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Multidimensional Poverty among Nigerian Households: Sustainable Development Implications

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Abstract

Nigeria currently has the highest number of people living on less than USD1.90 a day, becoming what some analysts labeled “the poverty capital of the world.“ This article explores the multiple dimensions and predictors of household poverty in Nigeria using the 2018 Demographic and Health Survey data (n = 40,427). Results from Chi-square analysis indicate significant regional disparities in multidimensional poverty, which is endemic in the Northwest and Northeast regions that constitute 75.3% of Nigeria’s poorest households, 62.3% of household heads without formal education, and about half (49.7%) of households lacking access to electricity. Logistic regression results show that access to electricity is the most significant predictor of poverty in Nigeria, with an odds ratio (OR) of 10.46, followed by education (OR = 1.99), place of residence (OR = 0.37), land ownership (OR = 0.58), livestock ownership (0.57), number of bedrooms (1.32), and gender (0.73). Other significant predictors are drinking water sources, sanitation facilities, cooking fuel, and housing conditions. Reducing multidimensional poverty requires improving electricity supply and human development interventions in education, water, sanitation, and healthcare, targeting deprived households. These are essential for achieving sustainable development.

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Acknowledgements

The author gratefully acknowledges the DHS Program for providing the 2018 Nigeria DHS dataset used in this study.

Funding

This study did not receive any funding support.

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Correspondence to Ismaila Rimi Abubakar.

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Appendices

Appendix A: Summary of reviewed country-level studies on MP in developing countries

Author

Country

Objective

Method

Key poverty indicators

Pasha (2017)

28 developing countries

Assess MP using an alternative weighting scheme

Multiple correspondence analysis

Education, child mortality, water, sanitation, housing, electricity

Batana (2013)

14 countries in Sub-Saharan Africa

Measure MP among women

Alkire–Foster Multidimensional Poverty Index (MPI)

Education, water, sanitation, electricity, assets, floor material, body-mass index (BMI)

Santos & Villatoro (2018).

17 Latin American countries

Develop and measure MPI for Latin America, 2005–2012

MPI for Latin America

Housing, water, sanitation, education, employment, assets, energy, social protection

Duclos et al., (2006)

Ghana, Madagascar, and Uganda.

Compare MP among three African countries

Bivariate stochastic dominance techniques

Expenditure and health (child stunting)

Achia et al., (2010)

Kenya

Assess poverty determinants

Principal Components Analysis (PCA)

Drinking water, education, and cooking fuel

Habyarimana et al., (2015)

Rwanda

Assess the household socio-economic status

PCA

Water, sanitation, housing, cooking fuel, assets ownership

Stoeffler et al., (2016)

Zimbabwe

Explore changes in MP, 2001–2012

Alkire–Foster MPI

Education, health, housing, employment, water, cooking fuel, assets.

Rogan (2016)

South Africa

Measure the gender-poverty gap among households

Global MPI

Education, mortality nutrition, water, electricity, sanitation, cooking fuel, assets.

Hanandita & Tampubolon (2016)

Indonesia

Examine MP trend, 2003–2013

Alkire–Foster MPI and Spearman correlation

Income, morbidity, education

Yu (2013)

China

Estimate MP prevalence, 2000–2009

Alkire–Foster MPI

Income, education, BMI, living standard, social security

Padda & Hameed (2018)

Rural Pakistan

Estimate MP levels in rural areas

PCA

Water, sanitation, housing, rural living, energy source

Alkire and Seth (2015)

India

Analyze the changes in MP, 1999–2006

Global MPI

Education, water, sanitation, electricity, assets, mortality, nutrition, cooking fuel

Ajakaiye et al., (2016)

Nigeria

Examine MP using five deprivation indicators

First-order dominance method

Education, water, sanitation, shelter, electricity

Adepoju (2018)

Rural Nigeria

Examine MP transitions among rural households, 2010–2012

Alkire–Foster MPI and Logistic regression

Education, housing, water sanitation, health, assets

Adeoti (2014)

Rural Nigeria

Investigate household poverty levels, 2004–2010

Logit regression

Education, housing, sanitation, health, assets

Appendix B. Descriptive statistics of study variables

Variables

Description

Min

Max

Mean

SD

Wealth index

1 = poorest, 2 = poorer, 3 = middle, 4 = richer and 5 = richest

1

5

3.042

1.375

Gender of household head

1 = Male, 2 = Female

1

2

1.191

0.393

Age of household head

Continuous variable

15

98

45.749

15.766

Ethnicity of household head

1 = Hausa, 2 = Yoruba, 3 = Igbo, and 4 = other

1

4

3.062

0.961

Household size

Continuous variable

1

37

4.651

3.175

Total number of rooms

Continuous variable

1

24

2.217

1.437

Place of residency

1 = urban, 2 = rural

1

2

1.585

0.493

Geopolitical region

1 = North-central, 2 = Northeast, 3 = Northwest, 4 = Southeast,

5 = South-south, 6 = Southwest.

1

6

3.441

1.734

State

36 states of Nigeria and the FCT

1

37

19.081

10.733

Highest education level

0 = no formal education, 1 = primary, 2 = secondary, 3 = higher

0

3

1.335

1.080

Access to electricity

0 = No, 1 = Yes

0

1

0.553

0.497

Ownership of agricultural land

0 = No, 1 = Yes

0

1

0.596

0.491

Ownership of livestock

0 = No, 1 = Yes

0

1

0.444

0.498

Drinking water source

0 = surface water, 1 = unprotected spring, 2 = unprotected dug well, 3 = tanker truck/pushcart, 4 = bottled/sachet water, 5 = rainwater, 6 = protected spring, 7 = protected dug well, 8 = borehole, 9 = public tap/standpipe, 10 = piped into dwelling/yard

0

10

5.551

2.052

Type of sanitation facility

0 = no facility/bush/field, 1 = hanging or bucket toilet, 2 = pit latrine without slab/open pit, 3 = pit latrine with slab, 4 = ventilated improved pit latrine, 5 = composting toilet, 6 = flush to somewhere else/don’t know where, 7 = flush to pit latrine, 8 = flush to septic tank, 9 = toilet that flush to piped sewer system

0

9

3.715

1.970

Type of cooking fuel

0 = no food cooked in the house, 1 = biomass/other, 2 = wood, 3 = charcoal/coal/lignite, 4 = kerosene, 5 = biogas, 6 = natural gas, 7 = LPG, 8 = electricity

0

8

2.684

1.032

Main floor material

1 = earth/sand, 2 = parquet/wood, 3 = palm/bamboo/other, 4 = vinyl/asphalt strips, 5 = ceramic tiles, 6 = cement, 7 = carpet/rug

1

7

5.011

1.509

Main wall material

0 = no walls, 1 = cane/palm/bamboo, 2 = dirt/earth, 3 = stone with mud/lime, 4 = plywood/wood planks, 5 = cardboard, 6 = metal/zinc, 7 = cement, 8 = bricks, 9 = cement blocks

0

9

5.332

2.908

Main roof material

0 = no roof, 1 = thatch/palm/bamboo, 2 = rustic mat/cardboard, 3 = wood/plank, 4 = metal/zinc, 5 = ceramic tiles, 6 = cement, 7 = roofing shingles

0

7

3.502

1.308

Home water treatment

0 = no, 1 = yes

0

1

0.081

0.273

Place for handwashing

0 = not observed, 1 = observed

0

1

0.806

0.314

Possession of mosquito nets

0 = no, 1 = yes

0

1

0.617

0.486

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Abubakar, I.R. Multidimensional Poverty among Nigerian Households: Sustainable Development Implications. Soc Indic Res 164, 993–1014 (2022). https://doi.org/10.1007/s11205-022-02963-0

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