scholarly journals The effect of Iran's Health Transformation Plan on Hospital Performance Kerman Province

2019 ◽  
Author(s):  
Reza Goudarzi ◽  
Mohammad Tasavon Gholamhoseini ◽  
Somayeh Noori Hekmat ◽  
Setareh Yousefzadeh ◽  
Saeed Amini

Abstract Background Iran has performed Health Transformation Plan(HTP) from 2014 to obtain its defined goals. This study assesses and compares the efficiency and productivity of university and non-university hospitals in Kerman provinces, Iran.Methods The data of 19 selected hospitals, two years before and two years after the Health Transformation Plan was collected in this cross-sectional study. These data included the variables of physician and nurse number, and active beds as inputs and bed occupancy rate and inpatient admission adjusted with the length of stay as outputs. Data Envelopment Analysis method used to measure hospital efficiency. Malmquist Productivity Index used to measure efficiency change model before and after the plan. The efficiency was estimated using Deap 2.1 program, and the effect of the plan on efficiency and productivity of hospitals was assessed using Stata 15.Results The results indicated that the average efficiency of all hospitals before the HTP was 0.843 and after the HTP was increased to 0.874. However, this was not significant (P>0.05). Productivity also had a decreasing trend.Conclusion Based on the results of the DEA method, it was found that the efficiency and productivity of university and non-university hospitals did not increase significantly after the HTP. Therefore, it is recommended that attention should be paid to the performance indicators of hospitals regarding how resources are allocated and decisions made.

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247155
Author(s):  
Reza Goudarzi ◽  
Mohammad Tasavon Gholamhoseini ◽  
Somayeh Noori Hekmat ◽  
Setareh YousefZadeh ◽  
Saeed Amini

Iran has performed Health Transformation Plan (HTP) from 2014 to obtain its defined goals. This study assesses and compares university and non-university hospitals’ efficiency and productivity in Kerman provinces, Iran. The data of 19 selected hospitals, two years before and two years after Health Transformation Plan, was collected in this cross-sectional study. These data included the variables of physician and nurse number, and active beds as inputs and bed occupancy rate and inpatient admission adjusted with the length of stay as outputs. Data Envelopment Analysis method used to measure hospital efficiency. Malmquist Productivity Index is used to measure the efficiency change model before and after the plan. The efficiency and effect of the plan on hospitals’ efficiency and productivity were assessed using R software. The results indicated that all hospitals’ average efficiency before the HTP was 0.843 and after the HTP was increased to 0.874. However, it was not significant (P>0.05). Productivity also had a decreasing trend. Based on the DEA method results, it was found that university and non-university hospitals’ efficiency and productivity did not increase significantly after the HTP. Therefore, it is recommended that attention be paid to hospitals’ performance indicators regarding how resources are allocated and decisions made.


1970 ◽  
Vol 5 (1) ◽  
pp. 77
Author(s):  
Mahadzir Ismail ◽  
Saliza Sulaiman ◽  
Hasni Abdul Rahim ◽  
Nordiana Nordin

The Financial Master Plan (2001- 2010) aims to enhance the capacity of banking industry so that higher effic iency and productivity can be reaped in the future. This study seeks to determine the impact of merger on the efficiency and productivity ofcommercial banks in Malaysia for the period 1995 until 2005. The study uses a non-parametric approach, nam ely DEA (data envelopment analysis?) to estimate the efficiency scores and to construct the Malmquist productivity index. To enable this estimation, three bank inputs and outputs are used. Amongst the findings are those banks exhibit higher efficiency score after the merger and thefo reign banks are more efficient than the local banks. Productivity of the banks is calculated in both periods, before and after the merger: The results show that, it is the local banks that have improved the most after the merger. The main source of productivity is technical change or innovation. The findings support the existing policy of having larger domestic banks in term of size.


Author(s):  
Chams-Eddine Djaghballou ◽  
Mohamed Djaghballou ◽  
Mousa Larbani ◽  
Azhar Mohamad

Purpose The purpose of this study is to examine the efficiency and productivity performance of zakat funds managed by Directorates of Religious Affairs and Endowments (DRAE) in Algeria. Design/methodology/approach In this study, the authors employ data envelopment analysis and measure Malmquist Productivity Index for DRAE’s input and output data spanning from 2003 to 2013. Findings The authors find that total factor productivity has increased sharply for all zakat funds, mainly due to a technical rather than efficiency change. Further decomposition of the efficiency change into its pure technical and scale efficiency components suggests that the pure efficiency is a more important source of efficiency change than the scale efficiency component, meaning that zakat funds rely on technical aspects to gain efficiency. Originality/value The findings of this study are expected to contribute considerably to the existing knowledge on the operating performance of zakat funds in Algeria.


2019 ◽  
pp. 243-257
Author(s):  
Aas Nurasyiah ◽  
Risa Sari Pertiwi ◽  
Faqih Adam

The efficiency and productivity of Zakat institution have widely discussed, it is an organization based on social which looks after economic disparities. Most recently, Indonesia made a standardization policy and system of zakat institution, so that the zakat institution in Indonesia can reach the same quality or higher rather than other countries. It called Zakat Core Principles. Therefore, this research will focus on the zakat institution in Indonesia and Malaysia. The purpose of this study is to measure and compare the efficiency and productivity using Data Envelopment Analysis (DEA) and Malmquist Productivity Index (MPI), which is a non-parametric and deterministic methodology for determining the relative efficiency and productivity. The result of this research shows, The first quadrant is the best efficient and productive institutions gained by zakat institution in Indonesia namely Sinergi Foundation and 3 zakat institutions in Malaysia namely Kedah, Melayu Perak, and Selangor. The second quadrant is highly productive but low efficient achieved by zakat institutions in Indonesia namely Baznas, RZ, Dompet Dhuafa and 1 zakat institution in Malaysia namely Jawhar. The third quadrant is high efficient but low productive didn’t achieve by any zakat institution in Indonesia or Malaysia. The fourth quadrant is low efficient and low productive reached by 1 zakat institution in Indonesia namely PKPU and 3 zakat institution in Malaysia namely Kelantan, PPZ and Pahang. The implication in this study is describing the position of zakat institution in Indonesia and Malaysia so that it is known which zakat institution could be a role model or benchmarking for other zakat institution.  


Author(s):  
Farhana Ferdousi

The aim of this study is to measure efficiency of various Microfinance Institutions (MFIs) in Bangladesh before and after introducing Microcredit Regulatory Authority (MRA) in order to capture the immediate impact of regulation. Data Envelopment Analysis (DEA) and Malmquist Productivity index technique have been used for this study. Findings reveal that 35% firms’ average productivity increase sharply after enacting microfinance regulation. Seven firms have been graduated from the inefficiency level to efficiency level. However, most of the firms among the increased efficiency list are comparatively young in terms of starting their microfinance operations. Result of Tobit regression does not find any significant relationship between efficiency and regulation. Due to regulation, only number of outreach increases but to ensure more productive growth, MRA needs to be more proactive in strengthening policy environment and educating MFIs to be better equipped with sound financial and managerial tools and techniques.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Slađana Savović ◽  
Predrag Mimović

PurposeThe purpose of this paper is to explore the effects of cross-border acquisitions on the efficiency and productivity of acquired companies in the cement industry in the context of a transitional economy.Design/methodology/approachThe Data Envelopment Analysis (DEA) and Malmquist Productivity Index were used to assess the efficiency and productivity of the acquired companies over the period 2000–2018. DEA and Malmquist index are combined with bootstrapping to perform succinct statistical inferences for determining the accuracy of results. The study assesses partial efficiency and productivity of three inputs: material, capital and labour, as well as the total factor efficiency and productivity of the acquired companies in the short and long term after the acquisitions.FindingsThe research results suggest that efficiency of material, efficiency of labour and the total factor efficiency of the acquired companies are higher after the acquisitions than before, while efficiency of capital is lower. In addition, the results show that the acquisitions had a positive impact on total factor productivity of the acquired companies.Practical implicationsThe results of this study have practical implications for managers, especially for policy-makers and industry analysts in deciding whether to encourage or discourage cross-border acquisitions in transitional economies.Originality/valueThe study contributes to a better understanding of the impact of cross-border acquisitions on efficiency and productivity of acquired companies in the manufacturing industry. Research in transitional economies related to subject matter is limited, and this study is the first empirical investigation of the effect of cross-border acquisitions on the efficiency and productivity in the cement industry in Serbia by applying the Data Envelopment Analysis.


Filomat ◽  
2016 ◽  
Vol 30 (10) ◽  
pp. 2653-2661 ◽  
Author(s):  
Salman Abbasian-Naghneh

Data Envelopment Analysis is a linear programming technique for assessing the efficiency and productivity of decision making units (DMUs). Over the last decade, DEA has gained considerable attention as a managerial tool for measuring performance. The flexibility in selecting the weights in standard DEA models deters the comparison among DMUs on a common base. Moreover, these weights are unsuitable to measure the preferences of a decision maker (DM). For dealing with these two difficulties simultaneously; we use preference common weights. This paper uses preference common weights for time-series evaluations to calculate the global Malmquist productivity index (MPI) so that the productivity of changes of all DMUs have a common basis for comparison, and DM?s preference information is incorporated in calculating global MPI. The Malmquist Productivity Index (MPI) suggests a convenient way of measuring the productivity change of a given unit between two consequent time periods.


2020 ◽  
Vol 6 (2) ◽  
pp. 270
Author(s):  
Selvia Rustyani ◽  
Suherman Rosyidi

This study aims to measure the level of efficiency and productivity of the amil zakat institution in Indonesia. This research is a quantitative research using Data Envelopment Analysis (DEA) and Malmquist Productivity Index (MPI) methods. There are six institutions of amil zakat (LAZ in Indonesia, namely Yayasan Dana Sosial Al-Falah (YDSF), Al-Azhar Peduli Ummat, Aksi Cepat Tanggap (ACT), Yayasan Rumah Yatim Arrohman Indonesia, Pos Kemanusiaan Peduli Ummat (PKPU), and Rumah Zakat Indonesia with 2014 - 2016 annual data as the number of DMUs (desicion making units). This study uses an intermediation approach in determining the variables. The input variables of this research are Collected Funds (X1), Total Costs (X2), and Amil Receipts (X3), while the output variables are Funds Disbursed (Y1), and Total Assets (Y2). There were two LAZs that experienced inefficiencies in 2014 and 2015, namely LAZ YDSF and ACT. Meanwhile, in 2016, all LAZ have achieved optimal levels of efficiency. The results of the MPI analysis show that in the first year there were two LAZs that experienced a decline in productivity, namely LAZ Al-Azhar and PKPU. The other four LAZs experienced increased productivity, namely LAZ YDSF, ACT, Rumah Yatim, and Rumah Zakat. In the second year, there were three LAZs who experienced increased productivity, namely LAZ Al-Azhar, PKPU, and Rumah Zakat. Meanwhile, three other LAZ experienced a decrease in productivity, namely LAZ YDSF, ACT, and Rumah Yatim.Keywords: Efficiency, Productivity, LAZ, DEA, MPI


2014 ◽  
Vol 19 (Supplement_1) ◽  
pp. S191-S213 ◽  
Author(s):  
Tomas Baležentis ◽  
Algimantas Misiūnas ◽  
Alvydas Baležentis

Reasonable strategic management requires the complex assessment of the regulated area. This study, thus, presents a multi-criteria framework for frontier assessment of efficiency and productivity across the Lithuanian economic sectors throughout 2000–2010. The data envelopment analysis was employed to estimate efficiency in terms of an output indicator (value added) and input indicators (intermediate consumption, capital consumption, and remunerations). Furthermore, the decomposition of the Malmquist productivity index enabled to describe the impact of frontier shifts and catch-up effect on the overall change in efficiency. The multi-criteria decision making method MULTIMOORA aggregated different indicators of efficiency and productivity and thus resulted in the ranking of the economic sectors. The analysis suggests that services sector was the most efficient one, whereas manufacturing was second best. Certain branches of manufacturing, namely pharmaceutical, wood, food, and furniture industry, were rather efficient.


2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Yennie Glorya Panjaitan ◽  
Edy Yusuf Agung Gunanto

Sektor pariwisata sebagai salah satu sektor yang diandalkan bagi penerimaan daerah maka pemerintah Provinsi Jawa Tengah dituntut untuk dapat menggali dan mengelola potensi wisata yang dimiliki. Penelitian ini bertujuan untuk menganilisis tingkat efisiensi dan produktivitas pada sektor pariwisata di Jawa Tengah antara tahun 2017 dan 2019 dengan sampel 35 Kabupaten/Kota. Analisis dilakukan dengan menggunakan konsep efisiensi yang didasarkan pada teori produksi, pengukuran nilai efisiensi dan produktivitas diperoleh menggunakan metode analisis Data Envelopment Analysis (DEA) dan Malmquist Productivity Index (MPI). Asumsi yang digunakan adalah variable return to scale (VRTS) dan model orientasi output (output oriented). Dengan variable input objek wisata, restoran dan rumah makan, biro perjalanan wisata dan jumlah hotel bintang serta melati. Variabel output dalam penelitian ini adalah wisatawan dan pendapatan sektor pariwisata. Hasil akhir penelitian menunjukkan bahwa terdapat 16 Kabupaten/Kota (45,8%) di tahun 2017, 18 Kabupaten/Kota (51,4%) di tahun 2019 yang mencapai efisiensi teknis penuh. Total Factor productivity change mengindikasikan bahwa 22 Kabupaten/Kota (62,8%) mendekati frontier baik pada frontier produksi maupun frontier efisiensi dan dari scale efficiency change mengindikasikan bahwa terdapat 17 Kabupaten/Kota (48,57%) mengalami perbaikan efisiensi teknis selama periode 2017 ke 2019.


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