Grundskolan, som är en obligatorisk och viktig kommunal verksamhet, utgör ett exempel på då det är svårt att uppskatta reella resultatmått för att mäta och jämföra effektivitet, t ex till följd av reformer. Denna avhandling belyser utvecklingen av modeller för effektivitetsmätning inom ramen för en reform inom den offentliga sektorn, den s k stads-delsnämndsreformen (SDN-reformen) i Stockholms stad 1997. En grundläggande fråga för de ekonomiska vetenskaperna gäller utveck-ling av metoder för att bedöma effektivitet i olika verksamheter. I denna avhandling är effektivitetsbegreppet centralt. För att mäta effekter krävs mått som anger värdet av det som presterats i förhållande till värdet av de förbrukade resurserna. Möjligheterna att göra effektivitetsmätningar varierar mellan olika verksamheter. Det är svårt att mäta effektivitet hos många offentliga verksamheter och därmed att göra bra bedömningar av deras utveckling. Främst ligger svårigheten i att få goda och jämförbara mått på resultaten av en viss verksamhet. Mot bakgrund av de senare decenniernas reformering av den offentliga sektorn finns ett stort behov av modeller för att bedöma i vilken utsträckning dessa reformer lett till en ökad effektivitet. I studien undersöks effektivitetsförändringar i Stockholms stads grund-skolor i samband med SDN-reformen genom att mäta och beskriva effektivitet med hjälp av flera olika metoder. Tillvägagångssättet innebär att jämföra resultaten från metoderna och studera i vilken grad de pekar åt samma håll. Motivet är att belysa i vilken utsträckning resultaten ger samstämmighet. Då resultaten inte pekar åt samma håll analyseras tänkbara orsaker. En slutsats gällande den troliga effektivitetsför-ändringen ges. Avslutningsvis görs ett försök att med hjälp av SDN-reformen förklara denna utveckling. / <p>Sammanfattning på engelska med titeln: Effectiveness in compulsory school education following a district council reform. Diss. Stockholm : Handelshögskolan, 2003</p>

台灣1970年代以來經濟起飛，人民生活日漸富裕，隨著經濟實力成長，同時也犧牲了環境，為了使人類永續發展，人民開始重視環境保護，要求政府改善以維護生活品質。因此環保投入的效率成為重要的研究課題。 本研究目的以資料包絡分析法建立客觀的「投入-產出」模型，來評估2001年至2010年各縣市環保機關在空氣、噪音、水及廢棄物污染防制的續效表現，再分析各縣市環保機關整體績效，並研究四個環保評估面向影響整體環保績效的比例為何。 實證結果發現，整體績效而言，台北市、高雄市資源雖然多，但技術仍然不足以應付沉重的環境、人口負荷量，使得投入與產出的效率不如其他縣市。並由各環保面向績效的趨勢分析發現，資源回收率的效率進步最多，水污染防制效率最差。 Tobit迴歸模型中，四個環保評估面向對整體環保面向的影響為顯著正相關，而且資源回收率效率值對整體環保效率值的影響最大，符合本研究預期。 / This research aims at assessing environmental protection performance in Taiwan’s local governments about air pollution, noise pollution, water pollution and resource recycling from 2001 to 2010 base on DEA and Tobit regression model to analyze the effect of each part’s CCR on whole Environmental Protection efficiency. The result of DEA are (1)The Taipei city and Kaohsiung are good in input than other cities, but lower than other cities in output, because there are too many population to deal with those pollution. (2)Analyzing the trend of each environmental protection part, the resource recycling make great progress. According to this study, the fore evaluations are significantly positive effect on whole performance evaluation of environmental protection. The most value is resource recycling that meet our expected

iv In this study, an Analytic Network Process (ANP) and Data Envelopment Analysis (DEA) based approach was developed in order to measure the performance of customer-based Research and Development projects being executed in T&Uuml / BTAKSAGE, Defense Research and Development Institute, under the Scientific and Technological Research Council of Turkey. In order to evaluate project performance, many criteria, containing various subcriteria were determined. In order to handle the interdependencies among the criteria and the sub-criteria, ANP was used. The ANP model generated in this study is a hybrid model consisting of both a hierarchy and a network. The pairwise comparison matrices that were built up for defining the importance and influences of the criteria/sub-criteria in the ANP model were formed as interval judgments from a group decision making process, based on data obtained from a questionnaire conducted among the experts in the Institute. From the interval pairwise comparison matrices, weight intervals for the sub-criteria were determined and these bounds were used as assurance region constraints in a super-efficiency DEA model, through which the project ranking was obtained. Taking into consideration that there may occur some missing values in some projects for some of the sub-criteria, the superefficiency DEA model was extended to handle missing data. The model was applied to a real case study on performance evaluation of the ongoing customer-based projects in the Institute. For comparison purposes, the case study was also solved by two other approaches.

Disputats, Handelshögskolan, Stockholm, 2003.

D. Tech. Industrial Engineering. / Discusses purpose of this study is to derive a new model capable of advanced diagnosis and analysis of energy usage to determine the possible energy efficiency potential through the following in a single model: Analysis of industrial historical data; Prediction of the industrial energy baseline; Computation of the industrial energy efficiency; and Optimization of the industrial energy consumption usage. In this context, the development of a new model involves: Carrying out literature survey; Carrying out Mathematical Analysis of the dynamics of energy efficiency in an industry; Critically analyzing and testing existing models; Evolve a new and novel model; Test the model using data from specific industry; Apply the model to eleven industrial sectors in South Africa. This thesis on energy efficiency potential will be a milestone for different stakeholders, policymakers and decision makers in the energy sector at national and international levels who are, or will be interested in reducing energy input and still produce the observed output levels, by becoming technically efficient. The approach adopted by the study is the integration of Index Decomposition Analysis (IDA), Artificial Neural Network (ANN) and Data Envelopment Analysis (DEA) into a single model.This methodology combines modeling, which is at the core of an energy-management technique, with a wider interpretation of activity growth, structure and efficiency changes which contribute to changes in energy consumption.

面對全球ICT投資成長趨勢，帶來了資訊服務業的龐大商機，引起各資訊服務企業投入競爭，企業必須不斷強化競爭優勢，採行適當措施以調整企業本身體質。企業利用既有資源的互補、結合，可使企業毋須額外投入資源或投入有限資源情況下達到提升企業競爭力目的，稱為策略聯盟。 企業策略聯盟時，須同時考量企業內部經營績效與尋求外部聯盟的企業狀況，如何有效選擇聯盟合作企業，以及聯盟後是否能有效提升企業競爭力，實為當今企業管理者在面臨嚴苛經營環境必須面對專注的課題。 企業管理透過績效評估工具，可使管理者瞭解資源運用的效果，並可作為企業未來資源調配的參考，使企業資源運用能與經營目標結合。 灰預測(Grey Prediction)為根據過去簡單歷史資料即可準確推估未來，為衡量企業未來表現之科學評估方法；資料包絡分析法 (Data Envelopment Analysis，DEA)用於解決多投入多產出項問題，利用客觀計量運算及邏輯推導，於企業進行策略聯盟時，最適合應用此方法作為聯盟對象之選擇。 本研究建立台灣資訊服務業進行策略聯盟時之績效評估模式，提供管理者選擇最適聯盟對象之決策參考，藉以提升企業經營效率，強化競爭能力。 / The growing trend of global investments in ICT has brought enormous opportunities in the information service industry. Under this trend, companies must continue to strengthen their competitive advantages. The integration of existing and/or complementary resources across different companies through co-operation could allow an individual enterprise to limit resource input and therefore achieve better competitiveness. This concept is known as strategic alliances. To form a strategic alliance, a company must consider both internal operating performance and external business conditions. How to choose a partner and determine whether the alliance could effectively enhance the competitiveness of the business should be the focuses of today's business managers. Through the use of performance evaluation tools, the managers of an enterprise can understand the efficiency of resource utilization, which can in turn be used as a reference for future resource allocation. Company resources can therefore be applied to the business objectives of the enterprise more efficiently. Grey prediction is a scientific assessment method that can accurately estimate future simply based on historical data. It can therefore be used to estimate the future performance of the company. Data Envelopment Analysis (DEA) is a method that deals with multi-input and multi-output scenarios by using objective measurement of operations and logical deductions. When a business enterprise plans to form a strategic alliance, DEA is the most suitable method to be used to select a partner. This study establishes the performance evaluation model of strategic alliances between business enterprises within the IT service industry of Taiwan, and in turn provides business managers a useful reference for better decision-making, thus serves as an effective tool to help enhance business efficiency and competitiveness.

Este trabajo analiza el rendimiento académico de los estudiantes mediante la estimación de fronteras de eficiencia, método que permite distinguir el efecto de características del alumno y su entorno (edad, sexo, condición laboral, entre otros) del impacto de factores exógenos (características de la universidad, etc.). Entre los principales resultados, se encuentra que los alumnos que trabajan en tareas vinculadas a la carrera se ubican más cerca de la frontera de rendimientos, mientras que quienes trabajan en tareas no relacionadas se alejan de ella por factores ajenos a su comportamiento (por ejemplo, institucionales). Para los estudiantes que no trabajan, los resultados varían. / This paper analyses students' academic performance by estimating efficiency frontiers, a method that allows to distinguish the effect of characteristics of the student and his background (age, gender, employment status, among others) from the impact of exogenous factors (university characteristics, etc.). Among the main results, it is found that students who work in jobs related to their career lie closer to the performance frontier, whereas for those employed in other kinds of jobs, departures from the frontier are explained by factors beyond their behavior (e.g. institutional). For students who don't work, results are variable.

Financial institutions make use of a variety of delivery channels for servicing their customers. The primary channel utilised as a means of acquiring new customers and increasing market share is through the retail branch network. The 1990s saw the Internet explosion and with it a threat to branches. The relatively low cost associated with virtual delivery channels made it inevitable for financial institutions to direct their focus towards such new and more cost efficient technologies. By the beginning of the 21st century -and with increasing limitations identified in alternative virtual delivery channels, the financial industry returned to a more balanced view which may be seen as the revival of branch networks. The main purpose of this study is to provide a roadmap for financial institutions in managing their branch network. A three step methodology, representative of data mining and management science techniques, will be used to explain relative branch efficiency. The methodology consists of clustering analysis (CA), data envelopment analysis (DEA) and decision tree induction (DTI). CA is applied to data internal to the financial institution for increasing' the discriminatory power of DEA. DEA is used to calculate the relevant operating efficiencies of branches deemed homogeneous during CA. Finally, DTI is used to interpret the DEA results and additional data describing the market environment the branch operates in, as well as inquiring into the nature of the relative efficiency of the branch. / Thesis (M.Com. (Computer Science))--North-West University, Potchefstroom Campus, 2010.

Financial institutions make use of a variety of delivery channels for servicing their customers. The primary channel utilised as a means of acquiring new customers and increasing market share is through the retail branch network. The 1990s saw the Internet explosion and with it a threat to branches. The relatively low cost associated with virtual delivery channels made it inevitable for financial institutions to direct their focus towards such new and more cost efficient technologies. By the beginning of the 21st century -and with increasing limitations identified in alternative virtual delivery channels, the financial industry returned to a more balanced view which may be seen as the revival of branch networks. The main purpose of this study is to provide a roadmap for financial institutions in managing their branch network. A three step methodology, representative of data mining and management science techniques, will be used to explain relative branch efficiency. The methodology consists of clustering analysis (CA), data envelopment analysis (DEA) and decision tree induction (DTI). CA is applied to data internal to the financial institution for increasing' the discriminatory power of DEA. DEA is used to calculate the relevant operating efficiencies of branches deemed homogeneous during CA. Finally, DTI is used to interpret the DEA results and additional data describing the market environment the branch operates in, as well as inquiring into the nature of the relative efficiency of the branch. / Thesis (M.Com. (Computer Science))--North-West University, Potchefstroom Campus, 2010.

為了加入世界貿易組織，台灣早已自80年代逐步進行金融自由化的工作：早在1983年政府就擴大存放款利差，1984年允許銀行根據其個別情況制定基本放款利率並放寬本國銀行設立分行的家數與條件。然而金融自由化最重大的里程碑則是在1989年7月財政部修訂銀行法，開放新銀行設立並解除利率管制，自此之後台灣才真正成為金融自由化的國家。 本研究針對1986年到2002年的本國銀行，採用資料包絡分析法計算效率值，旨在探討台灣銀行業在開放新銀行設立前後的效率與生產力變動情形。不同於其他研究僅以年度為基礎來計算相對效率值，本研究使用「大邊界」的觀念建構出單一效率邊界，更能顯示出在一致的比較基礎上效率變動的趨勢。本研究的主要結果如下： 1.銀行業全體與開放前既存之舊銀行，在開放前的效率值均顯著大於開放後。至於開放後新舊銀行效率的比較，新銀行的整體技術效率與規模效率較高，舊銀行則在純技術效率上領先新銀行，但檢定結果僅有規模效率一項為顯著。 2.金控子銀行的效率值較非金控子銀行為高，顯示金控公司會挑選表現好的銀行作為合作夥伴。 3.在生產力分析部分，舊銀行開放後的總生產力仍小於開放前，儘管舊銀行在開放後的各項經營效率變動較開放前高，但因技術的大幅衰退以致整體生產力仍呈現衰退現象。顯示舊銀行雖然在效率上有所改善，但對於營運上的創新仍太過保守。 4.在Tobit迴歸分析的部分，股東權益報酬率、資產規模、流動準備率和效率值的關係為正向；分行家數、可控制費用、催收款比率和效率值的關係則為負向。 關鍵詞：銀行業、效率分析、資料包絡分析法、解除管制 / In order to join World Trade Organization, Taiwan has been gradually liberating its banking industry since 1980s. In 1983 Taiwan augmented the interest difference between loans and savings in banking industry. In 1984 Taiwan allowed a bank to set its own basic interest rate of loans base on business difference and reduced the restriction of setting up the new branches. The biggest leap was in 1989, Taiwan passed the new banking law which deregulated the banking industry. The new law opened the market for the new entrants and abandoned the interest regulation. The purpose of this research is to examine the efficiency and productivity changes before and after deregulation of Taiwan’s banking industry. This research applies Data Envelopment Analysis (DEA) approach to measure efficiency scores. The data include most of the domestic banks in Taiwan from 1986 to 2002. Unlike other research use yearly basis to measure relative efficiency difference, this research constructs a single efficiency frontier, grand frontier, to measure the trends of efficiency changes. The major findings of this research as follows. 1. The statistical results of the full sample exhibit that the efficiency measures before deregulation are statistically significant greater than that of after deregulation. Although the new entrants exhibit higher efficiency scores in total technical efficiency and scale efficiency than incumbents after deregulation, however, only scale efficiency indicates statistically significant level. Incumbents exhibit a higher pure technical efficiency than the new entrants after deregulation. 2. Banks that joined the financial holding company exhibit higher efficient scores than those of do not join the financial holding company. 3. The total factor productivity denotes a regress after deregulation. The major factor of productivity regress is due to technology decrease. However, the efficiency change of incumbent banks exhibits a significant increase after deregulation. The finding suggests that although the incumbent banks have significant improvements in efficiency, they are still too conservative in innovations. 4. The Tobit regression suggests that return on equity (ROE), total assets, and current-reserve ratio have a positive effect on efficiency measures; however, the number of branches, controllable expenses, and bad debt ratio have a negative effect on efficiency measures. Keywords: Bank industry, Efficiency analysis, Data envelopment analysis, Deregulation