Agriculture is one of the main economic sectors in Türkiye. Therefore, a performance evaluation essential for an improvement agricultural sector. In this study, productivity Turkish sector was analyzed years between 2006-2015. A non-parametric technique, Data Envelopment Analysis (DEA) based Malmquist index method, applied to calculate Total Factor Productivity (TFP) indices agriculture 26 NUTS...

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...

The Malmquist index (MI) has demonstrated its usefulness in comparing the performances of Decision Making Units (DMUs) performances. global MI (GMI) been suggested as a means to overcome three drawbacks MI: non-circularity, disparate measurements, and infeasibility. Recently, it appeared that can also be used compare groups DMUs. While this new function increased usefulness, presents same MI. I...

When considering the linkage between innovation and productivity, the relationship is often termed as the knowledge production function in the endogenous growth literature. In this article, we approach the issues involved through the aspects of the standard neoclassical production theory. The advantage is that the basic properties required of ordinary production function can be employed to infe...

This paper analyzes the labor productivity of Swiss university departments between 1995 and 2007. Using a parametric input distance function we estimate and decompose the Malmquist productivity indexes in line with Fuentes et al. (2001) and Atkinson et al. (2003). By contrast to those studies, this paper proposes a panel data specification to account for unobserved heterogeneity across producti...

this paper presents a data envelopment analysis (dea) model combined with bootstrapping to assess performance of one of the data mining algorithms. we applied a two-step process for performance productivity analysis of insurance branches within a case study. first, using a dea model, the study analyzes the productivity of eighteen decision-making units (dmus). using a malmquist index, dea deter...

abstract in the past few years, diversification has turned into a highly controversial issue amongst numerous managers in almost each and every business. it is contended by many that diversification is vitally important and highly effective especially when it comes to evaluating the financial performance. there are several studies about the relationship between diversification and financial per...

the present study used different categories of organized sector manufacturing industries pooled data for the periods of 1981-82 and 2007-08 in haryana state (india). the present undertaking seeks to analyze the inter-temporal and inter-industry comparison of total factor productivity (tfp) measured by malmquist productivity index - an application of dea which calculates the indices of tfp and i...

data envelopment analysis (dea) measures the relative efficiency of a homogenous set of decision-making units (dmus) when multiple inputs and outputs are present. the deabased malmquist productivity index measuring the productivity change of dmus over time has proven itself to be a valid tool to compare group performance. however, in the previous models developed for this purpose, it was suppos...