Shareholder activism impact on efficiency in Brazil

2019 ◽  
Vol 19 (1) ◽  
pp. 141-157 ◽  
Author(s):  
Paula Guimaraes ◽  
Ricardo P.C. Leal ◽  
Peter Wanke ◽  
Matthew Morey
Keyword(s):  
Shareholder Activism ◽  
Efficiency Score ◽  
Data Envelopment ◽  
Truncated Regression ◽  
Two Stage ◽  
Content Type ◽  
Financial Characteristics ◽  
Long Term Impact ◽  
A Company

Purpose This paper aims to investigate the long-term impact of shareholder activism on Brazilian listed companies. Design/methodology/approach This study uses a sample of 194 companies in 2010, 2012 and 2014 and a two-stage data envelopment analysis to generate an efficiency score based on corporate governance, ownership structure and financial characteristics of companies. In the second stage, the study applies a bootstrap truncated regression to identify whether there is a relationship between the efficiency scores and a company-level activism index. Findings The results show a negative correlation between the efficiency scores and the activism index, suggesting that activist shareholders tend to target less efficient companies. A time analysis over the period 2010-2014 does not offer evidence of impacts of activism on changes of the efficiency scores. Practical implications Activist shareholders target less efficient companies. Shareholder activism increased after regulation that facilitated shareholder voting and required greater company transparency was introduced. Originality/value The two-stage nature of the procedure used in the analysis ascertains that this result is not spurious, assuring data separability between productive resources and contextual variables. This study contributes to the scarce literature on activism in emerging markets.

Non-radial two-stage network DEA model to estimate returns to scale

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Seyed Mohamad Fakhr Mousavi ◽  
Alireza Amirteimoori ◽  
Sohrab Kordrostami ◽  
Mohsen Vaez-Ghasemi
Keyword(s):  
Design Methodology ◽  
Returns To Scale ◽  
Scale Economies ◽  
Data Envelopment ◽  
Two Stage ◽  
Network Dea ◽  
Content Type ◽  
Long Run ◽  
Box Structures

Purpose As returns to scale (RTS) describes the long run connection of the changes of outputs relative to increases in the inputs, the purpose of this study is to answer the following questions: If the proportionate changes exist in the inputs, what is the rate of changes in outputs with respect to the inputs’ variations in the two-stage networks over the long term? How can the authors investigate quantitative RTS in the two-stage networks? In other words, the purpose of this research is to introduce a different approach to estimate the performance, RTS and scale economies (SE) in network structures. Design/methodology/approach This paper proposes a novel non-radial approach based on data envelopment analysis to analyze the performance and to investigate RTS and SE in two-stage processes. Findings The findings show that the range adjusted measure (RAM)/RTS approach can identify reference sets for overall systems and each stage. In addition, the models presented in this paper can classify decision-making units and determine the increasing/decreasing trends of RTS. Originality/value The majority of previous RTS studies have been examined in black-box structures and have been discussed in a radial framework. Therefore, in this study, RTS and SE in the two-stage networks are dealt with using an extended RAM approach. Actually, the efficiency and RTS for each stage and the overall model are calculated using the proposed technique.

A benchmarking study of Indian seaports

2019 ◽  
Vol 13 (1) ◽  
pp. 88-102
Author(s):  
Sajeev Abraham George ◽  
Anurag C. Tumma
Keyword(s):  
Financial Performance ◽  
Future Research ◽  
Data Envelopment ◽  
Operational Parameters ◽  
Two Stage ◽  
Content Type ◽  
The Public ◽  
Port Authorities ◽  
Financial Performance Measures ◽  
The Government

Purpose The purpose of this paper is to benchmark the operational and financial performances of the major Indian seaports to help derive useful insights to improve their performance. Design/methodology/approach A two-stage data envelopment analysis (DEA) methodology has been used with the help of data collected on the 13 major seaports of India. The first stage of the DEA captured the operational efficiencies, while the second stage the financial performance. Findings A window analysis over a period of three years revealed that no port was able to score an overall average efficiency of 100 per cent. The study identified the better performing units among their peers in both the stages. The contrasting results of the study with the traditional operational and financial performance measures used by the ports helped to derive useful insights. Research limitations/implications The data used in the study were majorly limited to the available sources in the public domain. Also, the study was limited to the major seaports which are under the Government of India and no comparisons were carried out with other local or international ports. Practical implications There is a need to prioritize investments and improvement efforts where they are most needed, instead of following a generalized approach. Once the benchmark ports are identified, the port authorities and other relevant stakeholders should work in detail on the factors causing inefficiencies, for possible improvements in performance. Originality/value This paper carried out a two-stage DEA that helped to derive useful insights on operational efficiency and financial performance of the India seaports. A combination of the financial and operational parameters, along with a comparison of the DEA results with the traditional measures, provided a different perspective on the Indian seaport performance. Considering the scarcity of research papers reported in the literature on DEA-based benchmarking studies of seaports in the Indian context, it has the potential to attract future research in this field.

scholarly journals Sinabung volcano: how culture shapes community resilience

2019 ◽  
Vol 28 (3) ◽  
pp. 290-303
Author(s):  
Marta Mori ◽  
Ronan McDermott ◽  
Saut Sagala ◽  
Yasmina Wulandari
Keyword(s):  
Structured Interviews ◽  
Content Type ◽  
Aid Dependency ◽  
Relief Operations ◽  
Long Term Impact ◽  
Cultural Experts ◽  
Practical Implications

Purpose The purpose of this paper is to explore how culture, including traditions and social structures, can influence resilience and how culturally sensitive relief operations can put affected people and their context at the core of any interventions. Design/methodology/approach A case study of the Mt Sinabung volcano area in Indonesia was undertaken. As part of the case study, an analysis of interventions was conducted, which was complemented by semi-structured interviews with Karo cultural experts and humanitarian organisations. Findings Culture influences the manner in which the Karo people react to volcano eruptions with varying implications for recovery. In addition, relief organisations which understand people’s actions through a cultural lens have better managed to tailor programs with long-term impact, thereby avoiding aid dependency. Practical implications Practical examples of disaster management activities that adequately account for the beneficiaries’ way of living prior to the eruptions are provided. Aid actors are provided with guidance concerning how to better tailor their activities in line with a cultural lens. Originality/value The study provides empirical grounding for claims concerning the role of culture in planning interventions in Indonesia and other similar contexts.

Does capacity utilisation influence financial performance? A study of Indian public bus transport companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shivam Kushwaha ◽  
Shankar Prawesh ◽  
Anand Venkatesh
Keyword(s):  
Financial Performance ◽  
Public Transport ◽  
Ordinary Least Squares ◽  
Positive Influence ◽  
Data Envelopment ◽  
Truncated Regression ◽  
Capacity Utilisation ◽  
Content Type ◽  
Unit Increase ◽  
Unused Capacity

PurposeThe objective of the paper is to get a better understanding of capacity utilisation (CU) in Indian public bus companies. More specifically, this paper would be measuring CU and identifying the drivers of the same. Finally, the influence of CU on the financial performance of Indian bus companies is examined.Design/methodology/approachThe study adopted data envelopment analysis (DEA) to measure the CU in Indian public bus companies. Truncated regression was used to identify the drivers of CU. Subsequently, the ordinary least squares (OLS) regression was used to analyse the influence of CU on Indian bus companies' financial performance. The period of study was from 2013 to 17.FindingsThe significant drivers of CU were fleet age, passenger lead and fleet utilisation. Additionally, it was found that CU had a significant positive influence on the financial performance of Indian public bus companies and a unit increase in unused capacity has led to an increase of 7% in the operating ratio of the bus companies.Practical implicationsGetting insights into CU, apart from technical efficiency, is of immense use to both public transport researchers and practitioners. Managers of public bus companies should be mindful of CU as it has a significant bearing on their financial performance.Originality/valueThis is the first study in public transport, which establishes the linkage between CU and financial performance. Besides, a modified measure of cost-efficiency has also been conceptualised in this study.

Benchmarking the efficiencies of Indonesia’s municipal water utilities using Stackelberg data envelopment analysis

2015 ◽  
Vol 22 (4) ◽  
pp. 588-609 ◽  
Author(s):  
Andreas Wibowo ◽  
Hans Wilhelm Alfen
Keyword(s):  
Data Envelopment Analysis ◽  
The Body ◽  
Water Utilities ◽  
Data Envelopment ◽  
Two Stage ◽  
Restrictive Assumption ◽  
Content Type ◽  
Second Stage ◽  
Municipal Water ◽  
The Impact

Purpose – The purpose of this paper is to present a yardstick efficiency comparison of 269 Indonesian municipal water utilities (MWUs) and measures the impact of exogenous environmental variables on efficiency scores. Design/methodology/approach – Two-stage Stackelberg leader-follower data envelopment analysis (DEA) and artificial neural networks (ANN) were employed. Findings – Given that serviceability was treated as the leader and profitability as the follower, the first and second stage DEA scores were 55 and 32 percent (0 percent = totally inefficient, 100 percent = perfectly efficient), respectively. This indicates sizeable opportunities for improvement, with 39 percent of the total sample facing serious problems in both first- and second-stage efficiencies. When profitability instead leads serviceability, this results in more decreased efficiency. The size of the population served was the most important exogenous environmental variable affecting DEA efficiency scores in both the first and second stages. Research limitations/implications – The present study was limited by the overly restrictive assumption that all MWUs operate at a constant-return-to-scale. Practical implications – These research findings will enable better management of the MWUs in question, allowing their current level of performance to be objectively compared with that of their peers, both in terms of scale and area of operation. These findings will also help the government prioritize assistance measures for MWUs that are suffering from acute performance gaps, and to devise a strategic national plan to revitalize Indonesia’s water sector. Originality/value – This paper enriches the body of knowledge by filling in knowledge gaps relating to benchmarking in Indonesia’s water industry, as well as in the application of ensemble two-stage DEA and ANN, which are still rare in the literature.

Are jacks-of-all-trades successful entrepreneurs? Revisiting Lazear's theory of entrepreneurship

2020 ◽  
Vol 15 (3) ◽  
pp. 411-430
Author(s):  
Agnieszka Kurczewska ◽  
Michał Mackiewicz
Keyword(s):  
Design Methodology ◽  
Success Factors ◽  
Negative Influence ◽  
The Body ◽  
Entrepreneurial Success ◽  
Content Type ◽  
Logit Regression ◽  
Managerial Experience ◽  
A Company

PurposeThe purpose of this paper is to identify human capital factors that pertain both to setting up and successfully running a business. To achieve this objective, the authors apply and extend the theory of career choice offered by Lazear (2005) that explains individual selection into entrepreneurship.Design/methodology/approachThe authors hypothesise that individuals with broader educational and professional backgrounds are more likely to start a business and are more likely to run a business in the long term. The authors tested the hypotheses using unique data from 800 current entrepreneurs, 800 employees who were previously entrepreneurs and 842 employees with no entrepreneurial experience, by means of a logit regression with robust standard errors and extensive robustness checks.FindingsThe authors empirically show that individuals with more diverse educational and professional backgrounds tend to have both greater chances of starting a company, as well as a higher probability of entrepreneurial success. Surprisingly, having managerial experience proved to exert a negative influence on the likelihood of starting a business while having an insignificant impact on the odds of entrepreneurial success.Research limitations/implicationsThe findings are informative for those planning or pursuing an entrepreneurial career, but they are also relevant for the purpose of entrepreneurship education.Originality/valueThe author's extend the body of research supporting Lazear's (2005) theory by showing that broad education and professional experience not only contribute to a higher propensity to start a company but they are also success factors in business per se.

Lucky or privileged? Working with memory and reflexivity

2018 ◽  
Vol 47 (2) ◽  
pp. 208-216 ◽  
Author(s):  
Christine Trimingham Jack
Keyword(s):  
Teacher Educator ◽  
Boarding School ◽  
School Experience ◽  
Unique Contribution ◽  
Content Type ◽  
Educational History ◽  
Secondary Sources ◽  
Long Term Impact ◽  
The Uk

Purpose Through a case study of the decision making that led to the writer becoming a teacher educator, the purpose of this paper is to contribute to historiography by exploring the complex process of surfacing and interpreting memory. Design/methodology/approach The methodology draws on the concepts of autobiographical memory and reflexivity, together with documentary and archival sources including newspapers and secondary sources. Findings The outcome reveals that the process of memory is complex. It illustrates that allowing the participant a wide scope to work with pivotal memories, which may include those referring to material objects, may lead to unexpected and compelling explanations that have the power to change thinking in regards to related aspects of educational history. In this particular case, the findings reveal the long-term impact of boarding school experience. Originality/value The paper expands the way in which educational historians may think about undertaking interviews by illustrating the need for investment of time and close attention to all memories, some of which may at first seem to be irrelevant. Additionally, while a significant amount of research had been published on the long-term impact of boarding school experience on students in the UK, a little critical historical work has been undertaken in regards to the Australian experience – this paper offers a unique contribution to the undertaking of that project.

Evaluating two-stage holistic production systems using novel CSDEA approach

2018 ◽  
Vol 13 (1) ◽  
pp. 101-118 ◽  
Author(s):  
Dujun Zhai ◽  
Minyue Jin ◽  
Jennifer Shang ◽  
Chenfeng Ji
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Production Process ◽  
Group Decision Making ◽  
Group Decision ◽  
Collective Decision ◽  
Data Envelopment ◽  
Two Stage ◽  
Decision Strategies ◽  
Content Type

Purpose The purpose of this paper is to apply data envelopment analysis (DEA) techniques to the collective decision-making environment to appraise two-stage production process under different decision preferences. Design/methodology/approach The authors propose a novel multi-criteria group decision-making approach that uses consensus-strategic data envelopment analysis (CSDEA) to appraise two-stage production process under two different decision strategies, which are efficiency- and fairness-based group decision preferences. Findings The authors find that the proposed CSDEA model evaluates the performance of the decision-making units (DMUs) not by diminishing other competitors but rather based on group interests of the entire decision set. Originality/value The authors extend Li’s two-stage model to cases that consider both intermediate inputs and outputs. The authors address the issue of incorporating collective managerial strategy into multi-criteria group decision-making and propose a novel CSDEA model that considers not only the individual-level performance of a DMU but also the group-level or collective decision strategies.

Sign in / Sign up

Export Citation Format

Share Document