Productivity Changes in Slovenian Urban Municipalities

2014 ◽  
Vol 12 (3) ◽  
pp. 417-429 ◽  
Author(s):  
Primož Pevcin
Keyword(s):  
Technological Change ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Productivity Change ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Productivity Improvement ◽  
Urban City ◽  
Productivity Indices ◽  
Annual Means

Paper estimates productivity change in 10 Slovenian urban (city) municipalities during the period 2009-2012. Total factor productivity (TFP) change is estimated with input-orientated Malmquist productivity indices, which enables the productivity change to be decomposed into technical efficiency change and into technological change. The results indicate that average TFP annual means decreased by 5.8 % during the report period, and only one urban municipality experienced productivity improvement. Besides, technological regress can be identified as the main source of TFP decrease during the report period.

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.

A Stochastic Frontier Approach to Assessing Total Factor Productivity Change in China’s Star-Rated Hotel Industry

2020 ◽  
Vol 45 (1) ◽  
pp. 109-132
Author(s):  
Hongwei Liu ◽  
Henry Tsai
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Stochastic Frontier ◽  
Hotel Industry ◽  
Productivity Change ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Frontier Analysis ◽  
Scale Change ◽  
Economic Regions

Using a stochastic frontier analysis approach and a flexible translog production function considering neutral technological progress, this study assesses technical efficiency change, technological change, and scale change, and further measures the total factor productivity (TFP) change and its convergence of China’s star-rated hotel industry in 31 provinces, municipalities, and regions from 2001 to 2015. The results show that the TFP change of China’s star-rated hotel industry was generally favorable and boosted by both the technical efficiency change and technical change; nevertheless, the scale change hindered and largely caused fluctuations in the TFP change. From a regional economic perspective, the TFP change of the star-rated hotel industry in most of the eight comprehensive economic regions examined was rather stable. While few comprehensive economic regions existed absolute convergence, all of the regions showed significant conditional convergence except for the Eastern Coastal region.

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 TOTAL FACTOR PRODUCTIVITY CHANGE IN THE REIT INDUSTRY: THE CASE OF MALAYSIAN REITS DURING AND POST GLOBAL FINANCIAL CRISIS

2019 ◽  
Vol 17 (9) ◽  
Author(s):  
Nor Nazihah Chuweni ◽  
Ihsan Isik ◽  
Andrea Blake
Keyword(s):  
Real Estate ◽  
Technological Change ◽  
Total Factor Productivity ◽  
Malmquist Productivity Index ◽  
Productivity Change ◽  
Parametric Approach ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Real Estate Investment ◽  
Non Parametric

The paper examined productivity changes for the Malaysian Real Estate Investment Trust (M-REITs) using a non-parametric approach of Malmquist Productivity Index (MPI) of Data Envelopment Analysis (MPI-DEA). Data was attained from M-REIT annual reports, Thomson Reuters Datastream and Osiris via Bureau Van Dijk for 2007-2015. The non-parametric approach of MPI-DEA examined the Total Factor Productivity Change (TFPCH), Technological Change (TECHCH), Efficiency Change (EFFCH), Pure Technical Efficiency Change (PEFFCH) and Scale Efficiency Change (SECH) indices. On average, the M-REIT industry has faced 14.91% of productivity regress during 2007-2015 period, comprising 49.90% of efficiency increase and 33.40% technological regress. The decomposition of the productivity change index suggests that Malaysian REIT productivity changes were mainly due to efficiency change rather than technological change. These findings could help M-REIT managers to formulate ways to enhance their REIT productivity. The findings are also applicable tosimilar Shariah compliant real estate investment or socially responsible investment.

scholarly journals Agricultural basic industry subjects productivity development examination in the region Trnava (SR) by adopting the Malmquist indexes

2010 ◽  
Vol 56 (No. 3) ◽  
pp. 108-115
Author(s):  
P. Bielik ◽  
D. Hupková ◽  
M. Vadovič ◽  
V. Benda
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Future Trend ◽  
Factor Productivity ◽  
Technological Changes ◽  
Efficiency Change ◽  
Basic Industry ◽  
Factors Influencing ◽  
Two Factors ◽  
Malmquist Indexes

Analysis of the productivity and efficiency development could be used to asses the trend and factors influencing this process. The main goal of this paper is estimation of the Total Factor Productivity (TFP) development of agricultural farms in the Trnava region in the period 2002–2006. Results of this analysis could be used to detect the trend in the TFP development. The results of the analysis confirmed there is no evident trend in the average TFP indicators. This could be explained by the variation of technical efficiency change and technological changes during this period. These two factors represent the components of the TFP indicator. According to the present development of the TFP indicator, it is not possible to unambiguously forecast the future trend.

scholarly journals Distinction between Informal and Unorganized Sector: A Study of Total Factor Productivity Growth for Manufacturing Sector in India

2011 ◽  
Vol 3 (5) ◽  
pp. 296-310
Author(s):  
Indrajit Bairagya
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Informal Sector ◽  
Productivity Growth ◽  
Manufacturing Sector ◽  
Total Factor Productivity Growth ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Unorganized Sector

Since its very onset, the concept and definition of the informal sector has been a subject of debate both at the national and international levels. Existing literature uses the terms ‘informal sector’ and ‘unorganized sector’ interchangeably. However, in India, the characteristics of enterprises in the informal and non-informal unorganized manufacturing sectors are different and, thus, it is not justifiable to consider the informal and unorganized sector interchangeably for the manufacturing sector. Thus, the objective of this paper is to test the hypothesis on whether or not the total factor productivity growth (TFPG) of the informal manufacturing sector is different from the non-informal unorganized manufacturing sector. TFPG is decomposed into technical efficiency change and technological change. Later, technical efficiency change is further decomposed by pure efficiency change and scale efficiency change. Results show that the average TFPG of the non-informal sector is higher than the informal sector. The informal sector heavily concentrates in own account small enterprises, whereas the non-informal unorganized sector concentrates only in directory manufacturing enterprises (DME). Due to large in size, DME avails the advantages of economies of scale, which, in turn, helps the units for more growth in terms of total factor productivity growth. The main reason for productivity decrease of the enterprises, besides technology regress and the lack of adequate investments, is the limitation of activities and scale along with the optimal allocation of resources. This study provides a basis on how policies can be designed for enhancing the total factor productivity growth of the informal sector.

scholarly journals PERFORMANCE AND PRODUCTIVITY CHANGES OF MICROFINANCE BANKS IN SOUTH-WEST, NIGERIA.

2014 ◽  
Vol 2 (1) ◽  
pp. 43-51
Author(s):  
Musa A. Olasupo ◽  
Caroline A. Afolami ◽  
Adebayo M. Shittu
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Best Practice ◽  
Sample Period ◽  
Factor Productivity ◽  
Productivity Improvement ◽  
South West ◽  
Equity Ratio

The Nigerian Microfinance sub-sector is yet to attain the desired level of global best practice. This paper thus investigates the performance and productivity changes of MFBs in South-West Nigeria, from 2006 to 2010, having had the Microfinance Policy launched in 2005. The study revealed that only 16.28% of the sampled MFBs met the recommended maximum PAR value of 5% in 2006 and that was the highest throughout the sample period. It was also revealed that 31.14% of the sampled MFBs reported a debt/equity ratio of above the recommended value of 2 in 2006, while 32.56% had gearing of over 2 in 2010. The MFBs experienced fluctuating performances in their productivity changes, with pure technical efficiency improvements in 2007 and 2009. However, the MFBs suffered technological decline throughout the study period. Overall, the MFBs experienced Total Factor Productivity improvement in 2007, while there were productivity deteriorations in 2008, 2009 and 2010.

scholarly journals   Technical efficiency and total factor productivity in Czech agriculture

2012 ◽  
Vol 58 (No. 4) ◽  
pp. 147-156 ◽  
Author(s):  
L. Čechura
Keyword(s):  
Technological Change ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Systemic Effect ◽  
Management Model ◽  
Factor Productivity ◽  
Key Factors ◽  
Economic Changes ◽  
Input Use ◽  
The Individual

The paper deals with the analysis of technical efficiency and the total factor productivity (TFP) in Czech agriculture. The aim is to identify the key factors determining the efficiency of input use and the TFP development. The Fixed Management model is used for the estimation of technical efficiency and the construction of TFP for the total agriculture and its individual branches. The results show that technical inefficiency is an important phenomenon in Czech agriculture and its individual branches. The TFP development is determined by all components, i.e., technical efficiency, scale effect, technological change and management. Their contributions differ intrasectorally and intersectorally, and also in time. Finally, the developments in the individual branches are characterized by idiosyncratic factors, as well as the systemic effect, especially in the animal production. The most important factors which determine both technical efficiency and TFP are the factors connected with institutional and economic changes, in particular a dramatic increase in the imports of meat and increasing subsidies.  

The Engagement of Indian Private Banks in the Economy Through Off-Balance Sheet Activities

2020 ◽  
pp. 95-116
Author(s):  
Hariom Gurjar ◽  
Akhilesh Tripathi ◽  
Mahesh Chandra Joshi
Keyword(s):  
Technological Change ◽  
Total Factor Productivity ◽  
Balance Sheet ◽  
Financial Reform ◽  
Productivity Change ◽  
Factor Productivity ◽  
Financial Innovations ◽  
Technological Efficiency ◽  
Private Banks ◽  
The Impact

After financial reform, banks in India adopted financial innovations to earn more profits through various off-balance-sheet tools. To gauge the impact of these items on the efficiency of the top private banks, the authors used the non-parametric Malmquist method. They calculated efficiency with and without the inclusion of these items. Technical and technological efficiency changes were calculated to make a total factor productivity change index for ten years, 2008 to 2017. The results for the banks strengthened the dominant view in the current literature, removing off-balance sheet items led to the biased efficiency of these banks. The presence of these items increased the efficiency of the banks. Nonetheless, it also supported that increments in efficiency were more due to technological change. Despite the odd distribution of these items among these banks, they made a significant piece in the income of banks and overlooking them eroded the efficiency of the banks.

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