scholarly journals Productivity of Estonian dairy farms decline after the accession to the European Union

2011 ◽  
Vol 57 (No. 9) ◽  
pp. 457-463 ◽  
Author(s):  
N. Vasiliev ◽  
E. Suuster ◽  
H. Luik ◽  
R. Värnik ◽  
E. Matveev ◽  
...  
Keyword(s):  
European Union ◽  
Dairy Farms ◽  
Efficiency Score ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Annual Growth Rate ◽  
The European Union ◽  
Efficiency Change ◽  
Significant Deterioration

The aim of the study was to analyze the productivity change of Estonian dairy farms before and after the accession to the European Union. The Malmquist productivity index was measured and separated into the technical and efficiency change using the data envelopment analysis for the pre-accession period (years 2001–2003) and the post-accession period (2004–2006). Second-stage regression was applied to estimate the possible variables determining the productivity and efficiency change. Productivity growth of Estonian dairy farms was negative for both observed periods; the mean annual growth rate of the Malmquist productivity index was –0.7% in 2001–2003 and –2.6% in 2004–2006. The share of farms with declining productivity increased from 36% to 50% after the accession to the EU and is induced mainly by a significant deterioration in the efficiency change. Remarkable changes in the line-up of most efficient dairy farms occurred between 2000 and 2006, producers with greater initial efficiency have experienced significant regress, with efficiency score decreasing from 0.842 in 2000 to 0.608 in 2006 and the new front-runners, forming the efficiency frontier, have emerged. Capitalization was positively related with the cumulative technical change. Nevertheless, increasing investments and assets have not affected efficiency change and investments have often not been harnessed in the best possible way.  

COVID-19 and Hotel Productivity Changes: An Empirical Analysis Using Malmquist Productivity Index

2021 ◽  
Author(s):  
Changhee Kim ◽  
Hee Jay Kang ◽  
Kyunghwa Chung ◽  
Kanghwa Choi
Keyword(s):  
Empirical Evidence ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Organizational Level ◽  
Productivity Change ◽  
Efficiency Change ◽  
Technological Advances ◽  
Productivity Management ◽  
Pay Cuts ◽  
The Impact

This research investigates the impact of COVID-19 on hotel productivity change using the Malmquist Productivity Index (MPI). For 26 U.S. hotel brands, productivity changes over 10 quarters from the first quarter of 2018 to the second quarter of 2020 were analyzed. After the COVID-19 outbreak, the investigated hotels’ productivity deteriorated. Decomposition revealed that, whereas technical efficiency change (EC) improved, technological change (TC) regressed, resulting in deterioration of the MPI. The investigated hotels’ EC-related practices included enhanced cleaning operations, partnering with a hygiene brand, cutting the workforce, and pay cuts. Practices related to TC included the adoption of new hygiene technology and setting a new standard at the organizational level through the formation of a global council and accreditation related to disinfection and hygiene. Our results show that though U.S. hotels are trying to improve their productivity by efficiently utilizing resources, frontier technology’s regress is decreasing productivity. Our results support the importance of investment in technology for productivity management. This research provides empirical evidence for the need for hotels to pursue technological advances to overcome the pandemic.

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 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 Bank Branch Closure Assessment Using DEA

JEJAK ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 134-145
Author(s):  
Renata Parsaulian ◽  
Dony Abdul Chalid
Keyword(s):  
Efficiency Score ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Bank Branch ◽  
The One ◽  
Branch Office ◽  
Efficiency And Productivity

The downward trend in the number of commercial bank offices is driven by the bank's efforts to shift banking transactions from physical branch to digital channels in order to improve efficiency. In prioritizing the branch closure, bank needs to define the appropriate method used in the analysis. This case study is intended to identify the parameter to determine the prioritization of bank branch office closure. This study uses a non-parametric approach of Data Envelopment Analysis (DEA) to examine the efficiency and productivity change of branch offices at one of the large bank in Indonesia. The one-stage DEA was used to generate the relative efficiency score, and the input-oriented Variable Return to Scale (VRS) assumption is adopted in data analysis based on the production approach. The Malmquist Productivity Index was also adopted to measure the total factor productivity change. The DEA result shows that a number of closed branches in 2019 and 2020 were actually considered efficient, with increasing productivity, compared to many other inefficient branches. The efficiency and productivity score can be further used by the bank’s management to evaluate the upcoming branch closure as well as the overall branches efficiency.

Postcrisis REIT performance using financial ratios: A DEA approach

2020 ◽  
pp. 135481662096266
Author(s):  
Apostolos Ampountolas
Keyword(s):  
Financial Ratios ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Moderate Degree ◽  
Efficiency Change ◽  
Real Estate Investment ◽  
Operational Strategies ◽  
Performance Determinants

This study examines the performance of public lodging real estate investment trusts (REITs) following the financial crisis period from 2013 to 2017. We employed data envelopment analysis, a nonparametric technique based on linear programming, to measure performance. Determinants of efficiency were assessed by a set of financial ratios predicting each REIT’s efficiency against its peers. Consequently, a Malmquist productivity index (MPI) evaluated the efficiency change in several periods. The empirical results revealed that the REITs generally performed well despite the moderate degree of volatility in the financial ratios. Results showed a wide variation in performance consistency, with a limited number of REITs—that is, 5 out of 20—consistently performing well during the study period. Additionally, the MPI indicated a decline in efficiency, while the productivity change showed a mixture of reflections. The decomposition components of the productivity index and efficiency changes are also provided. This study sheds light on understanding inefficient REITs and provides some guidance on the critical indicators that would help such REITs restructure their operational strategies to improve efficiency.

scholarly journals Productivity growth in the winery sector: evidence from Italy and Spain

2016 ◽  
Vol 28 (1) ◽  
pp. 59-75 ◽  
Author(s):  
Ricardo Sellers-Rubio ◽  
Veronica Alampi Sottini ◽  
Silvio Menghini
Keyword(s):  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Efficiency Change ◽  
Content Type ◽  
Annual Productivity ◽  
Total Productivity ◽  
Low Efficiency ◽  
First Time ◽  
Practical Implications

Purpose – The purpose of this paper is to estimate total productivity change in the winery sector, decomposing it into efficiency change and technical change. Design/methodology/approach – The methodology is based on the estimation of the Malmquist productivity index for a sample of Spanish and Italian wineries between 2005 and 2013. Findings – The results show very low efficiency levels for the wineries under study. Further, Spanish and Italian wineries show a decrease in their average annual productivity for the period of time analysed. Practical implications – The analysis of the efficiency and the productivity of the wineries is crucial to improve their competitiveness and guarantee their survival. Originality/value – For the first time, a comparative analysis is carried out with data from two major wine-producing countries.

scholarly journals Malmquist Indexes of Productivity Change in Tunisian Manufacturing Industries

2020 ◽  
Vol 12 (4) ◽  
pp. 1367
Author(s):  
Houyem Zrelli ◽  
Abdullah H. Alsharif ◽  
Iskander Tlili
Keyword(s):  
Productivity Growth ◽  
Manufacturing Industries ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Index Method ◽  
Average Growth ◽  
Malmquist Indexes

This research aims to investigate the extent and nature of productivity growth in manufacturing industries using nonparametric frontier techniques. In order to decompose the total factor productivity (TFP) into technical efficiency change and technological change we use the output-oriented Malmquist productivity index method for 34 Tunisian manufacturing industries over the period 2002–2016. The results indicated that TFP has witnessed an average growth of two percent over the period 2002–2016. The productivity growth identified was attributed to the improvements in the technology (or frontier-shift) rather than improvements or changes in the efficiency.

scholarly journals Bank Productivity And Sources Of Efficiency Change: A Case Of The Four Largest Banks In South Africa

2013 ◽  
Vol 12 (2) ◽  
pp. 127
Author(s):  
Gerhardus Van der Westhuizen
Keyword(s):  
South Africa ◽  
Technological Change ◽  
South African ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Factor Productivity ◽  
Efficiency Change

The Malmquist productivity index was utilised to estimate the total factor productivity and productivity change of the four largest banks in South Africa for the period 1994 to 2010. Total factor productivity change can be decomposed into efficiency change and technological change, which allow for determining the sources of total factor productivity change. Various changes in the South African banking scene impacted on the average productivity of the banks. The four banks experienced, on average, regress in total factor productivity as well as regress in technological change, the latter indicating a lack of innovation. The four banks operated, on average, in the proximity of fully technical efficiency. For various reasons, South Africa still has a large unbanked community.

scholarly journals Evaluating the Performance of Agricultural Bank Management: The Impact of State Regulatory Policies

1999 ◽  
Vol 31 (3) ◽  
pp. 437-448 ◽  
Author(s):  
Bernard K.N. Armah ◽  
Timothy A. Park ◽  
C.A. Knox Lovell
Keyword(s):  
Technological Change ◽  
Scale Economies ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Efficiency Change ◽  
Regulatory Policies ◽  
Bank Management ◽  
Interstate Banking ◽  
The Impact

AbstractWe evaluate agricultural bank management performance, focusing on the impacts of interstate banking laws on productivity change. The generalized Malmquist productivity index decomposes productivity change into technological change, technical efficiency change, and change in scale economies. While managerial productivity rose from 1982 to 1991, states that adopted the most liberal interstate banking laws experienced the greatest improvement in productivity. Large agricultural banks were more efficient in states that had more liberalized interstate banking laws while small agricultural banks fared better in states with more restrictive laws.

Sign in / Sign up

Export Citation Format

Share Document