Purpose – The purpose of this paper is to investigate attitudes of Italian consumers towards a set of applications of nanotechnology in the food domain. The chief goal is to identify the main factors influencing the willingness to buy nanofoods (WTBN), distinguishing between factors related to the products, in terms of perceived risks and benefits and psychological factors. Design/methodology/approach – A questionnaire was administered to a sample of about 300 people to gather information about the willingness to buy six nanofoods (namely: creamier ice cream with the same fat content; salt and sugar that do not form lumps with moisture; fruit juices enriched with bioactive molecules; bread enriched with Omega-3; plastic bottles for beer; antimicrobial food packaging for meat) and psychological characteristics, measured by several attitudinal scales. In order to study the influence of the attitudinal factors on the WTBN a simultaneous equations model was estimated, defining both its structural and reduced form. Findings – Respondents show a certain reluctance to buy foods produced using nanotechnologies The estimates of the econometric model indicate that WTBN is affected by the risks and benefits perceived with respect to the six nanofoods under consideration; the level of neophobia, as captured through the food technology neophobia scale; and the level of trust in food industry. Originality/value – The study extends the literature on nanofood consumer acceptance by adding useful evidence from the Italian case, which has not yet been studied.
The article assesses the stabilization effects of the EU import regime for fresh fruit and vegetables based on the entry price system (EPS). The analysis is carried out on the EU prices of tomatoes and lemons and those of imports from some of the main competing countries on the EU domestic markets: Morocco, Argentina, and Turkey. It is based on the estimation of a threshold vector autoregressive econometric model that is shown capable of taking the workings of the import regime into account. The model shows that prices behave differently when import prices are above/below the trigger entry price. This article allowed to highlight the cases for which the isolation effect of EPS seems reached and the resulting stabilization effects
The spatial structures of soil water status, in terms of soil water content θ and tension <i>h</i>, had been examined on a bare volcanic soil in Ponticelli, Naples (Italy). Measurements were made in situ at 0.3 m depth on two transects consisting of 50 positions 1 m apart. The ACF and the PACF were used to identify the univariate ARMA(1,1) model for the analyzed series and the AR(1) model for the extracted signals. Relations with a state-space model are investigated and a bivariate AR(1) model fitted. The simultaneous relations between θ and <i>h</i> are considered and estimated
"The statistical and phenomenological aspects of the runoff process observed on different scales of aggregation are taken as a priori information for the conceptually based stochastic modeling of seasonal runoff. Runoff is considered as the sum of two groundwater components, with over-year and subannual response lag, and of a purely random component representing the direct runoff. This scheme is equivalent to a linear system, with two parallel linear reservoirs plus a zero lag linear channel. The system output is the runoff, and the input is the effective rainfall, considered proportional to the direct runoff. Assuming the effective rainfall as a non-Gaussian periodic independent process and considering nonseasonal groundwater parameters, this conceptualization leads to an autoregressive and moving average (2, 2) stochastic process with periodic independent residual. Stochastic model parameters are directly related to the linear system coefficients, and the effective rainfall structure can be determined from the estimated model residual. In order to obtain parameter estimates consistent with the conceptual constraints, two estimation stages, on an annual and a seasonal basis, and an iterative procedure are needed. The model was applied to a number of time series of monthly streamflows in the Apennine regions of Italy with promising results.
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