Wheat is a major agricultural crop in the Sistan region with a key role in local economy. The present study aimed to economically explore the efficiency of wheat production over the 2014-2016 period with the window data envelopment analysis (WDEA) approach. Also, the Malmquist productivity index was employed to assess the productivity of wheat growers in the study site under variable return to ...

In many real applications, the data of production processes can't be precisely measured.We develop some fuzzy versions of the classical DEA models (in particular, the CCRmodel) by using some ranking methods based on the comparison of cuts. Our approachescan be seen as an extension of the DEA methodology. The provides users and practitionerswith models which represent some real life processes mo...

this paper talks about the measurement of efficiency and productivity of non-life insurance firms in india. this study is focused on twelve private non-life insurance firms and four public sector non-life insurance firms of india in the period 2008-09 to 2012-13. data envelopment analysis (dea) coupled with malmquist productivity index is used in measuring the efficiency as well as productivity...

A primal index of productivity change is introduced which decomposes exactly in three components: technical change, technical efficiency change and average scale economies (radial scale change). The proposed index is invariant to movement along indifference surfaces and it collapses to the Malmquist index if the technology is locally constant returns to scale. It is the best linear approximatio...

Apart from the well-known weaknesses of the standard Malmquist productivity index related to infeasibility and not accounting for slacks, already addressed in the literature, we identify a new and significant drawback of the Malmquist-Luenberger index decomposition that questions its validity as an empirical tool for environmental productivity measurement associated with the production of bad o...

This article computes the energy productivity changes of regions in Japan using total-factor frameworks based on data envelopment analysis (DEA). Since the traditional DEA-Malmquist index cannot analyze changes in single-factor productivity changes under the total-factor framework, we apply a new index proposed by Hu and Chang [2009. Total-factor energy productivity growth of regions in China. ...