Propensity to firm creation: empirical research using structural equations

The identification of the entrepreneurs’ characteristics and the knowledge of the entrepreneurial profile of university students have been assuming a growing importance in the development of educational programs directed towards the entrepreneurship and start-up processes. This study aims to identify the factors that most contribute for the intention to start up a business. The research also tries to identify the profile of a potential entrepreneur student concerning several characteristics: personal attributes, family, demographic variables and motivations. Research findings include the idea that entrepreneurship education is the most relevant factor in what concerns the propensity to business creation. On the other side, personal characteristics have an important role in shaping motivation to start-up a business and perceived hurdles have a negative impact in the intention to start-up. The results may be relevant when developing an adequate educational program directed to the entrepreneurship education and start-up processes.     

Central bank disclosure as a macroprudential tool for financial stability

The Basel Capital Accord (pillar 3) states that disclosure of information (transparency) is essential to financial stability. This study analyzes, through inflation reports, the disclosure of information from the Central Bank of Brazil concerning the credit market. We consider credit risk and capital buffers as measures of financial stability in this analysis. Furthermore, in order to measure the perception of the monetary authority on the credit market, we built two indices based on the central bank’s communication on credit development. We performed a panel data analysis based on a sample of 125 banks for the period from June 1999 to September 2014 (7000 observations). The findings suggest that central bank communication regarding expectations concerning the credit market contributes to financial stability. Therefore, this kind of communication of central banks (about credit development) may constitute an important macroprudential tool to improve financial stability.     

The Effect of Explicit Communication on pricing: Evidence from the Collapse of a Gasoline Cartel

We study the collapse of collusion in Québec's retail gasoline market following a Competition Bureau investigation, and show that it involved two empirical regularities: high margins, and asymmetric price adjustments. Using weekly, station‐level prices we test whether collusion was successful, and whether asymmetric adjustments were part of the cartel's strategy. We do so in the markets targeted by the investigation, and in markets throughout the province with similar pre‐collapse pricing (cyclical markets). Our results suggest that stations in both target and cyclical markets adjusted pricing following the announcement: margins fell (by 30%/15% in target/cyclical markets), and adjustments became more symmetric.     

Modeling the Impacts of Corporate Commitment on Climate Change

The aim of this paper is to propose an integrative framework for understanding the determinants of business strategies to reduce greenhouse gas emissions and the impact of these determinants on performance. The proposed structural equation model is based on a survey of 319 Canadian manufacturing firms. The study calls into question the traditionally positive relationship between a firm's environmental commitment and its economic motivations. However, the results also show a win–win relationship between the commitment to reduce greenhouse gas emissions and financial performance. This study contributes to the understanding of the motivations underlying the efforts manufacturers make to tackle climate change and their economic benefits. Copyright © 2011 John Wiley & Sons, Ltd and ERP Environment.     

Construct validity and second-order factorial model

Three second-order factorial models are defined, using the LISREL notation, to assess the univocity of a construct. The first model assumes that the constructs are heterogeneous, the second that they are homogeneous. The third model introduces the notion of partial homogeneity between constructs. Partial homogeneity is defined in terms of a LISREL second-order factor model. In some cases, this model offers a viable alternative to the collapsing of items into a unique scale. An example is given of scales which fit the partial homogeneity model.     

Foreign banks in Japan: A study of a Japanese deregulation process

The deregulation of foreign banks in Japan, although corresponding in broad outline to world-wide trends, has diverged substantially in many particulars from patterns seen elsewhere. It has tended to be excruciatingly slow and piecemeal and to have been of minimal benefit to foreign banks. A review of this process leads to the conclusion that these characteristics result from organisational and political-bureaucratic factors inherent to the Japanese style of government which is, in turn, partially a reflection of Japanese culture. Although these non-economic factors have influenced the specific pattern of change, its overall direction appears to have been consistent with the broader national interest.The authors wish to acknowledge financial support from the Social Science and Humanities Research Council of Canada, the Florsheimer Center for Policy Studies, and the Krueger Center for Financial Research.     

Post-Communist Borders and Territories: Conflicts,Learning and Rule-Building in Poland

In the post-Communist period, the territory — which under communism was an expression of the sovereignty of the centralized state — now carries the founding aspirations of local or regional communities which are determined to reconstitute political relations on a different basis. This is illustrated by focusing on negotiations to define cross-border (Oder-Neisse) economic privileges and on political competences in the region of Upper Silesia. An examination of these themes allows us to define the post-Communist identity as a construct of collective action, based on the reinvestment of various historical resources and on the formation of cleavages directed at redefining relations between the centre and the political periphery. Several features of the old political order have been reconstituted in this way. — Dans la période post-communiste, le territoire — qui sous le communisme était une expression de la souveraineté de l’état centralisé— supporte maintenant les aspirations fondatrices des communautés locales ou régionales qui sont résolues à reconstituer les relations politiques sur des bases différentes. Une examination des négociations pour définir des privilèges politiques à travers la frontière (Oder-Neisse) et pour les compétences politiques dans la région de Haute-Silésie illustre ceci. L’exploration de ces thèmes nous permet de définir l’identité post-communiste comme une construction de l’action collective, basée sur le réinvestissement de diverses ressources historiques et sur la formation de divisions orientées vers la redéfinition des relations entre le centre et périphérie politique. Plusieurs traits de l’ancien ordre politique ont ainsi été reconstitués.     

On the Endogeneous Formation of Secondary Employment Centers in a City

A new approach is proposed to explain the formation of secondary employment centers in a monocentric city. Specifically, a large firm considers locating a new plant in a city where none of the existing businesses has a significative share of the labor force, so that its location can be viewed as a secondary employment center. The choice of this location results from the interplay between the process of competition on both the labor and land markets and the technological externalities generated by the proximity of the city center where other firms are located.     

Gender and ethnic earnings gaps in seven West African cities

In this paper, we measure, compare and analyse gender and ethnic earnings gaps in seven West African capitals using data from an original series of urban household surveys. Our results show that gender earnings gaps are large in all the cities in our sample with significant variations across cities. Cities with large gender earnings gaps are also where gender education gaps are wider and where the female labour market participation is highest. Decomposition of the gender gaps shows that differences in characteristics explain around 40% of the raw gender gap on average, but this varies somewhat across cities. The results of the full decomposition of the gender earnings gaps suggest that differences in sector allocation contribute, on average, to one third of gender earnings gaps. Gender gaps are very wide in the informal sector and differences in micro-firm characteristics also account for differences in self-employment earnings. In contrast to the large gender earnings gaps measured in the seven cities, majority ethnic groups do not appear to be in a systematically advantageous position on the urban labour markets in our sample of cities, and observed gaps are small compared with gender gaps. Looking at more detailed levels of ethnic disaggregation, ethnic earnings differentials are found to be systematically smaller than gender differentials. Moreover, none of the minority “favoured” groups seem to have any relation to the ethnicity of the Head of State at the time of the survey. Holding productive characteristics constant, some unexplained differences persist however.     

A critical overview of privacy-preserving approaches for collaborative forecasting

Cooperation between different data owners may lead to an improvement in forecast quality—for instance, by benefiting from spatiotemporal dependencies in geographically distributed time series. Due to business competitive factors and personal data protection concerns, however, said data owners might be unwilling to share their data. Interest in collaborative privacy-preserving forecasting is thus increasing. This paper analyzes the state-of-the-art and unveils several shortcomings of existing methods in guaranteeing data privacy when employing vector autoregressive models. The methods are divided into three groups: data transformation, secure multi-party computations, and decomposition methods. The analysis shows that state-of-the-art techniques have limitations in preserving data privacy, such as (i) the necessary trade-off between privacy and forecasting accuracy, empirically evaluated through simulations and real-world experiments based on solar data; and (ii) iterative model fitting processes, which reveal data after a number of iterations.