Examining the productivity growth of agricultural cooperatives: The biennial malmquist index approach

2021 ◽  
Vol 9 (2) ◽  
pp. 100148
Author(s):  
Krishna Prasad Pokharel ◽  
Allen M. Featherstone
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.


2019 ◽  
Vol 7 (4) ◽  
pp. 1-8
Author(s):  
Fang Zheng ◽  
Youngho Chang

This study emphasizes a role of human capital in the measurement of productivity growth and highlights the importance of sample selections in analyzing productivity change of ASEAN countries, especially from 2000 to 2010. The productivity growth in ASEAN countries appears to deteriorate, mainly due to efficiency losses in the first half of the decade and the lack of technological improvement in the second half of the decade.


Author(s):  
Somesh K. Mathur

Analysis of financial issues for the information and communication technology (ICT) sector is an essential element to study the progress of the sector, and especially the analysis should relate to the regulatory perspective of the country, if it would judge the overall e-government scenario of that country. Along this context, this chapter attempts to quantify the technical efficiency of the ICT sector in 45 countries during 2002-03, and in 52 countries during 2006-07 by using DEA method; Malmquist index of productivity growth in the ICT sector in 45 countries between these two periods; the proportions of the productivity growth attributable to efficiency change and technical change; and the effect on total factor productivity (TFP) of catching-up, the export ratio, broadband policy, and technical readiness using a regression analysis. As a result, the chapter finds that the ICT sectors in South Korea and Argentina were relatively efficient in 2002-03, while in 2006-07, the ICT sectors in Bahrain, Brazil, and Sweden showed relative efficiency. Furthermore, the productivity growth in the ICT sector in developing and newly industrialized countries is slightly higher than the growth in developed and transition countries, suggesting the catching-up of developing and newly industrialized countries. This catching-up effect is also confirmed in the regression analysis. Finally, this chapter concludes that, technological readiness, which is a measure of the agility with which an economy adopts existing technologies, has a positive impact on TFP growth.


2019 ◽  
Vol 11 (1-2) ◽  
pp. 59-80
Author(s):  
Ram Pratap Sinha

This study estimates Malmquist index of total factor productivity change of 14 major general insurers in India over the period 2009–10 to 2016–17 over 7 annual windows. The study decomposes total factor productivity index into its constituent components, using several approaches including Färe et al. (1989, Productivity Developments in Swedish Hospitals: A Malmquist Output Index Approach. Carbondale: Department of Economics, Southern Illinois University; 1992, Journal of Productivity Analysis 3(1): 85–101), Färe et al. (1994, American Economic Review 84(1): 66–83), Ray and Desli (1997, American Economic Review 87(5): 1033–39) and Wheelock and Wilson (1999, Journal of Money, Credit and Banking 31(2): 212–23). Furthermore, the study uses bootstrap data envelopment analysis (DEA) method to obtain bias-corrected point and interval estimates of Malmquist index and its components. Finally, the study makes a comparison of productivity performance between public and private sector insurers. The results indicate a modest growth in total factor productivity during the period contributed mainly by efficiency changes. The private sector insurers performed better than the public sector in terms of productivity growth. The variations in productivity performance indicate that insurer scale of activity can affect their performance. JEL Classification: G-23, C-61, D-21


Sign in / Sign up

Export Citation Format

Share Document