Ekemonday/Smart_Revenue_Optimization_Project

A nationwide survey-based research project analysing revenue optimisation opportunities across Nigeria's 36 states and the FCT, using data from 14,000 respondents to identify zone-level patterns and inform data-driven revenue policy recommendations. # Smart Revenue Optimisation Survey — Nigeria (36 States + FCT) ## Project Overview This repository contains the,\ R analysis scripts for the **Smart Revenue Optimisation Project**, a nationwide research effort assessing revenue generation, collection efficiency, and optimisation opportunities across Nigeria. The study covers **14,000 respondents** drawn from all **36 states** and the **Federal Capital Territory (FCT)**, with analysis conducted at the **geopolitical zone level**. ## Objectives - Assess current revenue collection practices and gaps across Nigeria's states and FCT. - Identify zone-level patterns, disparities, and opportunities for revenue optimisation. - Generate actionable, data-driven recommendations for policymakers and revenue authorities. - Provide a reproducible analytical pipeline (in R) for ongoing or future survey waves. ## Geographic Coverage Respondents are grouped into Nigeria's six geopolitical zones for analysis: | Zone | States Covered | |------|-----------------| | North Central | Benue, Kogi, Kwara, Nasarawa, Niger, Plateau, FCT | | North East | Adamawa, Bauchi, Borno, Gombe, Taraba, Yobe | | North West | Jigawa, Kaduna, Kano, Katsina, Kebbi, Sokoto, Zamfara | | South East | Abia, Anambra, Ebonyi, Enugu, Imo | | South South | Akwa Ibom, Bayelsa, Cross River, Delta, Edo, Rivers | | South West | Ekiti, Lagos, Ogun, Ondo, Osun, Oyo | ## Dataset - **Sample size:** 14,000 respondents - **Unit of analysis:** Individual survey respondent, aggregated to state and zone level - **Coverage:** All 36 states + FCT ## Methodology Analysis was conducted in **R**, following this general workflow: 1. **Data cleaning** — handling missing values, recoding variables, validating state/zone mappings. 2. **Descriptive analysis** — response distribution across states and zones. 3. **Zonal aggregation** — grouping state-level data into the six geopolitical zones. 4. **Statistical analysis** — [e.g., comparative tests, regression, correlation — *update b …