Country clustering applied to the water and sanitation sector: A new tool with potential applications in research and policy

The fields of global health and international development commonly cluster countries by geography and income to target resources and describe progress. For any given sector of interest, a range of relevant indicators can serve as a more appropriate basis for classification. We create a new typology of country clusters specific to the water and sanitation (WatSan) sector based on similarities across multiple WatSan-related indicators. After a literature review and consultation with experts in the WatSan sector, nine indicators were selected. Indicator selection was based on relevance to and suggested influence on national water and sanitation service delivery, and to maximize data availability across as many countries as possible. A hierarchical clustering method and a gap statistic analysis were used to group countries into a natural number of relevant clusters. Two stages of clustering resulted in five clusters, representing 156 countries or 6.75 billion people. The five clusters were not well explained by income or geography, and were unique from existing country clusters used in international development. Analysis of these five clusters revealed that they were more compact and well separated than United Nations and World Bank country clusters. This analysis and resulting country typology suggest that previous geography- or income-based country groupings can be improved upon for applications in the WatSan sector by utilizing globally available WatSan-related indicators. Potential applications include guiding and discussing research, informing policy, improving resource targeting, describing sector progress, and identifying critical knowledge gaps in the WatSan sector

Social Costs of Mass Privatization

According to leading economic theorists, creating capitalism out of communism requires rapid privatization. In this article we empirically test the welfare implications of privatization policies in Post-Soviet countries by using cross-national panel mortality data as an indicator of social costs. We find that rapid privatization ñ whether measured by a novel measure of mass privatization program implementation or Enterprise Bank for Reconstruction and Development privatization outcome scores ñ is a critical determinant of life expectancy losses, and that when privatization policies are reversed, life expectancy improves. Using selection models, we show that endogeneity understates the social costs of rapid privatization.http://deepblue.lib.umich.edu/bitstream/2027.42/64393/1/wp890.pd

A holistic and participatory information system for rural water and sanitation sector in Latin America and the Caribbean

The provision of water supply, sanitation and hygiene services has emerged as a top priority in the development agenda in Latin American and the Caribbean. In light of the investments envisaged to reach the targets set by the Sustainable Development Goals (SDGs), information systems (IS) will play a key role in improving decision-making. In this context, this article introduces a global IS which is increasingly implemented in a number of countries across Latin America and the Caribbean as a policy instrument to support national and local decision-making: the Rural Water Supply and Sanitation Information System (SIASAR). This information system includes a comprehensive framework for data collection, data analysis and data dissemination that simultaneously fulfils different stakeholders’ needs. This article analyses these three key monitoring issues from the viewpoint of stakeholders’ involvement. Results indicate that SIASAR represents a suitable monitoring framework to analyse sustainable services and the level of service delivered. Additionally, it is highlighted the advantages of adopting a continued participatory approach in system development, namely i) the stimulation of experience exchange and knowledge sharing among recipient counties, ii) the promotion of learnt-by-doing, and iii) an increase of regional understanding, collaboration and comparison.Postprint (published version

Sub-Saharan Africa at a crossroads: a quantitative analysis of regional development

This repository item contains a single issue of The Pardee Papers, a series papers that began publishing in 2008 by the Boston University Frederick S. Pardee Center for the Study of the Longer-Range Future. The Pardee Papers series features working papers by Pardee Center Fellows and other invited authors. Papers in this series explore current and future challenges by anticipating the pathways to human progress, human development, and human well-being. This series includes papers on a wide range of topics, with a special emphasis on interdisciplinary perspectives and a development orientation.Sub-Saharan Africa is at a crossroads of development. Despite a quarter of a century of economic reforms propagated by national policies and international financial agencies and institutions, sub-Saharan Africa is still lagging in development. In this paper, the authors adopt two techniques using both qualitative (e.g. governance) and quantitative factors (e.g., GDP) to examine regional patterns of development in sub-Saharan Africa. More specifically, they examine and analyze similarities and differences among the countries in this region using a multivariate statistical technique, Principal Component Analysis (PCA), and a unsupervised neural network called Kohonen’s Self-Organizing Map (SOM) to cluster levels of development. PCA serves as a tool for determining regional patterns while SOM is more useful for determining continental patterns in development. Both PCA and SOM results show a “developed” cluster in Southern Africa (South Africa, Namibia, Botswana, and Gabon). SOM exhibits a cluster of least developed countries in southern Western Africa and western Central Africa. The results demonstrate that the applied techniques are highly effective to compress multidimensional qualitative and quantitative data sets to extract relevant information about development from a policy perspective. Our analysis indicates the significance of governance variables in some clusters while a combination of variables explains other regional clusters. Zachary Tyler works for a consulting firm in Massachusetts that conducts program evaluations for energy efficiency programs, and he continues to work on statistical and geospatial analyses of human development issues. In 2010, he will receive a master’s degree in energy and environmental analysis from Boston University. Sucharita Gopal is Professor and Director of Graduate Studies in the Department of Geography and Environment and a member of the Cognitive & Neural Systems (CNS) Technology Lab at Boston University. She teaches and conducts research in geographical information systems (GIS), spatial analysis and modeling, and remote sensing for environmental and public health applications. Her recent research includes the development of a marin integrated decision analysis system (MIDAS) for Belize, Panama, and Massachusetts, and a post-disaster geospatial risk model for Haiti. This paper is part of the Africa 2060 Project, a Pardee Center program of research, publications, and symposia exploring African futures in various aspects related to development on continental and regional scales. For more information, visit www-staging.bu.edu/pardee/research/

Monitoring and evaluation of human resources for health: an international perspective

BACKGROUND: Despite the undoubted importance of human resources to the functions of health systems, there is little consistency between countries in how human resource strategies are monitored and evaluated. This paper presents an integrated approach for developing an evidence base on human resources for health (HRH) to support decision-making, drawing on a framework for health systems performance assessment. METHODS: Conceptual and methodological issues for selecting indicators for HRH monitoring and evaluation are discussed, and a range of primary and secondary data sources that might be used to generate indicators are reviewed. Descriptive analyses are conducted drawing primarily on one type of source, namely routinely reported data on the numbers of health personnel and medical schools as covered by national reporting systems and compiled by the World Health Organization. Regression techniques are used to triangulate a given HRH indicator calculated from different data sources across multiple countries. RESULTS: Major variations in the supply of health personnel and training opportunities are found to occur by region. However, certain discrepancies are also observed in measuring the same indicator from different sources, possibly related to the occupational classification or to the sources' representation. CONCLUSION: Evidence-based information is needed to better understand trends in HRH. Although a range of sources exist that can potentially be used for HRH assessment, the information that can be derived from many of these individual sources precludes refined analysis. A variety of data sources and analytical approaches, each with its own strengths and limitations, is required to reflect the complexity of HRH issues. In order to enhance cross-national comparability, data collection efforts should be processed through the use of internationally standardized classifications (in particular, for occupation, industry and education) at the greatest level of detail possible

The ubiquity of state fragility : fault lines in the categorisation and conceptualisation of failed and fragile states

In the last three decades, the categories of fragile and failed states have gained significant importance in the fields of law, development, political science and international relations. The wider discourse plays a key role in guiding the policies of international community and multilateral institutions and has also led to the emergence of a plethora of indices and rankings to measure and classify state fragility. A critical and theoretical analysis of these matrices brings to light three crucial aspects that the current study takes as its departure point. First, the formulas and conceptual paradigms show that fragility of states is far more ubiquitous than is generally recognised, and that the so-called successful and stable states are a historical, political and geographical anomaly. Second, in the absence of an agreed definition of a successful state or even that of a failed or fragile state, the indicators generally rely on negative definitions to delineate the failed and fragile state. They generally suggest that their reading is built on a Weberian ideal–typical state, which takes the idea of monopoly over legitimate violence as its starting point. The third and final point suggests that the indicators and rankings, misconstruing the Weberian ideal–typical state, actually end up comparing fragile states against an ideal–mythical state. The article argues that this notional state is not only ahistorical and apolitical, but it also carries the same undertones that have been the hallmark of theories of linear development, colonialism and imperialism

Fecal contamination of drinking-water in low- and middle-income countries: a systematic review and meta-analysis

Background: access to safe drinking-water is a fundamental requirement for good health and is also a human right. Global access to safe drinking-water is monitored by WHO and UNICEF using as an indicator “use of an improved source,” which does not account for water quality measurements. Our objectives were to determine whether water from “improved” sources is less likely to contain fecal contamination than “unimproved” sources and to assess the extent to which contamination varies by source type and setting.Methods and findings: studies in Chinese, English, French, Portuguese, and Spanish were identified from online databases, including PubMed and Web of Science, and grey literature. Studies in low- and middle-income countries published between 1990 and August 2013 that assessed drinking-water for the presence of Escherichia coli or thermotolerant coliforms (TTC) were included provided they associated results with a particular source type. In total 319 studies were included, reporting on 96,737 water samples. The odds of contamination within a given study were considerably lower for “improved” sources than “unimproved” sources (odds ratio [OR] = 0.15 [0.10–0.21], I2 = 80.3% [72.9–85.6]). However over a quarter of samples from improved sources contained fecal contamination in 38% of 191 studies. Water sources in low-income countries (OR = 2.37 [1.52–3.71]; p<0.001) and rural areas (OR = 2.37 [1.47–3.81] p<0.001) were more likely to be contaminated. Studies rarely reported stored water quality or sanitary risks and few achieved robust random selection. Safety may be overestimated due to infrequent water sampling and deterioration in quality prior to consumption.Conclusion: access to an “improved source” provides a measure of sanitary protection but does not ensure water is free of fecal contamination nor is it consistent between source types or settings. International estimates therefore greatly overstate use of safe drinking-water and do not fully reflect disparities in access. An enhanced monitoring strategy would combine indicators of sanitary protection with measures of water qualit

Working Paper 83 - Are African Countries Richer Than They Are Developed? A Multidimensional Analysis of Well-Being

Sen’s capability approach inspired a new conception of development and succeeded in the Human Development Index (HDI). On the basis of HDI critics, we propose to enlarge the number of variables and we use 9 indicators of Standard of Living and 9 indicators of Quality of Life that allows measuring two components of well-being and that can be divided into various fields (health, education, environment, etc.) to provide a finest measurement of poverty. The empirical results for 170 countries in 2000 are based on two different multidimensional analysis of poverty, the Totally Fuzzy Analysis and the Factorial Analysis of Correspondences. The conclusions depend on the considered method but are generally similar. The paper focuses on the African continent and shows that some countries are “richer” than “developed” or inversely. The correlation matrix between different indicators reveals that education is a key variable for defining poverty. Comparisons extended with HDI classification and GDP per capita classification prove that monetary poverty is related with all other dimensions of poverty and that the HDI takes into account its essential dimension even if it can’t be used to reduce some specific aspects as our original index.

The impact of the global financial crisis on industry growth

© 2014 The Authors. The Manchester School published by The University of Manchester and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.This article has been made available through the Brunel Open Access Publishing Fund.This article investigates the real effects of the recent global financial crisis by using industry panel data across 82 countries. We find that industry growth indicators experienced a sharp drop following the crisis. However, a closer inspection indicates that an adverse effect is pronounced in industries that are more dependent on external finance, and also in those industries that rely on trade credit due to under-developed financial intermediation. It is also found that low- and lower-middle income countries tend to experience a lesser impact on growth. These findings provide new evidence of the negative externalities associated with credit-market friction