Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Be Nice to Thy Neighbours: Spatial Impact of Foreign Direct Investment on Poverty in Africa

Version 1 : Received: 10 April 2022 / Approved: 11 April 2022 / Online: 11 April 2022 (10:58:49 CEST)

How to cite: Arogundade, S.; Biyase, M.; Bila, S. Be Nice to Thy Neighbours: Spatial Impact of Foreign Direct Investment on Poverty in Africa. Preprints 2022, 2022040094 (doi: 10.20944/preprints202204.0094.v1). Arogundade, S.; Biyase, M.; Bila, S. Be Nice to Thy Neighbours: Spatial Impact of Foreign Direct Investment on Poverty in Africa. Preprints 2022, 2022040094 (doi: 10.20944/preprints202204.0094.v1).

Abstract

This study examines the spatial impact of FDI on the poverty of 44 African countries. In achieving this, the study uses the Driscoll-Kraay fixed effect instrumental variable regression, instrumental variable generalised method of moments estimator (IV-GMM), and the spatial durbin model. The empirical investigation of this study yielded four significant findings: (1) neighbouring countries’ FDI has a positive and significant impact on the incidence and intensity of host country’s poverty. (2) Improved institutional quality in neighbouring countries has a significant impact on FDI-poverty reduction nexus of the host country. (3) the empirical results lend support for a significant spatial spillover of poverty in the region. (4) the marginal effect results indicate that countries within the region are no longer in isolation or independent, i.e., the level of poverty in a particular country is influenced by its determinants in the neighbouring country. This result is robust to the alternative proximity matrix, which is the inverse distance. Since there is spatial interdependence among African countries, we recommend that African governments through the African Union (AU) should not only champion the institutional reform in the region, but also establish a binding mechanism to ensure reform implementation.

Keywords

FDI; Driscoll-Kraay fixed effect instrumental variable regression; IV-GMM; Spatial Durbin Model; Poverty; Institutional quality; Africa

Subject

SOCIAL SCIENCES, Economics

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