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Purpose – This research analyzes and describes the implementation of the North Aceh Regency education budget policy for improving the quality of education in relationship to the impact of the special autonomy budget.

Design/Methodology/Approach – This research uses qualitative research, descriptive-qualitative analysis methods, and qualitative explorative methods.

Findings – The results show that the implementation of the special autonomy education budget policy of North Aceh Regency to improve the education quality has not run optimally. The main obstacle is the inadequate human resource issue, including the leadership problems of regional heads who should prioritize the development. Based on field data of the actors involved in the formulation of the education quality improvement program in Aceh Utara District, especially the legislative branch (namely BAPPEDA), the education office and members of the Aceh legislative team, the post-conflict Aceh representation of the legislature at the provincial level, the DPRA and DPRK at the district level / in the field of political will produced. The resulting program does not focus on the pattern of improving the quality of education, the policy is more rhetorical, and the program implementation is often adapted to the wishes of political actors.

Research Limitations/Implications – Given the fundamental differences in the root causes of primary and secondary education in Aceh, further research is needed to determine whether similar results will be obtained in other parts of Aceh.

Originality/Value – Identifies factors that lead to the low quality of educators and the unequal distribution of teachers in the Aceh Regency.

Paper Type – Research paper

The 30 MOCHA (Models of Child Health Appraised) countries are diverse socially, culturally and economically, and differences exist in their healthcare systems and in the scope and role of primary care. An economic analysis was undertaken that sought to explain differences in child health outcomes between countries. The conceptual framework was that of a production function for health, whereby health outputs (or outcomes) are assumed affected by several ‘inputs’. In the case of health, inputs include personal (genes, health behaviours) and socio-economic (income, living standards) factors and the structure, organisation and workforce of the healthcare system. Random effects regression modelling was used, based on countries as the unit of analysis, with data from 2004 to 2016 from international sources and published categorisations of healthcare system. The chapter describes the data deficiencies and measurement conundrums faced, and how these were addressed. In the absence of consistent indicators of child health outcomes across countries, five mortality measures were used: neonatal, infant, under five years, diabetes (0–19 years) and epilepsy (0–19 years). Factors found associated with reductions in mortality were as follows: gross domestic product per capita growth (neonatal, infant, under five years), higher density of paediatricians (neonatal, infant, under five years), less out-of-pocket expenditure (neonatal, diabetes 0–19), state-based service provision (epilepsy 0–19) and lower proportions of children in the population, a proxy for family size (all outcomes). Findings should be interpreted with caution due to the ecological nature of the analysis and the limitations presented by the data and measures employed.