Urban Labor Markets in Sub-Saharan Africa

Busquet, Nicolas Antoine Philippe; Barlet, Muriel; Bocquier, Philippe; Vreyer, Philippe H. De

doi:10.1596/978-0-8213-9781-7

Cited by 33 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is consistent with the labour market context in the country. In Burkina Faso, migration is potentially less visibly labour-market-driven due to the dominance of the informal economy and hence there is a weaker expected connection between human capital (as indicated by education) and migration (International Monetary Fund 2012; De Vreyer and Roubaud 2013). Conversely, more-highly educated individuals do not migrate out of the city due to limited opportunities elsewhere and a lack of incentive to move.…”

Section: Discussionmentioning

confidence: 99%

“…Educational attainment influences labour market participation and earnings, but this relationship is dependent on the labour market context. In sub-Saharan Africa, labour markets may be predominantly informal or mainly formal, and the demand for skills will depend on these and other labour market characteristics (De Vreyer and Roubaud 2013). Participation in the urban informal sector requires a lower level of skills as compared with the urban formal sector, and this sector is particularly favoured by rural migrants (Todaro 1997).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Labour market theory holds that individuals with higher levels of human capital will migrate to enter the formal labour market (Harris and Todaro 1970), where the formal labour market is expected to function in a similar way in different contexts. However, in the sub-Saharan African context, where labour markets are segmented between the informal and formal sectors in varying proportions (De Vreyer and Roubaud 2013) and where there are large disparities in the levels and distribution of educational attainment, this generalisation may not hold nearly as tightly. Moreover, the tendency for studies to employ data highly aggregated by time and space (often by necessity) can serve to mask considerable differences in the ways in which human capital drives internal migration from setting to setting.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Human capital on the move: Education as a determinant of internal migration in selected INDEPTH surveillance populations in Africa

Ginsburg

Bocquier

Béguy

et al. 2016

DemRes

View full text Add to dashboard Cite

BACKGROUND Education, as a key indicator of human capital, is considered one of the major determinants of internal migration, with previous studies suggesting that human capital accumulates in urban areas at the expense of rural areas. However, there is fragmentary evidence concerning the educational correlates of internal migration in sub-Saharan Africa. OBJECTIVES The study questions whether more precise measures of migration in Health and Demographic Surveillance System (HDSS) populations support the hypothesis that migrants are self-selected on human capital and more educated people are more likely to leave rural areas or enter urban areas within a geographical region. METHODS Using unique longitudinal data representing approximately 900,000 people living in eight sub-Saharan African HDSS sites that are members of the INDEPTH Network, the paper uses Event History Analysis techniques to examine the relationship between formal educational attainment and in-and out-migration, over the period 2009 to 2011. RESULTS Between 7% and 27% of these local populations are moving in or out of the HDSS area over this period. Education is positively associated with both in-and out-migration in the Kenyan HDSS areas; however, the education effect has no clear pattern in the HDSS sites in Burkina Faso, Mozambique, and South Africa. CONCLUSIONS Empirical results presented in this paper confirm a strong age profile of migration consistent with human capital expectation, yet the results point to variability in the association of education and the propensity to migrate. In particular, the hypothesis of a shift of human capital from rural to urban areas is not universally valid.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Human capital on the move: Education as a determinant of internal migration in selected INDEPTH surveillance populations in Africa

Ginsburg

Bocquier

Béguy

et al. 2016

DemRes

View full text Add to dashboard Cite

show abstract

“…In Asian areas like Chinese Taipei, Mainland China, India, Vietnam and Indonesia motorcycle manufacturing industries are big with a significant economic contribution; most of motorcycles sold in developing countries are made in these countries [1] [2] [3]. Also, China, India, Vietnam and Indonesia are the four largest markets for motorcycle in the world, and the market is growing at the rate of more than 6.5 percent annually [5] [6].…”

Section: Introductionmentioning

confidence: 99%

Poverty Cycle with Motorcycle Taxis (Boda-Boda) Business in Developing Countries: Evidence from Mbeya—Tanzania

Mbegu¹,

Mjema²

2019

OALib

View full text Add to dashboard Cite

Motorcycle taxis (Boda-Boda) is a rapidly growing business in most developing countries, particularly sub-Saharan African countries. In recent decades, the statistics of youth employment in Motorcycle taxis (Boda-Boda) is almost doubling every year. Contrary to the reported growth and success of this business, the Motorcycle taxis (Boda-Boda) business has impacted negatively the communities. Reports in most cities and towns in the developing countries indicate that there is a serious increase in accidents involving motorcycle taxis. Urban Insecurity, pollution and traffic is another problem in developing countries' communities associated with Motorcycle taxis (Boda-Boda) business. The findings have identified the negative impacts of Motorcycle taxis (Boda-Boda) business in developing countries' communities relating it to poverty cycle existing in the communities. 200 Boda-Boda riders and 200 Boda-Boda users were purposively chosen to gather primary data, secondary data were collected through internet sources, government reports and other Boda-Boda related materials and documents. SSPS and Excel were used to analyse data. The study has found out that, a Motorcycle taxi (Boda-Boda) user in ten years has more than 90% chance to sustain injury or lose life. Though users and riders have positive attitude on Motorcycle taxis (Boda-Boda), still more than 80% of them are aware of the risks associated with them. Primary data with the support of secondary data provide insights that it is difficult to say that the business is contributing to economic growth, instead of poverty cycle from unemployment to pure disabled dependent or from jobless father or mother to orphans' dependents. The government should intervene in Motorcycle taxis (Boda-Boda) business which erodes country's manpower, resources and the economy at large.

show abstract

“…An advantage of the realized matches approach is that the educational standard of the status-specific occupational benchmark is updated regularly to capture changing educational requirements over time. This method has been extensively used in the literature (Bauer, 2002;Chiswick & Miller, 2009De Oliveira, Santos, & Kiker, 2000;Hartog, 2000;Herrera & Merceron, 2013;Mateos-Romero & Salinas-Jiménez, 2017;Ng, 2001;Quinn & Rubb, 2006;Rubb, 2014;Robst, 1994;Salinas-Jiménez, Rahona-López, & Murillo-Huertas, 2013;Verhaest & Omey, 2006;Yeo & Maani, 2017). Given the availability of information on education and occupation in the GLSS data, the realized matches method is appropriate for this analysis.…”

Section: Educational Mismatch Measuresmentioning

confidence: 99%