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Demands for accountability in education are not a new phenomenon, however, they have increased significantly in the recent past and have encompassed not only educational outcomes but also efficiency. In this study, ratio measures, similar to those recommended by the GASB, were compared to measures of relative efficiency determined through the use of data envelopment analysis (DEA). The consistency of the two approaches in distinguishing between relatively efficient and inefficient school districts was examined. It was found that compared to the DEA approach, the ratio measures, may be unable to provide reliable information for educational decision making.

This paper examines the financial ratios that may have a significant effect on the efficiency in Malaysian listed companies. Nine financial ratios measure seven variables which are firm visibility, tangibility, working capital, leverage, liquidity, productivity and profitability.

Data are collected from 108 public listed companies in Malaysia. The data extracted from companies' annual reports for three years 2012–2014. STATA software analysis is used to examine these relationships.

The results show each of tangibility and liquidity have negative relationships with efficiency ratio. In against of that, profitability, working capital and productively positively link to efficiency. Leverage which is measured by two ratios – Debt ratio and Debt equity ratio – shows mix results. Debt ratio shows a positive but not significant relationship with efficiency ratio and Debt equity ratio shows a negative significant relationship with efficiency ratio.

The results benefit companies, investors, economists and governments regulators in Malaysia-to understand the efficiency determinants, so help to make the right decision to enhance the efficiency level in companies which leads to enhance the amount of investments which in turn, enhance the country's economy in general.

This study differs than previous studies number of aspects: first the study covers a three years' period between 2012 and 2014, this period presents the movement of Malaysian current into depreciation with more than 45 percent of its value. Second, in the Malaysia context, this study examines new variables such as firm visibility, tangibility, and productivity. Third, the results of this study will help managers, shareholders, investors, regulators and other parties to make right decisions that will enhance the level of firm efficiency which enhances the investments and the economy of Malaysia.

We examine whether loan securitization has an impact on bank efficiency. Using a sample of large US commercial banks from 2002 to 2012, we find that bank loan securitization has a significant and positive impact on bank efficiency, and this relationship is stronger for banks with higher capital ratios, higher default risk, and lower level of liquidity and diversification. Our results are robust to Heckman self-selection correction and difference-in-difference (DID) analysis. In addition, these results are found mainly in non-mortgage loan securitizations but not in mortgage loan securitizations. Finally, we show that loan sales also have a positive impact on bank efficiency.

This paper seeks to model and evaluate the comparative operating efficiency of banks using a non‐parametric methodology known as the data envelopment analysis (DEA). The paper adopts a modified version of DEA in which no inputs are specified. The only variables considered are the financial ratios. The results obtained suggest that the majority of banks investigated are fairly inefficient over the period 1991‐94. In addition to calculating efficiency scores for all banks in the sample, the study results revealed the composite reference set and their shadow prices, major determinants of banks’ relative performance, and the target financial ratios.

This paper aims to develop and utilize a conceptual framework to examine the impact of liquidity and solvency on cost efficiency for a sample of Kansas farms.

A standard cost-efficiency model is modified to incorporate liquidity and solvency ratios. Tobit regressions are used to determine the impact of farm characteristics on improvements in efficiency.

Results confirm that liquidity and solvency measures have a significant impact on improving cost efficiency. Farms with larger expenditures on purchased inputs relative to capital were less likely to improve efficiency when liquidity and solvency were considered.

To the authors' knowledge, the paper is the first to add liquidity and solvency ratios to the cost-efficiency model developed by Färe et al. for the analysis of farms.

When bank managers are asked to comment on the bank’s performance over the past year, most would quote either their bank’s return on equity or return on assets. If these measures were higher than those of their peers, the bank is referred to as a high‐performance bank. The ratios involved are financial ratios and the main problem with this approach is its reliance on comparable ratios. To find suitable comparable standards (norms) is quite difficult, and when the standard (norm) is not appropriate, the comparison may mislead the analyst. A measurement tool that can compensate for the weaknesses in financial ratios is therefore needed. One such tool that can be used to measure bank performance is Data Envelopment Analysis (DEA). The objective of this article is to draw a comparison between the results of financial ratios (as a conventional performance measurement) and the results obtained by means of DEA with regard to the performance evaluation of the ten regional offices of one of South Africa’s larger banks.

The purpose of this paper is to examine the interrelationships among default risk, capital and efficiency of the Indian banking system over 1990-2011. This study also took into account the impact of ownership on these interrelationships

This paper employed Data Envelopment Analysis (DEA) Windows Analysis to estimate efficiency levels and trends of individual banks. This paper then used a model of seemingly unrelated regression equations (SURE) to examine the interrelationships among default risk, capital and efficiency.

This study found a two-way negative association between efficiency and default risk, and between capital ratio and default risk. However, this study found a two-way positive relationship between capital ratio and only profit efficiency. Public banks behaved differently from private banks regarding the association between capital and efficiency. Moreover, public banks had greater probability of default risk, lower capital ratio but higher efficiency level than private banks. Further, default risk, capital ratio and efficiency of the Indian banking system increased over time, but the two formers were driven by public banks while the latter was driven by private banks.

The findings of this study appear to favour capital ratio as an efficient tool to improve efficiency and reduce default risk of the Indian banking system.

This paper is the first investigating the interrelationships between bank risk, capital and efficiency of the Indian banking system, where bank risk is measured by Z-score value and efficiency is captured by cost, revenue and profit efficiencies, and then considering the impact of agency issues on these interrelationships.

The purpose of the current study is to examine the implications of the implementation of Goods and Service Tax (GST) on the revenue efficiency of the sub-national governments in India. Furthermore, the study aims to compare the revenue efficiency of the Indian states for the pre-GST and post-GST periods in India.

The study has used the annual revenue of value-added tax (VAT)/GST of the Indian states for the period ranging from 2012–2013 to 2020–2021 for the pre- and post-GST periods. The empirical results are based on the panel regression model for examining the implications of GST adoption on the Indian states.

The analysis shows that the implementation of GST in India has negatively impacted the revenue efficiency of the Indian states. Moreover, the results affirm that the contribution of the service sector to the state's Net State Domestic Product (NSDP), credit-deposit ratio (CDR) and outstanding net bank credit (ONBC) ratio of schedule commercial banks (SCBs) positively and states' dependency on central transfers (DCT) negatively impact the tax revenue efforts of the state governments. Furthermore, the GST adoption has a greater impact on the revenue efficiency of the minor states in comparison to major states which may widen the inter-state disparity gap as GST revenue constitutes a major share in the Own Tax Revenue (OTR) of the Indian states in aggregate.

The current study will act as a guide for government, policymakers and for the sitting of the fifteenth finance commission in India for future policy formulation on GST and compensation to the Indian states. Similarly, this study can be used as a base for conducting future studies on the implications of GST at the national, sub-national, and international levels.

Previous studies on the implications of GST are theoretical and conceptual. There is hardly any study at the national or sub-national level that has focused on the implications of GST on the revenue efficiency of the Indian states.

Offshore industries encounter severe production downtime due to high liquid carryovers in the T-junction. The diameter ratio and flow regime can significantly affect the excess liquid carryovers. Unfortunately, regular and reduce T-junctions have low separation efficiencies. Ansys as a commercial computational fluid dynamics (CFD) software was used to model and numerically inspect a novel diverging T-junction design. The purpose of diverging T-junction is to merge the specific characteristics of regular and reduced T-junctions, ultimately increasing separation efficiency. The purpose of this study is to numerically compute the separation efficiency for five distinct diverging T-junctions for eight different velocity ratios. The results were compared to regular and converging T-junctions.

Air-water slug flow was simulated with the help of the volume of the fluid model, coupled with the K-epsilon turbulence model to track liquid-gas interfaces.

The results of this study indicated that T-junctions with upstream and downstream diameter ratio combinations of 0.8–1 and 0.5–1 achieved separation efficiency of 96% and 94.5%, respectively. These two diverging T-junctions had significantly higher separation efficiencies when compared to regular and converging T-junctions. Results also revealed that over-reduction of upstream and downstream diameter ratios below 0.5 and 1, respectively, lead to declination in separation efficiency.

The present study is constrained for air and water as working fluids. Nevertheless, the results apply to other applications as well.

The proposed T-junction is intended to reduce excessive liquid carryovers and frequent plant shutdowns. Thus, lowering operational costs and enhancing separation efficiency.

Higher separation efficiency achieved by using diverging T-junction enabled reduced production downtimes and resulted in lower maintenance costs.

A novel T-junction design was proposed in this study with a separation efficiency of higher than 90%. High separation efficiency eliminates loss of time during shutdowns and lowers maintenance costs. Furthermore, limitations of this study were also addressed as the lower upstream and downstream diameter ratio does not always enhance separation efficiency.

This paper aims to present two-stage network models in the presence of stochastic ratio data.

Black-box, free-link and fix-link techniques are used to apply the internal relations of the two-stage network. A deterministic linear programming model is derived from a stochastic two-stage network data envelopment analysis (DEA) model by assuming that some basic stochastic elements are related to the inputs, outputs and intermediate products. The linkages between the overall process and the two subprocesses are proposed. The authors obtain the relation between the efficiency scores obtained from the stochastic two stage network DEA-ratio considering three different strategies involving black box, free-link and fix-link. The authors applied their proposed approach to 11 airlines in Iran.

In most of the scenarios, when alpha in particular takes any value between 0.1 and 0.4, three models from Charnes, Cooper, and Rhodes (1978), free-link and fix-link generate similar efficiency scores for the decision-making units (DMUs), While a relatively higher degree of variations in efficiency scores among the DMUs is generated when the alpha takes the value of 0.5. Comparing the results when the alpha takes the value of 0.1–0.4, the DMUs have the same ranking in terms of their efficiency scores.

The authors innovatively propose a deterministic linear programming model, and to the best of the authors’ knowledge, for the first time, the internal relationships of a two-stage network are analyzed by different techniques. The comparison of the results would be able to provide insights from both the policy perspective as well as the methodological perspective.