Research Article
The Impact of Infrastructure Spending in Sub-Saharan Africa: A CGE Modeling Approach
Table 11
Sectoral results for nonproductive investments, import duties funded (values in table are % variations of variables with respect to reference period).
| Variable | Sector | Nonproductive investment (import duties) | Benin | Mali | Senegal | Tanzania | Uganda | Cameroon |
| Va (value added or output) | Crop agriculture | –0.14 | –0.08 | –0.03 | –0.14 | –0.08 | –0.87 | Export agriculture | –0.19 | –0.07 | –0.95 | –0.38 | –0.27 | –0.60 | Mining and gas | | –0.25 | | –0.04 | 0.06 | –0.10 | Industries | –0.65 | –0.15 | –1.08 | –0.25 | –0.64 | –0.60 | Construction | | 0.47 | 1.88 | 0.17 | 1.05 | 5.24 | Private services | –1.10 | –0.14 | –0.35 | –0.09 | –0.12 | –0.52 | Public services | 7.60 | 1.09 | 4.24 | 2.32 | 2.27 | 4.19 |
| pq (market prices) | Crop agriculture | 0.25 | 0.18 | –0.08 | 0.14 | 0.07 | 0.74 | Export agriculture | –1.08 | 0.00 | 0.38 | 0.47 | –0.04 | 1.67 | Mining and gas | | –0.31 | | 0.23 | 1.71 | 0.71 | Industries | 3.38 | 0.65 | 1.69 | 0.54 | 0.02 | 2.65 | Construction | | 0.65 | 6.07 | 0.60 | 0.49 | 2.24 | Private services | 0.80 | 0.35 | 0.28 | 0.10 | 0.15 | 0.73 | Public services | 4.05 | 0.61 | 1.09 | 0.18 | 0.21 | 1.13 |
| r Borrowing rate of capital | Crop agriculture | –0.49 | 0.01 | –0.13 | –0.09 | –0.03 | –0.34 | Export agriculture | –2.42 | –0.44 | –1.19 | –0.49 | –0.45 | –0.42 | Mining and gas | | –1.83 | | –0.51 | 0.40 | –2.84 | Industries | 0.86 | 0.32 | –3.17 | –0.37 | –1.26 | –0.73 | Construction | | 1.39 | 12.88 | 0.58 | 1.91 | 7.12 | Private services | –1.85 | 0.09 | –0.72 | –0.14 | –0.10 | –0.27 |
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