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Productivity Measures for Health and Education Sectors in Indonesia

This study analyses the relative efficiency of district public health and education service delivery in Indonesia over the period 2003 to 2008. We apply production frontier models to assess the efficiency of districts in achieving education and health outputs, and costs functions to assess the efficiency of public spending. The analysis combines data from the Ministry of Finance on district spending, Susenas household surveys, and health and education infrastructure indicators from the PODES village census.

The data show a strong increase in district health and education public spending, as well as service availability. Yet, we also see a large disparity in spending between districts in terms of per capita public spending, both within and between regions. To a large extent this is driven by relatively static characteristics of districts. However, there is some evidence of convergence in spending levels as well as scope for local policy changes to overcome initial public spending differences. This suggests that the central government transfers remain an important policy tool for equalizing investment in health and education in districts.

The analysis reveals substantial variation in efficiency across regions in Indonesia. Given the level of service delivery, district public spending per capita is on average relatively low in Java and Bali. In contrast, Sulawesi and Kalimantan are relatively less efficient in terms of spending, while in Sumatra spending efficiency by district governments has declined strongly since 2006. Districts in Java and Bali also perform well in terms of technical efficiency, as service delivery in these districts is relatively high, given the level of spending and available infrastructure.

Ketersediaan
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Informasi Detail
Judul Seri
Working Paper
No. Panggil
362.1 PRA p
Penerbit
Jakarta : TPN2K.,
Deskripsi Fisik
ix, 43 Halaman ; 30 cm, PDF
Bahasa
English
ISBN/ISSN
978-602-275-109-0
Klasifikasi
362.1
Tipe Isi
Hardcopy & Softcopy
Tipe Media
Hardcopy & Softcopy
Tipe Pembawa
-
Edisi
TNP2K Working Paper 15 - 2014
Subjek
Kesehatan dan Pendidikan di Indonesia
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • Productivity Measures for Health and Education Sectors in Indonesia
    This study analyses the relative efficiency of district public health and education service delivery in Indonesia over the period 2003 to 2008. The authors production frontier models to assess the efficiency of districts in achieving education and health outputs, and costs functions to assess the efficiency of public spending. The analysis combines data from the Ministry of Finance on district spending, Susenas household surveys, and health and education infrastructure indicators from the PODES village census. The data show a strong increase in district health and education public spending, as well as service availability. Yet, the authors also see a large disparity in spending between districts in terms of per capita public spending, both within and between regions. To a large extent this is driven by relatively static characteristics of districts. However, there is some evidence of convergence in spending levels as well as scope for local policy changes to overcome initial public spending differences. This suggests that the central government transfers remain an important policy tool for equalizing investment in health and education in districts. The analysis reveals substantial variation in efficiency across regions in Indonesia. Given the level of service delivery, district public spending per capita is on average relatively low in Java and Bali. In contrast, Sulawesi and Kalimantan are relatively less efficient in terms of spending, while in Sumatra spending efficiency by district governments has declined strongly since 2006. Districts in Java and Bali also perform well in terms of technical efficiency, as service delivery in these districts is relatively high, given the level of spending and available infrastructure.
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