“Filthy rich” and “dirt poor:” social and cultural dimensions of solid waste management (SWM) in Lagos

Abstract

This paper analyses how household solid waste was perceived and handled in traditional Yoruba and contemporary Lagos society in South West Nigeria. It highlights the roles of individuals, households, changing lifestyles and diet, business cycles, residential segregation, and state and non-state actors and institutions in waste management in Lagos. The filthy rich/dirt poor divide in Lagos is epitomised by spatial segregation and social stratification, reflected by contrasting highbrow neighbourhoods and massive dumpsites in the metropolis. Central to this discussion are changing economic dynamics. The boom years were characterised by conspicuous consumption, waste and replacement while economic adversity precipitated destitution, re-use and recycling of waste, and recourse to imported second-hand clothing and household utensils. The paper recommends a multi-pronged sustainable waste management strategy for Lagos.     

RR-classifier: a nonparametric classification procedure in multidimensional space based on relative ranks

AStA Advances in Statistical Analysis - Notions of data depth have motivated nonparametric multivariate analysis, especially in supervised learning. Maximum depth classifiers, classifiers based on...     

On some classifiers based on multivariate ranks

Non parametric approaches to classification have gained significant attention in the last two decades. In this paper, we propose a classification methodology based on the multivariate rank functions and show that it is a Bayes rule for spherically symmetric distributions with a location shift. We show that a rank-based classifier is equivalent to optimal Bayes rule under suitable conditions. We also present an affine invariant version of the classifier. To accommodate different covariance structures, we construct a classifier based on the central rank region. Asymptotic properties of these classification methods are studied. We illustrate the performance of our proposed methods in comparison to some other depth-based classifiers using simulated and real data sets.     

Development of a canonical correlation model involving non linearity and asymmetric variables

The classical canonical correlation analysis (CCA) can characterize, but is limited to, symmetric and linear associations. This study formulated a new model which generalized CCA to non linear associations and asymmetric distributions. Special cases of the proposed model were discussed. The behavior of canonical solutions under varying mixtures of skewness and non linearity (NL) was also examined in a simulation study. In addition, these solutions were compared with some commonly used methods of Hotelling, Spearman, and Kendall. Our empirical findings showed, among others, that for a fixed level of NL, the canonical correlation (ρ) increases as skewness increases. By and large, whether by ρ, likelihood, Akaike information criterion and Bayesian information criterion, the proposed method performed better than the other methods in all degrees of skewness and NL considered. This was further confirmed with real-life data application as Hotelling, Spearman, and Kendall overestimated ρ by 2.08%, 37.81%, and 22.15%, respectively, compared to the proposed technique.     

Infant Trafficking and Baby Factories: A New Tale of Child Abuse in Nigeria

Baby factories are new systematic abuse structures that are promoting infant trafficking, neo‐slavery and the exploitation of young women with unwanted pregnancies in Nigeria. Since this practice was first described in 2006, it has been growing rather than abating. This paper reviews the scientific literature, along with media reports, and critiques this phenomenon from a children's rights' perspective. Children born into baby factories are denied various civil rights. They also suffer abuse in the baby factories and as a consequence of being born in such places. This abuse can be classified into immediate and long term. Immediate abuse includes inadequate care and its repercussions, denial of birth registration, illegal adoption and murder. Long‐term or delayed abuse that they may be exposed to includes health‐related consequences, neglect, death, child labour, prostitution and other sexual abuse, organ trafficking and recruitment as child soldiers. Various factors are thought to drive the baby factory phenomenon which include poverty, high infertility rates and the profitability of local and inter‐country adoptions. Programmes directed at addressing the root cause of the problem are needed in order to eliminate infant trafficking. Also, clear laws that delineate inter‐country adoption and infant trafficking need to be enacted. Most importantly, baby factories need to be recognised as child trafficking routes. Copyright © 2015 John Wiley & Sons, Ltd.

‘New systematic abuse structures that are promoting infant trafficking, neo‐slavery and the exploitation of young women’

Key Practitioner Messages:

• A new type of child abuse and human trafficking that targets infants has emerged in Nigeria in what are described as ‘baby factories’.
• Baby factories are criminal entities that exploit young girls with unwanted pregnancies and the practice is growing.
• Children born in baby factories suffer a range of immediate abuses and are exposed to long-term abuses.
• Baby factories violate several articles in the Convention on the Rights of a Child.

‘Criminal entities that exploit young girls with unwanted pregnancies’

Citing Literature

Number of times cited: 5

• Olga B. A. van den Akker , Cross-Border Surrogacy , Surrogate Motherhood Families , 10.1007/978-3-319-60453-4_8 , (199-230) , (2017) . Crossref
• Olusesan Ayodeji Makinde, Clifford Obby Odimegwu and Stella O. Babalola , Reasons for Infertile Couples Not to Patronize Baby Factories , Health & Social Work , 42 , 1 , (57) , (2017) . Crossref
• Peter Sidebotham , Kneeling on Mung Beans , Child Abuse Review , 25 , 6 , (405-409) , (2017) . Wiley Online Library
• Olusesan Ayodeji Makinde, Olufunmbi Olukemi Makinde, Olalekan Olaleye, Brandon Brown and Clifford O. Odimegwu , Baby factories taint surrogacy in Nigeria , Reproductive BioMedicine Online , 32 , 1 , (6) , (2016) . Crossref
• Olusesan Makinde, Bolanle Olapeju, Osondu Ogbuoji and Stella Babalola , Trends in the completeness of birth registration in Nigeria: 2002-2010 , Demographic Research , 35 , (315) , (2016) . Crossref

Volume 25 , Issue 6 November/December 2016

Pages 433-443