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Technological University, Hmawbi
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University of Computer Studies, Mandalay
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Yangon University of Economics
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Yangon University of Education
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Yangon University of Foreign Languages
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New Index
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Item
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Measuring Efficiency of Public Hospitals in Myanmar (Nan Nan Aung, 2022)
https://meral.edu.mm/records/8492
https://meral.edu.mm/records/849222d122ca-accf-4431-b010-5d0d0bc120bb
19bcb07d-95a1-4983-96a5-c67e2d5ac78d
Name / File | License | Actions |
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Publication type | ||||||
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Thesis | ||||||
Upload type | ||||||
Other | ||||||
Title | ||||||
Title | Measuring Efficiency of Public Hospitals in Myanmar (Nan Nan Aung, 2022) | |||||
Language | en | |||||
Publication date | 2022-10-01 | |||||
Authors | ||||||
Nan Nan Aung | ||||||
Description | ||||||
The health care costs are increasing time to time. Enhancing health care productivity is important for the best use of its resources so that the health care costs are efficiently managed. The investment in health care and addressing its efficiency are significant for robust health system. Myanmar has two tiers health system; public and private health sectors to serve the people. The public hospitals occupy 80% of Myanmar health system, it is worthy to study the public hospitals’ efficiency. This study aims to estimate the public hospitals’ technical efficiency and to examine the effects of input variables on technical efficiency. The Cobb- Douglas function and translog production function models were tested for model fit to measure the technical efficiency. The data from seventy-nine public hospitals for the period 2005-2018, over fourteen years were analyzed in which number of patients is dependent variable, and number of health workforce (labor) and number of beds (capital) are explanatory variables. The public hospitals production function has 93 % technical efficiency and the gamma value 0.99 indicates high variabilities in hospital production. This study found that there is substitutability between hospital beds (capital) and midwives, and other health staff (labor). With existing number of doctors and nurses can increase the maximum output of hospital production function. Doubling the number of other health staff contributes to increasing hospital technical efficiency. The findings provide useful information for making decision on strengthening health system by allocating human and capital resources effectively. | ||||||
Thesis/dissertations | ||||||
Yangon University of Economics | ||||||
Daw Khin Thet Tun |