Other Poverty Study

351 items available

Permanent URI for this collection

http://hdl.handle.net/10986/2119

Items in this collection

Now showing 1 - 10 of 103

Cox's Bazar: Inclusive Growth Diagnostic

(World Bank, Washington, DC, 2022-01-14) World Bank

The district of Cox’s Bazar, in southeastern Bangladesh, is an instructive context to understand how long-standing and newer growth opportunities and constraints manifest at the local level, remote from Bangladesh’s major growth poles of Dhaka and Chittagong. Potentially exacerbating Cox’s Bazar’s pre-existing development challenges, the district is hosting a large influx of displaced Myanmar nationals (Rohingya). More than 884,000 people have crossed into Bangladesh from Myanmar, the vast majority since August 2017, more than doubling the population living in the Cox’s Bazar upazilas of Teknaf and Ukhia, which had higher poverty rates than the rest of the district prior to the arrival of Rohingya.
Archipelagic Economies: Spatial Economic Development in the Pacific

(World Bank, Washington, DC, 2021-12-07) Utz, Robert ; Utz, Robert

Archipelagic Economies examines the geographic dispersion of Pacific islands’ populations and its socio-economic consequences. The study presents new measures of geographic dispersion that show the uniqueness of the Pacific island countries’ human geography. It offers a closer look at the socio-economic situation of dispersed island populations, the internal movement of people that connects communities across islands, and the political economy landscape that underpins spatial economic policy decisions. A particular focus of this book is on policy options for dealing with the challenges faced by many outer islands – limited economic opportunities, costly service delivery, obstacles to connectivity by sea, air, and ICT, and urbanization in an era of climate change.
Monitoring the Socio-Economic Impacts of COVID-19 on Djiboutian and Refugee Households in Djibouti: Results from the Third Wave of Survey

(World Bank, Washington, DC, 2021-05-27) Malaeb, Bilal ; Duplantier, Anne ; Gansey, Romeo Jacky ; Konate, Sekou Tidani ; Abdoulkader, Omar ; Tanner, Jeff ; Mugera, Harriet

The third round of data collection on monitoring of socio-economic impacts of the COVID-19 (coronavirus) pandemic in Djibouti followed urban national households based on two previous waves of data collection as well as a replacement sub-sample. This round also includes a refugee sub-sample, covering urban refugees and those based in refugee villages. Economic recovery in Djibouti continues to follow a positive trend. Breadwinners from Djiboutian households continue to come back to work. Only 4 percent of those working before the pandemic were not working at the time of the survey. Even when counting those who were not working before the pandemic, 83 percent of all national households' breadwinners are now working – continuing strong trends from waves 1 and 2. Nationals with waged work grew from 22 to 76 percent in that time, and only 9 percent of those currently working report working less than usual. Djiboutian workers are also working more – but for less pay. Only one in five Djiboutian breadwinners are working less than they were before the pandemic or not at all. However, half of those who worked less than usual received no pay in wave 3 – 53 percent up from 35 percent in wave 2, and fewer received partial payment compared to the previous waves. Poor households were more likely to have received no pay for work performed. Refugees based in refugee villages face worse employment conditions than those living in urban areas or urban nationals. They were less likely to be employed prior to COVID-19, more likely to lose their job during pandemic, and do not exhibit similar signs of recovery. Around 68 percent of urban refugee breadwinners are currently working and 7 percent who worked before the pandemic are currently not working. In comparison, less than half (49 percent) of refugee breadwinners based in refugee villages are currently working, and 16 percent are no longer working relative to pre-COVID-19. A quarter of urban refugees and around 35 percent of refugees in refugee villages worked neither now nor before the pandemic, and nearly a third (29 percent) of the latter who are working report working less than usual. In addition, refugee breadwinners’ concentration in the informal sector (87 percent) highlights the precarity of their livelihood.
The Gradual Rise and Rapid Decline of the Middle Class in Latin America and the Caribbean

(World Bank, Washington, DC, 2021-05-20) World Bank

Latin America and the Caribbean (LAC) reported over 30 million Coronavirus (COVID-19) cases and around 960,000 deaths as of May 2021. Official tracking data shows that Brazil, Colombia, and Argentina have the highest number of reported cases throughout LAC, which in turn is the region with among the highest numbers across all developing regions. Moreover, Brazil is the third-worst affected country worldwide, after the United States and India, with approximately 15.4 million infections. Dramatic declines in economic activity are expected throughout the LAC region due to the global pandemic. Unfortunately, many LAC countries entered the crisis with low potential economic growth and high levels of inequality, following the region’s recent period of stagnant growth. The 2020 COVID-19 crisis will likely reverse in a short time frame many of the social gains that took decades to materialize in Latin America and the Caribbean. In the past two decades, the region has seen a reduction in the number of people living in poverty by nearly half and an increase in the size of its middle class. Income inequality also decreased, as income growth has been primarily pro-poor in recent years. Despite variations across countries, most have experienced positive welfare gains since the early 2000s. However, the growth deceleration of 2014–2019 coupled with the dramatic fall in activity caused by the COVID-19 crisis will negatively impact living standards and well-being across the region. Poverty projections for 2020 suggest that the number of the poor increased in most LAC countries. Brazil, however, implemented a generous emergency transfer program that benefited almost 67 million people and lifted millions out of poverty. As a result, poverty in the LAC region is expected to decline marginally from 22 percent in 2019 to 21.8 percent in 2020. Had no mitigation measures been implemented, the region may instead have seen 28 million new poor in 2020.
Monitoring Social and Economic Impacts of COVID-19 on Refugees in Uganda: Results from the High-Frequency Phone - Third Round

(World Bank, Washington, DC, 2021-05-18) World Bank

The High-Frequency Phone Survey for refugees in Uganda (URHFPS) tracked the socioeconomic impacts of the COVID-19 (coronavirus) crisis on refugees throughout three rounds. The World Bank (WB) in collaboration with the Uganda Bureau of Statistics (UBOS) and the United Nations High Commissioner for Refugees (UNHCR) launched and conducted the URHFPS. The URHFPS tracked the impacts of the pandemic between October 2020 and March 2021. Data collection for the first round of the URHFPS took place between October 22 – November 25, 2020, the second round took place between December 5-24, 2020, and the final and third round was conducted between February 8-March 14, 2021. This brief discusses the results from the third round. Where possible and appropriate, the results are compared across the three rounds and also benchmarked against Ugandans by using the national High-Frequency Phone Survey on COVID-19 (UHFPS). Detailed results for the first round are available in Atamanov et al. (2021a) and for the second round in Atamanov et al. (2021b)
Croatia: Where Are We Since the COVID-19 Outbreak?

(World Bank, Washington, DC, 2021-03) World Bank

This report focuses on the impact of Coronavirus (COVID-19) outbreak in Croatia as of March 2021. The data was collected through the rapid response household surveys representing Croatian households.
COVID-19 Impact Monitoring: Uganda, Round 4-5

(World Bank, Washington, DC, 2021-02) World Bank

In June 2020, the Uganda Bureau of Statistics, with the support from the World Bank, has launched the High-Frequency Phone Survey on COVID-19 (coronavirus) to track the impacts of the pandemic on a monthly basis for a period of 12 months. The survey aimed to recontact the entire sample of households that had been interviewed during the Uganda National Panel Survey 2019/20 round and that had phone numbers for at least one household member or a reference individual. This report presents the findings from the fourth and fifth rounds of the survey that were conducted respectively between October 27th and November 17th, 2020 and February 2nd and February 21st, 2021.
Croatia: Where are We Since the COVID-19 Outbreak?

(World Bank, Washington, DC, 2020-12) World Bank

This report focuses on the impact of Coronavirus (COVID-19) outbreak in Croatia as of December 2020. The data was collected through the rapid response household surveys Survey representing Croatian households.
COVID-19 Impact Monitoring: Nigeria, Round 4

(World Bank, Washington, DC, 2020-08) National Bureau of Statistics ; World Bank

The COVID-19 pandemic and its economic and social effects on households have created an urgent need for timely data to help monitor and mitigate the social and economic impacts of the crisis and protect the welfare of Nigerian society. To monitor how the COVID-19 pandemic is affecting the economy and people of Nigeria and to inform policy interventions and responses, the National Bureau of Statistics with technical support from the World Bank implemented the Nigeria COVID-19 National Longitudinal Phone Survey (COVID-19 NLPS). The fourth round of this survey was conducted between August 9 and 24, 2020.
Using Remittance Transaction Data for Timely Estimation of the Foreign Worker Population in Malaysia

(World Bank, Washington, DC, 2020-06-06) Ahmad, Zainab Ali ; Simler, Kenneth ; Yi, Soonhwa

Malaysia has been grappling with understanding how many foreign workers reside in the country and thus faces challenges in formulating evidence-based foreign worker policies. This paper investigates how to use micro-level remittance transaction data collected from money transfer service providers to estimate the number of foreign workers. Most foreign workers remit a large portion of their earnings to support family members back home. They are low-income earners, are sensitive to remittance costs, and thus opt for money transfer service providers to remit money rather than regular banks, where transfer services are more expensive. Therefore, the remittance data provide a useful source to conduct the investigation. Existing estimates range from two to five million foreign workers; our results narrow that range considerably, estimating a total of 2.99 million to 3.16 million foreign workers in Malaysia as of 2017–18. State and nationality distributions of foreign workers in our estimates are consistent with the Ministry of Home Affairs data, lending support to the validity of our estimates. Nevertheless, authors note that the Bank Negara Malaysia remittance data could potentially underestimate the number of workers in states with low access to money service providers, as well as nationalities that have access to alternative money transfer mechanisms such as commercial banking and informal transfer channels.