Are Flexible Exchange Rate Regimes more Volatile? Panel GARCH Evidence for the G7 and Latin America

This paper investigates empirically the relationship between exchange rate (ER) regimes and volatility of real exchange rate depreciation (RERD), comparing the G7 and 17 Latin American (LA17) countries, during 1970–2010. We estimate a panel autoregressive model with generalized autoregressive conditional heteroskedasticity (GARCH) errors and regime‐specific effects on both the conditional mean and conditional variance. For the G7, we find that, relative to the fixed ER regime, only the freely floating regime shows higher RERD volatility; under the managed floating regime the RERD is equally volatile and under the crawling peg it is actually less volatile. Instead, in the case of the LA17, more flexible ER regimes are associated with more volatile RERD rates, with higher volatility under the managed floating regime than under the crawling peg and with extremely high volatility under the “freely falling” ER regime.     

Restrictions on Foreign Investments and the Relocation of Firms

We analyse why the Chinese government sets restrictions on foreign direct investment (FDI). We focus our analysis on the percentage of shares in relocated firms that the government allows to be foreign‐owned. The government's decision on this percentage depends on the entry cost, the number of firms that relocate and the weight of the consumer surplus in the objective function of the government. We show that by its choice of this percentage, the Chinese government may restrict or encourage FDI to its country. We also find that if the government may subsidise the fixed entry cost, it provides a subsidy only when the producer surplus has a greater weight than the consumer surplus in weighted welfare. In that case, the subsidy encourages relocation by both firms and permits the government to allow a lower percentage of shares to be foreign‐owned in relocated firms.     

Analysis of Social Performance in the Spanish Financial Industry Through Public Data. A Proposal

Banking firms are becoming increasingly aware that their clients’ management of environmental and social risks may in term threaten their own business as lenders and investors. In addition, stakeholders are requiring banks to improve their social performance. As a result, some banks are developing corporate social responsibility (CSR) policies and management systems to reduce potential risks and improve their performance. In the Spanish financial system, half of the banking firms are savings banks, most of which have always used some Corporate Social Responsibility (CSR) criteria in their management. Private Banks have only recently started to integrate social aspects in their performance. However, no formal analysis has been carried out on the impact of CSR strategies. Various initiatives have been launched nationally and internationally to include the social dimension in management systems. The purpose of this research is to analyse the social performance of the main Spanish financial companies through public data such as social or sustainability reports and media sources. In order to do this, we need to determine which CSR criteria most greatly affect banking firms and to choose the most accurate quantitative and qualitative indicators to measure social performance.     

Isolating the geodemographic characterisation of retail format choice from the effects of spatial convenience

The authors analyze the relationship between the geodemographic profile of consumers and retail format choice while accounting for the effects of spatial convenience. The proposed analytic model assumes that format choice is an implicit portion of store choice, such that a geodemographic profile functions as a determinant of format choice, and spatial convenience is a determinant of store choice. The results show that some geodemographic dimensions capture preferences for certain store formats and thereby facilitate retailers’ selection of geographic markets. The results also indicate that obviating the effect of spatial convenience may lead to biased estimations.     

Private-to-private Corruption

The cases of corruption reported by the media tend almost always to involve a private party (a citizen or a corporation) that pays, or promises to pay, money to a public party (a politician or a public official, for example) in order to obtain an advantage or avoid a disadvantage. Because of the harm it does to economic efficiency and growth, and because of its social, political and ethical consequences, private-to-public corruption has been widely studied. Private-to-private corruption, by contrast, has been relatively neglected and only recently has started to receive the attention it deserves. The purpose of this paper is to offer some thoughts on the nature and importance of private-to-private corruption; the legal treatment it receives in some of the world's leading countries; and the measures that companies can take to combat it, with special consideration of its ethical aspects.     

Cultural Tourism And Flamenco In The City Of Cordoba (Spain)

Flamenco is a tourist product that can attract many visitors from around the world, and the city of Cordoba (Spain) has an important role in the origins of flamenco. This work studies whether the satisfaction of cultural tourists who visit the city can be influenced by cultural offers related to flamenco. To achieve this objective, fieldwork was carried out based on 709 surveys conducted in the most important flamenco “tablaos” (stages) of the city. The techniques of factorial analysis and linear adjustment were used. The results show that flamenco can be a product that complements the satisfaction of cultural tourists.     

Food waste paradox: antecedents of food disposal in low income households

This article aims to identify antecedents of food waste among lower‐middle class families – a paradox, given the financial constraints this population faces. The importance of this research is evident in escalating environmental pressures for better use of our planet's scarce resources. Given that most of the world is low‐income, any behavioral change in this population is likely to have a considerable impact. Empirical data were collected from 14 lower‐middle income Brazilian households, based on observations, in‐depth interviews, photographs and a focus group (n = 6). Five major categories of food waste antecedents were identified: (1) excessive purchasing, (2) over‐preparation, (3) caring for a pet, (4) avoidance of leftovers and (5) inappropriate food conservation. Several subcategories were also found, including impulse buying, lack of planning and preference for large packages. Surprisingly, findings show that strategies used to save money – such as buying groceries in bulk, monthly shopping trips, preference for supermarkets and cooking from scratch – actually end up generating more food waste. This mitigates the savings made during the purchasing phase.     

Evaluation of the Spanish flat rate for young self-employed workers

The dramatic growth of unemployment figures in Spain during the economic downturn has increased policies fostering entrepreneurship, particularly among the youth. The aim of this paper is to evaluate the impact of a Spanish programme fostering self-employment among unemployed youth workers. We use an administrative dataset (the Continuous Working Lives Sample) to study the survival of subsidized start-ups compared to those not subsidized. Using a differences-in-differences approach, our results suggest that the programme has no effect in terms of survival rates.     

Integrating Decision-Making Support in Geocollaboration Tools

Collaborative spatial decision making (CSDM) involves multiple stakeholders making strategic decisions based on spatial data. Current CSDM tools have been exploring different ways to integrate spatial data with collaboration, distribution and mobility. Notably, decision-making support has not seen the same level of attention. This paper discusses the challenges raised by the integration of decision-making models in CSDM tools. We review a large collection of decision-making models using three different views: sequential, dynamic and continuous. From this review we derive a conceptual model and a set of functional requirements necessary to integrate decision-making support in CSDM tools. The conceptual model highlights the importance of several functions in decision-making processes: representing problems, finding alternatives and making choices (sequential view); classification and communication (dynamic view); and perception, comprehension and projection (continuous view). The paper also describes a prototype developed to validate the model. The paper provides two main research contributions: a unified view of decision-making support and an innovative CSDM tool blending spatial data with decision-making support.     

Comovement and investment banking networks

We test the hypothesis that investment banking networks affect stock prices and trading behavior. Consistent with the notion that investment banks serve as information hubs for segmented groups of investors, the stock prices of firms that use the same lead underwriter during their equity offerings tend to move together. We also find that when firms switch underwriters between their initial public offering (IPO) and a seasoned equity offering (SEO), they comove less with the stocks associated with the old bank and more with the stocks associated with the new bank. This change in comovement is greater for stocks completing their first SEO and for those experiencing large changes in institutional ownership.