Adverse effects of Interbank funds on bank efficiency: evidence from Turkish banking sector

This paper investigates the relationship between interbank funds and efficiencies is for the commercial banks operating in Turkey between 2001-2006. Data Envelopment Analysis (DEA) is executed to find the efficiency scores of the banks for each year, and fixed effects panel data regression is carried out, with the efficiency scores being the response variable. It is observed that interbank funds (ratio) has negative effects on bank efficiency, while bank capitalization and loan ratio have positive, and profitability has insignificant effects. Our study serves as an illustrative evidence that interbank funds can have adverse effects in an emerging market

COMPETITIVE ANALYSIS OF U.S. FOOD PROCESSING PLANTS

This paper presents a model-based approach for competitive analysis of manufacturing plants in the U. S. food processing industry. As part of this approach, plant competitiveness is measured using Operational Competitiveness Ratings Analysis (OCRA) -- a new non-parametric method of computing relative inefficiency. Drivers of competitiveness are identified in terms of policies related to plant structure and infrastructure. Policies related to plant structure are those decisions that are related with "bricks and mortar" and have long term implications, such as decisions related to plant size and capacity. Policies related to plant infrastructure are decisions related to how the " bricks and mortar" are used. These policies are typically under the direct control of the operations managers and have a short-term orientation, such as decisions related to equipment, quality, inventory, workforce and confusion-engendering activities (e.g. new product introductions and product variety). The empirical analysis is based on detailed cross-sectional data on 20 processed food manufacturing plants. With respect to plant structure, the results suggest that small sized food processing plants are competitive, and both capacity underutilization and overutilization are detrimental to plant competitiveness. Among the significant results with respect to plant infrastructure, equipment maintenance, quality management programs, packaging supplies inventory, workforce training and product variety are positively associated with plant competitiveness. The results also suggest that introduction of new products disrupts plant operations, at least in the short run, and is negatively associated with plant competitiveness.Agribusiness,

Does the Kyoto Protocol Agreement matters? An environmental efficiency analysis

This paper uses both conditional and unconditional Data Envelopment Analysis (DEA) models in order to determine different environmental efficiency levels for a sample of 110 countries in 2007. In order to capture the effect of countries compliance with the Kyoto Protocol Agreement (KPA), we condition the years since a country has signed the agreement until 2007. Particularly, various DEA models have been applied alongside with bootstrap techniques in order to determine the effect of Kyoto protocol agreement on countries’ environmental efficiencies. The study illustrates how the recent developments in efficiency analysis and statistical inference can be applied when evaluating environmental performance issues. The results indicate that the first six years after countries signed the Kyoto protocol agreement have a positive effect on their environmental efficiencies. However after that period it appears that countries avoid complying with the actions imposed by the agreement which in turn has an immediate negative effect on their environmental efficiencies.Environmental efficiency; Kyoto protocol agreement; Conditional full frontiers; Statistical inference; DEA

Efficiency of Banks in Regions at Different Stage of European Integration Process

This paper estimates commercial banks’ efficiency in three relatively homogenous groups of countries with different level of economic development and different involvement in the process of European integration. The first group consists of Portugal and Greece, the second group is represented by the Czech Republic, Hungary, Poland and Slovakia and the third group includes Bulgaria and Romania. The paper aims to reveal whether the differences among regions and countries in the stage of European integration and economic situation are visible also in banking efficiency. Thus we test the hypothesis that the higher degree of European economic integration and economic development goes hand in hand with higher baking efficiency. Employing Data Envelopment Analysis on unconsolidated data we evaluate efficiency of banks in a core of their business - financial intermediation - in 2002-2003. Results suggest that differences in banking efficiency exist among analyzed regions and the hierarchy corresponds with the hierarchy of regions and countries in terms of economic development and degree of integration. Thus, low level of financial intermediation efficiency in Central and Eastern European countries may undermine their effort to boost the economic growth and catch-up the forerunning countries. The importance of the efficiency gap is underscored by the fact that only some of the catching-up countries recorded higher growth of efficiency than the forerunners.efficiency, banks, Data Envelopment Analysis, integration

Economic cross-efficiency

This paper introduces a series of new concepts under the name of Economic Cross-Efficiency, which is rendered operational through Data Envelopment Analysis (DEA) techniques. To achieve this goal, from a theoretical perspective, we connect two key topics in the efficiency literature that have been unrelated until now: economic efficiency and cross-efficiency. In particular, it is shown that, under input (output) homotheticity, the traditional bilateral notion of input (output) cross-efficiency for unit l, when the weights of an alternative counterpart k are used in the evaluation, coincides with the well-known Farrell notion of cost (revenue) efficiency for evaluated unit l when the weights of k are used as market prices. This motivates the introduction of the concept of Farrell Cross-Efficiency (FCE) based upon Farrell's notion of cost (revenue) efficiency. One advantage of the FCE is that it is well defined under Variable Returns to Scale (VRS), yielding scores between zero and one in a natural way, and thereby improving upon its standard cross-efficiency counterpart. To complete the analysis we extend the FCE to the notion of Nerlovian cross-inefficiency (NCI), based on the dual relationship between profit inefficiency and the directional distance function. Finally, we illustrate the new models with a recently compiled dataset of European warehousesSpanish Ministry for Science and Innovation and the State Research Agency under grants PID2019-105952GB-I00/AEI/10.13039/501100011033 and EIN2020-112260/AEI/10.13039/50110001103

Robustness analysis based on weight restrictions in data envelopment analysis

Includes bibliographical references.Evaluating the performance of organisations is essential to good planning and control. Part of this process is monitoring the performance of organisations against their goals. The comparative efficiency of organizations using common inputs and outputs makes it possible for organizations to improve their performance so that can operate as the most efficient organizations. Resources and outputs can be very diversified in nature and it is complex to assess organizations using such resources and outputs. Data Envelopment Analysis models are designed to facilitate this of assessment and aim to evaluate the relative efficiency of organisations. Chapter 2 is dedicated to the basic Data Envelopment Analysis. We present the following: * A review of the Data Envelopment Analysis models; * The properties and particularities of each model. In chapter 3, we present our literature survey on restrictions. Data Envelopment Analysis is a value-free frontier which has the of yielding more objective efficiency measures. However, the complete freedom in the determination of weights for the factors and products) relevant to the assessment of organisations has led to some problems such as: zero-weights and lack of discrimination between efficient organizations. Weight restriction methods were introduced in order to tackle these problems. The first part of chapter 3 in detail the motivations for weight restrictions while the second part presents the actual weight restriction rnethods

A conditional full frontier approach for investigating the Averch-Johnson effect

This paper applies a probabilistic approach in order to develop conditional and unconditional Data Envelopment Analysis (DEA) models for the measurement of sectors’ input oriented technical and scale efficiency levels for a sample of 23 Greek manufacturing sectors. In order to capture the Averch and Johnson effect (A-J effect), we measure sectors’ efficiency levels conditioned on the number of companies competing within the sectors. Particularly, various DEA models have been applied alongside with bootstrap techniques in order to determine the effect of competition conditions on sectors’ inefficiency levels. Additionally, this study illustrates how the recent developments in efficiency analysis and statistical inference can be applied when evaluating the effect of regulations in an industry. The results reveal that sectors with fewer numbers of companies appear to have greater scale and technical inefficiencies due to the existence of the A-J effect.Averch-Johnson effect; Industry regulations; Manufacturing sectors; Nonparametric analysis

Carbon Management for the Agricultures in European Union

This paper uses a nontraditional DEA approach to modeling carbon emissions from the agriculture in each one of European Union countries as an undesirable output. We proposed a zero sum gains DEA model with hybrid returns to scale to reallocate carbon emissions from the agriculture in each one of European Union countries using efficiency measures. Model results suggest that agriculture, which has already exceeded their limits, must reduce pollution or negotiate a quota with others. This reallocation strategy creates a carbon management,, without changing the total sum of carbon emissions from the agriculture in European Union countries