Angola Infrastructure Report Q2 2016

Date: March 23, 2016
Pages: 32
US$ 1,295.00
Report type: Strategic Report
Delivery: E-mail Delivery (PDF)

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Angola Infrastructure Report Q2 2016
BMI View: The Angolan government will struggle to devote significant financial attention to its key infrastructure projects over 2016 given the wide fiscal deficit and decreased revenues owing to low oil prices. We expect a substantial uptick in growth for the construction sector from 2020 onwards as the country's fiscal position improves, though note the government will need to address pervasive corruption and ease labour market restrictions to attract necessary private investment.

Latest Updates And Structural Trends
  • We are maintaining our forecast of 2.5% real growth in 2016 as the fiscal budget remains in the red owing to low oil prices, thereby diverting funds away from infrastructure development.
  • The second half of our forecast period (2021-2025) will see the highest growth, averaging 6.7% in real terms. This is a result of investment flows into infrastructure to support the oil industry, in line with the expected recovery in Brent Crude oil prices.
  • The USD5.2bn credit line granted by the Chinese government in 2015 will provide support for projects in the utilities and residential sectors and into industrial and commercial construction.
BMI Industry View
  Table: Infrastructure - Construction Industry Forecasts (Angola 2016-2020)
  Table: Infrastructure Risk/Reward Index (Angola)
Infrastructure SWOT
Industry Forecast
Construction And Infrastructure Forecast Scenario
  Table: Angola 10 Year Construction Industry Forecast
Structural Trends
Industry Risk Reward Ratings
Infrastructure Risk/Reward Index
Sub-Saharan Africa Risk/Reward Index - Stabilisation, But Tough Year In 2016
  Table: Sub-Saharan Africa - Infrastructure Risk/Reward Index, Q216
Industry Forecast Methodology
Sector-Specific Methodology
Risk/Reward Index Methodology
Sector-Specific Methodology
  Table: Infrastructure Risk/Reward Index Indicators
  Table: Weighting Of Indicators
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