The World Bank

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The World Bank
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UDA Consulting's Project in Tunisia

Poverty, Forest Dependence and Land Degradation in Tunisia

The study aims to analyse the linkages between poverty, forest dependence and land degradation. The socioeconomic household survey will provide baseline and supplemental evidence to concurrent World Bank projects.

The objective of this study is:

  • to measure poverty robustly in areas of the project using SWIFT methodology;
  • to collect all determinants to later measure forest income with SWIFT methodology; and
  • to provide M&E tools to the ILM project team.

 

UDA Project in Angola, Luanda

Poverty Classification in the City of Luanda, Angola

UDA Consulting conducted a comprehensive household-level survey in the city of Luanda, which allowed for a more precise classification of households by poverty level. The poverty classifications will be used to calibrate and test an innovative approach to develop exceptionally granular poverty maps using high-resolution satellite imagery and machine-learning techniques. The poverty maps will allow Luanda’s water utility company to provide more effective water services through the better targeting of subsidies to the households that most require such assistance.

Tanzania-drm-2

DRM Poverty Study in Dar El Salaam , Tanzania

The project is focused on assessing the relationship between poverty and disaster risk by collecting household information on exposure to flood risk combined with estimates of household expenditure. By using a city-wide representative sample of Dar es Salaam which is over-sampled in areas exposed to flood risk, this study will provide policy relevant information on the impact of floods on households and its relation to poverty on a city level. The study is a component of the Tanzanian Urban Resilience Program to inform investments and activities of the program.

Survey

Firm-level supply chain resilience - Tanzania

The objective of this assignment is to pilot a firm-level supply chain resilience survey in Tanzania to get a better understanding of the economic impact of transport infrastructure disruptions – primarily due to natural disasters. The data collected will directly inform the currently on-going Tanzania Transport Risk Analysis being undertaken by Oxford Analytics, funded by the Corridors for Growth Multi-donor Trust Fund, administered by the World Bank, with the support of UK Aid.

UDA Team Zambia

Measuring Household Resilience Project in Zambia

The results of the assessment will help in (a) understanding the degree to which the planned interventions of Pilot Program for Climate Resilience (PPRC) projects enhance household climate resilience in the communities vulnerable to climate risks; and (b) exploring methodologies to quantitatively measure household climate resilience, which can be used to inform a better design of future PPCR and other projects.

Armenia Forest

Armenia forestry-poverty-energy linkages

Armenia’s forests make up less than 10% of its total land area, and have declined by over 10% since 1993.  Despite its limited and diminishing land area, Armenia’s forests provide important services for the local population and for the national economy.

Training

Tanzania Urban Resilience Program (TURP)

Dar es Salaam is one of the fastest growing cities in Sub-Saharan Africa. Much of the urban growth is unplanned, leading to over-crowding and high pressure on public services and drainage systems. The city is frequently affected by floods, leading to high costs in terms of physical loss, as well as loss of life. Due to climate change, the situation is becoming more urgent as the population is increasingly exposed and vulnerable to frequent floods.

Addis Ababa

Household Survey in the cities of Addis Ababa, Adama and Mekele

The objective of the household survey is to inform the analyses on the demand and affordability of housing in the cities of Addis Ababa, Adama and Mekele. A total of 1600 households need to be enumerated, with 1000 households located in Addis Ababa and 300 households each in Adama and Mekele.