Number Of DMUs Research Articles

Efisiensi Belanja Pemerintah Terhadap Indeks Pembangunan Manusia Secara Regional di Indonesia

This study analyzed the efficient level for Government expenditure on the regional Human Development Index (HDI) in Indonesia in 2014-2018. This study used panel data with the number of DMUs in 34 provinces in Indonesia, while the input variable was government spending in the health, education, economy, social protection sectors, and the output variable was the human development index for 2014-2018. This study used Data Envelopment Analysis (DEA) testing and focused on input (input-oriented) by using the assumption of Variable Return to Scale (VRS). The results showed that only 14 provinces were efficient in using Government Expenditures to increase HDI, but 20 provinces were inefficient in using Government Expenditures to increase HDI. Thus it is hoped that all provinces, especially those who were inefficient, can improve their performance in the use of government expenditure budgets that have been used in increasing the HDI value and the government can make decisions or policies in the problem of achieving the HDI value for each province in Indonesia.

Efisiensi Belanja Pemerintah Terhadap Indeks Pembangunan Manusia Secara Regional di Indonesia

This study analyzed the efficient level for Government expenditure on the regional Human Development Index (HDI) in Indonesia in 2014-2018. This study used panel data with the number of DMUs in 34 provinces in Indonesia, while the input variable was government spending in the health, education, economy, social protection sectors, and the output variable was the human development index for 2014-2018. This study used Data Envelopment Analysis (DEA) testing and focused on input (input-oriented) by using the assumption of Variable Return to Scale (VRS). The results showed that only 14 provinces were efficient in using Government Expenditures to increase HDI, but 20 provinces were inefficient in using Government Expenditures to increase HDI. Thus it is hoped that all provinces, especially those who were inefficient, can improve their performance in the use of government expenditure budgets that have been used in increasing the HDI value and the government can make decisions or policies in the problem of achieving the HDI value for each province in Indonesia.

Rough Sets and DEA — a hybrid model for technology assessment

Technology management in complex ecosystems requires advanced technology assessment tools. Data Envelopment Analysis (DEA) is a powerful tool for a multi-criteria comparative performance assessment of different objects (Decision Making Unit — DMU) in the same class. However, the DEA method is capable of adequately differentiating DMUs only when the number of analysed criteria is a few times less than the number of DMUs. Application of DEA in technology assessment requires prior data redundancy reduction due to the multiplicity of technology assessment criteria. The literature suggests various approaches to limiting the cardinality of the criteria sets for the performance analysis using the DEA method. One of the popular approaches is to create synthetic criteria by means of the Principle Component Analysis (PCA). This paper, in turn, proposes a sophisticated rough sets concept. Due to the nature of technology analysis, namely, a small number of objects and many criteria with linguistic values, the proposed approach based on the concept of rough sets seems to be appropriate.

Data Envelopment Analysis for Relative Efficiency Measurement of Chinese Hospitals: A Systematic Review

<p><em>The purpose was to explore the gap between China and the international world in efficiency measurement of hospitals with Data Envelopment Analysis, and to improve the standardization of healthcare efficiency measurement in China. A systematic review was conducted using appropriate search strategies. Studies were included containing DEA approaches regarding general hospital efficiency, published in international literature and in both Chinese and English about Chinese hospitals from January 2004 to October 2014. The results showed </em>that<em> statistical significances were found in indicators such as number of DMUs, percentage of allocative efficiency studies, ratio of studies with multiple years, number of studies with monetary indicators in input and output sets, etc. The statistical insignificance in some indicators such as the number of input and output indicators were also found among China, Europe, USA and others. Some problems were found in current DEA-based hospital efficiency studies in China, such as inappropriate selection of input-output indicators, no bias-correction on efficiency scores, etc. The standardization of DEA methods applied in China’s hospital efficiency research needs to be improved. Chinese researchers should pay more attention to latest international research findings, so as to keep pace with the cutting edge hospital efficiency research.</em><em></em></p>

AN IMPROVED MODEL FOR ASSESSING THE FDH-COST EFFICIENCY

Recently Leleu [A linear programming framework for free disposal hull (FDH) technologies and cost functions: Primal and dual models] presented a linear model for assessing the FDH-cost function with various returns to scale assumptions. He stated that economic inefficiency can be computed as the ratio of the observed cost to the minimum cost and, as usual, the allocative inefficiency is computed as the ratio between the economic and the technical inefficiencies. In this paper, we propose a modified model with various returns to scale assumptions that has fewer constraints and variables than Leleu's model and obtains the FDH-cost efficiency directly. Reducing nm constraints and nm variables, where n is the number of DMUs and m is the number of inputs, leads to the computational advantage of our model over that of Leleu.