Marshall Makate and Clifton Makate
The role of increased schooling on teenage childbirth has been expansively studied especially in developed countries. However, caveats remain in the case of low-income countries…
Abstract
Purpose
The role of increased schooling on teenage childbirth has been expansively studied especially in developed countries. However, caveats remain in the case of low-income countries especially Sub-Saharan Africa. The purpose of this paper is to ascertain the impact of increased schooling on the probability of first childbirth at 15 years or younger, 16-17, 18-19, and 20 years or older, in the important context of Uganda – a country with one of the highest adolescent fertility rates in Africa.
Design/methodology/approach
The empirical analysis uses recent data from the nationally representative Demographic and Health Survey for Uganda conducted in 2011. The authors then adopt a fuzzy regression discontinuity design, estimated using instrumental variables techniques that exploit the exogenous change in schooling impelled by the universal primary education policy enacted in 1997 in Uganda. The empirical approach compares the fertility outcomes for women born in 1984-1992 (i.e. exposed to the policy) to those born in 1973-1981 (i.e. non-exposed).
Findings
The authors find that a one-year increase in schooling lowers the probability of first childbirth at age the age of 15 years or younger, 16-17, 18-19, and 20 years or older by nearly 8.2, 9.2, 9.4, and 9.5 percentage points, respectively. Also, pathways through which education impacts teenage motherhood included information access through the media, increased literacy, prenatal care utilization, marital status, and unhealthy sexual behavior.
Originality/value
The paper uses nationally representative survey data to scrutinize the causal influence of schooling on the probability of first childbirth using the 1997 universal primary education in Uganda as a natural experiment to identify the impact of schooling. The study recommends that expanding primary schooling opportunities for girls may be an effective strategy toward accelerated reductions in teenage fertility in Uganda.
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Keywords
Clifton Makate, Marshall Makate and Nelson Mango
Improving the adoption rates of proven innovative practices in bean farming and their impacts on livelihoods requires persistent promotion of practices, complemented by rigorous…
Abstract
Purpose
Improving the adoption rates of proven innovative practices in bean farming and their impacts on livelihoods requires persistent promotion of practices, complemented by rigorous socioeconomic analysis that recognises the diversity of smallholder farmers. The purpose of this paper is to typify farm households in Angonia district of Mozambique, based on their socioeconomic characteristics prompting the adoption of proven innovative practices in bean production, management, and marketing.
Design/methodology/approach
The authors use a multivariate statistical analysis approach that combines principal component analysis, and cluster analysis to clearly identify five distinctive farm household types with respect to the adoption of proven innovative practices in smallholder bean farming using socio-economic factors.
Findings
The study findings show that various socioeconomic factors define clusters and can be associated with the adoption and use of innovative practices in smallholder bean farming. The five farm types identified are: female landowners with small farm sizes (29.52 per cent); educated farmers with access to credit (6.63 per cent); relatively rich male land owners with large farm sizes and low education (8.73 per cent); youthful, inexperienced and poor male farmers (6.33 per cent); and experienced female farmers with high labour endowments (8.43 per cent). The respective farm types seemed to have different patterns in the adoption of proven innovative practices in bean farming.
Originality/value
The authors recommend that policy makers promote strategies meant to raise adoption of innovative practices in bean production, management and marketing in Mozambique that takes into account household diversity. The farm types identified by this study can be a good starting point for guiding such future efforts.
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The purpose of this study is to discuss how enhancing the role of local institutions (LI) and incorporating indigenous knowledge (IK) in climate change adaptation planning can…
Abstract
Purpose
The purpose of this study is to discuss how enhancing the role of local institutions (LI) and incorporating indigenous knowledge (IK) in climate change adaptation planning can improve adoption and scaling success of climate-smart agriculture innovations.
Design/methodology/approach
A review of relevant literature from sub-Saharan Africa was used to answer the study research questions.
Findings
Embracing IK and LI in climate change adaptation projects can enhance adoption and scaling success of climate-smart agriculture innovations in smallholder farming. Such efforts will improve: information gathering and dissemination, mobilization of resources, establishment of useful networks with relevant stakeholders, capacity building farmers on various fronts and provision of leadership in climate adaptation programs.
Practical implications
Fully embracing IK and LI can improve the scaling of climate-smart innovations only if development partners recognize IK systems that are to be transformed and build on them instead of trying to replace them. Also, participatory approaches in scaling innovations will enhance input from rural people in climate change adaptation programs.
Originality/value
Development interventions aimed at taking proven effective climate-smart innovations to scale must, therefore, engage local communities and their indigenous institutions as active stakeholders in designing, planning and implementation of their climate adaptation programs.