scholarly journals Dynamic Evaluation and Internal Driving Factors of Water Resources Green Efficiency in China

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2360
Author(s):  
Hongbo Zhang ◽  
Hong Chen ◽  
Meifen Wu ◽  
Wei Jin ◽  
Guangxiong Mao ◽  
...  
Keyword(s):  
Economic Development ◽  
Water Resources ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Technology Change ◽  
Efficiency Change ◽  
Ecological Civilization ◽  
Index Model ◽  
Efficiency Decomposition ◽  
Productivity Index Model

High-quality economic development and the realization of ecological civilization have become the main goals of China’s economic development. This study constructed a global reference Malmquist–Luenberger productivity index model of directional distance function from the perspective of mixed disposability and divided water resources green efficiency into pure technical efficiency change (PEC) index, scale efficiency change (SEC) index, pure technology change (PTC) index and scale technology change (STC) index. The results show the following: (1) The value of China’s water resources green efficiency increased by 1.1% from 2000 to 2016. The central region improved the most (1.4%), followed by the western (1%) and eastern (0.9%) regions. The water resources green efficiency improved in all provinces except Guangxi and Yunnan. (2) The water resources green efficiency is significantly affected by national policies, and there may not be a significant positive correlation with economic development. At present, the water resources green efficiency in most provinces still needs to be improved. (3) From 2000 to 2016, China’s water resources green efficiency decomposition index showed an upward trend except for SEC, and PTC was the main driving force for improving China’s water resources green efficiency. (4) The variation of PEC among provinces showed an inverted “N” trend, while the differences of SEC and STC showed an ascending trend, and PTC showed an inverted “U” trend. The proportions of provinces in which PEC, SEC, and STC indices improved were 40%, 46.67%, and 60%, respectively.

Efficiency and productivity performance of zakat funds in Algeria

2018 ◽  
Vol 11 (3) ◽  
pp. 474-494 ◽  
Author(s):  
Chams-Eddine Djaghballou ◽  
Mohamed Djaghballou ◽  
Mousa Larbani ◽  
Azhar Mohamad
Keyword(s):  
Design Methodology ◽  
Operating Performance ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Efficiency Change ◽  
Output Data ◽  
Content Type ◽  
Efficiency And Productivity

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.

Efficiency, productivity and Islamic banks: an application of DEA and Malmquist index

Humanomics ◽  
2015 ◽  
Vol 31 (1) ◽  
pp. 118-131 ◽  
Author(s):  
Muhammad Abbas ◽  
Rayan S Hammad ◽  
Mohamed Fathy Elshahat ◽  
Toseef Azid
Keyword(s):  
Malmquist Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Islamic Banks ◽  
Efficiency Change ◽  
Lower Growth ◽  
Content Type ◽  
Future Policy ◽  
Conventional Banks

Purpose – This paper aims to compute the Malmquist Index of Islamic and conventional banks to compare their performance in the sample period of 2005-2009. Islamic banks have been showing tremendous growth throughout the world in recent past. Their progress is exceptional in Islamic countries on account of patronization for religious reasons. There existed vacuum in research of their productivity change over the years. Design/methodology/approach – This study tries to apply the Malmquist Index. The Malmquist Total Factor Productivity Index has been further divided into Efficiency Change Index, Technological Change Index, Pure Efficiency Change Index and Scale Efficiency Change Index to obtain an insight about the reasons for the change in productivity. Findings – Results indicate that the productivity of Islamic banks decreased in 2007 but it increased in 2008 to 2009. Islamic banks had higher productivity growth from 2005 to 2006, but they experienced lower growth in subsequent years as compared to their conventional counterparts. Research limitations/implications – Data were not available before 2005 in Pakistan. Practical implications – This study is helpful for the investors and bankers for formulating the future policy. Social implications – This study also provides a guideline for establishing the ethical financial institutions. Originality/value – This is an original attempt.

Productivity Analysis of Coal-fired Thermal Power Plants in India Using Malmquist Index Approach

2019 ◽  
Vol 21 (6) ◽  
pp. 1338-1353
Author(s):  
Amritpal Singh Dhillon ◽  
Hardik Vachharajani
Keyword(s):  
Total Factor Productivity ◽  
Power Plants ◽  
Thermal Power ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Tfp Growth

The sustainable socio-economic growth of any country depends on the availability of adequate and reliable power at reasonable rates. This is even true in case of a rapidly developing country like India where coal-based power plants account for the majority of electricity generation. Making use of data envelopment analysis (DEA) and Malmquist productivity index (MPI), this study analyses the productivity change of coal-fired power plants during 2002–2012. Productivity change is further decomposed into technical efficiency change (EFFCH), technological change (TECHCH), scale efficiency change (SECH), pure technical change (PECH) and total factor productivity change (TFPCH). The study revealed that 0.70 per cent of average annual total factor productivity (TFP) growth was witnessed from 2002–2003 to 2011–2012 indicating overall progress. The contribution of TECHCH in TFP growth is positive, that is, 1.3 per cent per annum. It demonstrates that expansion of the efficient frontier. However, there was a decrease in technical EFFCH of −0.6 per cent per year, indicating the adverse sign of progress. Plants in the central sector achieved maximum growth of 4.6 per cent annually. A total of 54.05 per cent of plants have recorded negative TFP growth. Power plants between 500 and 999 MW achieved the highest operational performances in all indices except SECH.

scholarly journals Spatiotemporal Dynamics of Ecological Total-Factor Energy Efficiency and Their Drivers in China at the Prefecture Level

2019 ◽  
Vol 16 (18) ◽  
pp. 3480
Author(s):  
Li
Keyword(s):  
Growth Rate ◽  
Energy Efficiency ◽  
Spillover Effects ◽  
Policy Implications ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Efficiency Change ◽  
Energy Productivity ◽  
Important Means ◽  
Convergence Trend

Improvement of ecological total-factor energy efficiency (ETFEE) is crucial for transformation of China’s economic growth pattern, energy conservation and emissions abatement. Here we combined the epsilon-based measure (EBM) and the Global Malmquist-Luenberger (GML) productivity index to evaluate ETFEE and ecological total-factor energy productivity (ETFEP) and its decompositions for 283 prefecture-level cities in China between 2003 and 2013. A spatial econometric model is used to investigate factors influencing ETFEE and ETFEP. Results indicated that ETFEE, ETFEP and corresponding trends differ significantly depending on whether environmental constraints are considered. No convergence trend was found in ETFEE between prefecture-level cities. Technical progress plays the largest role in increasing ETFEP growth. Pure efficiency change and scale efficiency change, however, are the main hindering factors. Boosting cumulative technological progress, cumulative scale efficiency growth rate and cumulative pure efficiency growth rate are important means of increasing ETFEP. I also found that areas with high levels of economic development do not completely overlap with areas of high ETFEE. Surprisingly, the fiscal expenditure on scientific undertakings and technological spillover effects from foreign direct investment (FDI) have not substantially increased ETFEE. Whereas increased industrialization hinders the improvement of ETFEE. Furthermore, reducing per capita energy consumption help boost ETFEE. In addition, endowment advantages of factors of production have a positive overall effect on improving ETFEE. Lastly, important policy implications are inferred.

scholarly journals ANALISIS TINGKAT EFISIENSI SEKTOR PARIWISATA DI JAWA TENGAH TAHUN 2017 DAN 2019

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Yennie Glorya Panjaitan ◽  
Edy Yusuf Agung Gunanto
Keyword(s):  
Data Envelopment Analysis ◽  
Total Factor Productivity ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Efficiency Change

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.

scholarly journals Measurement of Total Factor Productivity in Commercial Airlines Sector using Malmquist Index and Data Envelopment Model

2020 ◽  
Vol 8 (6) ◽  
pp. 2168-2173
Keyword(s):  
Panel Data ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Year 2013

This study attempts to measure productivity change of Airlines companies in private and public sector in India for a period of four years (2011-2016). In this study the nature and productivity change is probed using the Malmquist Productivity Index. This index has the constituents which are used to measure the performance in terms of change in Scale Efficiency, change in Technical Efficiency, change in Technological Change and Total Factor Productivity. The paper compares efficiencies for the companies in public and private commercial airlines sector in India. Five Airlines companies are included in the study. The research includes Total Annual Income as an output variable and Total Expenditure, Employee Compensation, Sales & Distribution Expenditure and Marketing expenses as Input variables. A panel data with 30 observations has been used for analysis. The panel data is used to arrive to MPI estimates, with a total of five commercial airlines companies in India. The Total Factor Productivity change in the airlines sector depends upon the change in the efficiency and productivity of the companies. From the study it is evident that the Total Factor Productivity change has not changed significantly over the last six years for all the companies under study. The Technical Efficiency was the highest in the year 2013-14 which then dropped in the subsequent year. The Total Factor Productivity change is mainly due to change in scale efficiency of the companies since the pure efficiency has shown no significant change during the period under study. The Total Factor Efficiency dropped by almost 50% in the case of Air India in the year 2015-16. This drop is attributed to the deterioration in the technical efficiency of the company. The overall Total Factor Productivity of Air India is the highest. This can be attributed to positive change in the company’s Technical Efficiency especially in the year 2013-14. It is evident that all the airlines companies under study have not emphasized on improving scale efficiency as well as pure efficiency. These companies can improve their overall productivity by bringing in efficiency in the scale of operations as well as focus on improving efficiency on factors other than scale of operations. The commercial airlines companies in India need to improve their scale efficiency and pure efficiency to improve their total factor productivity.

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