Efficiency Assessment of Public Education & Health Sector in Selected Middle-Income Countries with Special Reference to Millennium Development Goals (MDGs)

2019 ◽  
Vol 3 (1) ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 41-60
Author(s):  
Sami Ullah Khan ◽  
Zahoor Khan ◽  
Gulnaz Hameed

This study investigates relative efficiency of public education and health sector in selected middle income countries with special reference to Millennium Development Goals (MDGs). The study uses data for two reference years; 2000 (implementation year of MDGs for developing countries) and 2015 (the final year of MDGs). Data Envelopment Analysis (DEA) and Malmquist Productivity Index (MPI) are used to calculate relative efficiency, operating scale of the countries (DMUs) and productivity change in relative efficiency over time respectively. The paper conceptualizes relative efficiency of the countries in discretionary, multicriteria input-output variables context to investigate efficiency differences among the countries and deduce important takeaways. Educational expenditure, teachers at primary level, health expenditure, birth attended by skilled staff are used as input variables while enrollment at primary level, completion of primary level education, infant survival per annum and child survival per annum are used as output variables. The DEA results show that all countries could not operate at efficient level to target MDGs. The level of efficiency was not same under different DEA specifications in both the periods. Some countries were inefficient because of their size; either having too large size or too small size of operation. The sources of change in efficiency over the time were either because of real change in efficiency or change in technology frontier or both. The study identified a set of institutional and individuals factors which contribute to the efficiency and inefficiency of DMUs under investigation.


2019 ◽  
Vol 11 (17) ◽  
pp. 4555 ◽  
Author(s):  
Tanu Priya Uteng ◽  
Jeff Turner

The Millennium Development Goals (MDGs) specifies gender equality and sustainable development as their two central priorities. An area of critical importance for sustainable and gender-fair development is mobility and transport, which has so far been neglected and downplayed in research and policy making both at the national and global levels. Rooted in the history of the topic and the emerging ideas on smart, green and integrated transport, this paper presents a literature review of on gender and transport in the low- and middle-income countries. The paper presents a host of cross-cutting topics with a concentrated focus on spatial and transport planning. The paper further identifies existing research gaps and comments on the new conceptualizations on smart cities and smart mobilities in the Global South. Due attention is paid to intersections and synergies that can be created between different development sectors, emerging transport modes, data and modeling exercises, gender equality and sustainability.


2018 ◽  
Vol 3 (Suppl 4) ◽  
pp. e000880 ◽  
Author(s):  
Sara Bennett ◽  
Douglas Glandon ◽  
Kumanan Rasanathan

Multisectoral action is key to addressing many pressing global health challenges and critical for achieving the Sustainable Development Goals, but to-date, understanding about how best to promote and support multisectoral action for health is relatively limited. The challenges to multisectoral action may be more acute in low-income and middle-income countries (LMICs) where institutions are frequently weak, and fragmentation, even within the health sector, can undermine coordination. We apply the lens of governance to understand challenges to multisectoral action. This paper (1) provides a high level overview of possible disciplines, frameworks and theories that could be applied to enrich analyses in this field; (2) summarises the literature that has sought to describe governance of multisectoral action for health in LMICs using a simple political economy framework that identifies interests, institutions and ideas and (3) introduces the papers in the supplement. Our review highlights the diverse, but often political nature of factors influencing the success of multisectoral action. Key factors include the importance of high level political commitment; the incentives for competition versus collaboration between bureaucratic agencies and the extent to which there is common understanding across actors about the problem. The supplement papers seek to promote debate and understanding about research and practice approaches to the governance of multisectoral action and illustrate salient issues through case studies. The papers here are unable to cover all aspects of this topic, but in the final two papers, we seek to develop an agenda for future action. This paper introduces a supplement on the governance of multisectoral action for health. While many case studies exist in this domain, we identify a need for greater theory-based conceptualisation of multisectoral action and more sophisticated empirical investigation of such collaborations.


Author(s):  
Senahara Korsa Wake ◽  
Temesgen Zewotir ◽  
Essey Kebede Muluneh

Introduction: Socioeconomic inequality among low- and middle-income countries has an immense impact on the growth characteristics of children. Consequently, the millennium development goals were established for action to fight poverty and reduce the health problems for most disadvantaged groups. Objectives: The objectives of this study were to investigate the growth characteristics and correlates of height growth among children in low- and middle-income countries. Methods: Data from the Young Lives study conducted in Ethiopia, India, Peru and Vietnam for 15 years were used. A linear mixed-effects fractional polynomial modeling approach was used to analyze the growth characteristics and to assess the determinants. Results: There was a significant growth difference in height among children in low- and middle-income countries. Children in Vietnam grew at a faster rate during the entire period considered (1-15 years). In four countries, children grew very quickly in early childhood and the growth rates slow down gradually during the consecutive years. The results show that factors such as gender, parents’ education, household size, wealth index, access to sanitation, fathers’ age and residence area are significantly associated with child growth. Conclusion: The functional relationship between height growth and time is nonlinear. Males are taller than females at an early childhood age. Children from the most educated father and mother had been taller than those from the least educated father and mother. The effect of the household wealth index is positive on height growth, while the effect of household size is negative.


2018 ◽  
Vol 7 (11) ◽  
pp. 448 ◽  
Author(s):  
Robert Chew ◽  
Kasey Jones ◽  
Jennifer Unangst ◽  
James Cajka ◽  
Justine Allpress ◽  
...  

While governments, researchers, and NGOs are exploring ways to leverage big data sources for sustainable development, household surveys are still a critical source of information for dozens of the 232 indicators for the Sustainable Development Goals (SDGs) in low- and middle-income countries (LMICs). Though some countries’ statistical agencies maintain databases of persons or households for sampling, conducting household surveys in LMICs is complicated due to incomplete, outdated, or inaccurate sampling frames. As a means to develop or update household listings in LMICs, this paper explores the use of machine learning models to detect and enumerate building structures directly from satellite imagery in the Kaduna state of Nigeria. Specifically, an object detection model was used to identify and locate buildings in satellite images. In the test set, the model attained a mean average precision (mAP) of 0.48 for detecting structures, with relatively higher values in areas with lower building density (mAP = 0.65). Furthermore, when model predictions were compared against recent household listings from fieldwork in Nigeria, the predictions showed high correlation with household coverage (Pearson = 0.70; Spearman = 0.81). With the need to produce comparable, scalable SDG indicators, this case study explores the feasibility and challenges of using object detection models to help develop timely enumerated household lists in LMICs.


Author(s):  
Arief Andriyanto ◽  
Faisal Ibnu ◽  
Rina Nur Hidayati

The Sustainable Development Goals emphasizing an intervention to prioritize solutions to the global challenge of poor child development in low and middle income countries (LMICs). In 2015, about 25% of children under five years of age in low were stunted (Kim & Subramanian, 2017; Perkins et al., 2017; UNICEF, 2015) The WHO conceptual framework for stunting (2013) identified household and family factors, complementary feeding, breastfeeding practices and infections as the most plausible causes of stunting(Stewart, Iannotti, Dewey, Michaelsen, & Onyango, 2013)


2021 ◽  
Vol 8 ◽  
Author(s):  
George Higginbotham

The field of neurosurgery has always been propelled by the adoption of novel technologies to improve practice. Although advancements have occurred in the diagnosis, treatment, and long-term outcomes of patients, these have not translated to global patient benefit. Up to five million people each year do not have access to safe and affordable neurosurgical interventions, and those in low- and middle-income countries (LMICs) are disproportionately affected. Current approaches to increase neurosurgical capacity are unlikely to meet the UN Sustainable Development Goals target by 2030, and many of the most successful programs have been disrupted by the travel restrictions of the COVID-19 pandemic. There is therefore a pressing need for creative virtual solutions. An area of growing relevance is the use of immersive technologies: virtual reality (VR) and augmented reality (AR). AR allows additional information to be superimposed onto the surgeon's visual field, thus enhancing intra-operative visualization. This can be used for remote tele-proctoring, whereby an experienced surgeon can virtually assist with a procedure regardless of geographical location. Expert guidance can therefore be given to both neurosurgical trainees and non-neurosurgical practitioners, further facilitating the growing practice of neurosurgical task-shifting in LMICs. VR simulation is another useful tool in remote neurosurgical training, with the potential to reduce the learning curve of complex procedures whilst conserving supplies in low-resource settings. The adoption of immersive technologies into practice is therefore a promising approach for achieving global neurosurgical equity, whilst adapting to the long-term disruptions of the pandemic.


Author(s):  
Mark Britnell

The United Nation’s Sustainable Development Goals of achieving universal health coverage (UHC) by 2030 have energized many governments to devise bold strategies and make big investments in their health systems. The global movement around UHC has gathered momentum at blistering speed. Within a few years it has transformed the focus of healthcare in low- and middle-income countries from a few diseases to a comprehensive vision of affordable, accessible, and acceptable care for all. In this chapter, Mark Britnell looks at how Philippines, Vietnam, Kenya, India, Indonesia, Columbia, Costa Rica, Panama, Nigeria, South Africa, Cyprus, islands across the Caribbean, and many others have announced significant UHC reforms since the development goals were passed in 2014, and UHC has been a headline issue in a number of national elections. He analyses UHC across the world, and looks to at the future of healthcare globally.


Author(s):  
Mary McCauley ◽  
Nynke van den Broek

Maternal morbidity describes complications that have a significant effect on women during and after pregnancy, and are a leading cause of ill-health among women of reproductive age, especially in low- and middle-income countries. With the introduction of the new Sustainable Development Goals, the scope of global maternal health targets has been expanded, moving from a focus on preventing maternal mortality to formulating targets and emphasising the importance of maternal health and wellbeing. This chapter introduces the new concept of maternal morbidity, suggests how this relates to maternal mortality, and summarises what is known about the burden of maternal morbidity globally and what interventions and research are needed to improve maternal health during and after pregnancy, with an emphasis on the context of low- and middle-income countries.


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