Productivity, technical efficiency, and technological change in Vietnamese oceanic tuna fisheries

2022 ◽  
Vol 248 ◽  
pp. 106202
Author(s):  
Thanh Viet Nguyen ◽  
Michel Simioni ◽  
Cao Le Quyen ◽  
Hreiðar Pór Valtýsson
Keyword(s):  
Technological Change ◽  
Technical Efficiency ◽  
Tuna Fisheries

Productivity growth of Indonesian rice production: sources and efforts to improve performance

2018 ◽  
Vol 67 (9) ◽  
pp. 1792-1815 ◽  
Author(s):  
Joko Mariyono
Keyword(s):  
Technological Change ◽  
Technical Efficiency ◽  
Production Technology ◽  
Productivity Growth ◽  
Scale Effects ◽  
Allocative Efficiency ◽  
Rice Production ◽  
Content Type ◽  
Tfp Growth ◽  
Efficiency Effects

PurposeThe purpose of this paper is to investigate the productivity of rice production by decomposing the growth of total factor productivity (TFP) into four components: technological change, scale effects, technical and allocative efficiencies.Design/methodology/approachThis study employed an econometric approach to decompose TFP growth into four components: technological change, technical efficiency, allocative efficiency and scale effect. Unbalanced panel data used in this study were surveyed in 1994, 2004 and 2014 from 360 rice farming operations. The model used the stochastic frontier transcendental logarithm production technology to estimate the technology parameters.FindingsThe results indicate that the primary sources of TFP growth were technological change and allocative efficiency effects. The contribution of technical efficiency was low because it grew sluggishly.Research limitations/implicationsThis study has several shortcomings, such as very lowR2and the insignificant elasticity of labour presented in the findings. Another limitation is the limited time period panel covering long interval, which resulted in unbalanced data.Practical implicationsThe government should improve productivity growth by allocating more areas for rice production, which enhances the scale and efficiency effects and adjusting the use of capital and material inputs. Extension services should be strengthened to provide farmers with training on improved agronomic technologies. This action will enhance technical efficiency performance and lead to technological progress.Social implicationsAs Indonesian population is still growing at a significant rate and the fact that rice is the primary staple food for Indonesian people, the productivity of rice production should increase continually to ensure social security at a national level.Originality/valueThe productivity growth is decomposed into four components using the transcendental logarithm production technology based on farm-level data. The measure has not been conducted previously in Indonesia, even in rice-producing countries.

scholarly journals Patterns of productivity changes in nursing homes by using Malmquist DEA index

2021 ◽  
Vol 12 (2) ◽  
pp. 151-160
Author(s):  
Josipa Višić ◽  
Lana Kordić
Keyword(s):  
Nursing Homes ◽  
Technological Change ◽  
Technical Efficiency ◽  
Efficient Frontier ◽  
Developed Countries ◽  
Performance Measure ◽  
Social Changes ◽  
Factor Productivity ◽  
Production Frontier ◽  
For Profit

Motivation to open a for-profit nursing home is the same as motivation to start any other business, and it seems that, due to various demographic and social changes, the interest in this sector, especially in developed countries, will increase in the future. In that context, this research aims to analyze the efficiency of for-profit nursing homes with a focus on Croatian for-profit nursing homes from 2015 to 2019. In order to estimate different kinds of efficiencies, precisely to estimate technological change, which can’t be estimated through windows DEA, and technical efficiency changes, the Malmquist -- DEA performance measure was chosen for this analysis. The results show that for-profit nursing homes in our sample experienced an increase in the total factor productivity by 12.67 % in the analyzed period, where the decline in technical efficiency (-0.21 %) was compensated by an increase in technological change (13.16 %). Although technological innovation shifted the relative efficient frontier to a higher level, for-profit nursing homes in our sample were far from the best production frontier, highlighting managerial inefficiency.

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.  

scholarly journals Productivity Measuring In The Czech Banking Industry

2011 ◽  
Vol 4 (12) ◽  
Author(s):  
Dimitrios Angelidis ◽  
Katerina Lyroudi ◽  
Athanasios Koulakiotis
Keyword(s):  
Data Envelopment Analysis ◽  
Technological Change ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Financial Institutions ◽  
Banking Industry ◽  
Geometric Mean ◽  
Value Added ◽  
Data Envelopment ◽  
Factor Productivity

In this paper we investigate the productivity of the Czech banking industry for the period 1996-2002. The non-parametric frontier method of data envelopment analysis (DEA) is used in order to estimate the Malmquist total factor productivity (TFP) change indices for 134 year-firm observations. Using the value added approach and calculating the geometric mean of the TFP, we find that the level of productivity of financial institutions meets a decline of 0.7%. Moreover, the technical efficiency changes (TEC) is greater than unity, while the technological change (TC) is less than unity for the Czech banks during the period 1996 -2002.

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