# Kenya Input-Output Model for Sectoral Analysis
A prototype Leontief input-output model for Kenya's economy, constructed with official
production accounts data from the **KNBS Economic Survey 2025**.
## Overview
The model estimates inter-sectoral production linkages across eight aggregated sectors of the
Kenyan economy using a demand-driven input-output framework. It provides a quantitative basis
for assessing sectoral spillovers from fiscal stimulus and structural transformation strategies.
## Analytical Scope
- **Inter-sectoral linkages** — technical coefficients and Leontief inverse estimation
- **Output multipliers** — total economy-wide output per unit increase in sectoral final demand
- **Backward and forward linkages** — Rasmussen–Hirschman classification of key sectors
- **Demand shock simulation** — spillover effects of a 10% Manufacturing expansion
- **Policy-relevant insights** — implications for industrial strategy, agro-industrial linkages,
and infrastructure investment
## Key Findings
- Manufacturing exhibits the highest intermediate consumption ratio (0.68), confirming deep
inter-industry linkages and its potential as a driver of aggregate output growth.
- A 10% positive demand shock in Manufacturing generates measurable spillover effects across
all sectors, with Agriculture and Transport capturing the largest indirect impacts.
- Agriculture remains the dominant GDP contributor (22.5% in 2024) and plays a critical
upstream supply role in the production system.
## Data Source
Kenya National Bureau of Statistics (2025). *Economic Survey 2025*. Nairobi, Kenya.
Tables 2.1, 2.4, 2.6. ISBN: 978-9966-102-49-2.
## Usage
```r
# Open in RStudio and knit
rmarkdown::render("kenya_io_model.Rmd")
```
**Requirements:** `ggplot2`, `reshape2`
## Repository Structure
```
kenya-io-model/
├── kenya_io_model.Rmd # Source R Markdown
├── docs/
│ └── index.html # Rendered report (GitHub Pages)
├── README.md
├── .gitignore
└── IO_model.Rproj
``` …