Competition and efficiency in the non-life insurance market in South Africa

2016 ◽  
Vol 43 (6) ◽  
pp. 882-909 ◽  
Author(s):  
Abdul Latif Alhassan ◽  
Nicholas Biekpe
Keyword(s):  
Life Insurance ◽  
Fixed Effects ◽  
Stochastic Frontier Analysis ◽  
Market Competition ◽  
Empirical Relationship ◽  
Insurance Market ◽  
Profit Efficiency ◽  
Content Type ◽  
Frontier Analysis ◽  
Regulatory Policies

Purpose The purpose of this paper is to examine the empirical effect of competition on cost and profit efficiency in the South African non-life insurance market in a three-stage analysis. Design/methodology/approach Using annual firm level data on 80 non-life insurance companies from 2007 to 2012, the authors first employ the stochastic frontier analysis (SFA) to estimate cost and profit efficiency scores. In the second stage, the authors measure insurance market competition using the Panzar-Rosse (P-R) H-statistics. In the final stage, the authors estimate a fixed-effects panel regression model which controls for heteroskedasticity to examine the effect of competition on the estimated efficiency scores. Firm size, diversification, age, risk, reinsurance and leverage are employed as control variables. Findings From the SFA, the authors find average cost and profit efficiency of 80.08 and 45.71 per cent, respectively. This suggests that non-life insurers have high levels of efficiency in cost and low efficiency in profit. The annual estimates of the P-R H-statistics also suggest that firms in the market earn revenues under conditions of monopolistic competition. The authors find a positive effect of competition on cost and profit efficiency to validate the “quiet-life” hypothesis which posits that competition improves efficiency. Practical implications Regulatory policies should be directed towards enhancing competition to improve on the low profit earning potential of firms in the non-life market. Originality/value To the best of the authors’ knowledge, this study presents the first application of a non-structural measure of competition to examine the empirical relationship between competition and efficiency in insurance markets.

Income diversification and bank efficiency in an emerging market

2015 ◽  
Vol 41 (12) ◽  
pp. 1318-1335 ◽  
Author(s):  
Abdul Latif Alhassan
Keyword(s):  
Linear Relationship ◽  
Stochastic Frontier Analysis ◽  
Emerging Market ◽  
Annual Data ◽  
Income Diversification ◽  
Profit Efficiency ◽  
Content Type ◽  
Frontier Analysis ◽  
Banking Markets ◽  
Non Linear

Purpose – The purpose of this paper is to explore the non-linear relationship between income diversification and efficiency of Ghanaian banks within the universal banking era. Design/methodology/approach – The stochastic frontier analysis (SFA) technique is employed on annual data of 26 Ghanaian banks from 2003 to 2011 to estimate cost and profit efficiency scores. In the second stage analysis, a tobit regression model is estimated to examine the empirical effect of diversification into non-interest generating activities on estimated cost and profit efficiency scores while controlling for other bank specific characteristics. Findings – The findings of the SFA reveal high levels of efficiency in cost compared with profit to reflect high inefficiencies on the revenue side. An analysis of efficiency scores by two categories of bank size suggests that large banks have high cost and profit efficiency compared to small banks. A non-linear relationship is found between income diversification and efficiency while size was also found to be important in enabling banks exploit the potential benefits of income diversification. Research limitations/implications – This study focuses on one banking market in Africa. A comparative analysis in a cross-section of banking markets in Africa will be useful to bring robustness to the findings of this study. Practical implications – The findings of this study provides useful insights for management on the best corporate model in ensuring that diversification activities are efficiency-enhancing. Originality/value – This study presents the first empirical evidence on the non-linear relationship between efficiency and income diversification in emerging banking markets in Africa.

Information technology and profitability: evidence from Indian banking sector

2018 ◽  
Vol 13 (5) ◽  
pp. 1070-1087 ◽  
Author(s):  
Sangita Dutta Gupta ◽  
Ajitava Raychaudhuri ◽  
Sushil Kumar Haldar
Keyword(s):  
Information Technology ◽  
Developing Countries ◽  
Banking Sector ◽  
Stochastic Frontier Analysis ◽  
Annual Reports ◽  
Future Research ◽  
Profit Efficiency ◽  
Content Type ◽  
Frontier Analysis ◽  
The Impact

Purpose Information Technology has transformed the banking sector with respect to various systems and processes. Banks have adopted various measures to quicken their business activity and also save cost and time. That is why there has been large requirement of IT in the banking sector. The question arises whether this investment is enhancing the profitability of the bank or not. The purpose of this paper is to examine the presence of profitability paradox in Indian Banking Sector. Design/methodology/approach Data are collected from ten nationalized banks and three private sector banks from 2006 to 2013. The impact of IT expenditure on return on assets and profit efficiency is examined. Profit efficiency is determined using Stochastic Frontier Analysis. Data are collected from annual reports of the banks. Data on IT expenditure are collected through Right to Information Act 2005. Correlation and Panel Regression are used to investigate the relationship between IT expenditure and ROE or Profit Efficiency. Findings The findings of the paper confirm the presence of profitability paradox in the Indian Banking sector. Research limitations/implications Extension of this study to other developing countries of the world will help to identify if any common pattern is there among the developing countries as far as productivity or profitability paradox is concerned. Originality/value There are some studies on the impact of IT on the banking sector in USA and Europe. This type of study however is rare in the context of India or for that matter other developing countries. Therefore, this paper will add new dimension to the existing literature and pave the way for future research in this area.

Economies of scale in European life insurance

2018 ◽  
Vol 19 (2) ◽  
pp. 190-207 ◽  
Author(s):  
Udo Klotzki ◽  
Alexander Bohnert ◽  
Nadine Gatzert ◽  
Ulrike Vogelgesang
Keyword(s):  
Life Insurance ◽  
Fixed Effects ◽  
Economies Of Scale ◽  
Insurance Markets ◽  
Fixed Effects Model ◽  
Content Type ◽  
Administrative Costs ◽  
Life Insurers ◽  
Acquisition Costs ◽  
The Uk

Purpose Due to the continuing low interest rate environment as well as the increase in acquisition costs, price transparency, cost transparency and competition with banks, the cost of life insurance becomes increasingly important for customers, insurers and shareholders. Against this background, the purpose of this paper is to study the development of insurers’ economies of scale in regard to administrative costs for four of the largest European life insurance markets. Design/methodology/approach The analysis on economies of scale is based on a comprehensive set of 477 life insurers in Germany, Italy, Spain and the UK, yearly data between 2000 and 2014, and regression calculations that are based on 4,855 observations. Findings The results show that economies of scale exist for all considered markets and for most of the considered years. However, the extent of economies of scale varies considerably across countries. Originality/value Overall, the existing academic literature on costs and corresponding economies of scale in life insurance primarily deals with analyses of total costs instead of administrative costs, a single year or a single market. This paper contributes to the existing literature by conducting an analysis of recent market dynamics and economies of scale in regard to administrative costs for the period from 2000 and 2014 for four of the largest European life insurance markets for which the respective data were available (Germany, Italy, Spain and the UK) and 477 life insurers in total. This is done by means of a log-log transformation of premiums and costs and a fixed effects model based on these transformed figures for 4,855 observations. In addition, for each market, the authors analyze the development of administrative costs for a total of 477 insurers.

Intellectual capital: a determinant of firms' operational efficiency

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kanishka Gupta ◽  
T.V. Raman
Keyword(s):  
Intellectual Capital ◽  
Stochastic Frontier Analysis ◽  
Stock Exchange ◽  
Stochastic Frontier ◽  
Value Added ◽  
Financial Sector ◽  
Operational Efficiency ◽  
Content Type ◽  
Frontier Analysis ◽  
The Impact

PurposeIntellectual capital (IC) has been recognized in improving the efficiency of businesses and gaining competitive edge in the developed world. The present study offers perspectives into the effect of IC on the efficiency of the Indian financial sector companies.Design/methodology/approachFor the purpose of evaluating efficiency, the research has used stochastic frontier analysis (SFA). All Indian financial sector companies listed in National Stock Exchange (NSE-500) for the timeframe of ten years (2008–2018) have been considered. The paper has employed modified Pulic's Value Added Intellectual Coefficient (VAICTM) as a proxy to measure IC. Correlation and panel data regression have been used in order to examine the relationship.FindingsThe results of the study indicate positive and significant relationship between IC and efficiency of the firm. The results also show that all the components of IC, that is, human capital, relational capital, process capital and capital employed have a significant impact on firms' efficiency. Additionally, it has been seen that sample companies do not invest in research and development leading to no innovation capital.Practical implicationsThe research will assist managers in managing and controlling the IC, investors in matters related to investment and financial experts in improving the company's IC and value creation.Originality/valueThe current research is one of the pioneering studies in the context of Indian financial sector that examines the impact of modified VAIC on operational efficiency calculated using SFA.

Confidentiality in loan credit agreements

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ca Nguyen ◽  
Alejandro Pacheco
Keyword(s):  
Fixed Effects ◽  
Market Competition ◽  
Least Square ◽  
Loan Pricing ◽  
Product Markets ◽  
Content Type ◽  
Public Firms ◽  
Loan Contracts ◽  
Loan Spreads ◽  
Corporate Loan

PurposeThis study has two primary objectives. First, it analyzes the information content of confidentiality strictness in corporate loan credit agreements. Second, it examines how confidentiality strictness impacts covenant design, lending syndicate structure and loan pricing.Design/methodology/approachUsing a sample of 6,327 loan credit agreements originated by US public firms in the period of 1996–2017, this study measures the confidentiality strictness in loan contracts using textual analyses that capture the appearance of confidentiality-related words and the length of confidentiality provision. All regressions include relevant loan characteristics, firm-specific accounting variables, industry and year fixed effects. To address the endogeneity concern, the paper uses borrowing firms' rival cash holdings and R&D expenditures to instrument for confidentiality strictness in two-staged least square regressions.FindingsBorrowers which have higher R&D and operate in more competitive product markets have tighter confidentiality policies. Furthermore, this study reveals that confidentiality strictness is negatively associated with the imposition of financial covenants, especially performance covenants. Loan contracts for borrowers with stricter confidentiality on average have more relaxed covenant intensity, measured by the number of covenants. The study also shows that stricter confidentiality attracts finance companies, which have strong expertise in product markets of their parent firms, into the lending syndicate. However, confidentiality-conscious borrowers with higher degree of information asymmetry are subject to higher loan spreads.Originality/valueThis study provides the first examination of confidentiality policies in loan contracts and supports the idea that loan provisions are not simply made of “boilerplate” language. The results suggest that, for confidentiality-sensitive borrowers, the greater exposure to product market competition helps control managerial slack and substitute monitoring from financial markets.

Technical efficiency of Microfinance Institutions (MFIs)

2016 ◽  
Vol 15 (3) ◽  
pp. 224-239 ◽  
Author(s):  
Bereket Zerai Gebremichael ◽  
Hailemichael Tesfay Gessesse
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Credit Unions ◽  
Microfinance Institutions ◽  
Ownership Type ◽  
Data Set ◽  
Content Type ◽  
Frontier Analysis ◽  
Significant Difference ◽  
Efficiency Performance

Purpose The paper aims to evaluate the technical efficiency of African Microfinance Institutions (MFIs) and examine if there is performance difference by ownership type. Design/methodology/approach The paper applies stochastic frontier analysis (SFA) assuming that the translog production functions to estimate the technical efficiency of 134 Microfinance Institutions operating in 36 African countries. The parametric SFA is preferred over the non-parametric, as it captures the random and inefficiency effects. Though the suitable approach is SFA, for the purpose of consistency and robustness of the results, the alternative data envelopment analysis (DEA) approach is also run and the results are compared with those derived from SFA. Findings In our analysis we have found that African MFIs are technically inefficient. The average technical efficiency for the sample institutions is 0.489, which is quite low and suggests that on average, African MFIs are achieving only 48.9 per cent of the maximum achievable output. Our results also revealed the presence of significant technical inefficiencies with considerable differences in inefficiency among the MFIs. Further, we found statistically significant difference in the efficiency performance among the different ownership types of MFIs. More importantly, the NGO and non-bank financial institutions are relatively more efficient, while the cooperatives/credit unions are the least efficient. Research limitations/implications The study contributes to the continuing debate on the effect of ownership type on performance of institutions. Moreover, it indicates the importance of using certain approaches and complementing them with other alternatives for a better insight. Practical implications The study found that the least efficient type of MFIs are the cooperatives/credit unions. This might be related to the nature of these institutions where the members are owners and borrowers. This might affect efficiency negatively, although it may somehow address the agency problem. Originality/value This paper provides an evidence on efficiency performance of African MFIs, taking a large data set and applying SFA. DEA was also used to complement the SFA results. It provides useful empirical evidence and perspective on this important issue for policy makers and analysts.

Impact of financial liquidity and solvency on cost efficiency: evidence from US banking system

2020 ◽  
Vol 37 (2) ◽  
pp. 391-410
Author(s):  
Kekoura Sakouvogui ◽  
Saleem Shaik
Keyword(s):  
Financial Crisis ◽  
Cost Efficiency ◽  
Stochastic Frontier Analysis ◽  
Banking System ◽  
Tobit Regression ◽  
Content Type ◽  
Frontier Analysis ◽  
Financial Liquidity ◽  
Domestic Banks ◽  
The Cost

Purpose The purpose of this paper is to evaluate the importance of financial liquidity and solvency on US commercial and domestic banks’ cost efficiency while accounting for internal and external factors. Design/methodology/approach The Stochastic Frontier Analysis and Data Envelopment Analysis estimators are used to estimate the cost efficiency of 11,044  US commercial and domestic banks from 2005 to 2017. Using Tobit regression model, the importance of financial liquidity and solvency on cost efficiency is examined. Findings The results provide evidence that the financial liquidity and solvency negatively impact the cost efficiency of US commercial and domestic banks. Overall, US commercial and domestic banks were inefficient during the financial crisis in comparison to the tranquil period. The importance of financial solvency on the cost efficiency was not statistically significant, while the financial liquidity negatively collapsed because of contagion. Finally, the results provide evidence that the amount of total assets matters in the improvement of the cost efficiency. Originality/value This paper estimates and identifies the 2007-2009 financial crisis with liquidity, solvency or both financial factors.

Performance analysis of electricity distribution sector post the implementation of electricity act 2003: empirical evidence from India

2020 ◽  
Vol 17 (5) ◽  
pp. 669-696
Author(s):  
Pavan Khetrapal
Keyword(s):  
Stochastic Frontier Analysis ◽  
Corporate Strategy ◽  
Unobserved Heterogeneity ◽  
Stochastic Frontier ◽  
Operational Efficiency ◽  
Electricity Distribution ◽  
Content Type ◽  
Frontier Analysis ◽  
Explanatory Variables ◽  
Utility Managers

PurposeThe objective of the present study is to evaluate and analyse the performance of Indian electricity distribution utilities post the implementation of landmark Electricity Act 2003.Design/methodology/approachStochastic frontier analysis (SFA) that incorporates exogenous influences on operational efficiency is adopted in the present study. Specifically, a stochastic frontier production function model with a technical inefficiency effects model (Battese and Coelli, 1995) is chosen as a preferred model. In this model, the function that explains the inefficiency scores is estimated in a single stage with the production technology. This avoids the problem of inconsistency which is possible in the two-stage approach.FindingsThe sample involved 52 Indian electricity distribution utilities for seven-year period from 2006 to 2013. Major findings of SFA show that Indian electricity distribution utilities post the implementation of Electricity Act (2003) had, on average, experienced efficiency improvement during the observed period. The overall mean technical effciency score is estimated as 78.5% which indicates that there exist wide scope for effciency improvement in the sector. Further, the empirical findings also indicate that publicly owned distribution utilities obtain average technical efficiencies of 71.3%, which is lower than privately owned distribution utilities, which achieve average technical efficiencies of 85.7%.Research limitations/implicationsPower supply quality indicators such as SAIFI, SAIDI, CAIFI, etc. and unobserved heterogeneity also influence the efficiency analysis of electricity distribution utilities. Hence, these parameters as explanatory variables can be incorporated in the future work.Practical implicationsThe results obtained from this empirical study would likely be helpful for utility managers and policymakers to know how well they are performing, and how a better corporate strategy a particular utility can formulate to improve its operational efficiency and also its position in the marketplace.Originality/valueThis paper is amongst the first significant attempts that implement SFA approach to the panel dataset over a longer period of time – 2006 to 2013, so, as to evaluate and analyse the operational efficiency of Indian electricity distribution utilities in a single framework after the enactment of Electricity Act (2003). Unlike previous studies, this study investigates the degree to which various exogenous (or environmental) factors influence efficiency levels in these utilities.

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