QUALITY INDICATORS AND INTERMEDIATE PRODUCTS: A NON-PARAMETRIC APPROACH

In this paper we propose a methodology to measure the characteristics and composition of intermediate products using productivity indicators based on directional distance functions. We evaluate how quality attributes interact with the quantity level in grapes production, and find evidence of a trade-off between quantity and aggregate quality for Chardonnay.Marketing,

A Productivity analysis of Eastern European banking taking into account risk decomposition and environmental variables

This paper develops a new Luenberger productivity which is applied to a technology where the desirable and undesirable outputs are jointly produced and are possibly negative. The components of this Luenberger productivity index - the efficiency change and the components of the technological shift - are then decomposed into factors determined by the technology, adjusted for ‘risk and environment’, ‘risk management’ and ‘environmental effects’. The method is applied to Central and Eastern European banks operating during 1998–2003 utilising three alternative input/output methodologies (intermediation, production and profit/revenue). Additionally, the comparative analysis of the sensitivity of the productivity indices in the choice of the methodologies is undertaken using statistical and kernel density tests. It is found that the main driver of productivity change in Central and Eastern European banks is technological improvement, which, in the beginning of the analysed period, hinged on the banks’ ability to capitalise on advanced technology and successfully take into account risk and environmental factors. Whereas, in the later sampled periods, we show that one of the most important factors of technological improvement/decline is risk management. Finally, the tests employed confirm previous findings, such as Pasiouras (2008) in this journal, that different input/output methodologies produce statistically different productivity results. Indeed, we also find that external factors, such as a risk in the economy and banking production, and a ‘corruption perception’ affect the productivity of banks.Luenberger productivity index; DEA; banking; undesirable outputs; negative data.

A Note on Productivity Change in European Co-operative Banks: The Luenberger Indicator Approach

This paper proposes a framework for benchmarking European co-operative banks and the rationalization of their operational activities. The analysis is based on the Luenberger productivity indicator. A key advantage of this method is that it allows for both input contraction and output expansion in determining relative efficiencies and productivity changes. Benchmarks are provided for improving the operations of those banks which perform worse than others. Several interesting and useful managerial insights and implications arise from the study. The general conclusion is that, between 1996 and 2003, productivity increased for the majority of European co-operative banks analyzed.Europe; Co-operative banks; Luenberger productivity indicator.

A Comparative Analysis of Productivity Change in Italian and Portuguese Airports

In this paper, we analyze efficiency and productivity of Italian and Portuguese airports, by using the directional distance function and the Luenberger productivity indicator. The key advantage of this approach is that both input contraction and output expansion are considered. The model generates efficiency scores, ranking the airports in the sample. We conclude that inputs and outputs play a major role in airports efficiency. According to this methodology, it can be stated that some Italian and Portuguese airports are efficient and that productivity increased in most of the cases.Italian and Portuguese airports; Luenberger productivity indicator.

Bad loans and efficiency in Italian Banks

The problem of taking into account the quality attributes of different goods has a long tradition in economics A strand of literature deals with the environmental impacts in the measurement of efficiency and productivity growth. Färe et al. (1989) indeed started what has become now a relatively vast literature extending efficiency measurement when some outputs are undesirable. The central notion of this paper is that of weak disposability of outputs. To credit firms for their effort to cut off on pollutants, technology is modeled so that it can handle the case when the reduction of some (bad) outputs requires the reduction of some of the other outputs and/or the increase of inputs.Besides the concept of output weak disposability, an interesting and useful idea for this setting is the directional distance function, a generalization of the radial distance function introduced to production economics by Chambers, Chung and Färe (1996). In this fashion it is possible to evaluate the performance of the firms that need to increase the production of the good outputs and decrease that bad outputs.

A productivity analysis of Eastern European banking taking into account risk decomposition and environmental variables

This paper develops a new Luenberger productivity which is applied to a technology where the desirable and undesirable outputs are jointly produced and are possibly negative. The components of this Luenberger productivity index - the efficiency change and the components of the technological shift - are then decomposed into factors determined by the technology, adjusted for ‘risk and environment’, ‘risk management’ and ‘environmental effects’. The method is applied to Central and Eastern European banks operating during 1998–2003 utilising three alternative input/output methodologies (intermediation, production and profit/revenue). Additionally, the comparative analysis of the sensitivity of the productivity indices in the choice of the methodologies is undertaken using statistical and kernel density tests. It is found that the main driver of productivity change in Central and Eastern European banks is technological improvement, which, in the beginning of the analysed period, hinged on the banks’ ability to capitalise on advanced technology and successfully take into account risk and environmental factors. Whereas, in the later sampled periods, we show that one of the most important factors of technological improvement/decline is risk management. Finally, the tests employed confirm previous findings, such as Pasiouras (2008) in this journal, that different input/output methodologies produce statistically different productivity results. Indeed, we also find that external factors, such as a risk in the economy and banking production, and a ‘corruption perception’ affect the productivity of banks

The Dynamics of Productivity Changes in Agricultural Sector of Transition Countries

Relying on frontier production approach (e.g., Luenberger's shortage function), we investigated the performance of agricultural sector in transition countries and its changes over time, especially focusing on the dynamics of productivity changes. We found that; (i) CEE countries have improved their performance during the sample period whereas CIS have not; (ii) productivity changes in the last decade was attributable to the technical progress; (iii) overall performance was decelerated for the second 5-year sub-period (1997-2001) in both regions; (iv) agricultural reform has positive effects on the productivity and its components especially in CEE countries.transition countries, productivity, directional distance function, agricultural reform, Productivity Analysis,

The measurement of revenue inefficiency over time: An additive perspective

In this paper, we measure and decompose revenue inefficiency over time while accounting for all sources of technical inefficiencies. Our proposed decomposition exploits the dual relationship between the weighted additive distance function and revenue inefficiency in Aparicio et al. [1]. With the aid of the Luenberger indicator, we decompose this indicator into productivity change, and overall allocative change components. The importance of such decomposition is that it provides a complete picture of the sources of productivity change, thus obtaining a slack free allocative component. Finally, the model is ap- plied to the French wine sector to illustrate its practicality: we track how revenue inefficiency evolves in French wine regions over the 2004–2013 period, before and after the implementation of Common Market Organization policies in Europe in 200

A Luenberger index for the Greek life insurance industry

This paper uses the Luenberger productivity index to evaluate the productivity changes of Greek Life insurance companies between 1994 and 2003, combining operational and financial variables. It is found that the average annual productivity change was about 19% and was due to technological progress, whereas the impact of efficiency was minimal. It seems that deregulation, established by the Third Insurance Directive in 1994, provoked investments in new technologies which were not matched by superior managerial practices. For comparative purposes, a Malmquist productivity index is estimated.peer-reviewe

CO2 emissions reduction of Chinese light manufacturing industries:a novel RAM-based global Malmquist-Luenberger productivity index

Climate change has become one of the most challenging issues facing the world. Chinese government has realized the importance of energy conservation and prevention of the climate changes for sustainable development of China's economy and set targets for CO2 emissions reduction in China. In China industry contributes 84.2% of the total CO2 emissions, especially manufacturing industries. Data envelopment analysis (DEA) and Malmquist productivity (MP) index are the widely used mathematical techniques to address the relative efficiency and productivity of a group of homogenous decision making units, e.g. industries or countries. However, in many real applications, especially those related to energy efficiency, there are often undesirable outputs, e.g. the pollutions, waste and CO2 emissions, which are produced inevitably with desirable outputs in the production. This paper introduces a novel Malmquist-Luenberger productivity (MLP) index based on directional distance function (DDF) to address the issue of productivity evolution of DMUs in the presence of undesirable outputs. The new RAM (Range-adjusted measure)-based global MLP index has been applied to evaluate CO2 emissions reduction in Chinese light manufacturing industries. Recommendations for policy makers have been discussed