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Wastewater & Coastal Environmental Health in the Philippines

This research collaboration between colleagues at the University of California Berkeley (UCB) and the University of the Philippines (UPD) was designed to advance methods for measuring, modelling, and assessing marine water quality and environmental health at three sites in the Philippines. One of the three study sites for this multi-year project is Boracay Island. A popular tourist destination, in recent years sewage and other contaminants have adversely impacted Boracay’s beaches and coastal water quality, with implications for both environmental and human health. This research project centers on the use of an autonomous surface vessel to collect a wide range of spatially referenced data which can be combined with data from water samples and lab-based analyses, as well as satellite and other remote sensed data. At the Boracay site, proxy sensor data (e.g., optical brighteners and tryptophan) and laboratory analyses of grab samples will be combined to map and model actual and estimated water quality and environmental health impacts from point and non-point runoff and wastewater effluent. Our planned research activities and associated timelines suffered from a variety of logistical setbacks and delays, as well as delays related to the COVID-19 Pandemic. We anticipate publishing findings from this work starting in 2023.

Developing a Thematic Indicator for Rural Poverty Assessment (MPAT)

The Multidimensional Poverty Assessment Project was a collaborative, international initiative to develop, test, and pilot a new tool for local-level rural poverty assessment. The work was supported by IFAD and guided by a Sounding Board of experts from IFAD, other United Nations agencies, international and regional organizations, and universities around the world, with the majority of its members coming from the Asia region where we developed and tested the tool in China and India. Surveys (household and village level) were developed and tested in an iterative and participatory fashion, as was the indicator structure used to aggregate sub-components and components. The resulting Multidimensional Poverty Assessment Tool (MPAT) provides an assessment, an overview, of ten dimensions central to rural livelihoods, highlighting where additional support or interventions are likely to be most needed. The tool was designed to be universal enough to be relevant to most rural contexts around the world, yet specific enough to provide project managers and others a detailed overview of key dimensions relevant to rural poverty reduction efforts. MPAT was independently evaluated by the European Commission Joint Research Center and a working-paper version of MPAT User’s Guide was released in 2009 as well as the 2009 MPAT Book, which provides a detailed description of why and how the tool was developed. MPAT’s theoretical foundations are described in a 2010 article in Development and Practice.

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.

The impacts of socioeconomic development on rural drinking water safety in China: A provincial-level comparative analysis

Abstract/Summary:In China, achieving rural drinking water safety—meaning access to a safe, affordable, sufficient, and sustainable drinking water supply—remains a key challenge for government agencies and researchers. Using cross-sectional data at the provincial level, in this paper we examine the impacts of socioeconomic development on drinking water safety in rural China. Using a theoretical framework called Pressure-State-Response (PSR), existing data were organized into state and pressure indicators. Canonical Correlation Analysis was then used to analyze provincial-level relationships between the indicators. Significant drinking-water-safety-related differences were found across provinces. Our analyses suggest that, overall, China’s recent and rapid socioeconomic development yielded substantial benefits for China’s rural drinking water safety. However, this same development also negatively impacted rural drinking water safety via increased groundwater over-abstraction, reductions in water supply, and environmental contamination. The paper closes with a discussion of implications and options for improving drinking water policy, management, and regulation in rural China.