I do not own a car any more: An analysis of possessions’ disposal and changes in consumers’ identities

This research aims to understand the process of cars' disposal, its context, its influences and its impacts on the meanings for consumers and their identities, as well as the new behaviours of these consumers when living without their car(s). We conducted, analysed and interpreted 20 in‐depth interviews with consumers that had previously owned at least one car and had no financial reasons for disposing of their car(s), but had decided to do it, and started to live without them, adopting alternative methods of transportation. Our findings show that these consumers faced a complicated process regarding the disposal of their car(s) but, due to the changes in their circumstances, they re‐signified relevant concepts that were connected to the ownership of a car: Their perception of freedom, comfort, safety and status changed during and after the disposal of their car(s). We also noticed that there were implications in terms of changes in their attitudes and behaviour as both citizens and consumers. As a contribution to the literature, our findings indicate that the re‐signifying of concepts related to possession of the object as well as changes in attitudes and behaviours that consumers undergo in the postdisposal stage, must be included in the model proposed for evaluating consumer behaviour in product disposal.     

The finance-growth nexus: The role of banks

We contribute to the finance-growth nexus literature by showing that credit origin, bank ownership, type of credit, and bank type matter in economic growth. We use a unique dataset covering 5555 cities in Brazil, with granular information on credit characteristics. We find that non-earmarked credit to the corporate sector is associated with municipal economic growth more strongly than earmarked credit, despite the increase in the relevance of the latter after the global financial crisis. We also find that the type of credit—whether the loans are general purpose or for a specific purpose—is associated with economic growth in different ways. Overall, credit provided to the corporate sector by domestic private banks is correlated with higher economic growth rates. In contrast, the relationship between credit from state-owned banks and economic growth becomes statistically significant only after the crisis. Although we follow the finance-growth literature in our empirical exercises using internal instruments in generalized method of moments (GMM) estimations, we also conduct robustness tests using two additional external instruments: the number of complaints filed against each bank and local credit accessibility. Our findings with external instruments are the same with respect to the use of traditional internal instruments in GMM estimations.     

The influence of user-supplier relationship on innovation dynamics of Oil & Gas industry

ABSTRACT

This paper analyses the role of user-supplier relationships in the innovation dynamics of the Oil and Gas (O&G) industry, from an analysis supported by R&D and patent application data. This paper points to some recent interesting phenomena in the O&G sector, such as: (i) the remarkable advancement of two Chinese oil companies; (ii) the significant growth in O&G companies’ technological engagement in exploration and production (E&P) from the 2000s; (iii) the non-negligible increase in the application of O&G companies’ patents for renewable energy. Moreover, by working with the oil and gas chain complete, we show that the performance of the companies oil and gas equipment and services industry (O&GES) is restricted to the upstream activities. Finally, we bring up some arguments that have as objective relativise the typology of R&D intensity adopted by OECD.     

IF WE CONFESS OUR SINS

I consider a scenario where a social planner suspects that a crime has been committed. There are many suspects and at most one of them is guilty. I characterize the optimal mechanism for the social planner under different assumptions with respect to her commitment power. I find that the optimal mechanism is a “confession inducing mechanism”: Before an investigation, each agent can confess to being guilty in exchange for a reduced punishment. I find that these mechanisms do better than the traditional trial mechanism because of information externalities: When an agent credibly confesses his guilt, he reveals everyone else's innocence.     

Forecasting UK consumer price inflation using inflation forecasts

The inflation rate is a key economic indicator for which forecasters are constantly seeking to improve the accuracy of predictions, so as to enable better macroeconomic decision making. Presented in this paper is a novel approach which seeks to exploit auxiliary information contained within inflation forecasts for developing a new and improved forecast for inflation by modeling with Multivariate Singular Spectrum Analysis (MSSA). Unlike other forecast combination techniques, the key feature of the proposed approach is its use of forecasts, i.e. data into the future, within the modeling process and extracting auxiliary information for generating a new and improved forecast. We consider real data on consumer price inflation in UK, obtained via the Office for National Statistics. A variety of parametric and nonparametric models are then used to generate univariate forecasts of inflation. Thereafter, the best univariate forecast is considered as auxiliary information within the MSSA model alongside historical data for UK consumer price inflation, and a new multivariate forecast is generated. We find compelling evidence which shows the benefits of the proposed approach at generating more accurate medium to long term inflation forecasts for UK in relation to the competing models. Finally, through the discussion, we also consider Google Trends forecasts for inflation within the proposed framework.     

Taking services to foreign markets: A taxonomy of Brazilian service firms

This study develops a taxonomy of international service firms from an emerging market, Brazil, and assesses whether there are significant differences in international performance between the groups. After an extensive literature review, a survey was carried out with a sample of international service firms located in an emerging economy, Brazil. Using as a departure point two theoretical perspectives, the internationalization process theory and industrial organization theory, in addition to service dimensions extracted from the empirical service management literature, the study identifies four groups—large traditionals, generalist neophytes, solitary traditionals, and daring differentiators—based on firm characteristics, international services delivered, internationalization process characteristics, and international strategies adopted. The findings suggest that there are significant differences in performance between the groups.     

Urban density and pupil attainment

We explore the association between urban density and pupil attainment using three cohorts of pupils in schooling in England. Although—as widely recognised—attainment in dense urban places is low on average, this is not because urban environments disadvantage pupils, but because the most disadvantaged pupils with low average attainments attend the most urbanised schools. To control for this, we exploit changes in urban density faced by pupils during compulsory transition from Primary to Secondary school, and measure educational progress at the end of the Secondary phase, relative to attainment at the end of Primary schooling. Our results suggest that there are small but significant benefits from education in schools in more densely urbanised settings. We detect this density advantage even amongst pupils moving relatively short distances between Primary and Secondary schools within urban areas, so we cannot attribute it to broad urbanisation effects experienced by pupils making rural–urban school moves. A more likely explanation lies in greater school choice and competition between closely co-located educational providers.     

Maximum entropy: a stochastic frontier approach for electricity distribution regulation

The literature on incentive-based regulation in the electricity sector indicates that the size of this sector in a country constrains the choice of frontier methods as well as the model specification itself to measure economic efficiency of regulated firms. The aim of this study is to propose a stochastic frontier approach with maximum entropy estimation, which is designed to extract information from limited and noisy data with minimal statements on the data generation process. Stochastic frontier analysis with generalized maximum entropy and data envelopment analysis—the latter one has been widely used by national regulators—are applied to a cross-section data on thirteen European electricity distribution companies. Technical efficiency scores and rankings of the distribution companies generated by both approaches are sensitive to model specification. Nevertheless, the stochastic frontier analysis with generalized maximum entropy results indicate that technical efficiency scores have similar distributional properties and these scores as well as the rankings of the companies are not very sensitive to the prior information. In general, the same electricity distribution companies are found to be in the highest and lowest efficient groups, reflecting weak sensitivity to the prior information considered in the estimation procedure.

     

Running for pleasure or performance? How store attributes and hedonic product value influence consumer satisfaction

Previous retailing studies have linked consumer satisfaction to perceived hedonic or utilitarian product value. This research extends previous studies by examining how the context in which the product is purchased (store attributes) and product value influence consumer satisfaction. We conducted a field study with 213 consumers attending two major running events. The findings from structural equation modelling suggest that a specific combination of store attributes (tangible and intangible) and hedonic product value has a positive influence on satisfaction. Results also show that tangible store attributes have a stronger positive impact on utilitarian (vs. hedonic) product value, and that intangible store attributes have a positive impact on hedonic product value. However, we found that only hedonic product value has a positive impact on satisfaction. This research contributes to theory by showing that a match between store attributes (tangible and intangible) and hedonic product value can positively influence satisfaction. In managerial terms, the findings provide insights on how to improve consumer satisfaction in retail environments through store attributes and hedonic product value.