Research Article
The Impact of Infrastructure Spending in Sub-Saharan Africa: A CGE Modeling Approach
Table 19
Sectoral results for telecom investments, funded by foreign aid (values in table are % variations of variables with respect to reference period).
| Variable | Sector | Telecom (foreign aid) | Benin | Mali | Senegal | Tanzania | Uganda | Cameroon |
| Va (value added or output) | Crop agriculture | 0.26 | 0.28 | 0.37 | 0.20 | 0.08 | –0.43 | Export agriculture | 0.34 | 0.37 | –0.22 | 0.04 | –0.40 | –0.07 | Mining and gas | | –0.06 | | 0.29 | 0.92 | 0.04 | Industries | –1.64 | 0.39 | –0.53 | 0.44 | –1.33 | 0.18 | Construction | | 1.59 | 2.56 | 0.93 | 1.92 | 7.75 | Private services | –0.48 | 0.46 | 0.38 | 0.51 | 0.04 | 0.03 | Public services | 2.62 | 0.79 | 3.59 | 1.70 | 3.65 | 3.17 |
| pq Market prices | Crop agriculture | –0.30 | 0.19 | –0.78 | 0.07 | –0.15 | 0.68 | Export agriculture | –0.55 | –0.23 | –0.66 | 0.07 | –0.46 | 0.80 | Mining and gas | | –0.34 | | –1.06 | –9.60 | –5.42 | Industries | 0.51 | –0.83 | –1.79 | –0.51 | –4.39 | –0.68 | Construction | | –0.04 | 5.41 | –0.03 | –1.52 | –0.17 | Private services | –0.56 | –0.03 | –1.26 | –0.31 | –1.82 | 0.10 | Public services | 6.07 | 0.47 | 0.38 | 0.23 | –1.74 | 0.93 |
| r Borrowing rate of capital | Crop agriculture | 0.04 | 0.55 | 1.68 | 0.29 | 0.28 | 0.48 | Export agriculture | –0.38 | –0.18 | –0.19 | –0.14 | –0.76 | 0.44 | Mining and gas | | –2.09 | | 0.74 | 4.32 | –6.75 | Industries | 5.60 | 1.59 | –1.77 | 0.84 | –2.67 | 1.25 | Construction | | 2.37 | 15.80 | 0.80 | 3.23 | 9.90 | Private services | –3.02 | 0.50 | –0.98 | 0.13 | 0.10 | 0.25 |
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