Social policy and social inequality in Nigeria: Examples from four states, using indicators of level of living approach

Oyebanji, J. Oluwole

doi:10.1007/bf00213029

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…QoL studies in Nigeria straddle both aspects. Generally speaking, some early environmental QoL studies in Nigeria were undertaken to examine the spatial variations in inequalities in social indicators in cities and rural areas of Nigeria (e.g Oyebanji 1982Oyebanji , 1986Salau 1986). Others have focused on using social indicators as parameters to measure rural development (Okafor 1985) and on gender-based perception of QoL among women in rural areas of Nigeria (Oluwoye 1990).…”

Section: Overview Of Qol Research In Nigeriamentioning

confidence: 99%

Assessment of Socio-Economic Characteristics and Quality of Life Expectations of Rural Communities in Enugu State, Nigeria

Nzeadibe

Ajaero

2010

Applied Research Quality Life

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This study examined the social, infrastructural and economic conditions prevalent in some rural communities of Enugu State, Nigeria, where recent oil and gas prospecting activities have generated concerns for the environment and quality of rural life. Mixed but complimentary methods of data collection employed include consultations with key stakeholders, focus group discussions, questionnaire survey, field observations, key-informant interviews and secondary sources. Existing socioeconomic and infrastructural conditions, citizens' perceptions of oil and gas activities, and quality of life (QoL) expectations of study communities were documented. Six major units of analysis (or levels of aggregations) with the aid of qualitative and quantitative methodologies were used to describe both empirical and /or secondary data. The study revealed large population sizes and even higher population densities, with the economic base in the study area being agriculture. Findings of the study indicate that despite some negative socio-environmental perceptions, citizens' receptiveness and attitude towards the projects were patently positive. QoL expectations of the communities were embedded in environmentally responsible, culturally sensitive and socially responsive operation of oil companies. Agents and institutions of social control and well-being were also appraised to highlight their QoL contributions in the area.

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Section: Overview Of Qol Research In Nigeriamentioning

confidence: 99%

Assessment of Socio-Economic Characteristics and Quality of Life Expectations of Rural Communities in Enugu State, Nigeria

Nzeadibe

Ajaero

2010

Applied Research Quality Life

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“…15) One popular topic of study concerned regional and/or social inequality. Binns (1987); Oyebanji (1986);Ebong (1986). 16) See Sokari-George (1987); Shimada (1983); Udo (1982).…”

Section: IIImentioning

confidence: 99%

Economic Change and Labor Migration in Rural Nigeria

Shimada

1991

Geogr. Rev. Jpn, Ser B

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A growing trend in migration studies in Africa is the stronger interest in the contexual analysis of migration in relation to the larger political economies. In this study, migration is viewed as a sign of economic and political change, or a manifestation of people's response to such change. Political ecology as point of view is useful for the purpose of this study with a focus on the Nigerian economy which has experienced unprecedented ups-and-downs since 1970 and therefore provides us a suitable field for study. It has become clear that household or kin group network played an important role in people's migration.It was mobilized in the period of the economic boom of the 1970s; shifting people from farming to non-farming jobs; encouraging migration from rural areas to urban areas; and promoting higher education. And after an economic depression, it helped young people find jobs, even in the informal sectors of towns; and to hold unemployed young people in the village. These are some ways in which migration is forcing people to adapt to the rapid economic change.

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A new method for multispace analysis of multidimensional social exclusion

et al. 2023

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Social phenomena are multidimensional and dependent on geographic space. Numerous methods are capable of representing multidimensional social phenomena through a composite indicator. Among these methods, principal component analysis (PCA) is the most used when considering the geographical perspective. However, the composite indicators built by the method are sensitive to outliers and dependent on the input data, implying informational loss and specific eigenvectors that make multi-space–time comparisons impossible. This research proposes a new method to overcome these problems: the Robust Multispace PCA. The method incorporates the following innovations. The sub-indicators are weighted according to their conceptual importance in the multidimensional phenomenon. The non-compensatory aggregation of these sub-indicators guarantees the function of the weights as of relative importance. Aggregating indicators in dimensions balances the weight structure of dimensions in the composite indicator. A new scale transformation function that eliminates outliers and allows multispatial comparison reduces by 1.52 times the informational loss of the composite indicator of social exclusion in eight cities' urban areas. The Robust Multispace-PCA has a high potential for appropriation by researchers and policymakers, as it is easy to follow, offers more informative and accurate representations of multidimensional social phenomena, and favors the development of policies at multiple geographic scales.

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Social policy and social inequality in Nigeria: Examples from four states, using indicators of level of living approach

Cited by 6 publications

References 3 publications

Assessment of Socio-Economic Characteristics and Quality of Life Expectations of Rural Communities in Enugu State, Nigeria

Assessment of Socio-Economic Characteristics and Quality of Life Expectations of Rural Communities in Enugu State, Nigeria

Economic Change and Labor Migration in Rural Nigeria

A new method for multispace analysis of multidimensional social exclusion

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