Generating Disaggregated Poverty Maps: An Application to Vietnam

By N. Minot. 2000

151 citations recorded by the source corpus.

Subfields: Safety Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/0d403d4c118ca0dcfc782065db64cba25915345b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Safety Research

1. David L. Dollar
2. Nisha Agrawal
3. Paul Glewwe
4. Lisa Daniels
5. G. Shively
6. D. Ha
7. N. Minot
8. B. McCaig

In Sociology and Political Science

1. Paul Glewwe
2. David L. Dollar
3. Nisha Agrawal
4. Lisa Daniels
5. G. Shively
6. D. Ha
7. N. Minot
8. B. McCaig

Citations in the corpus

• Coffee Boom, Coffee Bust and Smallholder Response in Vietnam’s Central Highlands (2008, background): “For example, a disaggregated poverty map for Vietnam indicates that poverty rates in southern, coffee-growing districts of the Central Highlands are markedly lower than those in northern districts, where less coffee development has occurred (Minot, 2000).”
• Integrated freshwater aquaculture, crop and livestock production in the Mekong delta, Vietnam: Determinants and the role of the pond (2007, unknown): “According to Prein (2002), a key to the successful operation of IAA-farming is to organize the system in such a way that residues from each component are available at the right time in appropriate quantities and quality.”
• Impact of global cotton markets on rural poverty in Benin (2005, result): “Dercon (1993) estimated an elasticity of 0.63, while Delgado and Minot (2000), using more recent data, obtained an estimate of 1.0.”
• Economic Growth, Poverty, and Household Welfare in Vietnam (2004, methodology): “A useful starting point for this discussion is the results reported by Minot and Goletti (1998). They use the 1993 VLSS to calibrate a structural spatial model of rice markets in Vietnam to simulate the distributional impact of a relaxation of the rice export quota.”
• The spatial distribution of poverty in Vietnam and the potential for targeting (2002, background): “2 Minot and Baulch (2002) show that using aggregated census data underestimates the incidence of poverty when it is below 50 percent and overestimates it when it is above 50 percent.”