The performance of public health sector in Aceh, Indonesia

  • Nanda Nur Sofyana Universitas Islam Kebangsaan Indonesia
Keywords: Keywords: publih health policy; efficiency measurement; Data Envelopment Analysis (DEA)

Abstract

Abstract

This study analyses performance measurement of public health sector in Aceh province, where this province consists of 17 municipalities and 5 cities. The measurement issue in this study is in terms of efficiency by using a non-parametric method that is Data Envelopment Analysis (DEA). There are two findings that can be applied in policy implications. First, this paper explains the performance measurement of public sector in Aceh using output and input variables. Second, another key finding in this study is to obtain information regarding which district called efficient and vice versa.  

 

References

References
[1] Aceh District Level Health Office 2017. Aceh’s health profile 2017, viewed 7 October 2019,
[2] Aceh public expenditure analysis : spending for reconstruction and poverty reduction 2006, World Bank, viewed 15 October 2019,
[3] Afonso, A & Aubyn, MS 2005, ‘Non parametric approaches to education and health efficiency in OECD countries’. Journal of Applied Economics, vol. 8, no. 2, pp. 227-246.
[4] Alatas, S & Cakir, M 2016, ‘The effect of human capital on economic growth: a panel data analysis’, Journal of Administrative Sciences, vol. 14, no. 27, pp. 539-555.
[5] Becker, G, Kevin, M & Robert, FT 1990, ‘Human capital, fertility, and economic growth’, Journal of Political Economy, vol. 98, no. 3, pp. 12-37.
[6] Bleakley, H 2010, ‘Health, human capital, and development’, Annu Rev Econom, vol. 2, no. 1, pp. 283-310.
[7] Bowlin, W 1998, ‘Measuring performance: an introduction to data envelopment analysis (DEA)’, Journal of Cost Analysis, vol. 15, no. 2, pp. 3-27.
[8] Buisman, LR, Van de Poel, E & O’Donnell O, KA van Doorslaer E 2019, ‘What explains the fall in child stunting in Sub-Saharan Africa’, SSM-Population Health, vol. 8, no. 100384.
[9] Cervellati, M & Sunde, U 2005, ‘Human capital formation, life expectancy, and the process of development’, The American Economic Review, vol. 95, no. 5, pp. 1653-1672.
[10] Coelli T 1998, ‘A multi-stage methodology for the solution of oriented DEA models’, Operations Research Letters, vol. 23, no. 3-5, pp. 143-149.
[11] Coelli, TJ, Rao, DSP, O’Donnel, CJ & Battese, GE 2006, An introduction to efficiency and productivity analysis, 2nd edn, Springer Science+Business Media, New York.
[12] Cooper, WW, Seiford, LM & Tone K 2007, Data envelopment analysis a comprehensive text with models, applications, references and DEA-solver software, 2nd edn, Springer Science+Business Media, New York.
[13] Degroff, A, Schooley, M, Chapel, T, Poister, TH 2010, ‘Challenges and strategies in applying performance measurement to federal public health programs’, Evaluation and Program Planning, vol. 33, no. 4, pp. 365-372.
[14] Gupta, S & Verhoeven, M 2001, ‘The efficiency of government expenditure expenditure from Africa’, Journal of Policy Modeling, vol. 23, no. 4, pp. 433-467.
[15] Hansen, CW 2013, ‘Life expectancy and human capital: evidence from the international epidemiological transition’, Journal of Health Economics, vol. 32, no. 6, pp. 1142-1152.
[16] Hauner, D & Kyobe, A 2010, ‘Determinants of government efficiency’ International Monetary Fund, vol. 38, no. 11, pp. 1527-1542.
[17] Indonesian Health Ministry 2018, Buletin stunting, Indonesian Health Ministry, viewed 10 October 2019,
[18] Indonesian health ministry 2016, Infodatin: situasi balita pendek, Indonesian Health Ministry, viewed 17 October 2019,
[19] Indonesian Health Ministry 2018, Indonesian Basic Health Research (RISKESDAS), Indonesian Health Ministry, viewed 10 October 2019,
[20] Kumar, A & Kober, B 2012, ‘Urbanization, human capital, and cross-country productivity differences’ Economic Letters, vol. 117, no. 1, pp. 14-17.
[21] Jayachandran, S & Lleras-Muney, A 2009, ‘Life expectancy and human capital investments: evidence from maternal mortality declines’, The Quarterly Journal of Economics, vol. 124, no. 1, pp. 349-397.
[22] Kruse, I, Pradhan, M & Sparrow, R 2012, ‘Marginal benefit incidence of public health spending: evidence from Indonesian sub-national data’ Journal of Health Economics, vol. 31, no. 1, pp. 147-157.
[23] Mankiw, NE, Romer, D, & Weil, DN 1992, ‘A contribution to the empirics of economic growth’ Quarterly Journal of Economics, vol. 107, no. 2, pp. 407-437.
[24] Prasetyo, AD & Zuhdi, U 2013, ‘The government expenditure towards the human development’, Procedia Economics and Finance, vol. 5, no. 1, pp. 615-622.
[25] Ruel, MT & Alderman, H 2013, ‘Nutrition-sensitive interventions and programmes: how can they help to accelerate progress in improving maternal and child nutrition?’, Lancet, vol. 382, no. 9891, pp. 536-551.
[26] Schwartz, R & Deber, R 2016, ‘The performance measurement-management divide in public health’, Health Policy, vol. 120, no. 3, pp. 273-280.
[27] Singh, A, Yadava, K & Priti, K 2015, ‘Projection of infant mortality rate: application of life expectancy’, Global Journal of Multidisciplinary Studies, vol. 4, no. 4, pp. 88-95.
[28] Solow, R 1956, ‘A contribution to the theory of economic growth’, The Quarterly Journal of Economics, vol. 70, no. 1, pp. 65-94.
[29] Statistics of Aceh Province 2017, Life expectancy-new methods, Statistics of Aceh, viewed 10 October 2019,
[30] Subramanyam, T 2016, ‘Selection of input-output variables in data envelopment analysis-Indian commercial banks’, International Journal of Computer & Mathematical Sciences, vol. 5, no. 6, pp. 51-57.
[31] Swan, T 1956, ‘Economic growth and capital accumulation’, Economic Record, vol. 32, no. 2, pp. 334-361.
[32] Vulcanescu, RT 2014, ‘Improvement of public health performance based on cost-effectiveness’, Journal of Self-Governance and Management Economics, vol. 2, no. 2, pp. 38-43.
Published
2022-03-16
Abstract viewed = 247 times
PDF downloaded = 340 times