A tese trata de questões referentes à economia dos transplantes renais, enfocando os mecanismos institucionais e de incentivos relacionados à captação de órgãos no Brasil, bem como a eficiência dos estados brasileiros que captam e realizam tais transplantes. A questão investigada na tese por meio dos ensaios foi analisar os efeitos e as implicações da estrutura de incentivos sobre o número de órgãos (inclusive rim) captados, ou seja, sobre o comportamento do sistema público de transplantes. Buscou-se também avaliar a eficiência desse sistema e sua tendência de comportamento ao longo do período 2006-2011. Foi conduzida inicialmente uma apresentação de alguns fatos estilizados para a possível elaboração de estratégias referente ao problema de pesquisa, entre os quais se destacaram: i) o tamanho e o tempo de espera nas filas por transplante de órgãos, no período recente, vêm apresentando uma tendência crescente; ii) o Brasil ocupa o segundo lugar no número absoluto de transplantes renais, atrás apenas dos Estados Unidos; iii) o país apresenta o maior programa público de transplantes de órgãos sólidos; iv) o processo de captação de órgãos tem-se apresentado uma atividade com elevada variabilidade entre os estados brasileiros, gerando um desequilíbrio entre a oferta e a demanda por órgãos e v) o sistema de transplante renal é classificado como uma modalidade terapêutica eficiente. No segundo ensaio da tese, analisaram-se os mecanismos de incentivos oferecidos aos hospitais que realizam a captação de rim para transplantes no Brasil. A abordagem teórica usada foi o modelo Principal-Agente, num contexto de informação assimétrica. No modelo, o SUS foi classificado como o Principal (receptor de órgãos captados) e os hospitais captadores, como Agentes. O SUS, por meio de um contrato, busca maximizar o seu objetivo de obter o maior número de órgãos para transplante e, para atingi-lo, delega ações aos hospitais. Os Agentes decidem se lhes interessam criar uma estrutura e condições para a captação de tal órgão. De acordo com os resultados do modelo Agente-Principal, verificou-se que o SUS (Principal) tem adotado diversas medidas de incentivos aos hospitais que realizam a captação de órgãos, tais como: criação de um fundo específico para financiamento dos transplantes (FAEC - Fundo de Ações Estratégicas e Compensação); pagamento uniforme para hospitais universitários e não universitários; expansão dos tipos de procedimentos hospitalares a serem pagos pelo SUS; reajuste frequente das remunerações pagas por procedimento da Tabela de Procedimentos do Sistema de Informações Hospitalares do Sistema Único de Saúde; cursos e/ou encontros com os profissionais da saúde que atuam no processo de doação-transplante e criação de novos incentivos financeiros para hospitais que realizam transplantes na rede pública. Portanto, se os profissionais recebem maiores incentivos, esses podem agir com eficiência no processo de captação do órgão e, consequentemente, contribuem para que ocorra uma redução no tempo e nas filas de espera por transplantes. Objetivando avaliar a eficiência dos estados brasileiros no sistema de transplante renal e a produtividade deles ao longo do tempo, fez-se uso do ferramental da Análise Envoltória de Dados-DEA e do Índice de Malmquist e suas decomposições (efeito Emparelhamento e Deslocamento de Fronteira). Utilizou-se uma amostra de 22 estados no período 2006-2011. O método DEA com Retornos Variáveis de Escala (BCC) orientado no sentido do produto foi aplicado nesse estudo. Cada estado foi considerado como Unidade de Tomada de Decisão (DMU). Os dados classificados como inputs (recursos) foram os seguintes: gastos (nominal) totais com transplantes renais, gastos (nominais) com serviços hospitalares e gastos (nominais) com serviços dos profissionais relacionados ao setor. Como output (produto) foi usado o número de rins transplantados. Os resultados indicaram que existe entre os estados brasileiros uma discrepância significativa em relação à captação e o número de transplantes de rins. Isso gerou uma ineficiência no sistema de transplante renal no país e pode estar ocorrendo em virtude do funcionamento não adequado da gestão; do não seguimento das regras nacionais (como por exemplo, vinculação das equipes a centros transplantadores; distribuição adequada de imunossupressores; encaminhamento de órgãos não aproveitados para estados próximos; execução da tipagem HLA de toda a lista de espera de rim) que causam prejuízos aos pacientes; das comissões intra-hospitalares não ativas e das equipes hospitalares sobrecarregadas. Portanto, alguns estados que participam do processo de captação e doação de rins para transplante estão apresentando ineficiência em termos de ordem administrativa e operacional. / The thesis is about the economy of kidney transplants, focusing on the institutional mechanisms and incentives related to organ harvesting in Brazil, as well as the efficiency of the Brazilian states that perform such transplants. The essays investigated the effects and implications of the incentives structure on the number of organs (including kidney) harvested by the transplants public system. The efficiency of this system and its performance over the 2006-2011 period was also evaluated. Firstly some stylized facts related to the subject were presented, among which stand out: i) the size of queues and waiting times for organ transplantation in recent years have grown; ii) Brazil ranks second in the absolute number of kidney transplants, behind only the United States, iii) the country has the largest public program for solid organs transplantation, iv) the process of organ harvesting has high variability among Brazilian states, creating an imbalance between supply and demand for organs and v) the kidney transplantation system is as an effective therapeutic modality. In the second essay the mechanisms of incentives offered to hospitals that perform kidney harvesting in Brazil were analyzed. The theoretical model used was the Principal-Agent in a context of asymmetric information. In the model, SUS was rated as the Principal (receptor of harvested organs) and the harvesting hospitals, as agents. SUS seeks to maximize the number of organs for transplantation in a contract through which it delegates the harvesting to hospitals. Agents decide whether they are interested in creating a framework and conditions for harvesting organs. The results of the Principal-Agent model indicate that SUS (the Principal) has adopted various incentives to hospitals that perform organ harvesting, such as creating a specific fund to finance transplants (FCSA - Fund for Compensation and Strategic Actions); same payment for university and non-university hospitals, expanding the types of hospital procedures to be paid by SUS; frequent remuneration raises of the amount paid by the procedures in Table of Procedures of the Hospital Information System of the Unified Health System; courses and / or meetings with health professionals working in the donation-transplantation process and creation of new financial incentives to hospitals that perform transplants for the public system. So, if the professional receives stronger incentives, he will act more effectively in the organ harvesting and will thereby contribute to a reduction in waiting lines for transplantation. In order to evaluate the efficiency of the Brazilian states in kidney transplant and their productivity over time, the Data Envelopment Analysis-DEA was used and the Malmquist index and its decomposition (Pairing effect and Boundary Displacement) to a sample of 22 states over five years (2006-2011). The DEA model with variable returns to scale (BCC) directed towards the product was applied in this study. Each state was considered a Decision Making Unit (DMU). Data classified as inputs (resources) were the following: total amount spent (nominal) with kidney transplants, amount spent (nominal) with hospital services and amount spent (nominal) with the professional services related to that sector. As output (product) was used the number of transplanted kidneys. The results indicated that there is a significant discrepancy among the Brazilian states in harvesting and transplanting kidneys. This fact has led to inefficiency in the country’s kidney transplant system and it may be so due to inadequate management, to ignoring natiimmunosuppressants; forwarding not used organs to nearby states, implementation of HLA exam to the entire waiting list for kidney transplant) causing harm to patients; to inactive in-hospital committees and to overloaded hospital staff. Therefore, some states in the process of kidney harvesting and transplantation are showing operational and managerial inefficiencies.onal directives (eg, vinculating teams to transplant centers; proper distribution of immunosuppressants; forwarding not used organs to nearby states, implementation of HLA exam to the entire waiting list for kidney transplant) causing harm to patients; to inactive in-hospital committees and to overloaded hospital staff. Therefore, some states in the process of kidney harvesting and transplantation are showing operational and managerial inefficiencies.

A tese trata de questões referentes à economia dos transplantes renais, enfocando os mecanismos institucionais e de incentivos relacionados à captação de órgãos no Brasil, bem como a eficiência dos estados brasileiros que captam e realizam tais transplantes. A questão investigada na tese por meio dos ensaios foi analisar os efeitos e as implicações da estrutura de incentivos sobre o número de órgãos (inclusive rim) captados, ou seja, sobre o comportamento do sistema público de transplantes. Buscou-se também avaliar a eficiência desse sistema e sua tendência de comportamento ao longo do período 2006-2011. Foi conduzida inicialmente uma apresentação de alguns fatos estilizados para a possível elaboração de estratégias referente ao problema de pesquisa, entre os quais se destacaram: i) o tamanho e o tempo de espera nas filas por transplante de órgãos, no período recente, vêm apresentando uma tendência crescente; ii) o Brasil ocupa o segundo lugar no número absoluto de transplantes renais, atrás apenas dos Estados Unidos; iii) o país apresenta o maior programa público de transplantes de órgãos sólidos; iv) o processo de captação de órgãos tem-se apresentado uma atividade com elevada variabilidade entre os estados brasileiros, gerando um desequilíbrio entre a oferta e a demanda por órgãos e v) o sistema de transplante renal é classificado como uma modalidade terapêutica eficiente. No segundo ensaio da tese, analisaram-se os mecanismos de incentivos oferecidos aos hospitais que realizam a captação de rim para transplantes no Brasil. A abordagem teórica usada foi o modelo Principal-Agente, num contexto de informação assimétrica. No modelo, o SUS foi classificado como o Principal (receptor de órgãos captados) e os hospitais captadores, como Agentes. O SUS, por meio de um contrato, busca maximizar o seu objetivo de obter o maior número de órgãos para transplante e, para atingi-lo, delega ações aos hospitais. Os Agentes decidem se lhes interessam criar uma estrutura e condições para a captação de tal órgão. De acordo com os resultados do modelo Agente-Principal, verificou-se que o SUS (Principal) tem adotado diversas medidas de incentivos aos hospitais que realizam a captação de órgãos, tais como: criação de um fundo específico para financiamento dos transplantes (FAEC - Fundo de Ações Estratégicas e Compensação); pagamento uniforme para hospitais universitários e não universitários; expansão dos tipos de procedimentos hospitalares a serem pagos pelo SUS; reajuste frequente das remunerações pagas por procedimento da Tabela de Procedimentos do Sistema de Informações Hospitalares do Sistema Único de Saúde; cursos e/ou encontros com os profissionais da saúde que atuam no processo de doação-transplante e criação de novos incentivos financeiros para hospitais que realizam transplantes na rede pública. Portanto, se os profissionais recebem maiores incentivos, esses podem agir com eficiência no processo de captação do órgão e, consequentemente, contribuem para que ocorra uma redução no tempo e nas filas de espera por transplantes. Objetivando avaliar a eficiência dos estados brasileiros no sistema de transplante renal e a produtividade deles ao longo do tempo, fez-se uso do ferramental da Análise Envoltória de Dados-DEA e do Índice de Malmquist e suas decomposições (efeito Emparelhamento e Deslocamento de Fronteira). Utilizou-se uma amostra de 22 estados no período 2006-2011. O método DEA com Retornos Variáveis de Escala (BCC) orientado no sentido do produto foi aplicado nesse estudo. Cada estado foi considerado como Unidade de Tomada de Decisão (DMU). Os dados classificados como inputs (recursos) foram os seguintes: gastos (nominal) totais com transplantes renais, gastos (nominais) com serviços hospitalares e gastos (nominais) com serviços dos profissionais relacionados ao setor. Como output (produto) foi usado o número de rins transplantados. Os resultados indicaram que existe entre os estados brasileiros uma discrepância significativa em relação à captação e o número de transplantes de rins. Isso gerou uma ineficiência no sistema de transplante renal no país e pode estar ocorrendo em virtude do funcionamento não adequado da gestão; do não seguimento das regras nacionais (como por exemplo, vinculação das equipes a centros transplantadores; distribuição adequada de imunossupressores; encaminhamento de órgãos não aproveitados para estados próximos; execução da tipagem HLA de toda a lista de espera de rim) que causam prejuízos aos pacientes; das comissões intra-hospitalares não ativas e das equipes hospitalares sobrecarregadas. Portanto, alguns estados que participam do processo de captação e doação de rins para transplante estão apresentando ineficiência em termos de ordem administrativa e operacional. / The thesis is about the economy of kidney transplants, focusing on the institutional mechanisms and incentives related to organ harvesting in Brazil, as well as the efficiency of the Brazilian states that perform such transplants. The essays investigated the effects and implications of the incentives structure on the number of organs (including kidney) harvested by the transplants public system. The efficiency of this system and its performance over the 2006-2011 period was also evaluated. Firstly some stylized facts related to the subject were presented, among which stand out: i) the size of queues and waiting times for organ transplantation in recent years have grown; ii) Brazil ranks second in the absolute number of kidney transplants, behind only the United States, iii) the country has the largest public program for solid organs transplantation, iv) the process of organ harvesting has high variability among Brazilian states, creating an imbalance between supply and demand for organs and v) the kidney transplantation system is as an effective therapeutic modality. In the second essay the mechanisms of incentives offered to hospitals that perform kidney harvesting in Brazil were analyzed. The theoretical model used was the Principal-Agent in a context of asymmetric information. In the model, SUS was rated as the Principal (receptor of harvested organs) and the harvesting hospitals, as agents. SUS seeks to maximize the number of organs for transplantation in a contract through which it delegates the harvesting to hospitals. Agents decide whether they are interested in creating a framework and conditions for harvesting organs. The results of the Principal-Agent model indicate that SUS (the Principal) has adopted various incentives to hospitals that perform organ harvesting, such as creating a specific fund to finance transplants (FCSA - Fund for Compensation and Strategic Actions); same payment for university and non-university hospitals, expanding the types of hospital procedures to be paid by SUS; frequent remuneration raises of the amount paid by the procedures in Table of Procedures of the Hospital Information System of the Unified Health System; courses and / or meetings with health professionals working in the donation-transplantation process and creation of new financial incentives to hospitals that perform transplants for the public system. So, if the professional receives stronger incentives, he will act more effectively in the organ harvesting and will thereby contribute to a reduction in waiting lines for transplantation. In order to evaluate the efficiency of the Brazilian states in kidney transplant and their productivity over time, the Data Envelopment Analysis-DEA was used and the Malmquist index and its decomposition (Pairing effect and Boundary Displacement) to a sample of 22 states over five years (2006-2011). The DEA model with variable returns to scale (BCC) directed towards the product was applied in this study. Each state was considered a Decision Making Unit (DMU). Data classified as inputs (resources) were the following: total amount spent (nominal) with kidney transplants, amount spent (nominal) with hospital services and amount spent (nominal) with the professional services related to that sector. As output (product) was used the number of transplanted kidneys. The results indicated that there is a significant discrepancy among the Brazilian states in harvesting and transplanting kidneys. This fact has led to inefficiency in the country’s kidney transplant system and it may be so due to inadequate management, to ignoring natiimmunosuppressants; forwarding not used organs to nearby states, implementation of HLA exam to the entire waiting list for kidney transplant) causing harm to patients; to inactive in-hospital committees and to overloaded hospital staff. Therefore, some states in the process of kidney harvesting and transplantation are showing operational and managerial inefficiencies.onal directives (eg, vinculating teams to transplant centers; proper distribution of immunosuppressants; forwarding not used organs to nearby states, implementation of HLA exam to the entire waiting list for kidney transplant) causing harm to patients; to inactive in-hospital committees and to overloaded hospital staff. Therefore, some states in the process of kidney harvesting and transplantation are showing operational and managerial inefficiencies.

This thesis consists of two self-contained empirical essays. Essay I investigates the impact of labor subsidies on TFP, and profit per employee is included as a second outcome. Coarsened exact matching (CEM) is performed on the key variables. After matching, a difference-in-difference (DID) model is applied. The study shows that firms employing workers with wage subsidies experience negative and significant effects on both TFP and profit per employee. Heterogeneity is, however, observed; the only sector to show a deficit in both TFP and profit per employee is wholesale. During the second year with a subsidy, a negative impact can be observed on the profit per employee but not on TFP. The policy conclusion from the analysis is that subsidizing individuals from particular groups is necessary to induce firms to hire workers from these groups. However, the time period for which a single firm is subsidized should be considered. Essay II (with Jonas Månsson from Linnaeus University and the Swedish National Audit Office (SNAO), Christian Andersson from SNAO and Fredrik Bonander from SNAO) measures TFP of the Swedish district courts by applying data envelopment analysis (DEA) to calculate the Malmquist productivity index for 48 Swedish district courts from 2012 to 2015. This study uses a fully decomposed Malmquist index. A bootstrapping approach is further applied to compute confidence intervals for each decomposed factor of TFP as well as for TFP. The study shows an average annual of TFP by 0.7%. However, a substantial variation between years is observed both with regards to the number of statistically significant courts below and above unity. The negative impact is mainly driven by pure technical regress. Large variations are also observed over time where the small courts have the largest volatility. The TFP change is positively correlated with the rate of change in the caseload. Two recommendations are: 1) that district courts with negative TFP growth could learn from those with positive TFP growth and 2) that a back-up force could be developed to enhance flexibility.

本研究使用資料包絡分析法進行我國銀行業生產效率分析，並以彰化銀行作為個案對象，研究彰化銀行在不同經營者下的生產效率，以2001年至2016年我國30家銀行為樣本銀行，探究各年度彰化銀行相對全體銀行之生產效率與Malmquist生產力指數，結果顯示彰銀自行經營期間（2001年至2005年），其生產效率與生產力指數變動大，生產效率變動在三商銀中為唯一衰退；台新金經營彰銀期間（2006年至2014年），彰銀生產效率曾連續五年為三商銀中最佳，直至後半期第一銀行生產效率超越彰銀成為三商銀中第一，因此生產力指數一銀略高於彰銀，唯生產效率進步程度由彰銀在三商銀中進步最多；而彰銀再度自行經營期間（2015年與2016年），彰銀連續兩年達生產效率，顯示其再度自行經營之生產效率相較其他銀行良好。 / This study investigates the productive efficiency of banks in Taiwan by using the Data Envelopment Analysis (DEA). This thesis also presents a case study about the transfered right of management of Chang-Hua Bank, to see the difference of productive efficiency between different managers. The study chooses 30 banks of Taiwan from 2001 to 2016 as the sample data, and studies the productive efficiency and Malmquist index of Chang-Hua Bank each year. The study shows the results as follows: 1. The government managed the Chang-Hua bank (2001~2005): It appears a great fluctuation of the productive efficiency and the Malmquist Index of Chang-Hua Bank. Among the Chang-Hua Bank, the First Bank and the Hua-Nan Bank, the Chang-Hua Bank presents the lowest average efficient change. 2. Taishin financial holding company managed the Chang-Hua bank (2006~2014): Comparing to the First Bank and the Hua-Nan Bank, Chang-Hua bank had been the most productive and efficient bank for five years. 3. The government managed the Chang-Hua bank (2015~2016): Chang-Hua Bank has reached the productive efficieny for the recent two years.

Data envelopment analysis models are common tools to measure efficiency of decision-making unit. This thesis presents several DEA-based approaches and describes data that are collected and closely watched by Czech Tax Offices. Presented methods are used to evaluate Tax Offices. Each Tax Office will be evaluated with efficiency rate by every presented approach. In the last part of this thesis, the Tax Offices will be ordered by achieved results and the methods will be compared.

No description available.

在台灣，未來很有可能帶領台灣高科技產業向上突破的新英雄---薄晶電晶體液晶顯示器（TFT-LCD），已逐漸為人所重視，近來，TFT-LCD產業的更是利多頻傳，不但在股票成交量創下新高，股價更是一再突破新高。本文則是希望以資料包絡分析法(DEA)來比較分析台灣各家廠商（友達、華映、奇美電、廣輝、彩晶）的相對經營績效，研究範圍從2001年第四季一直到2004年的第一季，所採用的投入變數即為資產總額、營業成本、營業費用和員工人數，產出變數我們則採用營業收入和營業淨利。 總結來看，廠商在CCR和BCC模式下，雖然在平均排名上，兩個模式並不盡相同，但由時間趨勢來看，五家廠商在趨勢變動上，大致是一樣的；效率值表現較好的時期為2002Q1、和2002Q2和2004Q1，較差的則為2002Q4和2003Q1，推測其原因，一部分當然是和景氣的波動有關，但也和面板的價格波動有一定程度的相關。 藉由Tobit 迴歸分析，意味著廠商可藉由提高每人配備率、總資產週轉率、流動比率、研發費用率及經營年限等變數，可提昇廠商的整體技術效率，提供了一些政策方向供廠商參考。 以Malmquist生產力指數來看，總要素生產力的變動（Tfpch）大部分的因素，是來自於生產技術的變動(Tech）；彩晶在總要素生產力的變動上，平均有16.8%的成長，是第1名，其他的廠商則呈現不大的差別；但若以時間趨勢來看，2001Q4到2002Q1和2003Q1到2003Q2兩各階段都有滿大的成長，但在2002Q2到2002Q3和2002Q3到2002Q4兩個階段卻呈現衰退的表現。 / In Taiwan, TFT-LCD, which is likely to lead high-tech to strive upward in the future, has been receiving more and more attention. Recently, TFT-LCD industry has come into great blossom. Not only does the stock transaction amount achieve a record-breaking peak, but the stock price also makes breakthroughs at all times. This research is to use Data Envelopment Analysis(DEA) to compare and analyze the relative operating efficiency of chief leaders in the high-tech industry, including AUO, CPT, CMO, QDI to HannStar. The research ranges from the 4th quarter in 2001 to the 1st quarter in 2004. The researcher adopts input variables, which include total assets, business costs, business expenses and employees, and output variables, business revenues and business net profits, as well. On the whole, in spite of CCR and BCC model, the average order is different, but approximately similar. The quarters, which perform well, are the 1st quarter in 2002 and the 1st quarter in 2004; the bad quarters are the 4th quarter in 2002 and the 1st quarter in 2003. To speculate reasons, it has to do with the business cycle and panel board price fluctuation. Under the frame, by use of Tobit analysis, factories can strengthen total technology efficiency by raising equipment per employee, total asserts turnover, current ratio, R & D ratio, and the period of operating. It provides these factories a referential direction. In conclusion, according to Malmquist index analysis, the Tfpch is the better part from the tech. HannStar, with 16.8% average growth in Tfpch, is the top one. The other factories are nearly close. In the time period, from the 4th quarter in 2001 to the 1st quarter in 2002, and from the 1st quarter in 2003 to the 2nd quarter in 2003, the other factories has a high growth, but from the 2nd quarter in 2002 to the 3rd quarter in 2002 and from the 3rd quarter in 2002 to the 4th quarter in 2002, there is a decline in growth.

Cette thèse propose une analyse économique de la qualité et de l'efficience des universités et des systèmes universitaires au niveau international, à travers l'utilisation des indicateurs intrants et extrants et la méthode d'enveloppement des données (Data Envelopment Analysis DEA). La thèse est composée de quatre chapitres. Le premier chapitre intitulé "les classements des universités : une mise en perspective critique" présente et évalue la pertinence des indicateurs intrants/extrants les plus utilisés par les classements des universités. Il est l'occasion d'exposer un certain nombre de critiques présentes dans la littérature et de focaliser sur un problème méthodologique répandu dans les classements. Il s'agit de l'utilisation des inputs (intrants) comme des mesures de la qualité des universités. Une telle pratique confond moyen et résultat et fait l'impasse sur les concepts de base des modèles de comptabilité en termes de fonction de production et d'efficience. Le deuxième chapitre intitulé "caractéristiques et classements des universités : autour de quelques facteurs capables d'expliquer les différences de performance entre les universités", compare les résultats de deux classements: QS-Times et Shanghai et propose une liste de facteurs capables d'expliquer pourquoi il existe de telles différences de qualité, selon ces classements, entre les universités. [...] Le troisième chapitre intitulé "la performance et l'efficience des universités et leurs déterminants: une évaluation à partir des classements mondiaux des universités et de la méthode DEA" évalue sur la base d'une méthode DEA l'efficience de 214 universités issues de 13 pays différentes afin de savoir si les universités les mieux classées parmi les classements traditionnels sont aussi les universités qui utilisent le mieux leurs ressources. [...] Enfin, le quatrième chapitre, titré "l'efficience des systèmes universitaires de 35 pays et leurs déterminants: une évaluation par la méthode DEA et le calcul des indices de Malmquist (2006-2012)" évalue l'efficience et les performances des systèmes universitaires de 35 pays. Il propose de nouveaux scores d'efficience globale qui viennent compléter les deux premières études sur ce sujet d’Agasisti (2011) et St. Aubyn et al (2009). Les nouveautés par rapport à l'article d'Agasisti (2011) sont au nombre de cinq: l'échantillon est plus important (35 pays au lieu de 18), la période d'observation est actualisée, l'évolution de l'efficience entre deux périodes est calculée, le nombre des intrants et des extrants incorporé dans chaque modèle est plus élevé et un modèle spécifique d'évaluation de l'efficience de la recherche est proposé. Il conforte la thèse selon laquelle les systèmes universitaires de la Suisse et du Royaume-Uni sont les plus efficients. Il montre aussi sur la base d'un calcul des indices de Malmquist qu'entre 2006 et 2012 l'efficience en matière d'enseignement des 35 systèmes universitaires évalués a eu tendance à diminuer alors que l'efficience de la recherche et de l'attractivité- réputation de ces mêmes systèmes a plutôt eu tendance à augmenter. Ce qui permet de mieux évaluer l'effet des réformes inspirées par l'usage du classement de Shanghai sur les systèmes universitaires. Ces réformes conduisent les enseignants-chercheurs à délaisser l'enseignement pour la recherche. / This thesis aims to economically analyze the quality and efficiency of universities and university systems at an international level of comparison, by using input/output indicators and the Data Envelopment Analysis (DEA) method. The thesis is composed of four chapters. The first chapter entitled "university rankings: a critical perspective" presents and evaluates the relevance of inputs/outputs indicators used by most university rankings. It is the opportunity to present a number of criticisms found in the literature and focus on a common methodological problem in the rankings. It is the use of inputs as measures of university quality. This practice confuses means and results and ignores the basic concepts of accounting models in terms of production functions and efficiency. The second chapter entitled "characteristics and rankings of universities : around some factors that can explain the differences in performance between universities", compares the results of two rankings: QS-Times and Shanghai and offers a list of factors that may explain why there are such differences in quality, according to these rankings between universities. [...] The third chapter entitled "performance and efficiency of universities and their determinants: an evaluation using world university rankings and DEA methodology" evaluates on the basis of a DEA methodology the efficiency of 214 universities from 13 different countries, in order to find if the top ranked universities among traditional rankings are also universities that best utilize their financial and human resources. [...] The fourth chapter titled "efficiency of university systems in 35 countries and its determinants: an assessment by DEA methodology and the calculation of Malmquist indices (2006-2012)" assesses the efficiency and performance of university systems of 35 countries. It offers new scores for overall efficiency that complement the first two studies on this topic in the literature by Agasisti (2011) and St.Aubyn et al (2009). Compared to the article of Agasisti (2011), we identify five new developments in our study : the sample is higher (35 countries instead of 18), the observation period is updated, the evolution of efficiency between two periods is calculated, the number of inputs and outputs incorporated into each model is higher and a specific model for evaluating the efficiency of research is proposed. Our study confirms the thesis that the university systems of Switzerland and the United Kingdom are the most efficient. It also shows based on the calculations of Malmquist indices between 2006 and 2012 that teaching efficiency of 35 reviewed university systems has a tendency of declining while the research efficiency and that of attractivity-reputation is rather increasing. This allows a better assessment of the impact of reforms inspired by the Shanghai ranking on university systems. These reforms led the academic staff of universities to abandon their focus on teaching in favor of research activities.

The main objective of this research is to evaluate the socio economic impact of the development programs like MGNREGA, JnNURM and development of Roads project, on the intended target area. The entire thesis can be divided in to two parts; (1) developing method to evaluate the socio economic impact assessment and (2) case studies. Two different techniques were used to evaluate the change in the productivity. Initially the change is measure by calculating the difference in the efficiencies between two time period using base period and current period production technologies. To illustrate this method a case study of MGNREGA has been considered to evaluate the impact of seventeen districts of the country. From the results it is found that there is difficult in comparing the two efficiencies due to the scaling issue of two production technologies. Further Data Envelopment Analysis is used to evaluate the distance function in the calculation of Malmquist index (MI). MI gives the productivity change between two time periods and is calculated as the geometric mean of two ratios measured with reference to the time period and time period respectively. A new approach is presented by interpreting the two ratios of MI separately using the distance functions to identify the productivity change between two time periods. Three different regions were identified to determine the productivity change; improvement region which observe improvement in the productivity between two time periods, deterioration region which indicate deterioration in the productivity and status quo region suggesting the stagnation region. Two case studies i.e. Bangalore Metropolitan Transport Corporation and development of roads under the name “5054-Decongestion of Roads project” were considered. The impact of Jawaharlal Nehru National Urban Renewal Mission (JnNURM) funds on the performance of Bangalore Metropolitan Transport Corporation (BMTC) is studied using the proposed method. The results suggest that for 50 percent of the overall productivity have improved due to the intervention. The deterioration is mainly because of the addition input surplus in terms of number of buses and output slack in terms of reduced load factor, effective distance travelled, operational costs and increase in number of breakdown and accident rates for these DMU’s. The socio economic impact of the roads developed by Government of Karnataka under the name of “5054-Decongestion of Roads project” in and around Bangalore was also studied using this method and the results shows that out of five DMU’s four DMU’s show improvement in the productivity.

Made available in DSpace on 2016-03-15T19:31:14Z (GMT). No. of bitstreams: 1 Paulo Dutra Costantin.pdf: 1161497 bytes, checksum: 80c40c8fcef9308bff7d9389b7a7a3f0 (MD5) Previous issue date: 2007-11-09 / Instituto Presbiteriano Mackenzie / The current work aims to provide an inquiry into the causes of productivity increase observed in the Brazilian agricultural sector from the 1970s till the early years of the 2000s. Its working hypothesis is that gains in productivity are explained by factors like increased rural credit, research (technology), tractors, fertilizers and pesticides. More specifically, it analyses and estimates the impact of each of the foregoing variables on the trajectory of agriculture productivity increase in the period under study. In order to accomplish these tasks, we built up a database that gathered the relevant information for subsequent parametric (as well as non-parametric) estimation of the above specified explanatory variables. The first stage of the research consists of developing a conceptual analysis of the term productivity that fits well with neoclassical microeconomic theory and allows for a systematic explanation based on items like production function, cost function and technical progress. The second stage scrutinizes the properties of parametric and non-parametric research methods underlying the overall study. The third part specifies the selected techniques in tune with the available information. They refer to Data Envelopment Analysis (DEA), Cobb-Douglas Production Function, Translog Production Function and Model of Error Correction Vector. The DEA model suggests that there has been an improvement of technical efficiency as well as room for technological progress throughout the last three decades. Based on the Cobb Douglas model, we found out that the three main factors explaining productivity gains in the sector are harvest area, credit and investment. The Translog production function suggests neutrality of technical progress relative of factor employment over time and a positive effect on production. Additionally, it suggests that reduction of cultivated area,rural credit, pesticide and increase of employment of limestone (calcario)contributes to technical progress. Finally, the model of vector error correction identified that rural credit and R&D yield positive effects on agricultural productivity. / Esta tese constata que a agricultura brasileira apresentou ganhos de produtividade ao longo das décadas de 1970, 1980, 1990 e nos primeiros anos da década de 2000 em decorrência da utilização de fatores como crédito agrícola, pesquisa, maior número de tratores, fertilizantes, corretivos e defensivos agrícolas. Desse modo, procura-se analisar e mensurar a influência dessas variáveis sobre a produtividade agrícola. Para tanto, foi elaborado um banco de dados contendo as informações que serviram de base para a realização de estimativas paramétricas e não-paramétricas para buscar as evidências do impacto desses fatores sobre o aumento da produtividade agrícola. A primeira etapa do trabalho consistiu em definir o conceito de produtividade, em conformidade com a teoria microeconômica neoclássica, para instrumentalizar a explicação este fenômeno, a partir dos conceitos de função de produção, função custo e progresso técnico. A segunda etapa consistiu na avaliação das propriedades dos métodos paramétricos e não paramétricos a serem utilizados. A etapa seguinte implicou a definição das técnicas a serem empregadas, em função da disponibilidade de informações. Assim, foram selecionadas as seguintes técnicas: o Data Envelopment Analysis (DEA), a Função de Produção Cobb-Douglas, a Função de Produção Translog e o Modelo de Vetor de Correção de Erros. O modelo DEA indicou a existência, ao longo de um período de trinta anos, de melhora tanto da eficiência técnica quanto do progresso tecnológico. O modelo de Cobb-Douglas identificou como principais fatores que contribuíram para o aumento da produtividade neste período a área colhida e os créditos de custeio e investimento. A função de produção Translog identificou que o progresso técnico permaneceu neutro, no tempo, em relação ao emprego de fatores, tendo apresentado efeito positivo sobre a produção. Verificou, ainda, que as reduções da área colhida, do crédito agrícola e do uso de defensivos, assim como o aumento da quantidade empregada de calcário, contribuíram positivamente para o progresso técnico. Por fim, o Modelo de Vetor de Correção de Erros identificou nas variáveis crédito agrícola e pesquisa e desenvolvimento efeitos positivos para o aumento da produtividade agrícola.