Rio reconstruction and flood prevention in Brazil

Until the Rio Flood Reconstruction and Prevention Project, disaster-related projects funded by the World Bank focused primarily on reconstruction, especially immediate, short-term recovery. The Rio de Janeiro project was notable as a targeted effort to reduce disaster vulnerability by promoting long-term multisectoral development strategies. It taught that reconstruction projects must address specific disaster vulnerabilities as well as cross-sectoral needs in Improving urban environmental management. The project represents a significant step towards developing a strategy for long-term prevention and mitigation of natural disasters and environmental degradation. It is also a good example of an effort to develop support for long-term environmental policies by strengthening indigenous managerial and planning capabilities—something that was not possible in short-term recovery projects.     

Information, learning, and the stability of fiat money

We analyze the stability of monetary regimes in an economy where fiat money is endogenously created by the government, information about its value is imperfect, and learning is decentralized. We show that monetary stability depends crucially on the speed of information transmission in the economy. Our model generates a dynamic on the acceptability of fiat money that resembles historical accounts of the rise and eventual collapse of overissued paper money. It also provides an explanation of the fact that, despite its obvious advantages, the widespread use of fiat money is only a recent development.     

Reviewing and improving performance measurement systems: An action research

Reviewing and updating performance measurement systems (PMS) based on internal and external environmental changes are as important as developing and implementing them. The results of an action research study carried out to improve the PMS of an energy company's maritime transportation area are presented. The findings of this longitudinal study illustrate the difficulty and complexity of reviewing and updating an energy company's PMS for its maritime transportation area. This difficulty is due to the involvement of PMS users, the assessment of performance measures, the establishment of targets, and data availability. The complexity is related to the changes in information technology when implementing changes in procedures for computing performance measures. This article contributes to a better understanding of the process of reviewing and updating a company's existing PMS.     

Good news and bad news in two-armed bandits

This note provides a characterization of optimal policies in a class of two-armed bandits that allows for correlated arms. This characterization extends previously known results in the literature. In particular, it implies, under a mild continuity assumption, the optimality of cutoff belief strategies for this class of bandits. Cutoff beliefs are not unique, though.     

The essentiality of money in environments with centralized trade

Lagos and Wright (2005) introduced an influential model of monetary exchange in which trade alternates between centralized and decentralized markets and money is essential. A limitation of their model and of the literature that follows is that they do not provide a microfoundation for the process of exchange in the centralized market. In this paper, we show that how one models exchange in the centralized market matters for the essentiality of money by describing the centralized market as a strategic market game and studying conditions under which money is essential.     

Impact of funding sources on innovation: evidence from Brazilian software companies

This paper aims to investigate the impacts of different sources of innovation funding on company performances in the context of an emerging economy. Brazilian software companies are selected as a case for this investigation. Data – related to the types of funding support received and eight types of company performances measured in binary scales – was collected through an online survey from 188 companies located across Brazil. A multivariate probit model was estimated to assess the impacts of different funding schemes on company performances – controlling for other confounding effects. The findings confirmed the critical importance of public innovation funding, and revealed that companies that: (1) Used public funds were more likely to become nationally competitive; (2) Used loans from commercial banks were less likely to become nationally and internationally competitive; (3) Reinvested revenues were more likely to gain market share, and help in increasing the number of employees; (4) Not aware of public funding schemes were less likely to invest on research, development, and innovation. The overall findings suggest the positive impacts of innovation funds on company performance. They can serve as a policy guide to develop targeted performance strategy to determine which funding scheme would be effective to foster what outcomes.     

A review of spatial localization methodologies for the electric vehicle charging infrastructure

With view to the high share of the transport sector in total energy consumption, e-mobility should play an important role within the transition of the energy systems. Policymakers in several countries consider electric vehicles (EV) as an alternative to fossil-fueled vehicles. In order to allow for the development of EV, the charging infrastructure has to be set up at locations with high charging potential, identified by means of various criteria such as demand density or trip length. Many methodologies for locating charging stations (CS) have been developed in the last few years. First, this paper presents a broad overview of publications in the domain of CS localization. A classification scheme is proposed regarding modeling theory and empirical application; further on, models are analyzed, distinguishing between users, route or destination centricity of the approaches and outcomes. In a second step, studies in the field of explicit spatial location planning are reviewed in more detail, that is, in terms of their target criteria and the specialization of underlying analytical processes. One divergence of these approaches lies in the varying level of spatial planning, which could be crucial depending on the planning requirements. It is striking that almost all CS locating concepts are proposed for urban areas. Other constraints, such as the lack of extensive empirical EV traffic data for a better understanding of the driving behavior, are identified. This paper provides an overview of the CS models, a classification approach especially considering the problem’s spatial dimension, and derives perspectives for further research.     

Deciding on large scale investments

This study analyses the importance of investment factors across investment sizes and the frequency of large investment decisions within the firms. We use data from 1442 investment decisions made by 226 Brazilian firms between 1997 and 2010. The results indicate that the influence of investment factors is different for investments of different sizes. The results also indicate that the increase in the frequency of large-scale investment decisions made by the firm influences especially the role of cash flow, diminishing its importance as an investment factor. This result allows one to argue that, probably, firms more experienced in large-scale decisions could be bolder in their decision-making process, relying less on the accumulation of funds through cash flow.     

Effects of international shocks and domestic macroeconomic policies upon Brazilian agriculture

An identified vector-autoregressive model is used to analyze the transmission of external commodity shocks to the Brazilian economy. The effects of the interaction between domestic macroeconomic (monetary and exchange rate) policies and external shocks to agricultural commodity (raw material and food) prices and crude oil price upon domestic (agriculture/industry) terms of trade are estimated.