Workplace wellbeing programmes and their impact on employees and their employing organisations: a scoping review of the evidence base

This report constitutes a scoping literature review that identifies and critically examines the evidence base surrounding health and wellbeing programmes conducted in the workplace and their impact on employees and their employing organisations. The review drew on a broad range of sources covering multiple sectors. However, the report additionally highlights evidence that relates specifically to the retail and construction industries. The review offers an analysis of the current evidence base and discusses the implications of implementing different types of workplace health and wellbeing schemes. Some recommendations for supporting and promoting the health and wellbeing of employees in organisations are made on the basis of this review and, where gaps in knowledge are identified, recommendations for further research are made

How poor are people with disabilities? Evidence based on the global Multidimensional Poverty Index

People with disabilities and their families have been recognized as a high-risk population for poverty. Although the number of studies analyzing the levels of poverty of this group has increased, there is still a lack of empirical evidence that establishes whether and how people with disabilities are significantly poorer than families with no disabled members. This study analyses the levels of multidimensional poverty of people living in households with members with disabilities in 11 low- and middle-income countries in different regions of the world, using the global Multidimensional Poverty Index (MPI). The results reveal that in five of the 11 countries people living in households with disabled members face higher levels of multidimensional poverty compared with people without disabilities. In addition, we found that differences between the levels of poverty were larger in middle-income countries than in low-income countries, revealing the existence of a development disability gap

Multidimensional poverty and COVID-19 in Latin America and the Caribbean: recent trends and the route ahead

The ongoing COVID-19 pandemic has altered people’s lives in a multifaceted way. It is now clear that the progress in poverty reduction is also at stake. This briefing analyses the most recent and up-to-date trends in multidimensional poverty in Latin America and the Caribbean (LAC) prior to the pandemic, which is essential for understanding both the progress made in the past and for use as a benchmark for the future. The briefing first presents the levels of multidimensional poverty in LAC according to the global Multidimensional Poverty Index (MPI) 2020

Statistical note: disaggregating Bhutan’s MPI 2017 by disability status

Since 2010, Bhutan has used a Multidimensional Poverty Index (MPI) alongside consumption poverty to measure and fight poverty in all its forms and dimensions. Bhutan’s National MPI was updated on 2012 and 2017 using the Bhutan Living Standards Survey (BLSS). In 2017, the BLSS questionnaire included questions on disability status. This statistical note shows different ways by which the MPI can be disaggregated using the available information. Each way is implemented, and the results analysed. Thus, by presenting worked out empirical examples, we hope to contribute to the evolving methodological discussions of how best to disaggregate poverty measures including the MPI by disability status. In addition, we hope to contribute to robust and detailed understanding in Bhutan of the relationship between poverty and disability status, hence to inform policies that seek to address both. However, survey data are limited, and so, very importantly, we also advise re-running these results with the 2017 census data for a more precise picture. It is hoped this note will provide some structure for a census-based analysis. </p

Changes over time in the global multidimensional poverty index and other measures: Towards national poverty reports

This paper compares trends in multidimensional and monetary poverty systematically across developing regions. The trends in multidimensional poverty draw on the global Multidimensional Poverty Index (MPI) and related sub- and partial-indices in 80 countries and 647 subnational regions, covering roughly 5 billion people, for which there is a recent MPI estimation and comparable datasets for two time periods. This paper uses two main techniques to assess the propoorness of multidimensional poverty reduction and triangulate monetary and nonmonetary poverty measures. First, utilizing the properties of subgroup decomposability and dimensional breakdown, it examines changes in the MPIT and its consistent sub-indices over time across subnational regions and urban–rural regions. The decomposition analysis identifies relevant national patterns, including those in which the pace of poverty reduction is higher for the poorest subgroups. Next, it assesses overall annualized changes in the incidence of multidimensional poverty, compares this with changes in $1.90 poverty trends, and evaluates the pace and direction of various international poverty lines for monetary poverty, with national monetary and multidimensional measures, and for the family of global MPIT measures. This extensive empirical analysis illustrates how to assess the extent and patterns of reduction of multidimensional poverty, as well as whether it is inclusive or whether some people or groups are left behind, and triangulates various poverty measures to evaluate the reliability and credibility of their purposes. Naturally, some further research questions emerge

Changes Over Time in the Global Multidimensional Poverty Index: A Ten-Country Study

This brief methodological note presents a ten-country study of changes over time in multidimensional poverty, using the 2019 global MPI specifications. 1 Accompanying tables release the full results in these categories: national, rural, urban, subnational regions, age groups and complete estimations, as well as complementary data, indicator breakdowns, and standard errors. This note first explains the choice of the ten countries for this preliminary study of changes over time. It then describes the principles used to guide the data harmonisation process and the estimation procedures. Then, it provides the methodological details of harmonisation for the estimation of each dataset used. The results of these estimations are presented in Table 6, available onlin