Perubahan Teknologi dan Efisiensi pada Organisasi Pengelola Zakat di Indonesia

Liquidity ◽  
2018 ◽  
Vol 7 (2) ◽  
pp. 124-136
Author(s):  
Aam Slamet Rusydiana
Keyword(s):  
Technological Change ◽  
Malmquist Index ◽  
Rate Of Change ◽  
Productivity Index ◽  
Productivity Level ◽  
Index Analysis ◽  
Period 2 ◽  
Index Measurement ◽  
Catch Up ◽  
Shift Effect

Zakah institution is the intermediary organizations based on social. Although based on social activities, but the management is still needs to uphold professional, accountability and transparency principles. This study attempts to analyze the productivity level of zakat organization in Indonesia, both in terms of changes of its efficiency, and also its technological. There are two things that are calculated in Malmquist index measurement that is catch-up effect and frontier shift effect. The catch-up effect measures the rate of change in relative efficiency from period 1 to period 2. Meanwhile the frontier shift effect measures the rate of technological change that is a combination of input and output from period 1 to period 2. The frontier shift effect is often called an innovation effect. Findings from the results of the productivity index analysis are very interesting. In general, there has been an increase in the level of productivity of zakat institutions in Indonesia in the period 2011 to 2016. The increase in productivity growth (1.116) of zakat institutions in Indonesia is generally caused by technological change (1.137) instead of changes in efficiency (0.982). Thus the service of zakat institutions is needed which is more innovative in relation to the development of technology in the future.

scholarly journals Technological and Efficiency Change on Zakat Organization: Evidence in Indonesia

2019 ◽  
Author(s):  
Aam Slamet Rusydian ◽  
Tika Widiastuti
Keyword(s):  
Technological Change ◽  
Malmquist Index ◽  
Rate Of Change ◽  
Productivity Index ◽  
Productivity Level ◽  
Index Analysis ◽  
Period 2 ◽  
Index Measurement ◽  
Catch Up ◽  
Shift Effect

Zakah institution is the intermediary organizations based on social. Although based on social activities, but the management is still needs to uphold professional, accountability and transparency principles. This study attempts to analyze the productivity level of zakat organization in Indonesia, both in terms of changes of its efficiency and also its technological. There are two things that are calculated in Malmquist index measurement that is catch-up effect and frontier shift effect. The catch-up effect measures the rate of change in relative efficiency from period 1 to period 2. Meanwhile the frontier shift effect measures the rate of technological change that is a combination of input and output from period 1 to period 2. The frontier shift effect is often called an innovation effect. Findings from the results of the productivity index analysis are very interesting. In general, there has been an increase in the level of productivity of zakat institutions in Indonesia in the period 2011 to 2016. The increase in productivity growth (1.013) of zakat institutions in Indonesia is generally caused by technological change (1.014) instead of changes in efficiency (0.999). Thus the service of zakat institutions is needed which is more innovative in relation to the development of technology in the future.  

scholarly journals Human Capital and Productivity Growth in ASEAN Countries for 2000-2010: A Malmquist Index Analysis

2019 ◽  
Vol 7 (4) ◽  
pp. 1-8
Author(s):  
Fang Zheng ◽  
Youngho Chang
Keyword(s):  
Human Capital ◽  
Productivity Growth ◽  
Malmquist Index ◽  
Productivity Change ◽  
Index Analysis ◽  
Technological Improvement ◽  
Efficiency Losses ◽  
Asean Countries

This study emphasizes a role of human capital in the measurement of productivity growth and highlights the importance of sample selections in analyzing productivity change of ASEAN countries, especially from 2000 to 2010. The productivity growth in ASEAN countries appears to deteriorate, mainly due to efficiency losses in the first half of the decade and the lack of technological improvement in the second half of the decade.

scholarly journals ADVANCEMENT AND SETBACK IN ISLAMIC BANKING PRODUCTIVITY IN ASEAN: DO TECHNOLOGICAL CHANGES MATTER?

2021 ◽  
Vol 7 (3) ◽  
Author(s):  
Aam Slamet Rusydiana ◽  
Aisyah Assalafiyah
Keyword(s):  
Malmquist Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Productivity Level ◽  
Islamic Bank ◽  
Brunei Darussalam ◽  
Level Increase ◽  
Asean Countries ◽  
Research Period

This study applies the Banker, Charnes and Cooper (BCC) model as a basic approach to the data envelopment analysis used to measure the level of productivity of 24 Islamic banks in four ASEAN countries (Indonesia, Malaysia, Brunei Darussalam and Thailand) over the 2010-2019 period. The Malmquist index was also employed, which is intended to accommodate improvements in efficiency, together with advancementsin technology. According to the Malmquist index scores on total factor productivity (TFP) change, 17 of the 24 Islamic banks (or 70.8 percent) achieved an improvement in productivity over the research period, with Thailand recording the highest productivity level increase. Overall, the most productive Islamic bank was Affin Islamic Bank Berhad. Finally, it was observed that there was a productivity growth in the last two years of the period, namely 2017-2018 and 2018-2019. The productivity change was driven more by efficiency than by technology, implying that Islamic banks in ASEAN countries must improve this aspect.

Calculation of regional agricultural production efficiency and empirical analysis of its influencing factors-based on DEA-CCR model and Tobit model

2021 ◽  
pp. 1-14
Author(s):  
Pengfei Zhou ◽  
Siyuan Yang ◽  
Xiaohang Wu ◽  
Yang Shen
Keyword(s):  
Empirical Analysis ◽  
Influencing Factors ◽  
Agricultural Production ◽  
Production Efficiency ◽  
Malmquist Index ◽  
Tobit Model ◽  
Annual Growth Rate ◽  
Productivity Level ◽  
Agricultural Modernization ◽  
Ccr Model

The improvement of agricultural production efficiency and the transformation of production mode are the core of promoting agricultural modernization. Taking Chongqing as a sample case, this paper uses DEA-CCR Model, Malmquist Index and Tobit Model to calculate and analyze its agricultural production efficiency and its influencing factors, and accurately identifies the problems existing in its agricultural transformation and development. It has an important policy reference value for improving agricultural innovation and competitiveness, promoting the steady development of rural revitalization, and realizing agricultural modernization, which also provides some reference and enlightenment for countries or regions with similar characteristics of mountain agriculture development in the world to enhance regional agricultural production efficiency. Through empirical analysis and investigation, it is found that the overall agricultural production efficiency of Chongqing remains at the productivity level of 0.8 from 2009 to 2018, with an average annual growth rate of 12.8%, but there is a large gap in the level of regional development. Through Malmquist Index decomposition, it is found that agricultural technology progress has the greatest contribution to the improvement of production efficiency. Financial support for agriculture, urbanization level, regional economic development level and highway mileage have a significant positive impact on production efficiency, while the level of farmers’ disposable income has a negative impact on the increase of production efficiency, and the income gap between urban and rural residents fails to pass the significance test.

scholarly journals Total Factor Productivity Growth of Indian General Insurance Companies in the Recent Period: A Bootstrapped Approach

2019 ◽  
Vol 11 (1-2) ◽  
pp. 59-80
Author(s):  
Ram Pratap Sinha
Keyword(s):  
Private Sector ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Malmquist Index ◽  
American Economic Review ◽  
Productivity Index ◽  
Insurance Companies ◽  
Productivity Change ◽  
Productivity Analysis ◽  
Factor Productivity

This study estimates Malmquist index of total factor productivity change of 14 major general insurers in India over the period 2009–10 to 2016–17 over 7 annual windows. The study decomposes total factor productivity index into its constituent components, using several approaches including Färe et al. (1989, Productivity Developments in Swedish Hospitals: A Malmquist Output Index Approach. Carbondale: Department of Economics, Southern Illinois University; 1992, Journal of Productivity Analysis 3(1): 85–101), Färe et al. (1994, American Economic Review 84(1): 66–83), Ray and Desli (1997, American Economic Review 87(5): 1033–39) and Wheelock and Wilson (1999, Journal of Money, Credit and Banking 31(2): 212–23). Furthermore, the study uses bootstrap data envelopment analysis (DEA) method to obtain bias-corrected point and interval estimates of Malmquist index and its components. Finally, the study makes a comparison of productivity performance between public and private sector insurers. The results indicate a modest growth in total factor productivity during the period contributed mainly by efficiency changes. The private sector insurers performed better than the public sector in terms of productivity growth. The variations in productivity performance indicate that insurer scale of activity can affect their performance. JEL Classification: G-23, C-61, D-21

scholarly journals ANALYSIS OF SUSTAINABILITY INDEX USAHATANI CABAI IN BANGLI REGENCY

2018 ◽  
pp. 99
Author(s):  
I Nyoman Gede Ustriyana ◽  
Ni Wayan Putu Artini
Keyword(s):  
Sustainable Development ◽  
Agricultural Development ◽  
Composite Index ◽  
Sustainability Index ◽  
A Value ◽  
Index Analysis ◽  
Index Measurement ◽  
Calculation Results ◽  
Index Calculation ◽  
Structured Questionnaire

There are many experts who disagree on the meaning of the concept of sustainable development. Nevertheless sustainable agriculture has been known to be one of important factor in realizing sustainable development. It is therefore very relevant to conduct a research in order to measure the sustainability of agricultural development through sustainability index measurement. In this study analyzed thesustainability is using composite index calculation method. Methods of data collection was conducted through interviews using structured questionnaire survey conducted to total of 60 respondent of chili farmers in Bangli Regency. The calculation results of the sustainability index of 30 variables obtained shows that only 1 variables were categorized as “high”, 20 variables were in “medium” categoryand 9 variables were in “low” category. From the results obstained the composite index analysis showed a combined index categorized as “medium” with a value of 0.47.

scholarly journals Research on Green Productivity of Chinese Real Estate Companies—Based on SBM-DEA and TOBIT Models

2020 ◽  
Vol 12 (8) ◽  
pp. 3122
Author(s):  
Zhao Yang ◽  
Hong Fang
Keyword(s):  
Real Estate ◽  
Information Disclosure ◽  
Negative Impact ◽  
Malmquist Index ◽  
High Energy ◽  
Energy Utilization ◽  
Productivity Index ◽  
Utilization Rate ◽  
Green Innovation ◽  
Green Productivity

Apart from promoting social-economic development and increasing social employment, the real estate industry in China has also brought up problems such as high energy consumption and high emissions. Scholars now focus more on energy conservation, emission reduction and sustainable development of real estate companies in their current research. The data used by this paper are three-year panel data from 2015 to 2018, with observations from 15 representative real estate companies. CO2 and green credit index are introduced as the undesirable output and the green output of real estate companies respectively. First, with the DEA model and the Malmquist index model, this paper evaluates the green productivity of real estate companies statically and dynamically. The Tobit model is then employed by the author to analyze factors that may affect green productivity. Our results indicate that (1) the green productivities of 15 Chinese real estate companies have improved by various degrees. The average green productivity rises from 0.701 in 2015 to 0.849 in 2018, indicating that the energy utilization rate of enterprises has gradually increased. From the calculation and decomposition of the Malmquist total factor productivity index, we know that technological progress is vital in improving the green productivity of real estate companies. (2) As for the influencing factors, the green productivity is positively related to factors such as policy compliance indicator P, environmental responsibility commitment indicator R, indicator of green innovation capability I, and indicator of green development information disclosure M. The asset-liability ratio on the contrary has a negative impact on green productivity. It’s worth to point out that the green innovation index and green productivity is significantly correlated and the correlation coefficient can be up to 0.636, which implies that the key to improving green productivity is to increase research and development investment.

Technological Change and Innovations in Microfinance Institutions: What Matters?

2020 ◽  
pp. 097215092092736
Author(s):  
Md Aslam Mia
Keyword(s):  
Technological Change ◽  
Financial Services ◽  
Technological Progress ◽  
Service Providers ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Institutional Characteristics ◽  
Microfinance Institutions ◽  
Macroeconomic Factors ◽  
Second Stage

Usage of technology that serves to improve organizational efficiency among financial service providers has substantially increased during the past decade. Similarly, a large number of microfinance institutions (MFIs) have incorporated technological innovation in their operations to provide clients with better financial services. To understand the determinants of technological change in MFIs, this study investigated various factors, including sources of funds, institutional characteristics (IC) and macroeconomic factors. Using longitudinal data (2009–2014) from the microfinance industry in Bangladesh, this study estimated the Malmquist Productivity Index (non-parametric) to decompose the technological change at the first stage. This index was then used as a dependent variable in the second stage to regress against certain independent variables. Overall, it was found that the microfinance industry in Bangladesh observed regression in technological change; however, technological change could be improved by promoting peer borrowing among MFIs. Apart from that, greater autonomy through decentralization of MFI branches could also stimulate technological progress. Interestingly, MFIs located in Dhaka have experienced better technological progress than MFIs located in other parts of the country, which signifies the importance of location. Additionally, the findings also revealed a gap in transfer of technological knowledge from commercial banks to the MFIs that they fund.

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