DEA WINDOW ANALYSIS FOR INDONESIAN ISLAMIC BANKS’ EFFICIENCY

This study measures the efficiency of Islamic banks in Indonesia using Data Envelopment Analysis (DEA) window methods for 14 Indonesia’s Islamic banks covering the period spanning from 2011 to 2020.. The results show that the efficiency of Islamic banks averages 80% and exhibits increasing trend over the period 2011-2020. Based on stability measures, which are standard deviation (SD), Long Distance per Window (LDW), Long Distance per Period (LDP), and Long Distance per Year (LDY), we find the efficiency of PT Bank BRI Syariah (BSI) and PT Bank Syariah Mandiri (BSI) to be relatively stable.

DEA Window Analysis Efficiency Measurement of Selected Nigerian Bank

This study analyzes the performance efficiency of six selected banks in Nigeria for the period 2010 – 2016. DEA window analysis was employed to establish the performance efficiency of the selected banks. The analysis is based on panel data for the period under review. The result of the DEA window analysis for the reviewed period showed that the average efficiency scores under constant returns to scale ranged from 84% to 91%. Under the variable returns to scale, the average efficiency scores ranged from 91% to 95%. The average inefficiency of the selected Nigeria commercial banks under the constant returns to scale model was in the range 9 – 16%. This inefficiency could be attributed to the excess of customers deposits on the balance sheet of the selected banks. The average scale efficiency for the banks was 93%. Guaranty Trust Bank was the most efficient bank on all measures. United Bank for Africa was the most inefficient bank under constant returns to scale and variable returns to scale. It was however, more scale efficient than three other banks, an indication that its inefficiency cannot be attributed to inappropriate scale size.

Two-Stage Super-Efficiency Slacks-Based Model to Assess China’s Ecological Wellbeing

As industrialization and urbanization in China have significantly increased ecological problems such as environmental pollution and resource waste, it has become important to be able to comprehensively assess ecological wellbeing performance (EWP) when seeking high-quality human wellbeing and economic growth within specific ecological limits. Therefore, to explore the EWP spatial and temporal distribution characteristics, this paper established an evaluation index system that considers ecological economic efficiency and economic welfare efficiency from input and output perspectives. The EWPs in 30 Chinese provinces (autonomous regions, municipalities) from 2006 to 2017 were then measured using a two-stage super-efficiency slacks-based model (Super-SBM) and data envelopment analysis (DEA) window analysis method. It was found that: (1) the average EWP value in the Chinese provinces was relatively low at 0.698, with the highest EWP in Beijing, Hainan, and Shanghai and the lowest in Xinjiang, Ningxia, and Qinghai; (2) the average provincial EWP fluctuated from 2006 to 2017 with a “decline-rise-decline-rise” feature; (3) China’s EWP value was spatially supported by the quadrangular “Beijing-Shanghai-Hainan-Sichuan” pole and continued to radiate to areas along these lines. These research findings provide theoretical insights and practical implications for regional ecological protection and human welfare improvements in China.

DEA Window Analysis of Insurance Sector Efficiency in the Republic of Serbia

Insurance market is characterized by growing competition. This has imposed needs relating to the continuous capacity building of insurance companies, the continuous improvement of operating results and the assessment of the effects of insurers’ financial investment. The ultimate goal of these activities is to implement the planned goals and achieve positive business results. It is evident that the financial stability and efficiency of the insurance sector strengthens the confidence of citizens in this type of financial intermediaries. Bearing in mind the importance of the insurance sector for the financial system and economic system growth and development, the research subject is the analysis of the insurance sector efficiency in the Republic of Serbia. The main research objective is to look at the insurance sector efficiency through the performance analysis of nine selected insurance companies in the period 2007-2018, using DEA window analysis. The analysis and systematization of theoretical research findings, along with empirical data interpretation, description and comparison yielded results pointing to very poor performance of the insurance sector as a whole, because in all years of the observed period the relative average efficiency (technical, pure technical and scale efficiency) was below 100%, especially in the period 2015-2018.

DEA window analysis and Malmquist index to assess efficiency and productivity in the Spanish electricity sector

Purpose The purpose of this paper is to demonstrate that overcapacity and tariff deficit (external constraints) negatively affect the efficiency of distribution firms in the Spanish electricity sector. To do this, the paper is based on the theory of constraints and theory of economic regulation. Design/methodology/approach Data envelopment analysis (DEA) window methodology is carried out on the constant scales (I-C) with a sample consisting of five main distribution firms during the period from 2006 to 2015. In turn, an analysis of the Malmquist index is carried out to assess whether it has had a displacement with respect to the efficiency frontier. Findings The results show that the overcapacity and the tariff deficit negatively affect the efficiency of the distribution firms of the Spanish electricity sector. In addition, there is an existence of external constraints that affect the activities of regulated organisations and the importance of adequate legislation in regulated sectors. Originality/value This study defines a model that shows how the efficiency problems associated with electricity distribution companies such as productive overcapacity or tariff deficit can be measured based on the theory of constraints and theory of economic regulation.

Assessing the relative efficiency of commercial banks in the Republic of North Macedonia: DEA window analysis

The aim of this paper is to assess the relative efficiency of commercial banks in one developing country, i.e. the Republic of North Macedonia by using the data envelopment analysis (DEA) technique-window analysis. The selection of inputs and outputs plays a key role when applying DEA for assessing the efficiency of decision-making units (DMUs). In the conducted research two inputs and two outputs have been selected. The sample consists of 14 commercial banks and the period that is being observed is an eleven year span from 2007 to 2017. According to the average efficiency score for the whole observed period, the most efficient bank belongs to the group of large banks, which simultaneously shows the highest efficiency. The banking sector in the Republic of North Macedonia, as a whole, showed the highest efficiency in 2007, and the lowest efficiency in 2011.