Analyzing technical and super efficiency of aluminium firms in India

2017 ◽  
Vol 24 (6) ◽  
pp. 1729-1741 ◽  
Author(s):  
Mini Kundi ◽  
Seema Sharma
Keyword(s):  
Large Scale ◽  
Returns To Scale ◽  
Foreign Firms ◽  
Data Envelopment ◽  
Content Type ◽  
Super Efficiency ◽  
Young Firms ◽  
Dea Models ◽  
Dea Analysis ◽  
Practical Implications

Purpose The purpose of this paper is to evaluate the efficiency of aluminium firms in India. Design/methodology/approach Different data envelopment analysis (DEA) models have been employed to calculate the various efficiency scores of aluminium firms in India. Findings The major findings of the DEA analysis suggest that 62 per cent firms are found to be technically efficient. Overall, the industry shows good performance with mean technical efficiency levels of 0.936 and 0.911 for VRS and CRS frameworks, respectively. Further, five firms show decreasing returns to scale, signifying the overutilization of plant capacities. Six firms exhibit increasing returns to scale implying underutilization of plants. The results show that domestic firms are more efficient than the foreign firms, young firms are more efficient than young firms and small- and medium-scale firms are more efficient than large-scale firms. Practical implications The results of this study would help the aluminium firms to formulate an appropriate strategy to cautiously use their resources to increase their efficiency levels. Originality/value To the best of authors’ knowledge, no earlier studies seem to have ranked the aluminium firms based on their super-efficiency scores. Further, no previous studies seem to have examined the efficiency differences among aluminium firms across different size, age and ownership groups.

Efficiency of glass firms in India: an application of data envelopment analysis

2016 ◽  
Vol 13 (1) ◽  
Author(s):  
Mini Kundi ◽  
Seema Sharma
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Design Methodology ◽  
Large Scale ◽  
Returns To Scale ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Efficiency Measures ◽  
Target Values ◽  
Practical Implications

Purpose The purpose of the present study is to evaluate the efficiency of glass firms in India. Design/methodology/approach Data envelopment analysis (DEA) has been employed to study the technical, scale and super efficiency measures of glass firms in India. Findings Major findings of DEA analysis show that 65 percent firms are found to be technically efficient. Returns to scale analysis indicate that five firms are operating at decreasing returns to scale and two firms are exhibiting increasing returns to scale. Further, results show that small– and medium–scale firms are more efficient than large–scale firms. Old firms are more efficient compared to the young firms and foreign-owned firms are technically more efficient compared to the domestic firms. Practical implications The results of this study would help the managers to assess their relative efficiency and take corrective measures to efficiently use their resources. Originality/value This seems to be the first study to apply DEA to analyze the efficiency of glass firms in India. No previous study on glass industry seems to have decomposed the measure of overall technical efficiency into its components, namely pure technical efficiency and scale efficiency and no study seems to have examined whether ownership, age and size of a firm are significant for its efficiency. In addition, no earlier study seems to have ranked the glass firms based on their efficiency values. Further, target values of inputs and outputs are demonstrated in this study. Stability of efficiency scores is also checked.

Efficiency and exogenous factors: evidence from Spanish tourism regions

2017 ◽  
Vol 30 (1) ◽  
pp. 108-123 ◽  
Author(s):  
José Solana Ibáñez ◽  
Lorena Para González ◽  
Carmen de Nieves Nieto
Keyword(s):  
Statistical Significance ◽  
Returns To Scale ◽  
Data Envelopment ◽  
Strategic Decisions ◽  
Content Type ◽  
Dea Models ◽  
World Tourism Organization ◽  
Scale Test ◽  
Exogenous Factors ◽  
Tourism Organization

Purpose The purpose of this paper is to analyse the performance of Spanish tourism regions for the 2008-2011 period, to obtain a ranking of efficiency and to examine the hypothesis that the efficiency of these regions is determined by a group of contextual variables. Design/methodology/approach In contrast with monitoring reports based on descriptive methods, this paper uses data envelopment analysis (DEA) methodology and bootstrap semiparametric procedures to correct inherent bias. The significance of a group of exogenous factors is investigated and the importance of each determinant is ordered by its elasticity. Findings The ranking obtained by radial DEA models and by bias-corrected ones describes two remarkably different settings. The exogenous variables influence hypothesis and confirmed: that estimated coefficients are of the correct sign and statistically significant at 5 per cent. Originality/value The statistical significance of the potential attractors can offer an interesting tool for strategic decisions. The two-stage procedure employed has supposed a turning point in the methodology and there are only a handful of very recent studies of this type in the literature on tourism destination performance. In this sense, no previous work has considered the returns to scale test or the separability assumption. Following United Nations of World Tourism Organization recommendations, it is essential to move towards responsible tourism in all aspects. Some final considerations about the link between performance and sustainability of the Spanish tourist model are addressed in this study.

How “The Three Rules” guide strategy and investment decisions at Deloitte Consulting LLP

2015 ◽  
Vol 43 (3) ◽  
pp. 7-14 ◽  
Author(s):  
Jim Moffatt
Keyword(s):  
Design Methodology ◽  
Large Scale ◽  
Investment Decisions ◽  
Decision Makers ◽  
Research Project ◽  
Content Type ◽  
First Case ◽  
Practical Implications ◽  
Thought Leadership

Purpose – This case example looks at how Deloitte Consulting applies the Three Rules synthesized by Michael Raynor and Mumtaz Ahmed based on their large-scale research project that identified patterns in the way exceptional companies think. Design/methodology/approach – The Three Rules concept is a key piece of Deloitte Consulting’s thought leadership program. So how are the three rules helping the organization perform? Now that research has shown how exceptional companies think, CEO Jim Moffatt could address the question, “Does Deloitte think like an exceptional company?” Findings – Deloitte has had success with an approach that promotes a bias towards non-price value over price and revenue over costs. Practical implications – It’s critical that all decision makers in an organization understand how decisions that are consistent with the three rules have contributed to past success as well as how they can apply the rules to difficult challenges they face today. Originality/value – This is the first case study written from a CEO’s perspective that looks at how the Three Rules approach of Michael Raynor and Mumtaz Ahmed can foster a firm’s growth and exceptional performance.

Corporate social responsibility of mining industries

2015 ◽  
Vol 57 (5) ◽  
pp. 367-372 ◽  
Author(s):  
Deepankar Sharma ◽  
Priya Bhatnagar
Keyword(s):  
Corporate Social Responsibility ◽  
Community Development ◽  
Social Responsibility ◽  
Large Scale ◽  
Mining Industry ◽  
Developed Countries ◽  
Advanced Technology ◽  
Foreign Firms ◽  
Content Type ◽  
Corporate Social

Purpose – This paper aims to examine the community development approaches of large-scale mining companies, with particular reference to how they may engender community dependency. Design/methodology/approach – The paper begins with a review of corporate social responsibility (CSR) in the mining industry, corporate community initiatives and the problem of mining dependency at a national, regional and local levels. Findings – It outlines some of the reasons why less-developed countries (LDCs) experience under-development and detrimental effects as a result of their linkages with industrialized countries. LDCs are not able to take advantage of advanced technology and management skills due to being relatively poor in capital and skills, and foreign technologies compete unfairly with and destroy local production techniques, creating a pool of unemployable “marginalized” people. Holder’s of investments in LDCs demand annual returns for continued support – profits are taken out of the country or guaranteed by tax concessions. Unwillingness of foreign firms to train local people to take over management positions. Originality/value – This paper explores how the need to address sustainability issues has affected communities, and whether community development initiatives have been effective in contributing to more sustainable communities.

Rationality, accounting and benchmarking water businesses

2018 ◽  
Vol 31 (3) ◽  
pp. 290-315 ◽  
Author(s):  
Nicholas Pawsey ◽  
Jayanath Ananda ◽  
Zahirul Hoque
Keyword(s):  
Economic Efficiency ◽  
Fair Value ◽  
Water Utilities ◽  
Future Research ◽  
Data Envelopment ◽  
Water Utility ◽  
Capital Input ◽  
Content Type ◽  
Dea Models ◽  
Future Work

Purpose The purpose of this paper is to explore the sensitivity of economic efficiency rankings of water businesses to the choice of alternative physical and accounting capital input measures. Design/methodology/approach Data envelopment analysis (DEA) was used to compute efficiency rankings for government-owned water businesses from the state of Victoria, Australia, over the period 2005/2006 through 2012/2013. Differences between DEA models when capital inputs were measured using either: statutory accounting values (historic cost and fair value), physical measures, or regulatory accounting values, were scrutinised. Findings Depending on the choice of capital input, significant variation in efficiency scores and the ranking of the top (worst) performing firms was observed. Research limitations/implications Future research may explore the generalisability of findings to a wider sample of water utilities globally. Future work can also consider the most reliable treatment of capital inputs in efficiency analysis. Practical implications Regulators should be cautious when using economic efficiency data in benchmarking exercises. A consistent approach to account for the capital stock is needed in the determination of price caps and designing incentives for poor performers. Originality/value DEA has been widely used to explore the role of ownership structure, firm size and regulation on water utility efficiency. This is the first study of its kind to explore the sensitivity of DEA to alternative physical and accounting capital input measures. This research also improves the conventional performance measurement in water utilities by using a bootstrap procedure to address the deterministic nature of the DEA approach.

scholarly journals A Range Adjusted Measure of Super-Efficiency in Integer-Valued Data Envelopment Analysis with Undesirable Outputs

2021 ◽  
Vol 9 (4) ◽  
pp. 378-398
Author(s):  
Chunhua Chen ◽  
Haohua Liu ◽  
Lijun Tang ◽  
Jianwei Ren
Keyword(s):  
Data Envelopment Analysis ◽  
Transportation Systems ◽  
Decision Makers ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Super Efficiency ◽  
Dea Model ◽  
Dea Models ◽  
Analysis Models ◽  
Transport Accidents

Abstract DEA (data envelopment analysis) models can be divided into two groups: Radial DEA and non-radial DEA, and the latter has higher discriminatory power than the former. The range adjusted measure (RAM) is an effective and widely used non-radial DEA approach. However, to the best of our knowledge, there is no literature on the integer-valued super-efficiency RAM-DEA model, especially when undesirable outputs are included. We first propose an integer-valued RAM-DEA model with undesirable outputs and then extend this model to an integer-valued super-efficiency RAM-DEA model with undesirable outputs. Compared with other DEA models, the two novel models have many advantages: 1) They are non-oriented and non-radial DEA models, which enable decision makers to simultaneously and non-proportionally improve inputs and outputs; 2) They can handle integer-valued variables and undesirable outputs, so the results obtained are more reliable; 3) The results can be easily obtained as it is based on linear programming; 4) The integer-valued super-efficiency RAM-DEA model with undesirable outputs can be used to accurately rank efficient DMUs. The proposed models are applied to evaluate the efficiency of China’s regional transportation systems (RTSs) considering the number of transport accidents (an undesirable output). The results help decision makers improve the performance of inefficient RTSs and analyze the strengths of efficient RTSs.

scholarly journals The Efficiency of Waste Sector in Italy: An Application by Data Envelopment Analysis

2020 ◽  
Vol 24 (3) ◽  
pp. 225-238
Author(s):  
Massimo Gastaldi ◽  
Ginevra Virginia Lombardi ◽  
Agnese Rapposelli ◽  
Giulia Romano
Keyword(s):  
Data Envelopment Analysis ◽  
Environmental Performance ◽  
Returns To Scale ◽  
Sustainable Growth ◽  
Waste Reduction ◽  
Data Envelopment ◽  
Environmental Legislation ◽  
Dea Models ◽  
Developed Nations ◽  
Variable Returns To Scale

AbstractWith growing environmental legislation and mounting popular concern for the need to pursuing a sustainable growth, there has been an increasing recognition in developed nations of the importance of waste reduction, recycling and reuse maximization. This empirical study investigates both ecological and economic performances of urban waste systems in 78 major Italian towns for the years 2015 and 2016. To this purpose the study employs the non-parametric approach to efficiency measurement, represented by Data Envelopment Analysis (DEA) technique. More specifically, in the context of environmental performance we implement two output-oriented DEA models in order to consider both constant and variable returns to scale. In addition, we include an undesirable output – the total amount of waste collected – in the two models considered. The results show that there is variability among the municipalities analysed: Northern and Central major towns show higher efficiency scores than Southern and Islands ones.

An application of data envelopment analysis for Korean banks with negative data

2017 ◽  
Vol 24 (4) ◽  
pp. 1052-1064 ◽  
Author(s):  
Yong Joo Lee ◽  
Seong-Jong Joo ◽  
Hong Gyun Park
Keyword(s):  
Data Envelopment Analysis ◽  
Data Sets ◽  
Data Envelopment ◽  
Negative Data ◽  
Ownership Type ◽  
Data Set ◽  
Translation Invariant ◽  
Content Type ◽  
Dea Models ◽  
Regional Banks

Purpose The purpose of this paper is to measure the comparative efficiency of 18 Korean commercial banks under the presence of negative observations and examine performance differences among them by grouping them according to their market conditions. Design/methodology/approach The authors employ two data envelopment analysis (DEA) models such as a Banker, Charnes, and Cooper (BCC) model and a modified slacks-based measure of efficiency (MSBM) model, which can handle negative data. The BCC model is proven to be translation invariant for inputs or outputs depending on output or input orientation. Meanwhile, the MSBM model is unit invariant in addition to translation invariant. The authors compare results from both models and choose one for interpreting results. Findings Most Korean banks recovered from the worst performance in 2011 and showed similar performance in recent years. Among three groups such as national banks, regional banks, and special banks, the most special banks demonstrated superb performance across models and years. Especially, the performance difference between the special banks and the regional banks was statistically significant. The authors concluded that the high performance of the special banks was due to their nationwide market access and ownership type. Practical implications This study demonstrates how to analyze and measure the efficiency of entities when variables contain negative observations using a data set for Korean banks. The authors have tried two major DEA models that are able to handle negative data and proposed a practical direction for future studies. Originality/value Although there are research papers for measuring the performance of banks in Korea, all of the papers in the topic have studied efficiency or productivity using positive data sets. However, variables such as net incomes and growth rates frequently include negative observations in bank data sets. This is the first paper to investigate the efficiency of bank operations in the presence of negative data in Korea.

Succeeding in an increasingly Agile world

2018 ◽  
Vol 46 (3) ◽  
pp. 3-9 ◽  
Author(s):  
Steve Denning
Keyword(s):  
Customer Value ◽  
Large Scale ◽  
Management Practices ◽  
Human Beings ◽  
Value Innovation ◽  
Content Type ◽  
Corporate Leaders ◽  
Immense Potential ◽  
Practical Implications ◽  
Management Thinking

Purpose As Agile management thinking spreads to every part and every kind of organization, including their competitors, corporate leaders need to take steps to ensure they get and keep a good seat at the Agile table. Design/methodology/approach The author’s first hand research finds that firms are learning the hard way that software process and value innovation requires a different way of running the organization to be successful. The whole firm has to become nimble, adaptable and able to adjust on the fly to meet the shifting whims of a marketplace driven by dynamic changes in customer value. Findings The Agile way of working is provoking a revolution in business that affects almost everyone. Agile organizations are connecting everyone and everything, everywhere, all the time. They are capable of delivering instant, intimate, frictionless value on a large scale. Practical implications Examples of the new way of running organizations are everywhere apparent. It’s not just the five biggest firms by market capitalization: Amazon, Apple, Facebook, Google and Microsoft. It’s also firms like Airbnb, Etsy, Lyft, Menlo Innovations, Netflix, Saab, Samsung, Spotify, Tesla, Uber and Warby Parker. Social implications A new kind of management was needed to enable this new kind of worker -- a fundamentally different way of running organizations. Agile is economically more productive and a better fit with the new marketplace. And it had immense potential benefit for the human spirit. It could create workplaces that enabled human beings to contribute their full talents on something worthwhile and meaningful – creating value for other human beings. Originality/value Continuing the management practices and structures of the lumbering industrial giants of the 20th Century is no longer a viable option for today’s firms. To survive, let alone thrive, leaders today must recognize that Agile is not something happening in software alone.

A slack-based DEA analysis for the world cup teams

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fazıl Gökgöz ◽  
Engin Yalçın
Keyword(s):  
Performance Measurement ◽  
Data Envelopment ◽  
Sports Performance ◽  
World Cup ◽  
Actual Performance ◽  
Content Type ◽  
Novel Approach ◽  
The World ◽  
Dea Analysis ◽  
Dea Approach

Purpose This paper aims to assess the efficiency levels of World Cup teams via the slack-based data envelopment analysis (DEA) approach, which contributes to filling an important gap for performance measurement in football. Design/methodology/approach This study focuses on a comparative analysis of the past two World Cups. The authors initially estimate the efficiency of the World Cup teams via the slack-based DEA approach, which is a novel approach for sports performance measurement. The authors also present the conventional DEA results to compare results. The authors also include improvement ratios, which provide significant details for inefficient countries to enhance their efficiency. Besides, the authors include effectiveness ratings to present a complete performance overview of the World Cup teams. Findings According to the analysis results of the slack-based DEA approach, titleholder Germany and France are found as efficient teams in the 2014 and 2018 World Cup, respectively. Besides, Belgium and Russia recorded the highest efficiency improvement in the 2018 World Cup. The novel approach for sports performance measurement, the slack-based DEA approach, significantly overlaps with the actual performance of teams. Originality/value This study presents novelty in football performance by adopting the slack-based DEA with an undesirable output model for the performance measurement of the World Cup teams. This empirical analysis would be a pioneer study measuring the performance of football teams via the slack-based DEA approach.

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