Assessment of Multidimensional Poverty in Rural and Urban Nigeria: Evidence from Demographic and Health Survey (DHS)

Oyekale, Tolulope Olayemi; Oyekale, Abayomi Samuel

doi:10.1080/09709274.2013.11906588

Cited by 12 publications

(10 citation statements)

References 2 publications

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“…Weights can either be determined by expert/participatory assessment or by statistical models. Various statistical weighting methods based on characteristics of the data are usually used, such as multiple correspondence analysis (used e.g., by Bernardo et al [37] and Boccanfuso et al [38]), principal component analysis (used e.g., by Olawale and Garwe [39]) or fuzzy analysis (used e.g., by Oyekale and Oyekale [40]). In our research, we used the multiple correspondence analysis (MCA) for each dimension as it is one of the most popular factorial analysis techniques and it is also one which is easy to adapt to the structure of the data we collected.…”

Section: Discussionmentioning

confidence: 99%

One step ahead? The use of foresight by Czech and Slovak non-governmental organizations

et al. 2020

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Non-governmental organizations (NGOs) are generally recognized as important actors in societies, fulfilling diverse sets of roles. Given the nature of their work and the complexity of the fast-changing contexts in which they operate, foresight techniques can potentially be useful in helping them prepare for future disruptions and maximize the positive influence of their work over future developments. The possibilities for and benefits of the application of foresight approaches and techniques are increasingly being discussed in various private and public organizations, especially with the aim to innovate and grow. However, little attention has been given to the question of how NGOs use foresight and whether their work benefits from it. The paper presents results of a survey conducted among Czech and Slovak NGOs active in development cooperation, humanitarian assistance, and environmental protection fields, filling the existing research gap by analyzing their application of foresight processes and the benefits foresight brings to them. The paper concludes that future-oriented processes in Czech and Slovak NGOs are of a rather informal and non-institutionalized nature, given the insufficient knowledge of foresight concepts and limited human capacities of NGOs. Nevertheless, they positively influence their creativity and growth.

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Section: Discussionmentioning

confidence: 99%

One step ahead? The use of foresight by Czech and Slovak non-governmental organizations

et al. 2020

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“…used by Cardozo and Grosse, 2009) or the fuzzy analysis (e.g. used by Oyekale and Oyekale, 2013). However, their disadvantage lies in the fact that they do not assess the importance of variables from a theoretical perspective.…”

Section: Measuring the Middle Class: Methods Data And Proceduresmentioning

confidence: 99%

“…is often used to measure welfare of households (or individuals). In the developing countries’ context, the ownership of assets has also been applied to concepts of poverty and pro-poor growth (see, for example, Ezzrari and Verme, 2012; Oyekale and Oyekale, 2013 and Cardozo and Grosse, 2009).…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring the Middle Class in Africa – Income Versus Assets Approach

2020

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Traditionally, economists measure middle class from the income perspective. Considering quality of data for many African countries, relying solely on income may, unfortunately, lead to an incorrect picture. This article compares and analyses the African middle class measured by income and by ownership of assets. Results indicate that middle class sizes differ significantly in some countries, while in others they are more or less the same. Regression analyses performed to investigate potential correlates of the African income and assets middle class sizes indicate that the African assets middle class size is positively associated with income per capita and negatively with assets inequality. To a lesser extent, it is positively affected by education and negatively by ethnic fractionalisation. The African income middle class size depends positively on income per capita and education, while negatively on income inequality.

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“…Among the five dimensions considered, housing and sanitation had the highest absolute and relative contributions of 0.2 and 39.5% and thus contribute the most to deprivation. This is because rural areas in Nigeria lack improved sanitation and housing characteristics [57]. This is followed by autonomy with 0.09 and 17.0%.…”

Section: Decomposition Across Dimensionsmentioning

confidence: 99%

Asset Ownership and Welfare Deprivation of Women in Rural Nigeria: A Bi-Causal Relationship

Oladokun

Adenegan

2019

JEMT

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Women are an important segment of the human population and appropriate investment in their welfare would be of great benefit to the individual, household, and community levels. There has been an increasing incidence of welfare deprivation among women in rural Nigeria. However, information on the link between asset ownership and welfare deprivation of women in rural Nigeria is scanty. Thus, the relationship between the level of asset ownership and welfare deprivation of women in rural Nigeria was investigated. Data on 18,869 women living in rural Nigeria were sourced from Nigeria Demographic and Health Survey 2013. Data analysis was done using descriptive statistics, composite score analysis, fuzzy analysis and Instrumental Variable(IV) Tobit Regression at α0.05. A higher proportion of the rural women-owned physical assets such as mobile phone (68.7%) and radio (63.5%), while only 5.9% owned natural asset (land). Women in low-LAO, intermediate-LAO and high-LAO were 20.3%, 63.8% and 15.9%, respectively. Level of asset ownership (β=-0.31), age (β=-0.01), being a widow (β=0.04), being a female household head (β=-0.08), and Geo-Political Zone (North-East, β=0.04; South-East, β=-0.05; South-West, β=-0.07) explained welfare deprivation of women. A unit increase in the level of asset ownership led to 30.8% decrease in welfare deprivation. An increase in the level of asset ownership decreased welfare deprivation. Asset ownership had a positive influence on women’s welfare deprivation.

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Assessment of Multidimensional Poverty in Rural and Urban Nigeria: Evidence from Demographic and Health Survey (DHS)

Cited by 12 publications

References 2 publications

One step ahead? The use of foresight by Czech and Slovak non-governmental organizations

One step ahead? The use of foresight by Czech and Slovak non-governmental organizations

Measuring the Middle Class in Africa – Income Versus Assets Approach

Asset Ownership and Welfare Deprivation of Women in Rural Nigeria: A Bi-Causal Relationship

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