scholarly journals Measurement of Efficiency and Productivity of Zakat Institutions in Indonesia using Data Envelopment Analysis and the Malmquist Productivity Index

2018 ◽  
Vol 3 (3) ◽  
pp. 69-82 ◽  
Author(s):  
Selvia Rustyani ◽  
Suherman Rosyidi
Keyword(s):  
Data Envelopment Analysis ◽  
The Other ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
First Year ◽  
Annual Data ◽  
Data Envelopment ◽  
Input Variables ◽  
Using Data ◽  
Efficiency And Productivity

This study aims to measure the level of efficiency and productivity of zakat institutions in Indonesia.Quantitative research using the methods of Data Envelopment Analysis (DEA) and the Malmquist Productivity Index (MPI). There are six Amil Zakat (LAZ) institutions in Indonesia, namely Yayasan Dana SosialAl-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 (decision 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 Acceptance (X3), while the Output variables are Funds Distributed (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 LAZs achieved optimal levels of efficiency. The results of the MPI analysis show that in the first year two LAZs experienced a decline in productivity, namely LAZ Al-Azhar and PKPU. The other four LAZs sawan increase in productivity, namely LAZ YDSF, ACT, Rumah Yatim, and Rumah Zakat. In the second year, three LAZsexperienced a rise in productivity, namely LAZ Al-Azhar, PKPU, and Rumah Zakat, while the other three LAZs experienced a decrease in productivity, namely LAZ YDSF, ACT, and Rumah Yatim.

scholarly journals Measurement of Efficiency and Productivity of Amil Zakat Institutions in Indonesia by using Data Envelopement Analysis Methods and Malmquist Productivity Index

2020 ◽  
Vol 6 (2) ◽  
pp. 270
Author(s):  
Selvia Rustyani ◽  
Suherman Rosyidi
Keyword(s):  
Quantitative Research ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
First Year ◽  
Annual Data ◽  
Data Envelopment ◽  
Second Year ◽  
Input Variables ◽  
Using Data ◽  
Efficiency And Productivity

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

scholarly journals An Efficiency and Productivity of Zakat Institution in Malaysia and Indonesia: The Comparative Study

2019 ◽  
pp. 243-257
Author(s):  
Aas Nurasyiah ◽  
Risa Sari Pertiwi ◽  
Faqih Adam
Keyword(s):  
Role Model ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Fourth Quadrant ◽  
High Efficient ◽  
Using Data ◽  
The Comparative Study ◽  
Standardization Policy ◽  
Efficiency And Productivity

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.  

scholarly journals A comparative evaluation of operational efficiency of wood industry using data envelopment analysis and Malmquist productivity index

2019 ◽  
Vol 70 (3) ◽  
pp. 287-298 ◽  
Author(s):  
Jože Kropivšek ◽  
Matej Jošt ◽  
Petra Grošelj ◽  
Darko Motik ◽  
Andreja Pirc Barčić ◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
Comparative Evaluation ◽  
Operational Efficiency ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Low Carbon ◽  
Wood Industry ◽  
International Comparative ◽  
Using Data

The wood industry, as a traditional sector, represents a very important part of the economy in terms of ensuring a sustainable development of society and transition to a low-carbon society in both countries studied, Slovenia and Croatia. For its further development, it is crucial to know the current position of the industry. The best way to achieve this is an analysis of financial data and international comparative evaluation of its operational efficiency. The aim of the research is to compare the relative efficiency of the wood industry using Data Envelopment Analysis (DEA) and the Malmquist Productivity Index (MI), focusing on the Slovenian and Croatian wood industry sectors (C16 and C31) for a recent five-year period (from 2013-2017). With this purpose, the combined measure DEA/MI was applied. The analysis includes only the highest rated companies with more than fi ve employees, divided into 12 clusters regarding the company size. As a result, it was established that clusters CRO-C31- micro, CRO-C16-micro and SI-C16-larger have the highest operational efficiency, due to the effects of different financial indicators, especially activity and liquidity ratios. In general, within the grouped clusters regarding country and subsector, groups SI-C16 and CRO-C31 achieve the highest values for the average of weighted score of efficiency, while CRO-C16 achieves the lowest values.

scholarly journals Performance Assessment Based on the Relative Efficiency of Indian Opencast Coal Mines Using Data Envelopment Analysis and Malmquist Productivity Index

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4902
Author(s):  
Biswaranjita Mahapatra ◽  
Chandan Bhar ◽  
Sandeep Mondal
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Primary Source ◽  
Efficiency Score ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Significant Difference ◽  
Using Data

Coal is the primary source of energy in India. Despite being the second-largest coal-producingcountry, there exists a significant difference in demand and production in India. In this study, the relativeefficiency of twenty-eight selected opencast mines from a large public sector undertaking coal companyin India for 2018–2019 was assessed and ranked by using data envelopment analysis (DEA). This studyused input-oriented DEA with efficiency decomposition to pure technical efficiency, technical efficiency,and scale efficiency. The result showed that 25% and 36% of mines were efficient in technical efficiencyand pure technical efficiency, respectively, whereas the eight mines scale efficiency was inefficient witha decreasing return to scale. Further, in this study, theMalmquist Productivity Index (MPI)was employedto measure the efficiency of the selected mines for three consecutive years (2016–2017 to 2018–2019).The result shows that in only three mines the efficiency is continuously improving from 2016–2017 to2018–2019, whereas in more than 20% of mines the efficiency score is decreasing. Comparing theMPIefficiency and productivity assessment throughout the years, changes in innovation and technology areincreasing from 2017–2018 to 2018–2019. Finally, the study concluded with a comprehensive evaluationof each variable with mines performance. The author formulated the strategies, which in turn help coalprofessionals to improve the efficiency of the mine.

Effects of cross-border acquisitions on efficiency and productivity of acquired companies: evidence from cement industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Slađana Savović ◽  
Predrag Mimović
Keyword(s):  
Data Envelopment Analysis ◽  
Transitional Economies ◽  
Cement Industry ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Content Type ◽  
Cross Border ◽  
Efficiency And Productivity ◽  
Practical Implications

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.

scholarly journals Measuring Efficiency of Public Hospitals in Iran: A Comparative Study Using Extended Data Envelopment Analysis, 2012-2016

2020 ◽  
Author(s):  
Efat Mohamadi ◽  
Amirhossein Takian ◽  
Alireza Olyaee Manesh ◽  
Reza Majdzadeh ◽  
Farhad Hosseinzadeh Lotfi ◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Public Hospitals ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Use Of Resources ◽  
District Hospitals ◽  
Geographical Regions ◽  
Efficiency And Productivity

Abstract Background: Aiming to enhance quality of care and increase efficiency, public hospitals have undergone several reforms in the course of last two decades in Iran. This paper reports the result of a national research that aimed to measure the technical efficiency and productivity change of public hospitals during 2012-2016 in Iran. Methods: We used Extended Data Envelopment Analysis (Extended-DEA) (an innovative modification to conventional DEA) to measure technical efficiency and productivity of 568 public hospitals. Nationally representative data were extracted from the official annual health reports. Data were analysed using GAMS software 24.3. Results: The average efficiency score of all hospitals was 0.733. 10.1% of all hospitals were efficient while 2.68% of them were under 0.2. The Malmquist Productivity Index (MPI) progressed in 49.3% of hospitals, remained constant in 2.3%, while 48.2% of hospitals regressed during 2015-2016. The average of MPI was 1.07 over the period of analysis. Conclusions: Extra efforts seem to be essential to enhance the efficient use of resources and develop appropriate policy solutions and tools. In particular, to increase the return to scale, we advocate the merger of small-size district hospitals towards establishing bigger efficient hospitals in various geographical regions across the country.

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