Themes / Topics Rural Poverty & Health
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Electric Kettle Promotion Program in Rural China (RCT)

Results from our previous research in rural China suggests that increasing the use of electric kettles for boiling (i.e., treating) drinking water in low-income areas of rural China could help expand access to safer drinking water, reduce household air pollution, and improve environmental and health outcomes in rural Chinese households currently boiling drinking water with solid-fuels (or not treating their water, or drinking contaminated bottled water). Our study was designed (and pre-registered on Chinese Clinical Trials Register & ClinicalTrials.gov) to evaluate the impact of a pilot Rural Electric Kettle Promotion Program offered to low-income households in rural Anhui Province, China. Specifically, we used a parallel arm cohort cluster-randomized controlled (RCT) trial design with a 1:1 ratio to randomize 30 villages (i.e., clusters) to treatment or control using stratified randomization by geography and by cluster proportions of reported electric kettle use at baseline (900 households total).

[Notes: We pre-specified and pre-registered our statistical analysis plan, but data cleaning and analysis were significantly delayed due to the COVID19 pandemic; we anticipate publishing primary findings starting in 2024]

Water & poverty in rural China: Developing an instrument to assess the multiple dimensions of water & poverty

Abstract/Summary: This paper describes the theoretical foundations and development of a multidimensional, water-focused, thematic indicator of rural poverty: The Water, Economy, Investment and Learning Assessment Indicator (WEILAI). The WEILAI approach was specifically designed for application in rural China, to support poverty alleviation project planning, monitoring and evaluation, as well as targeting and prioritization. WEILAI builds primarily on the basic needs framework of poverty alleviation, and on the methodological structure of the Water Poverty Index, to provide a proxy measure of an area’s poverty by assessing eight key poverty sectors, with a strong focus on the components of water-poverty. The WEILAI approach was piloted and implemented in 534 households in China’s mountainous southwest. This paper describes the indicator construction, weighting schemes, methodology, field sites, and statistical validation of the results. In addition, we discuss the results, feedback from in-country project staff, and the likely utility of the tool for project planning, monitoring and evaluation support. The paper concludes with a discussion of WEILAI’s overall utility and ongoing development.

Microbiological evaluation of household drinking water treatment in rural China shows benefits of electric kettles: A cross-sectional study

Abstract: Background – In rural China ~607 million people drink boiled water, yet little is known about prevailing household water treatment (HWT) methods or their effectiveness. Boiling, the most common HWT method globally, is microbiologically effective, but household air pollution (HAP) from burning solid fuels causes cardiovascular and respiratory disease, and black carbon emissions exacerbate climate change. Boiled water is also easily re-contaminated. Our study was designed to identify the HWT methods used in rural China and to evaluate their effectiveness. Methods – We used a geographically stratified cross-sectional design in rural Guangxi Province to collect survey data from 450 households in the summer of 2013. Household drinking water samples were collected and assayed for Thermotolerant Coliforms (TTC), and physicochemical analyses were conducted for village drinking water sources. In the winter of 2013–2104, we surveyed 120 additional households and used remote sensors to corroborate selfreported boiling data. Findings – Our HWT prevalence estimates were: 27.1% boiling with electric kettles, 20.3% boiling with pots, 34.4% purchasing bottled water, and 18.2% drinking untreated water (for these analyses we treated bottled water as a HWT method). Households using electric kettles had the lowest concentrations of TTC (73% lower than households drinking untreated water). Multilevel mixed-effects regression analyses showed that electric kettles were associated with the largest Log10TTC reduction (-0.60, p<0.001), followed by bottled water (-0.45, p<0.001) and pots (-0.44, p<0.01). Compared to households drinking untreated water, electric kettle users also had the lowest risk of having TTC detected in their drinking water (risk ratio, RR = 0.49, 0.34–0.70, p<0.001), followed by bottled water users (RR = 0.70, 0.53–0.93, p<0.05) and households boiling with pots (RR = 0.74, 0.54–1.02, p = 0.06). Conclusion: As far as we are aware, this is the first HWT-focused study in China, and the first to quantify the comparative advantage of boiling with electric kettles over pots. Our results suggest that electric kettles could be used to rapidly expand safe drinking water access and reduce HAP exposure in rural China.

Predictors of drinking water boiling & bottled water consumption in rural China: A hierarchical modeling approach

Abstract/Summary: Approximately two billion people drink unsafe water. Boiling is the most commonly used household water treatment (HWT) method globally and in China. HWT can make water safer, but sustained adoption is rare and bottled water consumption is growing. To successfully promote HWT, an understanding of associated socioeconomic factors is critical. We collected survey data and water samples from 450 rural households in Guangxi Province, China. Covariates were grouped into blocks to hierarchically construct modified Poisson models and estimate risk ratios (RR) associated with boiling methods, bottled water, and untreated water. Female-headed households were most likely to boil (RR = 1.36, p < 0.01), and among boilers those using electric kettles rather than pots had higher income proxies (e.g., per capita TV ownership RR = 1.42, p < 0.01). Higher-income households with younger, literate, and male heads were more likely to purchase (frequently contaminated) bottled water, or use electric kettles if they boiled. Our findings show that boiling is not an undifferentiated practice, but one with different methods of varying effectiveness, environmental impact, and adoption across socioeconomic strata. Our results can inform programs to promote safer and more efficient boiling using electric kettles, and suggest that if rural China’s economy continues to grow then bottled water use will increase.

InnoWat: Water, innovations, learning & rural livelihoods

Abstract/Summary: The International Fund for Agricultural Development (IFAD) is a specialized agency of the United Nations dedicated to eradicating poverty in the rural areas of developing countries. Seventy-five per cent of the world’s poorest people, 800 million women, men and children, live in rural areas. Most depend on agriculture to survive. The IFAD team working on agricultural water management and rural infrastructure is developing its operational approach to water and rural poverty (WRP), under the aegis of the project for Learning and Knowledge on Innovations in Water and RuralPoverty (InnoWat). In light of the changing rural context within which poor rural people find themselves, the overall goal of InnoWat is essentially twofold:• strengthen IFAD capacity as a knowledge management broker for development partners interested in WRP, in accordance with IFAD’s mandate; and• provide IFAD country programme managers (CPMs) and their design teams with practical tools for project development, implementation and pro-poor, water related interventions. The team has created the present kit – InnoWat: Water, innovations, learning and rurallivelihoods1 – with the expectation that it will be useful to IFAD CPMs and will enhance IFAD’s comparative advantage with respect to rural poverty reduction and water issues.

The Rural Water Livelihoods Index. Working Paper

Abstract/Summary: The Rural Water Livelihood Index (RWLI) is calculated on the basis of components and indicator values representing each of these four dimensions. The resulting composite index reflects the values for these four dimensions, and on this basis, judgements can be made on how water management might be improved. Each of the four dimensions (components) of the RWLI are represented by two subcomponents, which are combined using a weighted average. In this report, this framework is applied at the national scale, but the approach can be used at any scale as long as appropriate data is available. The purpose of the RWLI is to provide policy makers and planners at the national level an overview of where their country stands relative to others (much like the Human Development Index), and relative to themselves over time, to examine and monitor progress being made as a result of actions taken. This in turn will hopefully allow for better targeted water related interventions to improve rural livelihoods. Through the measurement of these key components, it will be possible to assess which of the four dimensions are most likely to benefit from interventions. Appropriate interventions are context-specific and will have to be identified on a country-by-country basis since contexts differ so widely (i.e., responses to address the reported states will be country and site-specific). However, a general Response Matrix is being developed to provide planners and policy makers a conceptual framework to guide this process and at a macro-level the index values help national-level planners identify which sectors might be most in need of assistance.

The Multidimensional Poverty Assessment Tool: Brochure (& Infographics)

Abstract/Summary: The Multidimensional Poverty Assessment Tool (MPAT) provides data that can inform all levels of decision making by providing a clearer understanding of rural poverty at the household and village level. As a result, MPAT can significantly strengthen the planning, design, monitoring and evaluation of a project, and thereby contribute to rural poverty reduction.

This brochure explains:

    • What MPAT is
    • How MPAT works
    • When to use MPAT and why
    • How to use MPAT
    • What resources are available for implementing MPAT

The tool allows project managers, government officials, researchers and others to identify and monitor sectors that require support in order to reduce rural poverty and improve livelihoods. It also provides an objective means of justifying resource allocation or planning priorities. MPAT is based on a bottom-up, participatory approach that reflects communities’ voices, wants and perspectives.

The Multidimensional Poverty Assessment Tool: User’s Guide

Abstract/Summary: The Multidimensional Poverty Assessment Tool (MPAT) provides a method for simplifying the complexity of rural poverty in order to support poverty alleviation efforts. MPAT uses thoroughly designed and tested purpose-built surveys to collect data on people’s perceptions about fundamental and interconnected aspects of their lives, livelihoods and environments. Standardized indicators, developed through a comprehensive participatory process, are then employed to combine, distil and present these data in an accessible way. MPAT was developed through a participatory, collaborative process based on expert feedback from dozens of international development experts from IFAD, other United Nations agencies, international and regional organizations, and universities from around the world. It was field-tested in countries in both Asia and Africa. In the pages that follow, we explain what MPAT is, how it works and how it is used, providing step-by-step instructions, training materials and other resources. The ultimate objective of this User’s Guide and the accompanying Excel Spreadsheet is to make MPAT a truly free and open-source tool, so that any institution or agency, big or small, may implement MPAT on its own.

The Multidimensional Poverty Assessment Tool: Design, development & application of a new framework for measuring rural poverty

Abstract/Summary: The purpose of this book is to describe the theoretical foundations upon which the Multidimensional Poverty Assessment Tool (MPAT) was built, to tell the story of how it was created, developed, tested and piloted in rural China and India, and to explain how MPAT can be used to benefit rural communities around the world. Lasting poverty alleviation is achieved by fostering a comprehensive enabling environment within which people have a sufficiently high level of well-being and are able to pursue their livelihood goals based on their aspirations and initiative. To ensure that such environments are in place requires, at a minimum, an understanding of the key constraints rural people face – the fundamental dimensions central to their lives and livelihoods. MPAT does not try to define rural poverty per se; rather it takes a step back from assessment modalities that are overly focused on economic- and consumption-oriented indicators and strives to provide an overview of fundamental and relatively universal dimensions germane to rural livelihoods, rural life, and thus to rural poverty. By summarizing rural communities’ perceptions about key dimensions of rural poverty and focusing them through a quantitative lens, MPAT transparently illuminates problem areas so that all stakeholders can see where deficiencies lie and can begin to discuss which interventions may be most appropriate to address them, based on the local context.