Correction to: Conservative solutions for progress: on solution types when combining QCA with in‑depth Process‑Tracing

Quality & Quantity -     

Consumers' perception of and attitudes towards organic food in Galicia (Northern Spain)

Although the organic sector is still relatively small, the demand for organic food is increasing throughout the world. The characterization of consumers' perception of and attitudes towards organic food is important to enable the development of marketing policies aimed at attracting conventional consumers to the sector. Consumers' behaviour studies must be conducted specifically for different regions and countries as perceptions and attitudes vary across the world. In the present study, a questionnaire was designed for administration to consumers in Galicia (Northern Spain). The questionnaire was administered to 830 consumers in 200 establishments to obtain data about the consumers' perception of and attitudes towards organic food. The survey results showed that one‐third of responders consume organic food and that the typical profile of a consumer of organic food is a middle‐aged, medium‐high class, university‐educated female living in a large village, who shops in supermarkets and preferably consume vegetables, fruits and eggs. Most people who declared that they consume organic products confuse these with home and locally produced food, indicating the potential for growth of the organic sector by providing such consumers with appropriate information. Most consumers (including conventional consumers) have a good opinion of organic food and consider that it is better for health, is of better quality than conventional food and avoid pesticide residues. However, price continues to be a barrier to the consumption of organic produce. Most respondents stated that they would consume more organic food if the price was only between 10% and 30% higher than the conventional equivalent. Finally, organic consumers in Galicia showed positive attitudes towards using local breeds in organic agriculture, both for producing food and for ecotourism and educational activities. Such activities could contribute to conserving breed biodiversity and adding value to organic farming.     

The virtuous circle of human resource investments: A precrisis and postcrisis analysis

We propose a dynamic model of positive feedback between human resource (HR) investments and companies' economic performance. The model assumes that HR investment increases profitability through labor productivity and, in turn, profitability improves HR investment through organizational slack. Based on data from a sample of 2,497 industrial companies over a 7‐year period (2005–2011), longitudinal analysis corroborates the existence of a two‐way relationship between HR investment and profitability over time. However, the emergence of an economic crisis weakens this feedback, identifying the effect of organizational slack on HR investment as the weakest causal chain link. In a postcrisis period, HR investment is not such a high priority for managers.     

Administración del riesgo crediticio al menudeo en México: una mejora econométrica en la selección de variables y cambios en sus características

The early prediction of bad debtors in revolving loans in Mexico is a relevant current issue. The proposed econometric model of behavioral scoring considers the changes in the characteristics of consolidated clients and produces better results than those obtained with methodology used by the CNBV on provisions. The obtained results show the possibility of replacing the current model, minimizing the expected loss and increasing the ROA of Mexican financial institutions in 2.20% complying the methodology and statistical testing criteria according to the Unique Banking Dispositions and the guidelines of Basel II on credit risk.     

On an efficient multiple time step Monte Carlo simulation of the SABR model

In this paper, we will present a multiple time step Monte Carlo simulation technique for pricing options under the Stochastic Alpha Beta Rho model. The proposed method is an extension of the one time step Monte Carlo method that we proposed in an accompanying paper Leitao et al. [Appl. Math. Comput. 2017, 293, 461–479], for pricing European options in the context of the model calibration. A highly efficient method results, with many very interesting and nontrivial components, like Fourier inversion for the sum of log-normals, stochastic collocation, Gumbel copula, correlation approximation, that are not yet seen in combination within a Monte Carlo simulation. The present multiple time step Monte Carlo method is especially useful for long-term options and for exotic options.     

Forecasting US consumer price index: does nonlinearity matter?

The objective of this article is to predict, both in sample and out of sample, the consumer price index (CPI) of the US economy based on monthly data covering the period of 1980:1–2013:12, using a variety of linear (random walk (RW), autoregressive (AR) and seasonal autoregressive integrated moving average (SARIMA)) and nonlinear (artificial neural network (ANN) and genetic programming (GP)) univariate models. Our results show that, while the SARIMA model is superior relative to other linear and nonlinear models, as it tends to produce smaller forecast errors; statistically, these forecasting gains are not significant relative to higher-order AR and nonlinear models, though simple benchmarks like the RW and AR(1) models are statistically outperformed. Overall, we show that in terms of forecasting the US CPI, accounting for nonlinearity does not necessarily provide us with any statistical gains.     

The introduction of seasonal unit roots and cointegration to test index aggregation optimality: An application to a Spanish farm price index

In this paper we present a methodological proposal of the way integration and cointegration analysis can best be used to test if the level of aggregation of an index is adequate. Using this proposal, we enquire the extent to which a Spanish aggregate farm price index captures the behavior of its components. First version received: October 1994/final version received: September 1998     

The ancillary insolvency proceeding

The main legal acts on International Insolvency Law (the European Regulation, the UNCITRAL Model Act and the European Convention on Certain International Aspects of Bankruptcy) lay down several local proceedings with substantive effects as regards the debtor, the distribution of proceeds and the ranking of claims. These—full—proceedings are characterized by a high degree of unpredictability and prove to be inadequate for creditors. These are the reasons why, as an immediate solution, the existing insolvency rules should be reinterpreted according to a certain logic of the market. However, such revision would only partially and provisionally solve the inconveniences of the current model. The true and ‘unsolvable’ problem is that even though the full local proceeding is based on international assistance, it alters the substantive insolvency rules. Therefore, in future it would be necessary to create a truly ancillary proceeding. Such a proceeding would not have any substantive effect as regards the debtor, the creditors and third parties, nor would it require any kind of distribution of proceeds and ranking of claims. However, this proceeding would enable to provide procedural assistance to foreign courts and procedural protection to local creditors. Copyright © 2010 John Wiley & Sons, Ltd.     

On dichotomous choice contingent valuation data analysis: Semiparametric methods and Genetic Programming

The aim of this paper is twofold. Firstly, we introduce a novel semiparametric technique called Genetic Programming to estimate and explain the willingness to pay to maintain environmental conditions of a specific natural park in Spain. To the authors’ knowledge, this is the first time in which Genetic Programming is employed in contingent valuation. Secondly, we investigate the existence of bias due to the functional rigidity of the traditional parametric techniques commonly employed in a contingent valuation problem. We applied standard parametric methods (logit and probit) and compared with results obtained using semiparametric methods (a proportional hazard model and a genetic program). The parametric and semiparametric methods give similar results in terms of the variables finally chosen in the model. Therefore, the results confirm the internal validity of our contingent valuation exercise.