scholarly journals Productivity change in Lithuanian family farms with the sequential technology

2014 ◽  
Vol 36 (2) ◽  
pp. 207-222
Author(s):  
Tomas Baležentis
Keyword(s):  
Returns To Scale ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Family Farms ◽  
Efficiency Change ◽  
Tfp Growth ◽  
Farm Accountancy Data Network ◽  
Variable Returns To Scale ◽  
Decision Making Units

The sequential Malmquist-Luenberger productivity index was employed to assess the sources of changes in the total factor productivity in Lithuanian family farms. The research sample encompasses 200 family farms reporting to the Farm Accountancy data Network. The sequential Malmquist-Luenberger index was decomposed by taking into account scale efficiency change and variable returns to scale technology. The obtained efficiency scores suggest that years 2006 and 2009 were those of the most inefficient farming activity. Analysis of the scale efficiency scores suggested that the mixed farming should expand its operation scale in order to maintain the economic viability and competitiveness. The sequential Malmquist-Luenberger productivity index suggested that the TFP had decreased by some 2.9% throughout 2004–2009. The technical change component stagnated in 2009, yet remained the most important factor of TFP growth accounting for increase of some 14% during 2004–2009. The decreasing pure technical efficiency, however, reduced the TFP by 16%. The scale efficiency change did not play an important role. Innovative decision making units – family farms – were identified in terms of distance function and productivity index values.

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 Application of Window Malmquist Index for Examination of Efficiency Change of Czech Commercial Banks

2017 ◽  
Vol 8 (3) ◽  
pp. 173-190
Author(s):  
Iveta Palecková
Keyword(s):  
Commercial Banks ◽  
Returns To Scale ◽  
Malmquist Index ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Efficiency Change ◽  
Average Efficiency ◽  
Index Approach ◽  
Constant Returns To Scale ◽  
Variable Returns To Scale

Abstract The aim of the paper is to apply the Window Malmquist index approach to examine the efficiency change of Czech commercial banks within the period 2004-2013. We used the Data Envelopment Analysis and theWindow Malmquist index approaches to estimate the efficiency change of Czech commercial banks. The average efficiency computed under the assumption of constant returns to scale was 73% and under the assumption of variable returns to scale the value was 83%. We estimated the average positive efficiency growth of Czech commercial banks during the period 2004-2013. We found that average scale efficiency was 88%, which means that Czech commercial banks were of an inappropriate size, especially the largest banks.

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.

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.

scholarly journals Structural efficiency in Lithuanian family farms

2015 ◽  
Vol 37 (4) ◽  
pp. 462-479
Author(s):  
Tomas Baležentis
Keyword(s):  
Returns To Scale ◽  
Scale Efficiency ◽  
Family Farms ◽  
Technical Inefficiency ◽  
Structural Efficiency ◽  
Scale Size ◽  
Level Data ◽  
Farm Accountancy Data Network ◽  
Most Productive Scale Size ◽  
Research Period

Along with firm-specific technical inefficiency, sector-specific structural inefficiency might induce losses in productivity. This paper therefore aims to identify the trends in structural efficiency in Lithuanian family farms. Specifically, the four farming types are considered, namely cereal farming, field cropping, dairying, and mixed farming. Farm-level data from Farm Accountancy Data Network are used for the analysis. The research period spans over the years 2004–2011. The trends in technical and scale efficiency are presented. Furthermore, the prevailing returns to scale are discussed thus offering insights into the most productive scale size and deviations from it in Lithuanian family farms. Finally, the dynamics in structural efficiency are discussed. The results indicate that the aggregate output of certain farming types could be augmented by some 20–25% due to reallocation of inputs among farms. Anyway, technical inefficiency remains the major driver of structural inefficiency.

scholarly journals Productivity change and its driving forces in Chinese healthcare sector

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243460
Author(s):  
Zhensheng Chen ◽  
Xueli Chen ◽  
Tomas Baležentis ◽  
Xiaoqing Gan ◽  
Vivian Valdmanis
Keyword(s):  
Institutional Environment ◽  
Driving Forces ◽  
Public Hospitals ◽  
Healthcare Sector ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Efficiency Change ◽  
Medical Reform ◽  
Tfp Growth ◽  
Demand For Health

Since the last medical reform in 2009, China’s public hospitals have been facing the changes in the institutional environment. However, the effects of reforms have not been received enough attention to deliver evidence-based implications. In this paper, we first assess the efficiency of regional public hospitals from 2011 to 2018, employing a proposed method based on an additive indicator and an aggregate directional distance function (DDF). The method applied allows for decomposing total factor productivity (TFP) indicator into three components, including technical efficiency change (TEC), total productivity (TP) and scale efficiency change (SEC). Second, following the efficiency assessment, we carry post-efficiency analysis to identify the determinants of efficiency of the public hospitals. The results show that annual average TFP growth rate is 1.38%, which is driven mainly by TEC. Regional disparities of public hospitals’ performance are expanding. Almost 75% of the regions considered show a positive TFP growth. The regression results show that the significant determinants of efficiency of regional public hospitals include the price of and demand for health services.

scholarly journals Μέτρηση της αποδοτικότητας και της παραγωγικότητας των δήμων σε ηλεκτρονικό περιβάλλον

2020 ◽  
Author(s):  
Ιφιγένεια-Δήμητρα Πουγκακιώτη
Keyword(s):  
Data Envelopment Analysis ◽  
Returns To Scale ◽  
Least Square ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Ordinary Least Square ◽  
Variable Returns To Scale

Αντικείμενο της παρούσας διατριβής αποτελεί η μέτρηση της σχετικής αποδοτικότητας και της μεταβολής της παραγωγικότητας, των Οργανισμών Τοπικής Αυτοδιοίκησης (Ο.Τ.Α.) α΄ βαθμού των Περιφερειών Θεσσαλίας και Στερεάς Ελλάδας κατά τα έτη 2012 - 2016. Στόχος της είναι η αξιολόγηση του συστήματος της Τοπικής Αυτοδιοίκησης της Ελλάδας ως προς την σχετική αποδοτικότητα και την μεταβολή της παραγωγικότητας τους. Επιπροσθέτως εκτιμά την επίδραση των περιβαλλοντικών μεταβλητών στις τιμές της αποδοτικότητας. Η μέτρηση γίνεται με τις μεθόδους Περιβάλλουσα Ανάλυση Δεδομένων [Data Envelopment Analysis (D.E.A.)], Μέθοδος Ελαχίστων Τετραγώνων [Ordinary Least Square (O.L.S.)], Tobit και Malmquist, και με προσανατολισμό τόσο ως προς τις εισροές όσο και ως προς τις εκροές. Ειδικότερα, αξιολογούνται πενήντα Ο.Τ.Α. για τα έτη 2012 - 2016 με τρεις εισροές (συνολικές ετήσιες δαπάνες ανά κάτοικο, συνολικός αριθμός των εργαζομένων ανά κάτοικο, και αριθμός των οχημάτων ανά κάτοικο) και τέσσερις εκροές (αριθμός των εγγεγραμμένων μαθητών ανά κάτοικο σε δομές προσχολικής/ πρωτοβάθμιας / δευτεροβάθμιας εκπαίδευσης των Δήμων, συνολική ποσότητα των σύμμεικτων απορριμμάτων ανά κάτοικο, που οδηγούνται προς υγειονομική ταφή (Χ.Υ.Τ.Α.) ή προς ανεξέλεγκτη διάθεση (Χ.Α.Δ.Α.), αριθμός των σχολικών δομών της προσχολικής/ πρωτοβάθμιας / δευτεροβάθμιας εκπαίδευσης ανά κάτοικο και αριθμός των ωφελούμενων δημοτών από προνοιακά επιδόματα ανά κάτοικο). Ο σκοπός της εν λόγω διατριβής είναι να διερευνήσει τα ερωτήματα που τίθενται παρακάτω: I. Είναι η μέτρηση της σχετικής αποδοτικότητας και της μεταβολής της παραγωγικότητας των δήμων στις δύο Περιφέρειες (Θεσσαλίας και Στερεάς Ελλάδας) ιδιαίτερα σημαντική για την περίοδο 2012-2016; Είναι η επίδοση των ελληνικών δήμων γύρω από το μέσο επίπεδο των επιδόσεων άλλων χωρών και ιδιαίτερα εκείνων της Ευρωπαϊκής Ένωσης; II.Οι επιδόσεις των δήμων βελτιώθηκαν κατά την περίοδο 2012-2016; III.Η αξιολόγηση των δήμων βάσει κριτηρίων αποδοτικότητας και παραγωγικότητας και ο προσδιορισμός των δήμων που αποτελούν δείκτες αναφοράς, συμβάλλουν στη χάραξη πολιτικής; IV.Είναι η μεταβολή της αποδοτικότητας και της παραγωγικότητας των σχετικά μεγάλων δήμων συγκριτικά υψηλότερη από εκείνη των σχετικά μικρών δήμων; V.Υπάρχουν περιβαλλοντικές μεταβλητές που επηρεάζουν την αποδοτικότητα;Από όσο γνωρίζουμε, αυτή είναι η πρώτη μελέτη που απαντά σε αυτές τις ερωτήσεις. Τα κύρια ευρήματα της έρευνας σε σχέση με την αποδοτικότητα δείχνουν ότι υπάρχουν περιθώρια αύξησης της αποδοτικότητας σε αρκετούς Ο.Τ.Α. Ειδικότερα : i. Οι μέσες τιμές τεχνικής αποδοτικότητας υπό μεταβλητές και σταθερές αποδόσεις κλίμακας, η αποδοτικότητα κλίμακας και η μεταβολή της συνολικής παραγωγικότητας των δήμων είναι σύμφωνες με τα αποτελέσματα των δήμων των ευρωπαϊκών και μη χωρών. ii. Κατά τη διάρκεια των πέντε εξεταζόμενων ετών, σημειώθηκε σταδιακή βελτίωση (κατά έτος) της μέσης αποδοτικότητας και παραγωγικότητας των δήμων. iii. Οι καλύτερες επιδόσεις (αποδοτικότητα> μέση Variable Returns to Scale Efficiency (VRSTE), παραγωγικότητα> μέσηTotal Factor Productivity Change (TFPCH)) έχουν 16 από τους 50 δήμους (με προσανατολισμό στις εισροές) και 17 από τους 50 δήμους (με προσανατολισμό στις εκροές) και μπορούν να αποτελέσουν σημεία αναφοράς για τους άλλους δήμους. Οι υπόλοιποι θα πρέπει να προσπαθήσουν να μάθουν από τις βέλτιστες πρακτικές για να βελτιώσουν τις δικές τους επιδόσεις. Αυτό είναι πρωταρχικό για την καλύτερη χρήση των περιορισμένων δημόσιων πόρων στο πλαίσιο της στρατηγικής κατεύθυνσης της Ευρωπαϊκής Ένωσης για τη βελτιστοποίηση της χρήσης των πόρων. iv. Οι σχετικά μεγάλοι δήμοι με δημογραφικά κριτήρια έχουν συγκριτικά καλύτερες επιδόσεις κατά μέσο όρο από τους σχετικά μικρούς. v. Οι περιβαλλοντικές μεταβλητές, (η πυκνότητα του πληθυσμού και ο τύπος του δήμου, και η απόσταση από την έδρα της Περιφέρειας) ανάλογα με τη μέθοδο εκτίμησης, έχουν στατιστικά σημαντική θετική επίδραση στην αποδοτικότητα του δήμου. vi. Οι Δήμοι της Θεσσαλίας έχουν κατά μέσο όρο καλύτερες επιδόσεις από τους δήμους της Στερεάς Ελλάδας. Στην πραγματικότητα, η ανάλυση των λόγων επίτευξης χαμηλών επιπέδων αποδοτικότητας και παραγωγικότητας βοηθά στην περαιτέρω αναγνώριση της αναποτελεσματικής λειτουργίας της Τοπικής Αυτοδιοίκησης και μπορεί να στηρίξει αποτελεσματικά μέτρα πολιτικής. Οι προτάσεις μας, περιελάμβαναν την αύξηση των μεγεθών των δήμων μέσω συγχωνεύσεων ή την αύξηση της εθελοντικής συνεργασίας των δήμων για να καταστούν πιο αποτελεσματικοί. Οι υπεύθυνοι λήψης αποφάσεων τόσο σε επίπεδο δήμων όσο και σε επίπεδο κεντρικής κυβέρνησης, θα ήταν καλό να συμβάλλουν στον εξορθολογισμό εάν αξιοποιήσουν σωστά τα ευρύματα. Τα κατάλληλα μέτρα πολιτικής θα οδηγήσουν σε βελτίωση των επιδόσεων όλων των δήμων και ιδιαίτερα εκείνων με χαμηλές επιδόσεις.

scholarly journals Measuring the Productivity of Energy Consumption of Major Industries in China: A DEA-Based Method

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Xishuang Han ◽  
Xiaolong Xue ◽  
Jiaoju Ge ◽  
Hengqin Wu ◽  
Chang Su
Keyword(s):  
Decision Making ◽  
Energy Consumption ◽  
Data Envelopment Analysis ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Policy Makers ◽  
Time Periods ◽  
Decision Making Units

Data envelopment analysis can be applied to measure the productivity of multiple input and output decision-making units. In addition, the data envelopment analysis-based Malmquist productivity index can be used as a tool for measuring the productivity change during different time periods. In this paper, we use an input-oriented model to measure the energy consumption productivity change from 1999 to 2008 of fourteen industry sectors in China as decision-making units. The results show that there are only four sectors that experienced effective energy consumption throughout the whole reference period. It also shows that these sectors always lie on the efficiency frontier of energy consumption as benchmarks. The other ten sectors experienced inefficiency in some two-year time periods and the productivity changes were not steady. The data envelopment analysis-based Malmquist productivity index provides a good way to measure the energy consumption and can give China's policy makers the information to promote their strategy of sustainable development.

scholarly journals Does Access to Modern Marketing Channels Improve Dairy Enterprises’ Efficiency? A Case Study of Punjab, Pakistan

1998 ◽  
Vol 17 (1) ◽  
pp. 63-82
Author(s):  
Sana Sadaf ◽  
Khalid Riaz
Keyword(s):  
Returns To Scale ◽  
Marketing Channels ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Land Area ◽  
Fresh Milk ◽  
The Mean ◽  
Using Data ◽  
Variable Returns To Scale

The main objective of this study is to investigate how access to modern marketing channels impacts the efficiency of dairy enterprises. Using data on dairy farms in central Punjab (Sargodha), we carry out a nonparametric data envelopment analysis to measure their technical and scale efficiencies. The results show that, for the sample dairy enterprises, the mean technical efficiency under variable returns to scale was 0.89 while scale efficiency was 0.94. The results of a follow-on regression analysis support the hypothesis that the access to modern marketing channels, where payment for fresh milk is based on measured milk quality (fat content), improved efficiency. We find that efficiency is positively affected by the size of dairy operations, and negatively by the size of operational land area. Moreover, dairy enterprises with smaller herds tend to operate at a suboptimal scale, possibly due to credit and/or land constraints.

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