Climbing up the ladder and watching out for the fall: Poverty dynamics in rural Bangladesh

Ahmed, Akhter U.; Tauseef, Salauddin

doi:10.2499/9789845063715_13

Cited by 4 publications

(4 citation statements)

References 2 publications

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“…Most rural poverty reduction, 59 per cent, occurred among the 47 per cent of households whose primary sector of employment is industry or services (Figure 11). Data that follows the same households over time during this period documents the same trend: households with higher shares of non-farm income saw faster progress (Ahmed and Tauseef 2018). Despite strong growth in non-agricultural sectors, the share of the population in households primarily engaged in non-agricultural activities increased by only 3 percentage points.…”

Section: Sectorsmentioning

confidence: 65%

Poverty in Bangladesh during 2010-2016: Trends, Profile and Drivers

Hill,

Eugenia Genoni

2019

BDS

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This paper uses the latest round of the Household Income and Expenditure Survey to provide an initial assessment of Bangladesh’s poverty trends from 2010 to 2016/17. The paper documents that Bangladesh has made remarkable gains in reducing poverty. However, with almost 1 in 4 people still living in poverty today, the country needs to make further progress. Economic growth has led to gains in welfare, but even though economic growth has accelerated in recent years, it has delivered less poverty reduction. Consumption has grown at a slower rate and has been less equally shared since 2010 than in the prior decade. Welfare differences between the historically poorer West and the rest of the country have re-emerged, as poverty has increased in the North-western division of Rangpur. The decline in urban poverty has also slowed. Slower agricultural growth, combined with slower job creation in manufacturing, could explain why growth has become less poverty reducing over time in Bangladesh.

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Section: Sectorsmentioning

confidence: 65%

Poverty in Bangladesh during 2010-2016: Trends, Profile and Drivers

Hill,

Eugenia Genoni

2019

BDS

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“…The estimated consumption under five imputation techniques can further be scrutinised by segregating into the poverty indicators. The poverty headcount ratio (FGT0), poverty gap (FGT1) and poverty squared gap (FGT2) are 27.2%, 5.74% and 1.71% for the total consumption data set (Ahmed & Tauseef, 2018). This means that 27.2% of the people in Bangladesh live under the poverty line.…”

Section: Analyses and Resultsmentioning

confidence: 99%

Rapid Consumption Survey Methodology: An Empirical Study in Bangladesh

Mazumder

Rayhan

2022

South Asian Survey

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Every unidimensional poverty measure is mostly based on consumption expenditure. In the household consumption expenditure survey, the questionnaire needs to record detailed information about food and non-food items. The lengthy administering time hampers the survey very often. This study applies a rapid consumption methodology on two-round panel data from the Bangladesh integrated household survey conducted by the International Food Policy Research Institute. The surveyed items for each household are partitioned into the core and optional modules. Any randomly taken optional module is assigned to a household, and missing modules are then estimated by the imputation method. In estimating the poverty indicators, the multiple imputation with chained equation model shows better estimates than the ordinary least squares (OLS) and median imputation techniques. The estimated poverty headcount ratio (FGT0) is 26.72%, whereas the full consumption data show FGT0 as 27.2%. These results suggest that the rapid consumption survey methodology in a risk-prone area can be a potential approach to estimate the consumption and poverty at a lower cost and lower administrative time.

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“…Looking at poverty trajectories against the backdrop of households' starting position in February 2020 (Tables 3.3 and 3 Again, results in this study point to far greater levels of precarity compared to what has been in observed in studies prior to the pandemic and in rural areas. Ahmed and Tauseef (2018) Qualitative data confirms that the pandemic's effects cut across socioeconomic strata in urban areas, especially in low-income and informal neighbourhoods.…”

Section: As Indicated Inmentioning

confidence: 86%

Social Protection Experiences of and Attitudes Towards New Urban Poor After Covid-19 in Bangladesh

Roelen,

Ahmed,

Chowdhury

et al. 2024

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The Covid-19 pandemic led to a large increase in poverty in Bangladesh, especially in urban areas. Rising food prices and high inflation rates further compounded already high levels of socioeconomic uncertainty. Social protection is vital to help mitigate the effects of crisis and make households more resilient to uncertainty. This paper provides insights into urban residents’ experiences of poverty and the support they received since the Covid-19 pandemic, and derives implications for social protection programming in urban Bangladesh. Using secondary longitudinal data collected since the start of the pandemic with new quantitative surveys and qualitative data collected in Kallyanpur, Dhaka and Shantinagar, Chittagong in March 2023, the study points to high levels of precarity; poverty’s toll on mental health; widespread stigmatisation and discrimination of residents of low-income neighbourhoods, and inadequate social protection support. It argues for the need to expand social protection in urban areas; counter area-based discrimination; ensure dignified delivery of assistance, and provide an integrated policy response.

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Climbing up the ladder and watching out for the fall: Poverty dynamics in rural Bangladesh

Cited by 4 publications

References 2 publications

Poverty in Bangladesh during 2010-2016: Trends, Profile and Drivers

Poverty in Bangladesh during 2010-2016: Trends, Profile and Drivers

Rapid Consumption Survey Methodology: An Empirical Study in Bangladesh

Social Protection Experiences of and Attitudes Towards New Urban Poor After Covid-19 in Bangladesh

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