Spatial clustering of rural poverty and food insecurity in Sri Lanka

Amarasinghe, Upali A.; Samad, Madar; Anputhas, Markandu

doi:10.1016/j.foodpol.2005.09.006

Cited by 67 publications

(43 citation statements)

References 4 publications

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“…This is demonstrated by the MDG goal to halve the proportion of people without sustainable access to basic sanitation NLSS Electricity Percentage of households with electricity Globally, 1.5 billion peopledapproximately 22% of the world's populationdare without access to electricity (IEA, 2009 Irrigation is undoubtedly beneficial for agricultural production and has been shown to positively impact livelihoods (Brabben, Angood, Skutsch, & Smith, 2004;R Chambers, 1987;Hussain & Biltonen, 2001), with distinct spatial clustering of reduced rural poverty in areas of agricultural growth and irrigation development (Amarasinghe et al, 2005;Palmer-Jones & Sen, 2006).…”

Section: Nlss/dhsmentioning

confidence: 99%

Monitoring socio-environmental change for sustainable development: Developing a Multidimensional Livelihoods Index (MLI)

Donohue

Biggs

2015

Applied Geography

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a b s t r a c tTo enable more effective monitoring of sustainable development for meeting targets of the post-2015 agenda, assessment is required at the sub-national level to better understand the spatial variation in factors which contribute to sustaining livelihoods. In this research we take Nepal as a case study; a nation consistently ranked as one of the poorest in the world. To understand how sustainable development can effectively promote livelihood diversification, we advocate that a multidimensional spatial approach is essential for monitoring social and environmental change to aid decision-making processes. To achieve this, a multidimensional index was created to spatially explore the landscape of livelihoods across rural Nepal. A methodology was developed to quantify the livelihoods asset pentagon (human-physical-socialfinancial-natural) of the Sustainable Livelihoods Framework. 23 socio-environmental indicators were selected to map the multidimensionality of livelihoods at the eco-development area unit level and produce the Multidimensional Livelihoods Index (MLI). Results indicate considerable spatial variability in the factors affecting people's livelihoods across Nepal. In general, the MLI decreases as you move north and east, reflecting changes in the topographic landscape and distance from the Kathmandu Valley Outcomes suggest an effective method for monitoring change at a sub-national level; highlighting potential locations and/or livelihood strategies for improving the targeting of resources (e.g. investment of foreign aid) to facilitate more sustainable development for the future.

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Section: Nlss/dhsmentioning

confidence: 99%

Monitoring socio-environmental change for sustainable development: Developing a Multidimensional Livelihoods Index (MLI)

Donohue

Biggs

2015

Applied Geography

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“…Both FA (Paim 1995, Sahn and Stifel 2000, Petrovici and Gorton 2005 and PCA (Klasen 2000, Filmer and Pritchett 2001, Amarasinghe et al 2005, Moser and Felton 2007, Fujii 2008 have been used in multidimensional poverty analyses. However, because it is uncommon to use these methods to determine whether differences exist between groups, as opposed to identifying and counting those falling under a poverty line, both FA and PCA were used to ensure the robustness of the results and as a check against their misinterpretation.…”

Section: Discussionmentioning

confidence: 99%

Evaluating the Household Level Outcomes of Community Based Natural Resource Management: the Tchuma Tchato Project and Kwandu Conservancy

Suich¹

2013

E&S

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ABSTRACT. Community based natural resource management (CBNRM) programs aim to link the achievement of conservation objectives with those of rural development and poverty alleviation. However, after more than a decade of implementation in southern Africa, there is remarkably little rigorous analysis of their achievements with respect to these goals. An evaluation of two CBNRM interventions, the Tchuma Tchato Project in Mozambique and the Kwandu Conservancy in Namibia, measured the impacts at the household level using multidimensional poverty indices. The analysis found no positive impacts on the multiple dimensions of poverty arising from the Tchuma Tchato initiative in Mozambique. In Kwandu Conservancy in Namibia, positive impacts were felt only on household financial capital on a disappointingly narrow scale. These results have important implications for policy makers and program designers and demonstrate the necessity of developing targeted strategies if poverty alleviation outcomes are to be achieved. Further, if the assumption that the provision of incentives is key to encouraging and maintaining participation in CBNRM is correct, the delivery of appropriate benefits that have a sufficient impact at the household level will be crucial for the long run sustainability of these initiatives.

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“…Similarly, [22] in study on spatial clustering of ru ral poverty in Sri Lanka found that Divisional Secretariat (DS) divisions with a high percentage of poor households are found in four rural districts where ag ricu lture is the main source of livelihood of the majority of households. The clustering of DS div isions of lo w poverty around major urban centres suggests that, in predominantly agricultural areas, poor people have only limited economic opportunities to escape poverty.…”

Section: Review Of Previous Literaturementioning

confidence: 98%

The Landscape of Poverty in Nigeria: A Spatial Analysis Using Senatorial Districts- level Data

Sowunmi¹,

Akinyosoye²,

Okoruwa³

et al. 2012

ECONOMICS

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The study decomposes the Landscape of Poverty in Nigeria based on the significance of spatial contiguity using Senatorial Districts -level Data. The data used for the study were obtained fro m Nat ional Living Standard Survey and Core Welfare Indicators Questionnaire Survey conducted by National Bureau of Statistics in 2004 and 2006 respectively. Exp loratory spatial data analysis and spatial autocorrelation test were carried out on poverty incidence data. Average national poverty rate of the Senatorial Districts (SD) was 56.0%. Forty nine percent of the SD had poverty rate (PR) below the national average. The global Moran's I value obtained is strongly positive (0.6657), indicating that spillover of poverty exist among SD. The study revealed that 52% of the SD with significant spatial association had low PR neighboured by low PR SD (Low-Low), 41% of the SD with high PR were neighboured by high PR SD (High-High) and 7% of SDs with low PR were surrounded by high PR SD (Lo w-High). The mean PR in high-high and low-low SDs was 82.6% and 31.8% respectively. The study recommends that for a significant poverty reduction to be achieved in Nigeria, greater attention in terms of poverty allev iation strategies should be concentrated on the senatorial d istricts that constitute the hotspots of poverty.

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Spatial clustering of rural poverty and food insecurity in Sri Lanka

Cited by 67 publications

References 4 publications

Monitoring socio-environmental change for sustainable development: Developing a Multidimensional Livelihoods Index (MLI)

Monitoring socio-environmental change for sustainable development: Developing a Multidimensional Livelihoods Index (MLI)

Evaluating the Household Level Outcomes of Community Based Natural Resource Management: the Tchuma Tchato Project and Kwandu Conservancy

The Landscape of Poverty in Nigeria: A Spatial Analysis Using Senatorial Districts- level Data

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