Productivity Growth, Efficiency Change and Technological Progress in Horticultural & Herbal R&D : A Malmquist Productivity Index Approach

2013 ◽  
Vol 25 (4) ◽  
pp. 371-377 ◽  
Author(s):  
Nam-Jun Cho ◽  
◽  
Seung-Oh Hur ◽  
Keun Tae Cho
2002 ◽  
Vol 22 (2) ◽  
pp. 133-146 ◽  
Author(s):  
Marcelo Farid Pereira ◽  
João Serafim Tusi da Silveira ◽  
Edgar Augusto Lanzer ◽  
Robert Wayne Samohyl

Starting in the 1970's, the Brazilian agricultural sector has experienced an important process of modernization, whose principal effects include advances in technological progress and gains in productivity. The primary objective of this paper is to analyze technological progress and total productivity growth in the Brazilian agricultural sector during the period from 1970 to 1996. The methodology used here is based on the Malmquist productivity index and techniques in mathematical programming called Data Envelopment Analysis. The results show that significant progress was made in this sector of the economy but concentrated in only some regions of the country.


2019 ◽  
Vol 06 (03) ◽  
pp. 1950026
Author(s):  
Farah Naz ◽  
Hafsa Khan ◽  
Muhammad Ishfaq Ahmad ◽  
Ramiz Ur Rehman ◽  
Muhammad Akram Naseem

The key area of this research is to analyze the total factor productivity of mutual funds by using Data Envelopment Analysis (DEA) and also to identify the components which play a significant role in the growth of productivity. Malmquist productivity index approach is a nonparametric method that decomposes the index into components of productivity. The process of decomposition also helps in identifying the contribution of technology and efficiency in the growth of mutual funds in Pakistan. Empirical results suggest that efficiency growth in mutual funds is presenting the upward trend. The individual results of mutual funds showed the divergent trend. The component of pure efficiency change has a great influence on productivity growth except for all others components, and technical change has a smaller number of contributions in productivity growth.


Author(s):  
Eya Jebali ◽  
Hédi Essid

This paper examines the environmental productivity in the Mediterranean countries over the period 2009-2014.We use the Malmquist-Luenberger productivity index (MLPI) that can handle undesirable outputs within Data Envelopment Analysis (DEA) approach. We decompose the MLPI index into technical efficiency, technological change and scale efficiency change in order to determine the source of productivity changes. Empirical findings indicate that the total factor environmental productivity in the Mediterranean countries have a negative developmental trend. Furthermore, we find that technological progress is the main source of productivity growth. Finally, Mediterranean countries need a considerable effort on R&D to optimize the potential for technical development and enhance the environmental efficiency levels.


2020 ◽  
Vol 45 (1) ◽  
pp. 151-170
Author(s):  
Nicolas Peypoch ◽  
Yuegang Song ◽  
Linjia Zhang

This article investigates the role of technological change in the Chinese hotel sector over the period 2005 to 2015. The analysis is conducted at the provincial level and on the star-rating hotel basis. A three-step approach is adopted. First, the Malmquist productivity index and its decomposition into efficiency and technological change is estimated. Second, the significance of each component is statistically tested. Third, the technological change is decomposed to analyze the Hicks neutrality assumption. The findings show that the Chinese hotel sector experienced an overall productivity growth, which is mainly and significantly driven by a technological progress. In most of the cases, the technological change is not neutral, and input and output biases are characterized.


2020 ◽  
Vol 12 (4) ◽  
pp. 1367
Author(s):  
Houyem Zrelli ◽  
Abdullah H. Alsharif ◽  
Iskander Tlili

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.


Paradigm ◽  
2017 ◽  
Vol 21 (2) ◽  
pp. 211-228
Author(s):  
Jaswinder Singh ◽  
Parminder Singh

This article endeavours to analyse the inter-firm variations in total factor productivity growth (TFPG) of Indian pharmaceutical industry during the pre-Trade-Related Intellectual Property Rights (TRIPS) and post-TRIPS period by using non-parametric Malmquist productivity index (MPI). For analysis purpose, data for 30 major Indian pharmaceutical firms have been culled out from the various reports of the Centre for Monitoring Indian Economy (CMIE) during the period of 1991–2011. The empirical results reveal that the TFPG of the 30 major Indian pharmaceutical firms recorded to be 0.02 per cent and both the technological progress and efficiency change are equally contributing to the TFPG of the firms during entire study and pre-TRIPS period. It has been observed that TFPG has marginally regressed by 0.04 per cent in the post-TRIPS period and the negative growth of the average TFPG was contributed by technical inefficiency, whereas the positive technological progress helps to cover the impact of inefficiencies on TFPG. However, the growth of efficiency remains negative throughout the study period, which has been contributed both by the scale inefficiency and by the pure inefficiency, whereas the technological progress has a favourable impact on the productivity growth of the industry during the post-TRIPS period. Therefore, it can be inferred that the managerial, technical and scale inefficiencies in Indian pharmaceutical industry should be checked in order to operate at optimal scale and achieve potential productivity growth in the post-TRIPS period.


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