The Asian financial crisis in 1997 98 left a severe impact on Malaysia s economy and banking system. This has forced the Malaysian government to undertake financial restructuring initiatives to restore market and public confidence, and to meet the ongoing challenges associated with market structure, financial innovation and globalisation. Therefore, Bank Negara Malaysia (BNM) introduced a ten-year Financial Sector Master Plan (FSMP) to strengthen domestic banks and the regulatory structure, and to promote the banks efficiency by stimulating a competitive banking industry through financial liberalisation. The crisis for banks in Malaysia and the region has been extensively studied in the past (Sufian, 2010). However, empirical studies of the post-crisis period, and the implementation of the FSMP, remain limited. Hence, a data set of all banks in Malaysia, which covers the period 2000 2011, was employed to examine the effect of the FSMP s initiatives on Malaysian banks efficiency between 2000 and 2011. To measure this efficiency, this study employs both parametric and nonparametric models: namely, stochastic frontier analysis (SFA) and data envelopment analysis (DEA). Economic functions such as, cost-, standard profit- and alternative profit-efficiency were used in a 1-stage SFA model, which includes control variables (e.g. capital adequacy, asset quality and liquidity) and environmental variables (e.g. ownership, size, specialisation, deregulation periods and market structure) in the model specifications. In addition, this study employs SFA as the main measurement method, while the DEA model was used to cross-check consistency (Resti, 1997; Bauer et al., 1998). Both SFA and DEA demonstrated that, in most cases, the consistency was moderate. The level of cost efficiency of Malaysian banks worsened over the years 2000 2011, with average cost efficiency during this period was at 76.5%. Despite the various liberalisation measures introduced to the banking industry particularly during the three phases of the FSMP; 2000 2003; 2004 2007; 2008 2011 cost efficiency trended downward, due to the effects of consolidation by domestic banks, deregulation of interest rates, the introduction of foreign Islamic banks, and the global credit crisis. Banks in Malaysia were forced to adjust their inputs and outputs to the rapid changes in the banking industry, which might have made a negative impact on cost efficiency. On the other hand, the banks demonstrated a steadily increasing profit efficiency trend, which fluctuated with the introduction of interest rate liberalisation (early second phase of the FSMP (i.e. 2004)) and during the global credit crisis (early third phase of the FSMP (i.e. 2008)). The average profit efficiency for 2000 2011 was 93.3%. The profit efficiency exhibited an increasing trend in the first (2000-2003) and second (2004-2007) phases of the FSMP, suggesting that the effect of consolidation by domestic banks had resulted in higher market concentration and greater market power among the remaining banks. However, the profit efficiency average scores fell in 2004, 2008 and 2011. This is attributed to the deregulation of interest rates, the deleveraging of the inflow of foreign funds, and the rapid increase in policy interest rates. At a more granular level, domestic banks were found to be more cost efficient, but marginally less profit efficient, when compared to foreign banks. In terms of bank specialisation, conventional banks were more cost- and profit-efficient than Islamic banks. With regard to economies of scale, the majority of Malaysian banks revealed scale economies, illustrated by a U-shape, with medium-sized banks being more scale efficient than small and large banks. These results suggest that, to enhance Malaysian banks efficiency, the government must maintain competitive pressure on the large domestic banks that were consolidated during the first phase of the FSMP (2000-2003). Policymakers may want to further open up banking markets, improve risk management and governance, encourage financial innovation, and support expansion of smaller banks. The implementation of deregulation initiatives during periods of uncertainty (e.g. the global credit crisis) have also resulted in decreasing trend of cost and profit efficiency. Hence, monitoring initiatives, using tools such as frontier measurement is important for regulator s macro- and micro-prudential surveillance.

This thesis documents, using an unbalanced panel of Top 1000 World banks with observations for 2005 - 2009, three main aspects related to cost and profit efficiency in banking. First, it established that there is no correlation between a bank's rank in the Top and its rank given by the efficiency scores. However, the size of the banks plays a positive role on the cost efficiency of the institution, big banks having higher cost efficiencies than small banks. Conversely, the profit efficiency is equal across different sizes. Second, it verified that for 2005 - 2009 there is no evidence that banks from the developed countries are more efficient than banks from emerging economies. This finding is further supported by the third aspect, which shows that banks originating in the developed economies, with large exposures to more sophisticated banking products, have been hit the hardest by the financial crisis. However the banks managed to shrink their cost inefficiency while losing efficiency on the revenue side. The post crisis, 2009, proved to be a year in which banks across countries and regions converged in terms of efficiency and plateaued at about 10% and 25% for cost and profit inefficiency respectively.

This thesis investigates three major aspects of energy consumption rebound effects (RE) in three papers. More specifically, the issues addressed are (i) the magnitude of economy-wide rebound effect (ii) the role of energy policy instruments in mitigating it and (iii) its channels of impact. The research begins with the estimation of cross-country economy-wide rebound effects for a panel of 55 countries over the period 1980 to 2010. A two-stage approach is utilized in which energy efficiency is first estimated from a stochastic input distance frontier (SIDF). The estimated energy efficiency is then used in a second stage dynamic panel model to derive short-run and long-run RE for an array of developing and developed countries. The cross-country point estimates indicate substantial RE magnitudes across sampled countries during the period under consideration, although a positive and encouraging finding is the declining RE trend across most of the sampled countries during the study period. The second paper contains an RE benchmark for 19 EU countries, as well as an investigation of the effects of two energy policy instruments (energy taxes and ener-gy R&D) on RE performance over the period 1995 to 2010. The results indicate that RE performance improved over the sample period, reinforcing the results from paper one. In addition, there is also some evidence suggesting that binding market-based instruments such as energy taxes have been more effective in restricting RE than in-direct instruments such as energy R&D during the period under consideration. This is consistent across both estimated model specifications. An important observation from the first essay is the slightly larger average RE across the non-OECD countries. For this reason, the last empirical chapter evaluated the channels through which RE stimulated energy use across productive sectors of major developing/emerging economies, namely Brazil, Russia, India, Indonesia and China. To achieve this, the essay relied on duality theory to decompose changes in energy demand into substitution and output effects through the estimation of a trans-log cost function using data spanning 1995-2009. Findings reveal that energy use elasticities across sampled sectors/countries are dominated by substitution effects. One intriguing result that also emerges from this analysis is the role of economies of scale and factor accumulation, rather than technical progress, in giving rise to eco-nomic growth and energy consumption in these countries during the period under consideration.

This study veers from the traditional perspective of examining school efficiency or productivity as a cost minimizing process, in which educational inputs are minimized to achieve maximum outputs (student performance). Instead, it provides a critical examination of the dominant, cost minimizing assumption associated with efficiency models and suggest schools instead behave similarly to budget maximizers as presented in Niskanen’s (1971) seminal budget maximizing framework. The study examines the relationship between total student expenditures and subsequent student outcomes, establishing the relative efficiency of Texas school districts using stochastic frontier analysis within a budget-maximizing framework. Additionally, the study investigates how special education populations are structured within those districts deemed efficient or inefficient. The results of the study concluded that district efficient type did not result in different educational outcomes for students with disabilities. While analysis revealed that inefficient districts spend almost twice as much as efficient districts, no other significant differences were identified among districts type based on the percentage of students receiving special education or student performance. This study contributes to the growing need to identify more appropriate estimation techniques for measuring school productivity and how students with special needs should be included in the education productivity conversation.

Bibliographic note Papoušek Radan. Gravity model and efficiency of trade between China and EU countries: Visegrad group, Germany, Austria. Praha 2017. 87 p. Master's thesis (Mgr.) Charles University in Prague, Faculty of Social Sciences, Institute of Eco- nomic Studies. Supervisor: doc. Ing. Vladimír Benáček CSc. Character count: 115 210 Abstract The thesis analyzes bilateral trade between China and Visegrad group (V4), Austria, and Germany. I use panel data of 23 countries across 1995-2015 to esti- mate gravity model. I compare the countries among themselves (time-series view) and analyze the development of the crucial variables employed in the model (cross- sectional view). Further, I estimate efficiency scores based on stochastic frontier analysis (SFA). Connecting the findings from all three perspectives provides com- prehensive picture of the trade relations of the given countries with China. The thesis reveals that accession to EU was beneficial for trade between V4 and China. Global value chains (GVCs) also help to intensify the trade exchange between the European countries and China. I find that Austria and Germany exhibit higher effi- ciency scores for their exports mainly due to better positions in global value chains. V4's trade balance with China is very sensitive to the decisions of the international...

abstract: This dissertation consists of three essays, each examining distinct aspects about public organization adaptation to extreme events using evidence from public transit agencies under the influence of extreme weather in the United States (U.S.). The first essay focuses on predicting organizational adaptive behavior. Building on extant theories on adaptation and organizational learning, it develops a theoretical framework to uncover the pathways through which extreme events impact public organizations and identify the key learning mechanisms involved in adaptation. Using a structural equation model on data from a 2016 national survey, the study highlights the critical role of risk perception to translate signals from the external environment to organizational adaptive behavior. The second essay expands on the first one to incorporate the organizational environment and model the adaptive system. Combining an agent-based model and qualitative interviews with key decision makers, the study investigates how adaptation occurs over time in multiplex contexts consisting of the natural hazards, organizations, institutions and social networks. The study ends with a series of refined propositions about the mechanisms involved in public organization adaptation. Specifically, the analysis suggests that risk perception needs to be examined relative to risk tolerance to determine organizational motivation to adapt, and underscore the criticality of coupling between the motivation and opportunities to enable adaptation. The results further show that the coupling can be enhanced through lowering organizational risk perception decay or synchronizing opportunities with extreme event occurrences to promote adaptation. The third essay shifts the gaze from adaptation mechanisms to organizational outcomes. It uses a stochastic frontier analysis to quantify the impacts of extreme events on public organization performance and, importantly, the role of organizational adaptive capacity in moderating the impacts. The findings confirm that extreme events negatively affect organizational performance and that organizations with higher adaptive capacity are more able to mitigate those effects, thereby lending support to research efforts in the first two essays dedicated to identifying preconditions and mechanisms involved in the adaptation process. Taken together, this dissertation comprehensively advances understanding about public organization adaptation to extreme events. / Dissertation/Thesis / Doctoral Dissertation Public Administration and Policy 2020

Background: High-tech's rapid growth and prioritization of expansion over profitability can lead to vulnerability in economic downturns. The SaaS market, a part of the high-tech industry, offers affordable and flexible software solutions but is also susceptible to market volatility. To succeed, SaaS startups must strike a balance between growth and profitability. Stochastic frontier analysis can measure technical efficiency and productivity in the SaaS market, offering insights into resource and labor utilization. We present an empirical study that explores factors that influence a firm's profitability, aiming to inform decision-making for SaaS companies. Purpose: Our academic work is centered around gaining a comprehensive understanding of the Software-as-a-Service (SaaS) market and the role of labor and research and development expenses toexplore these factors and their influence on a firm's profitability. This study seeks to address this gap in knowledge by conducting an empirical analysis to examine the technical efficiency distribution among SaaS firms, with the aim of gaining insights into resource and labor utilization. By analyzing technical efficiency distribution among SaaS firms, the study will provide insights into resource and labor utilization and its effect on profitability. The research questions will focus on the relationship between technical efficiency, labor utilization, and production functions on profitability. Methodology: We utilized Model I - Cobb Douglas Panel Data Regression with Fixed Effects, Model II - Cobb Douglas Panel Data Stochastic Frontier Analysis using the Kumbhakar and Lovell (1990), and Model III - Transcendental Logarithmic Panel Data Cobb Douglas Stochastic Frontier Analysis using the Kumbhakar and Lovell (1990). These models allowed us to measure the technical efficiency of SaaS firms and examine the interplay between various variables, such as employee count and R&D expenseswith liabilities and assets as control variables. Results and analysis: The three models revealed that labor, assets, and R&D expenses positively and significantly affect profitability in SaaS firms. The SaaS industry also exhibits decreasing returns to scale in two models, suggesting that increasing all inputs proportionally leads to a less-than-proportional increase in output with the third model exhibiting an increasing return to scale. Also, top performers in technical efficiency tend to have higher marginal product of labor (MPL) values than bottom performers.Conclusions: Technical efficiency is positively correlated with profitability, indicating that more efficient SaaS firms achieve higher profitability levels. The relationship between technical efficiency and profitability is stronger when using the Translog model compared to the Cobb-Douglas model. The study also found that the factors contributing most to profitability in SaaS firms are the number of employees and assets, followed by research and development expenses.  Recommendations for future research: Further studies could explore the extent to which factors such as the quality of the workforce, technology, and business processes impact MPL and technical efficiency in SaaS firms. Additionally, future research could investigate the effects of market competition, firm size, and industry regulation on profitability in the SaaS industry. Finally, research could investigate the potential benefits of diversifying investment portfolios to include SaaS stocks, given the significant impact of labor, assets, and R&D expenses on profitability.

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For as long as managed mutual funds have been in existence there has been a desire to accurately assess their relative performance against each other, and also their respective performance in relation to an appropriate stock market index. There has been a specific interest in whether the expensive, professionally managed mutual funds can justify their high cost with respect to low cost, simple index trackers by producing superior, post-cost performance, and this proposition is implicitly tested within this thesis. The aim of this thesis is to undertake an empirical assessment of the managerial performance of mutual funds utilising a three-stage DEA-SFA-DEA methodology which combines linear mathematical programming (DEA) and stochastic frontier analysis (SFA). Specifically, this thesis focuses on evaluating the managerial performance of UK domiciled open-ended investment companies (OEICs) and unit trusts (UTs) over a three year period from 1st January 2008 to 31st December 2010. Various DEA models are utilised including CCR, BCC and SBM DEA models with various orientations, and also versions of these DEA models which make use of the SORM procedure. These are used to carry out an initial evaluation of the managerial performance of the OEICs/UTs, before two of these DEA models are combined with SFA regression analysis in a three-stage DEA-SFA-DEA methodology to purge the influence of environmental factors and statistical noise, thus leading to a more robust evaluation of the true managerial performance of the OEICs/UTs under assessment. The results of this thesis extend support to the premise of the Efficient Market Hypothesis (EMH) that financial markets are information efficient , and thus it is not possible, given the information available when the investment is made, to consistently obtain returns in excess of the average market return on a risk-adjusted basis, and this thesis does so through the use of a novel approach.

The aim of the thesis is to estimate the cost efficiency of the banks from the Czech Republic, Hungary, Poland, and Slovakia during 2008-2013 using stochastic frontier analysis. In addition to this, mutual relationships between the changes in banks' cost efficiency, risk- taking, and capital position are examined. First, the literature that is concerned with these relationships is reviewed and the stochastic frontier approach towards the efficiency estimation is outlined. In the empirical analysis, the cost efficiency of the banks from the aforementioned countries is estimated. The results suggest that the Czech and the Polish banks from the sample have the highest average cost efficiency while the Hungarian banks rank the lowest. The estimated efficiency is decreasing during the sample period. No conclusive results are found to support the hypothesis that the larger banks exhibit higher cost efficiency. Subsequently, the system of simultaneous equations is applied to test the mutual relationships between the changes in the banks' cost efficiency, risk-taking, and capital position. The results suggest a negative relationship between the changes in risk-taking and cost efficiency and between the changes in capital position and risk-taking of the banks. Moreover, the results do not indicate simultaneous...