Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Spatial Poverty Mapping× | Multidimensional Poverty Index× | |
|---|---|---|
| Área≠ | Development Studies | Economia |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 2007 | 2011 |
| Autor original≠ | World Bank poverty-mapping programme; Bedi, Coudouel & Simler | Sabina Alkire & James Foster |
| Tipo≠ | Spatial-statistical and GIS method for analysing poverty distribution | Counting-based multidimensional poverty measure |
| Fonte seminal≠ | Henderson, J. V., Storeygard, A., & Weil, D. N. (2012). Measuring Economic Growth from Outer Space. American Economic Review, 102(2), 994-1028. DOI ↗ | Alkire, S., & Foster, J. (2011). Counting and multidimensional poverty measurement. Journal of Public Economics, 95(7–8), 476–487. DOI ↗ |
| Outros nomes | Poverty mapping, Geographic targeting, Poverty maps, Spatial poverty analysis | MPI, Alkire-Foster Method, Adjusted Headcount Ratio, Dual-Cutoff Multidimensional Poverty |
| Relacionados≠ | 4 | 3 |
| Resumo≠ | Spatial poverty mapping visualises and analyses the geographic distribution of poverty using geographic information systems and spatial statistics, turning poverty estimates into maps that reveal where the poor live at fine spatial scales. It combines small-area poverty estimates with spatial covariates — remote-sensing data, night-time lights, accessibility, and terrain — examines spatial patterns and autocorrelation, and supports the geographic targeting of resources. Consolidated through the World Bank programme documented by Bedi, Coudouel, and Simler and energised by data such as the satellite night-lights series analysed by Henderson, Storeygard, and Weil, it has become a standard tool for evidence-based geographic targeting. | The Multidimensional Poverty Index applies the Alkire-Foster method, introduced by Sabina Alkire and James Foster in 2011, to measure poverty as the joint deprivation of individuals across several dimensions such as health, education, and living standards. Its signature is a dual-cutoff identification: a person is deprived in an indicator if they fall below that indicator's cutoff, and they are counted as multidimensionally poor only if their weighted count of deprivations crosses a cross-dimensional cutoff k. The headline measure is the adjusted headcount ratio M0 = H times A, the product of the share of people who are poor (incidence) and the average breadth of their deprivations (intensity). |
| ScholarGateConjunto de dados ↗ |
|
|