Frederico Guilherme Pamplona Moreira

The aim of this study was to investigate the factors that contribute to accidents at work on construction sites in the city of Fortaleza - CE. A total of 432 questionnaires were administered to workers at 10 different construction sites belonging to 6 different companies. Statistical models - Binary Logistic Regression (BLR) - were used to assess the likelihood of workplace accidents, correlating them with demographic, occupational and management variables. The main results showed that younger workers are more prone to accidents at work than older workers. The “Masonry, Subfloor and Structure” construction stage is more likely to have accidents than the “Installations, Facades and Finishes” construction stage. This research has contributed to a more detailed management view of local challenges, as well as to the field of knowledge dedicated to developing worker safety in high-risk environments.

This study set out to identify and analyze the factors that influence the formation of rental prices for residential apartments in the city of Belém. The approach adopted was based on the hedonic price theory, which considers that the rental price of an apartment reflects the implicit prices of its attributes—structural, locational, and neighborhood quality. The sample used consisted of 259 observations, corresponding to the rental advertisements of the representative apartments in each building. The ordinary least squares (OLS), spatial lag model (SLM), and geographically weighted regression (GWR) techniques were used in the statistical analysis in this study. The results of the OLS model showed statistical significance between the attributes analyzed and the rental price of the apartments. In turn, the SLM indicated that the structural attributes have an impact on the rental prices of neighboring apartments, configuring a contagion effect in the real estate market. The GWR model showed that there was no spatial heterogeneity in the effects of the determinants on apartment rental prices throughout the sample.

This paper is based on the recognition of a phenomenon occurring in the real estate market of Belém, Pará, in the Brazilian Amazon. The phenomenon refers to the relative increase in the size of the balconies of residential apartments launched in the city between 2005 and 2017 by construction companies, with the aim of increasing the number of units built per tower. Given that balconies were originally areas of low frequency for the occupants of apartments in this region, the aim of this article was to identify and analyze the institutional factors that support this product development strategy, which is becoming increasingly consolidated among companies. To investigate this phenomenon, we collected data from official documents provided by the Municipal Urban Planning Department (Secretaria Municipal de Urbanismo—SEURB), specifically focusing on the launch of residential high-rise buildings during the specified period. Regression techniques with ordinary least squares methods were applied, as well as econometric models of spatial autocorrelation. The results of the hypothesis tests confirmed the relationship between the restrictive parameters imposed by the city’s Urban Master Plan and the relative increase in apartment balconies. The spatial autocorrelation models confirmed the spatial spillover effect, showing that apartment projects with this characteristic tend to be concentrated in certain areas of the city, influencing each other. In order to discuss this phenomenon, the institutional theory was the protagonist of the analysis, showing how an organizational strategy can adapt to the authority that regulates the occupation of urban land in the city, meeting the two market forces and the demand and supply of apartments.

The Brazilian housing program, Minha Casa, Minha Vida (MCMV) (My House, My Life), was launched in 2009 to address the housing deficit issue, with the goal of distributing contracted housing units throughout the Brazilian territory. However, the program faces criticisms regarding the distribution of these units. Thus, this paper aims to analyze the distribution heterogeneity of these contracted housing units (CHUs). Two analytical approaches were employed: temporal and spatial (states). To achieve this objective, inferential methods such as Ordinary Least Squares (OLS), Spatial Autoregressive Model (SAR), and panel data regressions were employed. The findings indicate that, from a temporal perspective, there is a positive relationship between the urban housing deficit (UHD) and CHUs. However, the relationship is negative from a spatial perspective, characterizing such heterogeneity among the states. In addition, bordering regions are subject to mutual spatial influences in terms of contracted units, thereby reinforcing this heterogeneity over time.

This study proposed to explore real estate trends in the high-rise housing market in Belém, Northern Brazil. We based the theoretical approach on the macroeconomic, territorial, and social elements of the high-rise segment both in national and international contexts. The sample comprised 137 high-rise projects launched throughout the 2005–2017 period. A quadratic regression model confirmed real estate susceptibility to macroeconomic oscillation. A geographically weighted regression model revealed that larger dwellings were launched more in upper-income, lower formal employment rate, and lower infrastructure coverage regions of Belém. A multinomial logit regression model established differences in the launching likelihood between different categories of housing size projects. The outcomes were compared with worldwide tendencies, seeking both common and unique patterns of real estate exploitation. The methodological forms of exploring real estate trends in developing countries—which are scarcer—add significant scientific value for the urban planning community, as they assist public policy by identifying the susceptibility of urban areas to land exploitation, in addition to enabling replication of such real estate diagnostics in other cities of emerging countries.

RESUMO O principal objetivo deste artigo é analisar o relacionamento entre a Diversidade do Portfólio de Alianças (DPA) e o desempenho inovador da firma, especialmente quando esse relacionamento é moderado pela capacidade de P&D (CAPPD) e pelos Ativos Complementares Especializados (ACE) em pontos distintos de sua cadeia de valor, bem como identificar a natureza da relação existente entre tais moderadores. Métodos econométricos foram aplicados a uma base de dados composta por 13.020 empresas da indústria brasileira. Os resultados mostraram relação curvilinear em forma de U-invertido entre a DPA e o desempenho inovador, bem como a efetiva moderação positiva desse relacionamento, por parte da CAPPD e dos ACE. Esta pesquisa contribui para a literatura que aborda o conhecimento da firma, especialmente para as teorias da inovação aberta e da capacidade de absorção (CA), a primeira avançando em direção aos contextos econômicos emergentes e a segunda adicionando uma nova forma de compreender a CA, que pode ser investigada também a partir de suas dimensões espaciais, além das dimensões de habilidades e competências.

Exploration and firms’ innovative performance – How does this relationship work?