Journal
Analysis of Efficiency of Government Expenditure In Health Sector in Central Java Province in 2012-2014
Economics Development Analysis Journal · Vol. 6 No. 1 (2017) · pp. 30–39
- ISSN
- 2252-6560
- Published
- 2017-02-01
- Publisher
- Economics Development Department, Universitas Negeri Semarang, Indonesia
- Language
- eng
Abstract
Health is one of the important factors in the success of the economic development in a country. The Government has managed the health budgets of at least ten percent of the total of the available local government budget. However, the amount of health budget has not been balanced yet by the optimal achievement of health status. This research aims at analyzing the technical efficiency level of the expenditure cost and the health service system and the target of improvement in order to achieve the efficiency in Central Java province in 2012-2014. This research uses Data Envelopment Analysis (DEA) method that will yield a relative efficiency value. The research uses health budget as the input variable, uses facilities and health services as the intermediate output variable, and uses the health status as the outcome variable. The assumption used is: Variable Return to Scale (VRS) and the output oriented model. The results of research that use the DEA method show that with the cost technical efficiency there are only five regencies/cities (14.3%) that have achieved an efficiency of 100 percent. While with the system technical efficiency there are only eleven regencies/cities (31.4%) that have achieved an efficient condition. This means, most regencies/cities in Central Java Province have not still efficient yet in the use of expenditure of health sector budget.
Collaboration network of the authors
40 authors · 62 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- State University of Semarang
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Agus Wahyudin | Affiliation unknown | 3 |
| Joko Widodo | Affiliation unknown | 2 |
| Sucihatiningsih Dian Wisika Prajanti | State University of Semarang | 2 |
| Rusdarti | Affiliation unknown | 2 |
| Muhammad Khafid | Affiliation unknown | 2 |
| Rusdarti Rusdarti | Affiliation unknown | 2 |
| Adila Dhiya Hanifa | Affiliation unknown | 1 |
| Shavera Sofiana Malia | Affiliation unknown | 1 |
| Uswatun Hasanah | Affiliation unknown | 1 |
| Ilham Romadona | Affiliation unknown | 1 |
| Linda Ika Wahyuntari | Affiliation unknown | 1 |
| Lavinia Elisa Berliana | Affiliation unknown | 1 |
| Ilma Ulfatul Janah | Affiliation unknown | 1 |
| Nadya Astin Saraswati | Affiliation unknown | 1 |
| Ragil Haryanto | Affiliation unknown | 1 |
| Mada Sophianingrum | Affiliation unknown | 1 |
| Mohamad Imron | Affiliation unknown | 1 |
| Prasetyo Ari Bowo | Affiliation unknown | 1 |
| Reza Nadya Isabella Putri | Affiliation unknown | 1 |
| Ngalimatul Ma’sumah | Affiliation unknown | 1 |
| Septi Diana Sari | Affiliation unknown | 1 |
| Vina Tahara | Affiliation unknown | 1 |
| Devi Ratna Ningsih | Affiliation unknown | 1 |
| Wijang Sakitri | Affiliation unknown | 1 |
| Ika Fitriani | Affiliation unknown | 1 |
| Zaroni Zaroni | Affiliation unknown | 1 |
| Maldhimas Uut Wardana | Affiliation unknown | 1 |
| Muhammad Fachri Zaki | Affiliation unknown | 1 |
| Adnan Abdul Safii | Affiliation unknown | 1 |
| Andi Tidar Febriyanto | Affiliation unknown | 1 |
| Mashuri Mashuri | Affiliation unknown | 1 |
| Hana Yunita Anggraini | Affiliation unknown | 1 |
| Bestari Dwi Handayani | Affiliation unknown | 1 |
| Silvia Margaret | Affiliation unknown | 1 |
| Sinta Saraswati | Affiliation unknown | 1 |
| Widowati Widowati | Affiliation unknown | 1 |
| Amin Retnoningsih | Affiliation unknown | 1 |
| Junita Astutik | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.