Research Article
The Impact of Infrastructure Spending in Sub-Saharan Africa: A CGE Modeling Approach
Table 16
Sectoral results for electricity investments, VAT funded (values in table are % variations of variables with respect to reference period).
|
Variable | Sector | Electricity (VAT funded) | Benin | Mali | Senegal | Tanzania | Uganda | Cameroon |
| Va (value added or output) | Crop agriculture | –0.06 | 0.01 | 0.00 | –0.07 | –0.04 | –0.27 | Export agriculture | 0.24 | 0.27 | –0.15 | 0.15 | –0.06 | 0.43 | Mining and gas | | 0.41 | | 0.38 | 0.07 | 0.34 | Industries | 1.18 | 1.17 | –0.31 | 0.93 | –0.17 | 0.68 | Construction | | 1.65 | 3.56 | 2.26 | 1.29 | 7.03 | Private services | –0.05 | 0.88 | 0.91 | 0.94 | 0.14 | 0.49 | Public services | 6.96 | 1.03 | 3.51 | 1.85 | 1.88 | 3.61 |
| pq Market prices | Crop agriculture | 1.22 | 0.69 | 0.76 | 0.75 | 0.25 | 1.22 | Export agriculture | 2.60 | 0.45 | 0.54 | 0.54 | 0.15 | 1.41 | Mining and gas | | 0.93 | | 0.80 | 0.20 | 0.46 | Industries | 1.77 | 0.26 | 1.54 | 0.19 | 0.76 | 1.44 | Construction | | 0.34 | 4.89 | 0.63 | 0.73 | 1.37 | Private services | 2.37 | 0.01 | –0.72 | –0.15 | 0.35 | 0.78 | Public services | 3.56 | 0.50 | 1.29 | 0.53 | 0.35 | 1.34 |
| r Borrowing rate of capital | Crop agriculture | 1.12 | 0.74 | 1.20 | 0.62 | 0.19 | 1.03 | Export agriculture | 2.92 | 0.72 | 0.92 | 0.56 | –0.01 | 1.72 | Mining and gas | | 1.27 | | 0.99 | 0.15 | 0.45 | Industries | 0.21 | –0.86 | –0.76 | –0.99 | –1.13 | –1.47 | Construction | | 1.21 | 12.48 | 3.14 | 1.84 | 8.21 | Private services | –2.17 | 0.26 | –0.64 | 0.56 | 0.06 | 0.35 |
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