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Selection: with tag poverty [15 articles] 


Poverty, health and satellite-derived vegetation indices: their inter-spatial relationship in West Africa

International Health, Vol. 7, No. 2. (March 2015), pp. 99-106,


[Background] Previous analyses have shown the individual correlations between poverty, health and satellite-derived vegetation indices such as the normalized difference vegetation index (NDVI). However, generally these analyses did not explore the statistical interconnections between poverty, health outcomes and NDVI. [Methods] In this research aspatial methods (principal component analysis) and spatial models (variography, factorial kriging and cokriging) were applied to investigate the correlations and spatial relationships between intensity of poverty, health (expressed as child mortality and undernutrition), and NDVI for a large area of West ...


When the appeal of a dominant leader is greater than a prestige leader

Proceedings of the National Academy of Sciences, Vol. 114, No. 26. (27 June 2017), pp. 6734-6739,


[Significance] We examine why dominant/authoritarian leaders attract support despite the presence of other admired/respected candidates. Although evolutionary psychology supports both dominance and prestige as viable routes for attaining influential leadership positions, extant research lacks theoretical clarity explaining when and why dominant leaders are preferred. Across three large-scale studies we provide robust evidence showing how economic uncertainty affects individuals’ psychological feelings of lack of personal control, resulting in a greater preference for dominant leaders. This research offers important theoretical explanations for why, around ...


Mapping indicators of female welfare at high spatial resolution



Improved understanding of geographic variation and inequity in health status, wealth, and access to resources within countries is increasingly being recognized as central to meeting development goals. Development and health indicators assessed at national scales conceal important inequities, with the rural poor often least well represented. High-resolution data on key social and health indicators are fundamental for targeting limited resources, especially where development funding has recently come under increased pressure. Globally, around 80% of countries regularly produce sex-disaggregated statistics at a ...


  1. Alegana, V.A., Atkinson, P.M., Pezzulo, C., Sorichetta, A., Weiss, D., Bird, T., ErbachSchoenberg, E., Tatem, A.J., 2015. Fine resolution mapping of population age-structures for health and development applications. Journal of The Royal Society Interface 12 (105), 20150073+. .
  2. Banerjee, S., Gelfand, A.E., Polasek, W., 2000. Geostatistical modelling for spatial interaction data with application to postal service performance. Journal of statistical planning and inference 90(1), 87-105. .

Exploring the high-resolution mapping of gender-disaggregated development indicators

Journal of The Royal Society Interface, Vol. 14, No. 129. (05 April 2017), 20160825,


Improved understanding of geographical variation and inequity in health status, wealth and access to resources within countries is increasingly being recognized as central to meeting development goals. Development and health indicators assessed at national or subnational scale can often conceal important inequities, with the rural poor often least well represented. The ability to target limited resources is fundamental, especially in an international context where funding for health and development comes under pressure. This has recently prompted the exploration of the potential ...


Supplementary Information from Exploring the high-resolution mapping of gender disaggregated development indicators



[Excerpt: Datasets] The Demographic and Health Surveys (DHS) is a program of national household surveys implemented across a large number of LMICs. The DHS Program collects and analyses data on population demographic and health characteristics through more than 300 surveys in over 90 countries. The gender-disaggregated data we investigated in this report come from DHS datasets. [\n] [...] [Models specification] [::Bayesian model specification] The Gaussian Function (GF) in INLA is represented as a Gaussian Markov Random Function (GMRF). Computations in INLA are carried out using the GMRF by approximating a ...


  1. Alegana, V.A., Atkinson, P.M., Pezzulo, C., Sorichetta, A., Weiss, D., Bird, T., ErbachSchoenberg, E., Tatem, A.J., 2015. Fine resolution mapping of population age-structures for health and development applications. Journal of The Royal Society Interface 12 (105), 20150073+. .
  2. Bosco, C., de Rigo, D., Dijkstra, T.A., Sander, G., Wasowski, J., 2013. Multi-scale robust modelling of landslide susceptibility: regional rapid assessment and catchment robust fuzzy ensemble. IFIP Advances in Information and Communication Technology

Growth mindset tempers the effects of poverty on academic achievement

Proceedings of the National Academy of Sciences, Vol. 113, No. 31. (02 August 2016), pp. 8664-8668,


[Significance] This study is the first, to our knowledge, to show that a growth mindset (the belief that intelligence is not fixed and can be developed) reliably predicts achievement across a national sample of students, including virtually all of the schools and socioeconomic strata in Chile. It also explores the relationship between income and mindset for the first time, to our knowledge, finding that students from lower-income families were less likely to hold a growth mindset than their wealthier peers but that ...


Does land degradation increase poverty in developing countries?

PLoS ONE, Vol. 11, No. 5. (11 May 2016), e0152973,


Land degradation is a global problem that particularly impacts the poor rural inhabitants of low and middle-income countries. We improve upon existing literature by estimating the extent of rural populations in 2000 and 2010 globally on degrading and improving agricultural land, taking into account the role of market access, and analyzing the resulting impacts on poverty. Using a variety of spatially referenced datasets, we estimate that 1.33 billion people worldwide in 2000 were located on degrading agricultural land (DAL), of which ...


(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 27

(February 2014)
Keywords: inrmm-list-of-tags   plant-populations   plant-self-defense   plant-species   plant-species-competition   plant-species-richness   plant-survival   plant-trait   plant-use   plantation   plants   plasticity   platanus-orientalis   platanus-racemosa   platanus-spp   platanus-x-hispanica   platycarya-strobilacea   platymiscium-pinnatum   platypus-sulcatus   plausibility-check   pleurostomophora-richardsiae   pliocene   plumeria-alba   plumeria-rubra   po-plain   poaceae   podocarpus-falcatus   poisonous-plants   poland   polar-ecological-zone   polfc   policy   policy-strategies-for-scientific-uncertainty   pollen   pollen-analysis   pollen-dispersal   pollen-records   pollination   pollinology   pollution   polulation   polydrusus-impressifrons   polygala-myrtifolia   polygraphus-poligraphus   polymath   polymorphism   polypodium   population   population-adaptation   population-decline   population-dynamics   population-growth   population-structuring   population-viability-risk-management   populus-adenopoda   populus-alba   populus-angustifolia   populus-balsamifera   populus-cathayana   populus-deltoides   populus-euphratica   populus-fremontii   populus-grandidentata   populus-ilicifolia   populus-koreana   populus-lasiocarpa   populus-nigra   populus-simonii   populus-spp   populus-szechuanica   populus-tremula   populus-tremuloides   populus-trichocarpa   populus-wettsteinii   populus-x-canescens   populus-x-tomentosa   populus-yunnanensis   porosity   portability   porthetria-dispar   portugal   positional-analysis   post-fire-management   post-fire-regeneration   post-fire-vegetation-dynamics   post-glacial-dispersal   post-glacial-migration   post-normal-science   post-publication-peer-review   postfire-impacts   postfire-recovery   postgis   postglacial-recolonization   postgresql   potential   potential-evapotranspiration   potential-habitat   potential-soil-erosion   potoxylon-melagangai   poverty  


List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( ). ...


A world of difference

Science, Vol. 344, No. 6186. (23 May 2014), pp. 820-821,


Data show why inequality is a hot topic around the world. In the United States, the top 20% of earners take home a whopping 51% of income, and the share of income going to the top 1% has ballooned in the past 30 years, according to data from the U.S. Census Bureau and the World Top Incomes Database. Yet U.S. incomes are more equal than those of many countries, such as South Africa and Brazil, while Norway and Sweden are bastions ...


What the numbers tell us

Science, Vol. 344, No. 6186. (23 May 2014), pp. 818-821,


[Excerpt] In 2011, the wrath of the 99% kindled Occupy movements around the world. The protests petered out, but in their wake an international conversation about inequality has arisen, with tens of thousands of speeches, articles, and blogs engaging everyone from President Barack Obama on down. Ideology and emotion drive much of the debate. But increasingly, the discussion is sustained by a tide of new data on the gulf between rich and poor. This special issue uses these fresh waves of data ...


Matching and mechanisms in protected area and poverty alleviation research

Proceedings of the National Academy of Sciences, Vol. 111, No. 11. (18 March 2014), pp. 3909-3910,


[excerpt] Excitement among social scientists about the discovery of randomized controlled trials has been tempered by the recognition that experimental research and related designs may be infeasible, prohibitively expensive, or even unsuitable for an enormous range of questions of interest to social science and policy (1⇓–3). Recourse to matching-based statistical approaches can enable more transparent causal inference with observational data. The recent upsurge in environmental science writings that use matching techniques borrows from a long and continuing history of such use ...


Quantifying causal mechanisms to determine how protected areas affect poverty through changes in ecosystem services and infrastructure

Proceedings of the National Academy of Sciences, Vol. 111, No. 11. (18 March 2014), pp. 4332-4337,


[Significance] Scholars are accumulating evidence about the effects of environmental programs on social outcomes. Quantifying these effects is important, but to design better programs we need to understand how these effects arise. Little is known about the mechanisms through which ecosystem conservation programs affect human welfare. Our study demonstrates that, with existing data and appropriate empirical designs, scientists and policymakers can elucidate these previously unidentified mechanisms. We estimate how Costa Rica’s protected area system reduced poverty in neighboring communities. Nearly two-thirds ...


Climate policies under wealth inequality

Proceedings of the National Academy of Sciences, Vol. 111, No. 6. (11 February 2014), pp. 2212-2216,


[Significance] One of the greatest challenges in addressing global environmental problems such as climate change, which involves public goods and common-pool resources, is achieving cooperation among peoples. There are great disparities in wealth among nations, and this heterogeneity can make agreements much more difficult to achieve (e.g., regarding implementation of climate change mitigation). This paper incorporates wealth inequality into a public goods dilemma, including an asymmetric distribution of wealth representative of existing inequalities among nations. Without homophily (imitation of like agents), ...


Poverty impedes cognitive function

Science, Vol. 341, No. 6149. (30 August 2013), pp. 976-980,


The poor often behave in less capable ways, which can further perpetuate poverty. We hypothesize that poverty directly impedes cognitive function and present two studies that test this hypothesis. First, we experimentally induced thoughts about finances and found that this reduces cognitive performance among poor but not in well-off participants. Second, we examined the cognitive function of farmers over the planting cycle. We found that the same farmer shows diminished cognitive performance before harvest, when poor, as compared with after harvest, ...


The poor's poor mental power

Science, Vol. 341, No. 6149. (30 August 2013), pp. 969-970,


Few people wish to be poor. Many find it puzzling that those in poverty seem to get stuck in that state, even when there are opportunities to improve one's lot. On page 976 of this issue, Mani et al. (1) provide a possible reason: Poverty-related concerns impair cognitive capacity. Simply put, being poor taps out one's mental reserves. This could explain data showing that the poor are likelier than others to behave in ways that are harmful to health and impede ...

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Integrated Natural Resources Modelling and Management - Meta-information Database.

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Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
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Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.