Avaliação dos processos de seleção utilizados nos programas de fomento a inovação nas micro e pequenas empresas da fundação de amparo à pesquisa do Rio Grande do Norte

Technological innovation promotes the generation of economic value by creating a new product, process or organizational management model, being classified as dynamic and multidimensional. Government intervention has the role of acting through government grant programs to foster the integration of innovative processes in small companies, due to the high costs and risks of development, strengthening the country`s economy in this phase. The distribution of this grant is determined by criteria, based especially in subjective judgments, which are based on the beliefs and perceptions about the technological opportunities and market actors involved in the process, being very difficult to measure the probability of success of the project under evaluation. This study aims to identify the most relevant selection criteria that must be inserted in grants programs at Rio Grande do Norte executed by Fundação de Pesquisa do Rio Grande do Norte (FAPERN). Initially, there was a systematization of 18 countries, covering 41 programs in foreign countries and 29 in Brazil. Based on the data collected, we conducted one survey containing four programs of FAPERN (INOVA I, INOVA II , INOVA III and INOVA IV), covering 44 companies and analyzing their responses according to the Likert scale , obtaining the degree of importance given by the respondent to each of the criteria in the questionnaire . As a result, drew up a proposal for new criteria to be used in the next FAPERN´s grants, containing 13 new criteria. It is expected, therefore, to contribute to a better spending of public funds invested in companies subsidized in Brazil

Avaliação da eficiência dos investimentos do programa Inova-RN em micro e pequenas empresas Uma integração da análise envoltória de dados e índice Malmquist

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Avaliação da interação universidade - empresas - governo no desenvolvimento de projetos inovadores no RN por micro e pequenas empresas

Knowledge and innovation were seen as major forces, both for survival, as the acquisition of competitive advantages in the Brazilian economy, as well as adding value to the product as a market differentiator. The Triple Helix model is directed toward the knowledge-based economy. Over the past six years, the Federal Government through the Financier of Studies and Projects ( FINEP ) invested in technological innovation projects, economic subsidies, about U.S. $ 1 billion supporting more than 800 projects with these resources. According to the MCTI , the Northeast, over the years 2000 to 2010 increased spending on Science and Technology (considering the activities of research and development more scientific and related activities) of the State Government in relation to its total revenue In 2000, 0.51% of total revenues were invested in Science & Technology, while in 2010 this figure increased to 1.31%. Among the nine Northeast states, Paraíba is highlighted. In 2000, 0.33% of its total revenues were directed to innovation, reaching 2.04% in 2010, the largest increase in the region while the RN invested 0.24% in 2000 and in 2010 reached the level of 1.42 %. According to IBGE, in the period 2000-2011, the micro and small enterprises surpassed the barrier of 6 million establishments. In 2000, there were 4.2 million establishments while in 2011 were 6.3 million active establishments. Therefore, throughout the period, there was a creation of approximately 2.1 million new establishments. Between 2000 and 2011, micro and small businesses have created 7.0 million formal jobs, 8.6 million jobs in 2000 to 15.6 million in 2011. This scenario shows the importance of this study in relation to the investment of governments in RD & I in micro and small enterprises. This study aims to analyze the interaction Universities - Business - Government in the development of innovation in micro and small companies in Rio Grande do Norte participants of the edicts of Inova FAPERN. We chose to adopt as a research method case study concerning the procedure of the research, exploratory, descriptive, and on documents with engineers and researchers of innovation projects approved by PAPPE Subsidy (Inova -RN I, II and III). Data collection was done through the report made by FAPERN entitled: " Evaluation of companies financed and supported by the Grant Program for Technological Innovation for Micro and Small Enterprises RN - INOVA -RN " (2010) and a questionnaire with 40 closed questions and 1 opened to 30 affirmative composed based on a 5-point Likert scale. The analysis of data was qualitative and quantitative. The study provided to identify the importance and barriers arising from the relation between Government Enterprise (micro and small) and University as essential to the economic development of the region. It was also identified that, in the innovation projects, 70% of the goods or services originating from research were to market these, 50% resulted in a patent for the company and 80% publications of scientific articles

Um estudo sobre a variabilidade do vento no nordeste do Brasil através de métodos estatísticos e via modelos dinâmicos de meso e micro escala

The objective of this study was to determine the seasonal and interannual variability and calculate the trends of wind speed in NEB and then validate the mesoscale numerical model for after engage with the microscale numerical model in order to get the wind resource at some locations in the NEB. For this we use two data sets of wind speed (weather stations and anemometric towers) and two dynamic models; one of mesoscale and another of microscale. We use statistical tools to evaluate and validate the data obtained. The simulations of the dynamic mesoscale model were made using data assimilation methods (Newtonian Relaxation and Kalman filter). The main results show: (i) Five homogeneous groups of wind speed in the NEB with higher values in winter and spring and with lower in summer and fall; (ii) The interannual variability of the wind speed in some groups stood out with higher values; (iii) The large-scale circulation modified by the El Niño and La Niña intensified wind speed for the groups with higher values; (iv) The trend analysis showed more significant negative values for G3, G4 and G5 in all seasons and in the annual average; (v) The performance of dynamic mesoscale model showed smaller errors in the locations Paracuru and São João and major errors were observed in Triunfo; (vi) Application of the Kalman filter significantly reduce the systematic errors shown in the simulations of the dynamic mesoscale model; (vii) The wind resource indicate that Paracuru and Triunfo are favorable areas for the generation of energy, and the coupling technique after validation showed better results for Paracuru. We conclude that the objective was achieved, making it possible to identify trends in homogeneous groups of wind behavior, and to evaluate the quality of both simulations with the dynamic model of mesoscale and microscale to answer questions as necessary before planning research projects in Wind-Energy area in the NEB