Submitted by Mariana Dornelles Vargas (marianadv) on 2015-05-20T20:02:51Z No. of bitstreams: 1 avaliacao_longitudinal.pdf: 2297171 bytes, checksum: 2447a0efdc5e940062b85b94a7e8e674 (MD5) / Made available in DSpace on 2015-05-20T20:02:51Z (GMT). No. of bitstreams: 1 avaliacao_longitudinal.pdf: 2297171 bytes, checksum: 2447a0efdc5e940062b85b94a7e8e674 (MD5) Previous issue date: 2012 / Nenhuma / A busca da melhoria contínua é palavra de ordem em organizações de alto desempenho. Através do processo de melhoria contínua, busca-se aumentar o desempenho produtivo e organizacional com foco em melhores resultados para o negócio. Os processos de melhoria passam tanto por atividades de rotinas operacionais e organizacionais, quanto por mudanças de tecnologia que alteram significativamente a maneira de fazer as coisas. Essas mudanças podem ser tanto em atividades produtivas quanto em atividades administrativas. As mudanças tecnológicas devem ocorrer preferencialmente quando se esgotaram as possibilidades de melhorias nas rotinas, visto que mudanças tecnológicas demandam recursos financeiros, materiais e humanos. Após realizadas as mudanças tecnológicas, os resultados devem ser medidos para avaliar a efetividade da mudança, bem como os processos de melhoria devem ser monitorados para assegurar o caminho na direção de elevação das fronteiras de eficiência. E analisar esses aspectos de maneira integrada, considerando vários critérios simultaneamente é a que este trabalho se propõem. Para analisar os aspectos de melhorias contínuas e mudanças tecnológicas temporalmente, utilizou-se uma abordagem não paramétrica baseada na análise envoltória de dados (DEA), combinada com o índice de Malmquist aplicado a uma indústria petroquímica de segunda geração. Foram analisadas as campanhas de diferentes produtos visando identificar as mudanças de eficiência e suas possíveis origens. Como resultados observou-se que o processo de aprendizado e melhoria contínua não é observado em todos os períodos de análise e que as mudanças técnológicas nem sempre apresentam resultados positivos em termos de eficiência. / The continuous improvement is a very important watchword in high performance organizations, through the continuous improvement process is sought to increase organizational performance focusing on better business outcomes. The Improvement processes pass since operational routine and organizational activities, up to significantly changes about the way of doing things, these changes can be either productive or administrative activities. The technological changes should be applied preferentially when do not have possibilities of improve the routines, because technological changes require financial, material and human resources. After technological changes implemented the results need to be measured to analyze the change effectiveness and the improvement processes should be monitored to ensure the path toward increased border efficiency. And analyze these aspects in an integrated way, considering several criteria simultaneously is what this work propose. To analyze continuous improvement aspects and technological change temporarily used a non-parametric approach based on data envelopment analysis (DEA), combined with the Malmquist index applied to a petrochemical industry. Was analyzed the campaigns of different products to identify the changes in efficiency and its possible origins. The results showed that the learning process and continuous improvement is not observed in all analyzed periods and that technological changes do not always have positive outcomes in terms of efficiency .

本研究以歐洲銀行業為主要的研究對象，嘗試運用以Malmquist生產力指數法考量IFRS的實施是否會對企業整體構面產生影響。研究結果發現，IFRS實施的確會使企業整體構面產生變動，而其變動的來源主要是因企業之實值衡量標準改變所致。此外，Chow Test檢定也說明歐洲銀行業者在IFRS實施之前後於投資決策產生結構性之變異，而其餘各構面：盈餘波動、資金成本、資訊揭露成本、教育訓練成本和審計公費，則無發生結構性之改變。 / In this article we try to apply Malmquist indices to analyze whether the implementation of IFRS will have an influence on banking industry in Europe. The empirical tests reveal that implementation of IFRS does have an influence on banking industry as a whole. The influence can be referred to the change of substantial measuring standards on IFRS. In addition to Malmquist indices, the study also applies Chow Test to examine whether the structural changes have existed before and after implementation of IFRS. The test result shows that the investment decisions of banks have a significant structural change before and after mplementation of IFRS. In the other hand, the earning volatility cost of capital, disclosure cost, educational cost and audit fees do not illustrate a significant structural change.

This thesis shows how the relative efficiency of automotive companies can be evaluated and how the changes in productivity of these companies by time can be observed. There are 17 companies in the analysis which are the main automotive manufacturers of Turkish automotive industry. A method called stepwise approach is used to determine the input and output factors. The two input variables used are the company&rsquo / s Payment for Raw Materials and Components and Payment for Wages and Insurances of Employees / the three output variables are Domestic Sales, Exports and Capacity Usage. The panel data that covers the time period between years 2001 and 2005 is obtained from OSD (Automotive Manufacturers Association). The efficiency analysis is performed according to basic Data Envelopment Analysis (DEA) models which are Charnes, Cooper and Rhodes (CCR) models and Banker, Charnes and Cooper (BCC) models. The software LINGO 10 is used for solving the linear programming models. After finding the overall efficiency, technical efficiency and scale efficiency of each company for each year, the changes in the efficiencies are analyzed by using Malmquist Total Factor Productivity (TFP) Index. The results are illustrated by the help of many tables and graphs for better understanding. When the results in tables and graphs are analyzed, the negative effect of 2001 economic crisis on automotive industry can be observed. Besides, it is seen that the efficiency changes by time show variance from company to company because they produce 7 types of vehicles and there are important differences between them such as production technology, market, demand, etc.

我國高等教育體系自民國80年代以來經歷重大變遷，由於民間的訴求與教育主管當局眾多政策的施行，我國高等教育已邁向普及化與民主化，並朝追求卓越發展；然而近年來，高等教育體系面臨供需失衡、財務壓力、以及國內外激烈競爭等種種挑戰，提升經營績效以及生產技術因此非常重要。 本研究選取我國50所公私立大學校院作為研究對象，以83至92學年度作為研究期間，採用資料包絡分析法，計算出效率值以及Malmquist生產力指數，展現各大學校院10個學年度的經營績效以及生產力變動情形，並結合相關期間的高等教育政策，以了解十年來高等教育政策變遷與各大學校院經營效率及生產力變動之間的關聯性。 研究結果顯示，就效率值來看，公立大學校院與私立大學校院的技術效率均有所提升，顯示各大學校院的經營績效與資源使用均更有效率，而私立大學校院的效率值普遍上優於公立大學校院，表示公立大學校院仍有資源浪費的情形。就Malmquist生產力指數來看，總要素生產力的變動主要受效率前緣變動的影響，公立大學校院長期以來是有進步的，私立大學校院則相對退步，以致整體而言，我國高等教育體系自83學年度以來呈現生產技術退步的情況，亟待教育有關當局更深刻的省察與更深入的思考。

The NZ dairy industry has adopted an encompassing measure of performance, total factor productivity (TFP), as a target measure to guide on-farm improvements. Dairy farmers pay a levy in order to fund agricultural research and extension. Extension services and R&D will continue to be of critical importance to maintain and improve productivity at the farm level. Consequently, it is in the best interest of the dairy industry to adequately target R&D and extension funds and make the best use of resources. To date, the methodology employed to estimate productivity growth has some shortcomings that seriously hamper the ability of potential users to extract useful information from it. First, productivity growth has been reported as an aggregate for the entire dairy industry. Second, it makes no assumption about the efficiency with which resources are being used. Third, it implicitly assumes that all farms face the same technology. Productivity growth can be achieved either through better (more efficient) use of the technology applied, through the adoption of a new technology (technical progress) or a combination of both. Given that the sources of productivity change—technical progress and technical efficiency change—are fundamentally different phenomena, they are, in turn, influenced by different factors. This distinction is important for policy orientation because different instruments/tools may be required to address them. Furthermore, empirical evidence suggests that a variety of farming systems have emerged as a result of dairy farming geographical expansion. Farm-level panel data were used to estimate the Malmquist productivity change index. This index can provide additional insights since it can be decomposed into two additional components, one that measures changes in technical efficiency (i.e., whether firms are getting closer to the production frontier over time), and one that measures changes in technology (i.e., whether the production frontier is moving outwards over time). Hence, it provides individual (farm) estimates of TFP. Moreover, the methodology applied allows to test whether farms in the two regions considered in this study are operating under the sametechnology. These two regions were the long-established dairy areas of Waikato-Taranaki and the newly developed dairy areas of Canterbury-Southland. Results for farms in Waikato-Taranaki indicate that annual TFP change is modest, ranging from 0.29% per annum to 0.59% per annum. Most importantly, technical progress is the only source of TFP change in all four models. Therefore, it is necessary to encourage investments in new R&D targeted to remove the technological constraints that impede the realisation of further productivity gains in the regions. However, important differences in the estimates of TFP, technical progress and change in technical efficiency between models were found for farms in Canterbury-Southland. Estimates of TFP change ranged from 0.7% per annum to 2.8% per annum. Even though technical progress and change in technical efficiency contributed to total factor productivity growth (TFPG), the latter component was the most important contributor in three of the four models. Moreover, in two models the rate of technical progress was negative (i.e., technical regress). The analyses indicate that dairy farms in Canterbury-Southland were on average 10% more productive than farms in Waikato-Taranaki when farms in both regions faced the frontier. These results were consistent for all the input/output set chosen. Furthermore, the null hypothesis that the two regions do not face the same production technology (i.e., each region has it own production frontier) was accepted irrespective of the input/output set chosen. The rejection of the null hypothesis, that farms in traditional and non-traditional dairy regions were operating under the same underlying technology (and hence face the same production frontier), called for a review of the traditional approach to R&D in one central experimental station, strengthening the need for a local approach through the promotion of networks and synergies with universities and other research institutions.

The NZ dairy industry has adopted an encompassing measure of performance, total factor productivity (TFP), as a target measure to guide on-farm improvements. Dairy farmers pay a levy in order to fund agricultural research and extension. Extension services and R&D will continue to be of critical importance to maintain and improve productivity at the farm level. Consequently, it is in the best interest of the dairy industry to adequately target R&D and extension funds and make the best use of resources. To date, the methodology employed to estimate productivity growth has some shortcomings that seriously hamper the ability of potential users to extract useful information from it. First, productivity growth has been reported as an aggregate for the entire dairy industry. Second, it makes no assumption about the efficiency with which resources are being used. Third, it implicitly assumes that all farms face the same technology. Productivity growth can be achieved either through better (more efficient) use of the technology applied, through the adoption of a new technology (technical progress) or a combination of both. Given that the sources of productivity change—technical progress and technical efficiency change—are fundamentally different phenomena, they are, in turn, influenced by different factors. This distinction is important for policy orientation because different instruments/tools may be required to address them. Furthermore, empirical evidence suggests that a variety of farming systems have emerged as a result of dairy farming geographical expansion. Farm-level panel data were used to estimate the Malmquist productivity change index. This index can provide additional insights since it can be decomposed into two additional components, one that measures changes in technical efficiency (i.e., whether firms are getting closer to the production frontier over time), and one that measures changes in technology (i.e., whether the production frontier is moving outwards over time). Hence, it provides individual (farm) estimates of TFP. Moreover, the methodology applied allows to test whether farms in the two regions considered in this study are operating under the sametechnology. These two regions were the long-established dairy areas of Waikato-Taranaki and the newly developed dairy areas of Canterbury-Southland. Results for farms in Waikato-Taranaki indicate that annual TFP change is modest, ranging from 0.29% per annum to 0.59% per annum. Most importantly, technical progress is the only source of TFP change in all four models. Therefore, it is necessary to encourage investments in new R&D targeted to remove the technological constraints that impede the realisation of further productivity gains in the regions. However, important differences in the estimates of TFP, technical progress and change in technical efficiency between models were found for farms in Canterbury-Southland. Estimates of TFP change ranged from 0.7% per annum to 2.8% per annum. Even though technical progress and change in technical efficiency contributed to total factor productivity growth (TFPG), the latter component was the most important contributor in three of the four models. Moreover, in two models the rate of technical progress was negative (i.e., technical regress). The analyses indicate that dairy farms in Canterbury-Southland were on average 10% more productive than farms in Waikato-Taranaki when farms in both regions faced the frontier. These results were consistent for all the input/output set chosen. Furthermore, the null hypothesis that the two regions do not face the same production technology (i.e., each region has it own production frontier) was accepted irrespective of the input/output set chosen. The rejection of the null hypothesis, that farms in traditional and non-traditional dairy regions were operating under the same underlying technology (and hence face the same production frontier), called for a review of the traditional approach to R&D in one central experimental station, strengthening the need for a local approach through the promotion of networks and synergies with universities and other research institutions.

Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2016-08-27T00:23:28Z No. of bitstreams: 1 MatheusFrazaoArrudaDiniz_DISSERT.pdf: 1124131 bytes, checksum: efb877a6fead22ebc3fc74145c3a4518 (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2016-09-02T19:21:27Z (GMT) No. of bitstreams: 1 MatheusFrazaoArrudaDiniz_DISSERT.pdf: 1124131 bytes, checksum: efb877a6fead22ebc3fc74145c3a4518 (MD5) / Made available in DSpace on 2016-09-02T19:21:27Z (GMT). No. of bitstreams: 1 MatheusFrazaoArrudaDiniz_DISSERT.pdf: 1124131 bytes, checksum: efb877a6fead22ebc3fc74145c3a4518 (MD5) Previous issue date: 2016-03-04 / O presente trabalho realiza uma avalia??o dos servi?os brasileiros de abastecimento de ?gua e esgotamento sanit?rio nos anos de 2002, 2007 e 2012 com base nos princ?pios e diretrizes da governan?a p?blica. Para isso utilizou-se a metodologia An?lise Envolt?ria de Dados (DEA) com orienta??o produto, onde verificou-se a fronteira de efici?ncia e a efici?ncia relativa dos prestadores de servi?o levando em conta o uso dos recursos p?blicos em detrimento a abrang?ncia dos servi?os e desempenho financeiro antes e ap?s a implementa??o da Lei Nacional do Saneamento B?sico - LNSB, posteriormente aplicou-se o ?ndice de Malmquist para analisar a din?mica de produtividade dos fatores entre os anos, observou-se uma melhoria na produtividade em todos os per?odos analisados, entretanto o per?odo posterior a LNSB apresentou menor avan?o em rela??o ao per?odo anterior, fato este atribu?do a maior redu??o do efeito emparelhamento aliada ao baixo crescimento do efeito deslocamento. Al?m disto observou-se menor melhoria de produtividade no per?odo agregado (2002-2012) do que nos dois outros per?odos, onde apesar de apresentar o maior efeito emparelhamento dos intervalos, observou-se regress?o tecnol?gica. / This paper carries out an evaluation of Brazilian services water supply and sanitary sewers in the years 2002, 2007 and 2012 based on the principles and guidelines of public governance. For this we used the methodology Data Envelopment Analysis (DEA) with guidance product, where it was the efficient frontier and the relative of service providers efficiency taking into account the use of public resources over the scope of services and financial performance before and after the implementation of the National Basic Sanitation Law - LNSB subsequently applied the Malmquist Index to analyze the dynamics of factor productivity between years, there was an improvement in productivity in all periods analyzed, however the period after LNSB showed less improvement over the previous period, a fact attributed to greater reduction of the pairing effect coupled with low growth in displacement effect. In addition there was less improved productivity in the aggregate period (2002-2012) than in the two other periods where despite having the greatest effect annealing of the intervals, we observed technological regression.

Submitted by Daiana Dalla Vecchia (daianadvecchia@hotmail.com) on 2014-10-30T03:18:31Z No. of bitstreams: 1 ANÁLISE DA EFICIÊNCIA DAS INSTITUIÇÕES DE EDUCAÇÃO SUPERIOR.pdf: 1731688 bytes, checksum: 47674cbc3b5608cacd55d9f73d1ef922 (MD5) / Approved for entry into archive by Vania Magalhaes (magal@ufba.br) on 2014-10-30T11:19:36Z (GMT) No. of bitstreams: 1 ANÁLISE DA EFICIÊNCIA DAS INSTITUIÇÕES DE EDUCAÇÃO SUPERIOR.pdf: 1731688 bytes, checksum: 47674cbc3b5608cacd55d9f73d1ef922 (MD5) / Made available in DSpace on 2014-10-30T11:19:36Z (GMT). No. of bitstreams: 1 ANÁLISE DA EFICIÊNCIA DAS INSTITUIÇÕES DE EDUCAÇÃO SUPERIOR.pdf: 1731688 bytes, checksum: 47674cbc3b5608cacd55d9f73d1ef922 (MD5) / A educação desempenha um papel crucial sobre o desenvolvimento social e econômico de uma nação, por conseguinte, é fundamental entender como a eficiência pode contribuir na obtenção da qualidade da educação. Esta dissertação analisa a eficiência das Instituições de Educação Superior (IES) públicas da região Nordeste do Brasil. Para tanto, utiliza-se a metodologia determinística não paramétrica, Análise Envoltória de Dados (Data Envelopment Analysis - DEA), a qual possibilita a realização de uma análise comparativa entre as IES. Um conjunto de insumos e produtos educacionais é escolhido a fim de realizar a mensuração da eficiência das IES. Estima-se uma fronteira de eficiência e a partir desta é possível gerar um ranking, detectando as IES eficientes e ineficientes, facilitando o processo de elaboração de possíveis soluções capazes de ampliar a eficiência das IES que se encontraram abaixo da fronteira. Ademais, estima-se o Índice de Malmquist, o qual determina mudanças na produtividade total das IES através de painéis. São abordadas na amostra 31 IES públicas da região Nordeste do país, incluindo Universidades, Centros Universitários, Faculdades e Institutos Federais pertencentes à esfera federal e estadual. A avaliação é realizada para o período de 2008 a 2012 e os dados utilizados são fornecidos pelo Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (INEP). Ao longo do período analisado foi possível verificar oscilações na eficiência das IES, provocando, consequentemente, deslocamentos na fronteira. Na média geral o número de IES ineficientes foi superior ao número de IES eficientes, fato que demonstra a deterioração do produto educacional, indicando a importância de políticas e investimentos no setor, a fim de reestabelecer e aperfeiçoar o desempenho das IES do Nordeste brasileiro.

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Economia, Administração e Contabilidade, Programa de Pós-Graduação em Economia, Mestrado Profissional em Economia, 2017. / Submitted by Raiane Silva (raianesilva@bce.unb.br) on 2017-07-19T17:06:53Z No. of bitstreams: 1 2017_AntonioMarcosCorreiaMelonio.pdf: 1207684 bytes, checksum: 7333eefa05ddc108ee69c9ef8e79f096 (MD5) / Approved for entry into archive by Raquel Viana (raquelviana@bce.unb.br) on 2017-09-13T22:37:09Z (GMT) No. of bitstreams: 1 2017_AntonioMarcosCorreiaMelonio.pdf: 1207684 bytes, checksum: 7333eefa05ddc108ee69c9ef8e79f096 (MD5) / Made available in DSpace on 2017-09-13T22:37:09Z (GMT). No. of bitstreams: 1 2017_AntonioMarcosCorreiaMelonio.pdf: 1207684 bytes, checksum: 7333eefa05ddc108ee69c9ef8e79f096 (MD5) Previous issue date: 2017-09-13 / As Instituições Federais de Ensino Superior (IFES) são compostas por universidades, instituições isoladas e pelos centros de ensino tecnológico, sendo que desempenham um papel de fundamental importância estratégica no desenvolvimento econômico, social, científico e tecnológico do país. Cada vez mais, as IFES estão sendo chamadas a prestarem contas à sociedade e aos órgãos reguladores e fiscalizadores do país, acerca dos impactos e resultados de suas ações, uma vez que utilizam recursos financeiros públicos. Esta pesquisa buscou avaliar a eficiência das IFES em relação aos gastos de recursos públicos no período do REUNI (2010 a 2012) e no pós-REUNI (2013 a 2015). Os indicadores de desempenho dos Relatórios de Gestão do Tribunal de Contas da União (TCU) foram utilizados para analisar a qualidade dos gastos nas IFES. A metodologia empregada para medir essa eficiência das IFES foi a Data Envelopment Analysis (DEA) e o índice de Malmquist. O cálculo da análise de eficiência para os anos de 2010 e 2015 mostrou que em 2010 as IFES consideradas eficientes eram 58% da amostra, e no ano de 2015 apresentou uma redução, passando para 40% da amostra, sendo que se destacaram como eficientes nesses dois anos comparativos a Universidade Tecnológica Federal do Paraná, a Universidade Federal de Lavras, a Universidade Federal do Rio Grande do Sul e a Universidade Federal de Ciências da Saúde de Porto Alegre. Na análise do índice de Malmquist, verificou-se que somente cinco IFES (10% da amostra) apresentaram aumento da produtividade, sendo que o maior aumento ocorreu na Universidade Federal de Pelotas (25,8%), seguida da Universidade Federal do Tocantins (13,2%), da Universidade Federal do ABC (9,9%), da Universidade Federal Rural da Amazônia (8,7%) e da Universidade Federal do Estado do Rio de Janeiro (4,1%). Com os resultados apresentados na pesquisa, não é possível afirmar que o fim do projeto REUNI tenha impactado diretamente na eficiência das IFES, mas se pode verificar indícios de que houve mudanças perceptíveis. / The Federal Institutions of Higher Education (IFES) are composed of universities, isolated institutions and technological teaching centers. They play a fundamentally strategic role in the economic, social, scientific and technological development of the country. Increasingly, IFES is being called to account to society and to the regulatory and oversight bodies of the country about the impacts and results of their actions, since they use public financial resources. This research aimed to evaluate the efficiency of SFIs in relation to public resources expenditures in the REUNI period (2010 to 2012) and post-REUNI (2013 to 2015). The performance indicators of the Management Reports of the Court of Auditors of the Union (TCU) were used to analyze the quality of expenditure in the IFES. The methodology used to measure this efficiency of the IFES was Data Envelopment Analysis (DEA) and the Malmquist index. The calculation of the efficiency analysis for the years 2010 and 2015 showed that in 2010 the IFES considered efficient were 58% of the sample, and in the year 2015 presented a reduction, passing to 40% of the sample, being that they stood out as efficient in these The Federal Technological University of Paraná, the Federal University of Lavras, the Federal University of Rio Grande do Sul and the Federal University of Health Sciences of Porto Alegre. In the analysis of the Malmquist index, it was verified that only five IFES (10% of the sample) presented increase of productivity, being the largest increase occurred in the Federal University of Pelotas (25.8%), followed by the Federal University of Tocantins (13.2%), Federal University of ABC (9.9%), Federal Rural University of Amazonia (8.7%) and Federal State University of Rio de Janeiro (4.1%). With the results presented in the research, it is not possible to state that the end of the REUNI project had a direct impact on the efficiency of the IFES, but evidence can be found that there were perceptible changes.

Made available in DSpace on 2014-12-17T14:53:19Z (GMT). No. of bitstreams: 1 BrunaCS_DISSEERT.pdf: 3394084 bytes, checksum: 6654b39078699171ed0900232cadff42 (MD5) Previous issue date: 2013-05-27 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / No Brasil, com a promulga??o da Lei de Inova??o Tecnol?gica, tem-se intensificado as medidas de incentivo ? inova??o e ? pesquisa cient?fica no ambiente empresarial, visando ao alcance da autonomia tecnol?gica e ao desenvolvimento industrial do pa?s. Avalia??o dos investimentos p?blicos pode ser um instrumento importante para garantir o adequado direcionamento na aloca??o de recursos limitados. Com base nisso, o presente trabalho tem como objetivo geral analisar a efici?ncia e os ganhos de produtividade de micro e pequenas empresas beneficiadas com investimentos da Funda??o de Apoio ? Pesquisa do Estado do Rio Grande do Norte, pelo Programa PAPPE Integra??o INOVA, para a realiza??o de pesquisas em inova??o tecnol?gica. A pesquisa foi desenvolvida no Estado do Rio Grande do Norte, nas empresas financiadas pela FAPERN, sendo conduzida por meio de um survey explorat?ria-descritiva, com o prop?sito de coletar dados prim?rios necess?rios para a execu??o das t?cnicas An?lise Envolt?ria de Dados e ?ndice de Produtividade Malmquist. O plano populacional contemplou uma amostra de 26 projetos vinculados a 25 empresas. Para conduzir essa avalia??o, utilizaram-se os modelos: (1) DEA-BCC, para determinar a efici?ncia t?cnica e esclarecer os retornos vari?veis ? escala, empregando dois inputs (capital FAPERN e capital empresa) e tr?s outputs (faturamento para o projeto INOVA-RN, crescimento das vendas e n?mero de novos empregos); e, (2) DEA-Malmquist, para avaliar a evolu??o da produtividade, utilizando dois input (capital FAPERN e capital empresa) e dois outputs (faturamento para o projeto INOVA-RN e crescimento das vendas). Admitiu-se, em ambos os casos, a orienta??o ? maximiza??o dos outputs. Os resultados foram apresentados em tr?s etapas: etapa I caracteriza??o qualitativa do perfil dos projetos baseados nos aspectos da inova??o tecnol?gica; etapa II an?lise da efici?ncia das empresas; e, etapa III evolu??o da produtividade das empresas. Por fim, esses resultados possibilitaram identificar, para o ?rg?o fomentador, quais empresas aplicaram melhor os recursos p?blicos em inova??o tecnol?gica, colaborando na orienta??o futura de empresas a maximiza??o dos efeitos de investimentos em inova??o, com base nos diagn?sticos das empresas que obtiveram efici?ncia m?xima e, ainda, promovendo subs?dios te?ricos e anal?ticos que possam vir auxiliar ? tomada de decis?o de organiza??es p?blicas no direcionamento a efetividade de pr?ticas mais promissoras como no planejamento de pol?ticas p?blicas