Evaluating productive efficiency:comparative study of commercial banks in Gulf countries

Financial institutes are an integral part of any modern economy. In the 1970s and 1980s, Gulf Cooperation Council (GCC) countries made significant progress in financial deepening and in building a modern financial infrastructure. This study aims to evaluate the performance (efficiency) of financial institutes (banking sector) in GCC countries. Since, the selected variables include negative data for some banks and positive for others, and the available evaluation methods are not helpful in this case, so we developed a Semi Oriented Radial Model to perform this evaluation. Furthermore, since the SORM evaluation result provides a limited information for any decision maker (bankers, investors, etc...), we proposed a second stage analysis using classification and regression (C&R) method to get further results combining SORM results with other environmental data (Financial, economical and political) to set rules for the efficient banks, hence, the results will be useful for bankers in order to improve their bank performance and to the investors, maximize their returns. Mainly there are two approaches to evaluate the performance of Decision Making Units (DMUs), under each of them there are different methods with different assumptions. Parametric approach is based on the econometric regression theory and nonparametric approach is based on a mathematical linear programming theory. Under the nonparametric approaches, there are two methods: Data Envelopment Analysis (DEA) and Free Disposal Hull (FDH). While there are three methods under the parametric approach: Stochastic Frontier Analysis (SFA); Thick Frontier Analysis (TFA) and Distribution-Free Analysis (DFA). The result shows that DEA and SFA are the most applicable methods in banking sector, but DEA is seem to be most popular between researchers. However DEA as SFA still facing many challenges, one of these challenges is how to deal with negative data, since it requires the assumption that all the input and output values are non-negative, while in many applications negative outputs could appear e.g. losses in contrast with profit. Although there are few developed Models under DEA to deal with negative data but we believe that each of them has it is own limitations, therefore we developed a Semi-Oriented-Radial-Model (SORM) that could handle the negativity issue in DEA. The application result using SORM shows that the overall performance of GCC banking is relatively high (85.6%). Although, the efficiency score is fluctuated over the study period (1998-2007) due to the second Gulf War and to the international financial crisis, but still higher than the efficiency score of their counterpart in other countries. Banks operating in Saudi Arabia seem to be the highest efficient banks followed by UAE, Omani and Bahraini banks, while banks operating in Qatar and Kuwait seem to be the lowest efficient banks; this is because these two countries are the most affected country in the second Gulf War. Also, the result shows that there is no statistical relationship between the operating style (Islamic or Conventional) and bank efficiency. Even though there is no statistical differences due to the operational style, but Islamic bank seem to be more efficient than the Conventional bank, since on average their efficiency score is 86.33% compare to 85.38% for Conventional banks. Furthermore, the Islamic banks seem to be more affected by the political crisis (second Gulf War), whereas Conventional banks seem to be more affected by the financial crisis.

Corporate governance disclosure in the Gulf countries

Corporate governance disclosure is important for countries aiming to attract international investors and reduce companies’ cost of capital. The relationship between corporate governance disclosure (CGD) and its determinants is the main objective of the current research. Accordingly, the research aimed to: (i) assess CGD level in the Gulf countries; (ii) investigate the impact of ownership structure (proportion of institutional, governmental, managerial and family ownership) on CGD; (iii) explore the effect of board characteristics (proportion of independent board members, proportion of family members on board, CEO/chairman duality and board size) on CGD; (iv) examine the relationship between diversity (proportion of foreign and female members on a board and in the senior management team) and CGD; and (v) test the association between firm characteristics (company size, age, liquidity, profitability, leverage, industry and auditor types) and CGD. Gulf countries (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates) were selected for the study since they share similar characteristics and represent a relatively homogeneous category in the Middle East and North African region. A CGD index of 232 items was developed and divided into six categories: ownership structure and investor rights; financial transparency and information disclosure; information on auditors; board and senior management structure and process; board committees; and finally corporate behaviour and responsibility. Annual reports available for listed non-financial companies of the Gulf countries were 270 for the year 2009. The maximum CGD level was 63%, whereas the minimum was 5%, with an average disclosure level of 32%. Several regression models were conducted to enhance the robustness of the results and conclusions of the study. The results indicated that five variables had a significant positive relationship with CGD: proportion of independent members on a board, proportion of foreign members on a board, proportion of foreign members in the senior management team, auditor type and profitability. The research contributes to the literature on corporate governance voluntary disclosure in developing countries. Practical contributions consist of several recommendations to policy makers, regulators, and professional institutions in the Gulf countries.

Efficiency analysis of Islamic banks:a case of Gulf Cooperation Council (GCC)

Although considerable effort has been invested in the measurement of banking efficiency using Data Envelopment Analysis, hardly any empirical research has focused on comparison of banks in Gulf States Countries This paper employs data on Gulf States banking sector for the period 2000-2002 to develop efficiency scores and rankings for both Islamic and conventional banks. We then investigate the productivity change using Malmquist Index and decompose the productivity into technical change and efficiency change. Further, hypothesis testing and statistical precision in the context of nonparametric efficiency and productivity measurement have been used. Specially, cross-country analysis of efficiency and comparisons of efficiencies between Islamic banks and conventional banks have been investigated using Mann-Whitney test.