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brief

Mozambique’s agrifood system structure and drivers of transformation

Mozambique was one of the fastest-growing countries in sub-Saharan Africa between 2009 and 2014, with annual growth averaging about 7 percent (INE 2020; World Bank 2023a).

booklet

Fragility, conflict, and migration

Fragility, Conflict, and Migration addresses challenges to livelihood, food, and climate security faced by some of the most vulnerable populations worldwide.

discussion paper

Public spending and poverty in Mozambique

Poverty reduction strategies often highlight public spending to improve health and education, focusing on investments in human capital among poorer members of society.

brief

Measuring changes in the Mozambique’s agri-food system

Transformation of the agri-food system (AFS) is a leading pathway to achieve the USG Global Food Security Strategy Objective 1 of “Inclusive agriculture-led growth”.

discussion paper

Estimating utility-consistent poverty lines

"The “Cost of Basic Needs” (CBN) approach to drawing consumption-based poverty lines is widely applied and lays credible claim to being the best practice for estimating poverty measures.

discussion paper

Health care demand in rural Mozambique

Despite rapid economic growth in recent years, Mozambique remains a very poor country. Expenditure-based poverty measures are reflected in widespread food insecurity and poor health status.

brief

The robustness of poverty profiles reconsidered

Poverty measures and profiles are used increasingly to guide antipoverty policies in low-income countries. An essential element in these analyses is the specification of a poverty line.

report

Facing the development challenge in Mozambique

Following Mozambique’s economic collapse in 1986, the country began a wide-ranging process of reform, with the support of the international community.
discussion paper

Poverty comparisons with absolute poverty lines estimated from survey data

The objective of measuring poverty is usually to make comparisons over time or between two or more groups. Common statistical inference methods are used to determine whether an apparent difference in measured poverty is statistically significant.