Banking Sector Development and Foreign Direct Investment in Developing Countries: Does Political Stability Moderate the Relationship?

This is an Accounting and Finance Master's The full piece is between 8,000 and 11,000 words. It tests one specific question: in Sub-Saharan Africa, does a country's banking sector development attract foreign direct investment, and does that effect depend on how politically stable the country is? Translation: a deep banking sector in a stable country probably attracts FDI; a deep banking sector in an unstable country may not. The dissertation tests whether that intuition holds in the data. Why this matters: FDI flows to developing countries have been falling for three years running, while flows to developed economies have surged. Sub-Saharan Africa is at the sharp end of that bifurcation — and within the region, results vary enormously: nominally similar economies attract very different amounts of foreign capital. Some of that variation is about political stability. Some is about how developed the local banking system is. The interesting question — and the one this dissertation addresses — is whether the two interact. Existing research has mostly studied them as separate determinants. This dissertation closes that gap for Sub-Saharan Africa. What the writer delivers: There are two milestones. The first is a 3,000-word manuscript covering the Introduction, Literature Review, Hypotheses Development, and Methodology — essentially the front half of the dissertation, with no analysis yet. This is due on 15 May 2026, roughly one week from the start of work. The second is the full dissertation, due at 14:00 UK time on 3 August 2026. The full version adds the Analysis, Discussion, and Conclusions sections to the manuscript, and is submitted alongside the cleaned dataset and the Stata .do file used to produce the [login to view URL] 3,000-word manuscript is the urgent piece. Writing it well sets the rest of the dissertation up; writing it badly creates rework later. The full briefing document explains exactly what each of the four sections needs to cover and gives a suggested word budget. The shape of the work: Three formal hypotheses, all testable on a single panel regression in Stata: • H1 — banking sector development raises FDI. • H2 — political stability raises FDI. • H3 — the effect of banking development on FDI is stronger when political stability is higher. This is the dissertation's contribution. It is tested with an interaction term in the regression. The sample is fifteen Sub-Saharan African countries, including Angola, observed annually from 2004 to 2023. All data come from the World Bank's two free public databases: the World Development Indicators (for FDI, banking depth, and three macroeconomic controls) and the Worldwide Governance Indicators (for the Political Stability index). Methodology in two sentences: Quantitative, deductive, panel-data econometrics in Stata. Country and year fixed effects, country-clustered standard errors, and three nested regression specifications (baseline, with interaction, and with lagged independents for robustness). What is and isn't hard about this The technical analysis is not hard — Stata handles panel regressions in a few lines of code, and the diagnostic tests are standard. The data are free and well-documented. There is no fieldwork, no interviewing, no ethical-approval bottleneck. The hard part is the writing. Specifically: making the literature review land as a coherent argument rather than a list of paper summaries, and articulating the H3 contribution clearly enough that a marker sees the gap on first reading. The brief is structured around that — four literature strands, each with a tight handful of papers, ending in a clean three-sentence statement of the gap. The other thing to watch is voice. If the writing reads as if it has been generated by an AI, examiners notice. The brief gives a draft structure; the writer's job is to make it sound like them. Read everything aloud once before submitting. What success looks like: The supervisor's bar is at least a strong 2:1 outcome. To hit that bar, three things matter most: • The literature review tells a story that ends in a gap, not a parade of citations. • The methodology section is precise variables defined exactly, models written out, design choices justified rather than asserted. • The empirical analysis is reproducible anyone with Stata and the submitted dataset can re-run the .do file and get the same numbers. If those three are right, everything else falls into place. If you are award this The full briefing document covers everything in detail assessment criteria, the eight components of the dissertation, the four-strand literature map, all hypotheses derivations, the variables table, the model equations, the Stata pipeline, the day-by-day schedule, and the gidance Harvard reference list.

Project ID: 40426617