Potere di mercato e filiere agroalimentari

Nel recente passato i processi di concentrazione dell\u2019industria alimentare e della grande distribuzione organizzata nei paesi occidentali hanno sollevato il timore di possibili comportamenti anticoncorrenziali da parte delle imprese nelle fasi intermedie delle filiere agroalimentari, a scapito dei soggetti a monte (le imprese agricole) e a valle (i consumatori finali). Tali comportamenti, definibili con il termine generale di potere di mercato, permettono alle imprese di maggiori dimensioni (comparate al mercato di appartenenza) di alzare il prezzo di vendita dei prodotti (potere oligopolistico) o di abbassare il prezzo di acquisto dei fattori (potere oligopsonistico) rispetto ai livelli che si avrebbero se i mercati fossero perfettamente concorrenziali. Per la loro importanza sia dal punto di vista pratico che teorico, il potere di mercato e la concorrenzialit\ue0 lungo le filiere agroalimentari sono stati oggetto di una grande quantit\ue0 di indagini, basate su differenti tipi di metodologie. Nel presente contributo verr\ue0 fornita una sintetica descrizione di tali metodologie evidenziandone vantaggi e limitazioni, indicando quindi un approccio potenzialmente unificante e presentando una sua applicazione empirica alla realt\ue0 italian

Serum 25-hydroxyvitamin D concentration in Japanese Akita dogs: a survey

Low serum level of vitamin D has been linked to numerous diseases. The Akita breed of dog shows a high incidence of immune-mediated diseases such as uveodermatologic (UVD) syndrome and sebaceous adenitis (SA). Furthermore, in Japanese Akita dogs, skin depigmentation often appears after birth at different ages, in healthy dogs, and without any other symptoms. In humans poliosis is associated to low vitamin D level. The aim of this survey was to evaluate serum 25-hydroxyvitamin D (25(OH)D) levels in Japanese Akita dogs. One hundred and three Akita blood samples were collected for the 25(OH)D evaluation. Age, sex, current disease, presence and location of skin depigmentation, and diet were reported on a medical record. Based on history and clinical examination, dogs were classified according their health status as healthy (HE) or pathological (PA). The overall mean of 25(OH)D concentration was 82.42 ± 26.14 ng/mL, whereas the concentrations in the healthy dogs were significantly higher (84.90 ± 3.36 ng/mL) in comparison with the dogs with diseases (72.13 ± 4.09 ng/mL) (P < 0.01). In this study, the depigmented healthy dogs showed low level of 25(OH)D and very similar to the sick group. The appearance of depigmented areas associated with low levels of vitamin D could be considered as an alert sign in Akitas as well as in humans. However, clinical trials should also be carried out to establish whether vitamin D supplementation could be an effective preventive treatment to limit the onset of immune-mediated diseases in Japanese Akita dogs

The impact of different energy policy options on feedstock price and land demand for maize silage: the case of biogas in Lombardy

The growing demand of maize silage for biogas production in Northern Italy has triggered an intense debate concerning land rents, maize prices and their possible negative consequences on important agri-food chains. The aim of this work is to quantify the extent to which the rapid spread of biogas raised the maize price at regional level, increasing the demand of land for energy crops. For this purpose we applied a partial-equilibrium framework simulating the agricultural sector and the biogas industry in Lombardy, under two alternative schemes of subsidization policy. Results show that policy measures implemented in 2013 \u2013 reducing the average subsidy per kWh \u2013 may contribute to enforce the complementarity of the sector with agri-food chains, decreasing the competition between energy and non-energy uses. Compared to the old scheme, maize demand for biogas would decrease , lessening the market clearing price (as well as feed opportunity cost for livestock sector) and reducing land demand for energy purposes

Farm succession, occupational choice and farm adaptation at the rural-urban interface : The case of Italian horticultural farms

The survival of family farming in Europe is a crucial issue, as it assures landscape maintenance in marginal areas and provides transmission and accumulation of site-specific knowledge in agricultural activity. Using data from a sample of Italian horticultural farms, we explored the multiple forces driving farm succession in a high value added sector. In addition to the traditional factors examined in the literature (farm, farmer and family features), we treated the farm transfer choice as the complement of the decision to migrate out of the agricultural sector, testing the effects of local labour market conditions (employment, income gap between farm and non-farm sector) and population density around the farm, as a proxy of rural-urban interface relationships. It has been shown that both traditional factors and territorial and labour market conditions influence the probability of farm succession. Interestingly labour market conditions exerted an effect in line with occupational choice theory only in less inhabited areas; in more densely populated regions a rural-urban linkage effect seems to prevail, creating an environment that fosters succession of young horticultural farmers. Peri-urban areas may thus be a favourable location for professional and specialised horticultural farms, as well as multifunctional and de-specialised ones, if their assets are properly protected against farmland subtraction. More generally, these findings confirm the validity of a more comprehensive approach toward farm succession, which takes occupational choice theory and rural-urban farm adaptation strategies into account

Farmland Use Transitions After the CAP Greening: a Preliminary Analysis Using Markov Chains Approach

This paper represents a preliminary attempt to evaluate ex-post impact of the CAP greening payment on farmland use changes, testing by a Markov Chain approach whether farmland use transitions dynamics changed after the introduction of this new policy instrument. Unlike previous contributions, relying on ex-ante simulations, this analysis is based on the actual behaviour of farmers over the period immediately after the last CAP reform. Such ex-post assessment was based on real georeferenced data on farmland allocation, collected in the Lombardy Region, in Northern Italy, over the period 2011-2016. As the current CAP has recently entered in force (in 2015), the present analysis covers the \ufb01rst two years of implementation of the new rules along with the previous four years. Results are in line with previous ex-ante simulations in the same region, detecting a deep discontinuity for those farmland uses characterised by monoculture before the introduction of the greening. They show a signi\ufb01cant discontinuity of farmland use transitions in the reference area after the introduction of greening rules, pointing to a decrease in maize monoculture, in favour of other cereals and legume crops like soybean and alfalfa. Unlike some critical opinions that see current greening rules as a \u201clow pro\ufb01le\u201d compromise, the present analysis points to a strong e\ufb00ect of such rules on regions with high-intensity agriculture

Farm succession at a crossroads: The interaction among farm characteristics, labour market conditions, and gender and birth order effects

Farm succession is a relevant issue, as it is related to rural and youth migration, sustainability and the ageing of the agricultural sector. Understanding the factors behind the willingness of potential successors to take over the family business is crucial for farm continuity. We examine the factors affecting children's likelihood of carrying on the family business in a sample of 216 potential heirs of Italian horticultural farms. Using local labour market conditions (income gap and employment rate) and surrounding context variables (population density), we plug the farm labour migration/occupational choice theory into farm succession analysis. This approach allows us to treat child succession as the opposite of the choice to migrate out of the farm sector. While farm labour migration theory predicts linear negative effects of labour market/contextual variables on farm transfer, we find that the income gap, employment rates and population density exert both negative and positive effects on child succession, according to their intensity. The pro-succession effects we find suggest that, despite potential threats, the proximity to wealthy areas may represent an opportunity for farm continuity and thriving. We also examine explicitly the effect of child characteristics (gender and birth order), finding that male and first-born potential successors are more likely to take over the family farm, in accordance with results from previous firm succession studies. This finding suggests a persistence of traditional normative beliefs in the agricultural sector

Performance post succession on Italian family farms

We analyse whether the event of succession changes the performance of Italian family farms, using data from the Italian Farm Accountancy Data Network (FADN) and several performance indicators during 2008-2014. T-tests of equality of means and propensity score matching reveal that succession has a negative effect on performance related to capital, due to an increase in capital after succession. Furthermore, in the first years examined, performance per hectare after succession is lower for farms with succession than for farms without. This negative effect of succession on performance per hectare is not systematically confirmed when performance is related per labour unit

Prediction of Metabolic Profiles from Transcriptomics Data in Human Cancer Cell Lines

The Metabolome and Transcriptome are mutually communicating within cancer cells, and this interplay is translated into the existence of quantifiable correlation structures between gene expression and metabolite abundance levels. Studying these correlations could provide a novel venue of understanding cancer and the discovery of novel biomarkers and pharmacological strategies, as well as laying the foundation for the prediction of metabolite quantities by leveraging information from the more widespread transcriptomics data. In the current paper, we investigate the correlation between gene expression and metabolite levels in the Cancer Cell Line Encyclopedia dataset, building a direct correlation network between the two molecular ensembles. We show that a metabolite/transcript correlation network can be used to predict metabolite levels in different samples and datasets, such as the NCI-60 cancer cell line dataset, both on a sample-by-sample basis and in differential contrasts. We also show that metabolite levels can be predicted in principle on any sample and dataset for which transcriptomics data are available, such as the Cancer Genome Atlas (TCGA)