mehmet Ağa; Ahmad Abu Alrub; Murad A. Bein, Economies (2017) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
The influence of relational competencies on supply chain resilience: a relational view
Negative / Null Result ReportJob satisfaction and organizational commitment effect in the transformational leadership towards employee performance
Negative / Null Result ReportDynamic capabilities and their indirect impact on firm performance
Negative / Null Result ReportDo Socially Responsible Firms Pay More Taxes?
Negative / Null Result ReportThe Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance
Negative / Null Result ReportPine and Gilmore's Concept of Experience Economy and Its Dimensions: An Empirical Examination in Tourism
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.3390/economies5010001