112 research outputs found
A Productivity analysis of Eastern European banking taking into account risk decomposition and environmental variables
No full textThis paper develops a new Luenberger productivity which is applied to a technology where the desirable and undesirable outputs are jointly produced and are possibly negative. The components of this Luenberger productivity index - the efficiency change and the components of the technological shift - are then decomposed into factors determined by the technology, adjusted for ‘risk and environment’, ‘risk management’ and ‘environmental effects’. The method is applied to Central and Eastern European banks operating during 1998–2003 utilising three alternative input/output methodologies (intermediation, production and profit/revenue). Additionally, the comparative analysis of the sensitivity of the productivity indices in the choice of the methodologies is undertaken using statistical and kernel density tests. It is found that the main driver of productivity change in Central and Eastern European banks is technological improvement, which, in the beginning of the analysed period, hinged on the banks’ ability to capitalise on advanced technology and successfully take into account risk and environmental factors. Whereas, in the later sampled periods, we show that one of the most important factors of technological improvement/decline is risk management. Finally, the tests employed confirm previous findings, such as Pasiouras (2008) in this journal, that different input/output methodologies produce statistically different productivity results. Indeed, we also find that external factors, such as a risk in the economy and banking production, and a ‘corruption perception’ affect the productivity of banks.Luenberger productivity index; DEA; banking; undesirable outputs; negative data.
Accounting for environmental factors, bias and negative numbers in efficiency estimation: A bootstrapping application to the Hong Kong banking sector
No full textThis paper examines the evolution of Hong Kong’s banking industry’s technical efficiency, and its macroeconomic determinants, during the period 2000-2006 through the prism of two alternative approaches to efficiency estimation, namely the intermediation and production approaches. Using a modified (Sharp, Meng and Liu, 2006) slacks-based model (Tone, 2001), and purging the efficiency estimates for random errors (Simar and Zelenyuk, 2007) , we firstly analyse the trends in bank efficiency. We then identify the ‘environmental’ factors that significantly affect the efficiency scores using an adaptation (Kenjegalieva et al. 2009) of the truncated regression approach suggested by Simar and Wilson. 2007). The first part of the analysis reveals that the Hong Kong banking industry suffered a severe downturn in estimated technical efficiency during 2001. It subsequently recovered, posting average efficiency scores of 92 per cent and 85 percent under the intermediation and production approaches respectively by the end of 2006. As for the sub-group analysis, commercial banks are, on average, shown to be the most efficient operators, while the investment bank group are shown to be the least efficient. Finally, with respect to the truncated regression analysis, the results suggest that smaller banks are more efficient than their larger counterparts, although larger banks are still able to enjoy gains from scale economies and benefit from the export of financial services. Moreover, private housing rent and the net export of goods and services are found to be negatively correlated with bank efficiency, while private consumption is shown to be positively correlated.Hong Kong Banks; DEA; Slacks; Environmental factors, Negative numbers; Bias.
Banking Efficiency and Stock Market Performance: An Analysis of Listed Indonesian Banks
No full textThis paper examines the monthly efficiency and productivity of listed Indonesian banks and their market performance through the prism of two modelling techniques, efficiency and super-efficiency, over the period January 2006 to July 2007. Within this research strategy we employ Tone’s (2001) non-parametric, Slacks-Based Model (SBM) and Tone’s (2002) super-efficiency SBM combining them with recent bootstrapping techniques, namely the non-parametric truncated regression analysis suggested by Simar and Wilson (2007). In the case of the SBM efficiency scores, the Simar and Wilson methodology was adapted to two truncations, whereas in the super-efficiency framework the original technique was utilised. As suggested by neo-classical theory, we find that the stock market values banks in accordance with their performance. Moreover, it is found that the JCI index of the Indonesian Stock Exchange is positively related to bank efficiency. Another interesting finding is that the coefficient for the share of foreign ownership is negative and statistically significant in the super-efficiency modelling. This suggests that Indonesian banks with foreign ownership tend to be less efficient than their domestic counterparts. Finally, Malmquist productivity results suggest that, over the study’s horizon, the sample banks displayed volatile productivity patterns in their profit-generating operations.Indonesian Banking, Emerging Markets, Productivity, Efficiency.
Efficiency in Indonesian Banking: Recent Evidence
No full textIn one of the first stand-alone studies covering the whole of the Indonesian banking industry, and utilising a unique dataset provided by the Indonesian central bank, this paper analyses the levels of intermediation-based efficiency obtaining during 2007. Using Tone’s (2001) input-oriented, non-parametric, slacks-based DEA model, and modifying it where necessary to deal with negative inputs and outputs (Sharp et al. 2006), we firstly estimate the relative average efficiencies of Indonesian banks, both overall, and by group, as determined by their total asset size and status. In the second part of the analysis, we adopt Simar and Wilson’s (2007) bootstrapping methodology to eliminate the ‘bias’ in the efficiency estimates and to formally test for the impact of size and status on Indonesian bank efficiency. The results from the initial analysis show that: (i) average bank efficiency within the industry during 2007 lay between 62% – 67%; (ii) the most efficient group of banks was the ‘state-owned’ group with an average efficiency score of over 90%, with the least efficient group being the ‘regional government-owned’ banks with average efficiency scores between 45% and 58%; (iii) ‘listed banks’ performed better, on average, than ‘non-listed banks’; and (iv) ‘Islamic banks’, despite their different operational structure when compared with conventional banks, enjoyed average efficiency scores between 54% and 74%. In the second stage of the analysis, the bias-corrected efficiency scores demonstrate that ‘regional government-owned’, ‘foreign exchange’, ‘non-foreign exchange’, ‘joint-venture’ and ‘foreign’ groupings were significantly less efficient than ‘state-owned’ banks, with the first-mentioned being the most inefficient and the other groupings ranked in ascending order of efficiency, as listed. Moreover, large banks were shown to be more efficient than their smaller counterparts, providing support for Bank Indonesia’s consolidation policies.Indonesian Finance and Banking; Efficiency.
A New Approach to Dealing With Negative Numbers in Efficiency Analysis: An Application to the Indonesian Banking Sector
No full textIn one of the first stand-alone studies covering the whole of the Indonesian banking industry, and utilising a unique dataset provided by the Indonesian central bank, this paper analyses the levels of intermediation-based efficiency obtaining during the period 2003-2007. Using a new approach (i.e., semi-oriented radial measure Data Envelopment Analysis, or ‘SORM DEA’) to handling negative numbers (Emrouznejad et al., 2010) and combining it with Tone’s (2001) slacks-based model (SBM) to form an input-oriented, non-parametric SORM SBM model, we firstly estimate the relative average efficiencies of Indonesian banks, both overall, by group, as determined by their ownership structure, and by status (‘listed’/’Islamic’). For robustness, a range-directional (RD) model suggested by Silva Portela et al. (2004) was also employed to handle the negative numbers. In the second part of the analysis, we adopt Simar and Wilson’s (2007) bootstrapping methodology to formally test for the impact of size, ownership structure and status on Indonesian bank efficiency. In addition, we formally test the two models most widely suggested in the literature for controlling for bank risk – namely, those involving the inclusion of provisions for loan losses and equity capital respectively as inputs – to check the robustness of the results to the choice of risk variable. The results demonstrate a high degree of sensitivity of the average bank efficiency scores to the choice of methodology for handling negative numbers – with the RD model consistently delivering efficiency scores some 14% on average above those from the SORM SBM model – and to the choice of risk control variable under the RD model, but only a limited sensitivity to the choice of risk control variable under the SORM SBM model. With respect to group rankings, most model combinations find the ‘state-owned’ group to be the most efficient, with average overall efficiency levels ranging between 64% and 97%; while all model combinations find the ‘regional government-owned’ group to be the least efficient, with average overall efficiency levels ranging between 41% and 64%. As for the impact of bank ‘status’ on the efficiency scores, both the Islamic banks and the listed banks perform better than the industry average in the majority of model combinations. Finally, the results for the impact of scale on the efficiency scores are ambiguous. Under the RD model, and irrespective of the choice of risk control variable, size is very important in determining intermediation-based efficiency. Under the SORM SBM model, however, large banks’ performance is not significantly different from that of the medium-sized banks when equity capital is used as the risk control variable, although the medium-sized banks do out-perform small banks. Moreover, when loan loss provisions are used as the risk control variable, medium-sized banks are shown to significantly out-perform both large and small banks, with the large banks being the least efficient.Indonesian Finance and Banking; Efficiency.
Efficiency and Malmquist Indices of Productivity Change in Indonesian Banking
No full textIn this study we utilise a non-parametric, slacks-based model (SBM) approach to analyse efficiency and productivity changes for Indonesian banks over the period January 2006 to July 2007. Efficiency scores and Malmquist productivity indices are estimated using the approach for efficiency and super-efficiency estimation suggested by Tone (2001, 2002). Additionally, the Malmquist indices are decomposed into technical efficiency change and technological shift components. Using monthly supervisory data provided by Bank Indonesia we find that, under the intermediation approach to efficiency estimation, average bank efficiency was reasonably stable during the sample period, ranging between 70% and 82%, with 92 of the 130 banks in existence at that time having efficiency scores of over 70%, including 10 with (super)efficiency scores above unity. We also find that technical efficiencies under the Intermediation approach to describing the banking production process are relatively stable. Malmquist results for the industry suggest that the main driver of productivity growth is technological progress. A strategy based on the gradual adoption of newer technology, according to our results, thus seems to have the highest potential for boosting the productivity of the financial intermediary operations of Indonesian banks.Indonesian Finance and Banking; Productivity; Efficiency.
Rubric Authoring Tool for Supporting the Development and Assessment of Cognitive Skills in Higher Education
No full textThis paper explores a method to support instructors in assessing cognitive skills in their course, designed to enable aggregation of data across an institution. A rubric authoring tool, ‘BASICS’ (Building Assessment Scaffolds for Intellectual Cognitive Skills) was built as part of the Queen’s University Learning Outcomes Assessment (LOA) Project. It provides a workflow for assessment choices and generates an assessment rubric that can be tailored to individual needs based on user input. The dimensions and criteria in BASICS were adapted from the Valid Assessment of Learning in Undergraduate Education (VALUE) rubrics, and drew on annotations from over 900 work samples from the LOA project. This paper summarizes the development of the tool, and presents initial reliability and validity data from a pilot study. The pilot found that the BASICS developed rubric was consistent for the assessment of critical thinking and problem solving. The pilot compared assessment data derived from course Teaching Assistants with that of trained Research Assistants. Analysis found moderate intraclass correlation coefficients between the BASICS rubric and corresponding VALUE rubric dimensions, suggesting that the BASICS rubric aligned with the VALUE criteria. Preliminary findings suggest that BASICS is an effective tool for instructors to author rubrics, tailored to their own specifications for assessment of cognitive skills in a course. It is also promising as a method for aggregation of data across the institution. Researchers are conducting further investigation to evaluate the reliability of BASICS rubrics over multiple work samples from a range of disciplinary contexts
Results of SIMPER analysis on the percent cover of benthic categories (square root – arcsine transformed, Bray-Curtis similarity matrix), testing dissimilarity between regions (Palm, Whitsunday, Keppel) and between NTMR and Non-NTMR zones within regions during 2009.
No full text<p>Only benthic categories that accounted for at least 10% of the dissimilarity are included.</p><p>Results of SIMPER analysis on the percent cover of benthic categories (square root – arcsine transformed, Bray-Curtis similarity matrix), testing dissimilarity between regions (Palm, Whitsunday, Keppel) and between NTMR and Non-NTMR zones within regions during 2009.</p
UHS Senior Class
No full textThe photographs were taken for the 1950 edition of the Uintah High School yearbook. They are on page 81. The subjects of this page are some of the members of the Senior Class. In no particular order: Merlin Norton, Karen Simper, DeLaine Watkins, Leland Smith, Belva Perry, Merne Swett, Lorin Richens, Alan Hatch, Barbara Wilson, Richard Knight, Trevier Harrison, Ileene Gardiner, Verdin Goodrich, Verne Moore, Glenda Rae H. Brown, Wade Stewart, Nellie Roberts, and Richard Ingram
The measurement of English and Welsh police force efficiency: A comparison of distance function models
No full textEngland, UK.. Since the Labour government came to power in 1997, it has introduced a regime whereby public services are accountable in respect of best value performance indicators (BVPIs). A recent Public Services Productivity Panel (PSP) (2000) report has developed a set of criteria whereby the economic analysis of police force efficiency by the Home Office is to be made standard. In this paper we utilise an innovative distance function strategy in contrast to the standard efficiency techniques (Data Envelopment Analysis and Stochastic cost Frontier Analysis) advocated in PSP (2000). We present results from four differen
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