ResumoA recente evolução da ciência brasileira é caracterizada pelo crescimento acelerado da produção científica e pela intensificação da colaboração entre seus pesquisadores. Este trabalho tem por objetivo apresentar elementos sobre o papel da geografia na evolução da produção e colaboração científica no Brasil entre 1992 e 2009, por meio da identificação de padrões espaciais e da importância relativa das regiões em termos de produção, especialização científica e grau de interação colaborativa com outras regiões. Para este estudo, foram desenvolvidas (i) uma base de dados única, composta por mais de um milhão de pesquisadores e sete milhões de publicações científicas registradas na Plataforma Lattes, e (ii) diferentes redes de colaborações (coautoria) científicas entre regiões e estados brasileiros. Embora os principais resultados apontem para a heterogeneidade espacial da produção e colaboração científica, existem fortes evidências de um processo de desconcentração espacial ao longo do tempo associado à expansão das redes de colaboração e ao aumento da participação de autores das regiões cientificamente menos tradicionais, tais como Sul e Nordeste. Observam-se diferenças acentuadas entre as distribuições regionais da produção e as configurações espaciais das redes de cada área do conhecimento. Neste trabalho ressalta-se a importância das redes de colaboração científica no tocante à formulação de políticas de Ciência, Tecnologia e Inovação no Brasil no sentido de promover o incremento de qualidade e a desconcentração regional da atividade científica e, consequentemente, o desenvolvimento das regiões menos favorecidas. Palavras

The tendency towards urbanization in the emerging world accompanied by the constant pursuit for higher productivity prompts an urge for studies aiming at understanding agglomeration economies. In the context of Brazil, a country with extremely high regional disparities, exploring this issue is important not only for private stakeholders, but also for public policy practitioners. In the framework of static agglomeration effects, we investigate the industrial scope of agglomeration economies in Brazil. On the basis of identified registration data covering the whole formal labor market in three distinct years (2004, 2008 and 2012), we estimate separate models for the logarithm of the hourly individual wage for five broad economic sectors (S1-Manufacturing low-tech, S2-Manufacturing medium-tech, S3-Manufacturing high-tech, S4-Services less-knowledge, and S5-Services high-knowledge). Different estimation strategies are considered in a two-stage mode: with and without individual fixed effects in the first stage, and with and without instrumental variables for population density in the second stage. The main results indicate that there is not a unique optimal local industrial mix to foster productivity in different technological sectors. Comparing possible theoretical approaches (MAR, Jacobs, Porter) related to combinations of diversity, specialization and competition, we find that for S5 only diversity is significant (and positive), suggesting that a Jacobs' perspective is rather adequate. For S1, S2 and S4, the MAR framework seems more adequate to explain the underlying patterns. In the case of S3, there are elements from both Marshall's and Jacobs' perspectives. These results seem to be robust to different specifications and estimation strategies. Finally, the urbanization economies coefficient appears to be positive and significant for all sectors, ranging from 0.0511 to 0.0940 in different specifications, under the simplest estimation (OLS in the first and the second stages). Ordering these effects between the sectors from the highest to the lowest, we find the following sequence: S3, S1, S5, S4 and S2. This can be considered as evidence that high-tech and low-tech manufacturing sectors benefit more from the urban or metropolitan scale in Brazil, followed by services associated with higher knowledge intensity.

No abstract

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract: The city of São Paulo, home to 11 million people, suffers constantly the effects of flooding caused by extreme precipitation. Localized floods occur every summer in various parts of the city. Besides the losses and inconvenience felt by the residents, floods produce damages that cross the city boundaries, affecting income and output in the metropolitan area as well as in other parts of the state and the country. The objective of this study is to evaluate the economic impacts of floods in the city of São Paulo through the use of a spatial CGE model integrated to GIS information related to the location of points of floods and the firms within their influence. It is estimated that floods contributed to reduce city growth and residents welfare, as well as to hamper local competitiveness in both domestic and international markets. An intra-city total impact-damage ratio of 2.2 and an economy-wide total impact-damage ratio of 5.0 were found. Terms of use: Documents in EconStor may

The aim of this paper is to assess the regional economic impact of the lockdown measures ordered by the national government to prevent the spread of COVID-19. Using an input-output model, we estimate the economic loss of extracting groups of formal and informal workers from different economic sectors. Results show monthly economic losses that represent between 0.5% and 6.1% of national GDP, depending on the scenario considered. Accommodation and food services, real estate, administrative services, construction and trade are the most affected sectors. Regionally,

Abstract. This paper analyses the consumption patterns of tourists coming from different domestic origins and choosing other domestic destinations in Brazil, in terms of expenditure level and composition. We also look at different alternatives of financing tourist expenditures and their implications for the net multipliers in an integrated framework. We use survey data for domestic tourism in Brazil to consolidate an interregional matrix of expenditures by tourists. We then use an interregional inputoutput system for Brazil to compute the tourism multipliers effects based on alternative hypotheses for the sources of financing of expenditures by tourists. The results are analyzed and their implications for regional inequality in the country are discussed.

Brazilian scholarly output has rapidly increased, accompanied by the expansion of domestic collaborations. In this paper, we identify spatial patterns of collaboration in Brazil and measure the role of geographic proximity in determining the interaction among researchers. Using a database comprising more than one million researchers and seven million publications, we consolidated information on interregional research collaboration in terms of scientific coauthorship networks among 4,615 municipalities during the period between 1992 and 2009, which allowed us to analyze a range of data unprecedented in the literature. The effects of geographic distance on collaboration were measured for different areas by estimating spatial interaction models. The main results provide strong evidence of geographic deconcentration of collaboration in recent years, with increased participation of authors in scientifically less traditional regions, such as south and northeast Brazil. Distance remains a significant factor in determining the intensity of knowledge flow in collaboration networks in Brazil, as an increase of 100 km between two researchers reduces the probability of collaboration by an average of 16%, and there is no evidence that the effect of distance has diminished over time, although the magnitude of such effects varies among networks of different areas.

No abstract