Italian Farms Research Articles

The Impact of the 4.0 Paradigm in the Italian Agricultural Sector: A Descriptive Survey

This paper investigates how much Italian farms are involved in the so-called “Agriculture 4.0” (Agri 4.0) journey. The paper focuses on analyzing the knowledge and adoption levels of specific 4.0-enabling technologies while also considering the main benefits and obstacles. A descriptive survey was carried out on a total of 670 respondents related to agricultural companies of different sizes. The findings from the survey demonstrate that Italian farms are in different positions in their journey toward the Agri 4.0 paradigm, mainly depending on their size in terms of revenues and land size. Furthermore, there are strong differences concerning both the benefits and obstacles related to the adoption of the Agri 4.0 paradigm, here depending on the technology adoption level. Regarding future research, it would be interesting to carry out the same study in other countries to make comparisons and suitable benchmark analyses. Although scholars have debated about the adoption of technologies and the benefits related to the Agri 4.0 paradigm, to the best of the authors’ knowledge, no empirical surveys have been carried out on the adoption level of digital solutions in agriculture in specific countries.

Presence of Chlorate and Perchlorate Residues in Raw Bovine Milk from Italian Farms.

Chlorates and perchlorates are endocrine disruptors and emerging environmental contaminants found in various types of foods, including milk and dairy products. The presence of chlorate has been associated with the use of chlorine-based sanitizers to disinfect equipment and water used in food processing. Perchlorate, on the other hand, occurs naturally in the environment but is also released from anthropogenic sources. To protect consumers, the EU set an MRL for chlorate in milk but not for perchlorate. Considering that data on chlorates and perchlorates in this field are limited, the objective of this study was to assess the presence of these two anions in 148 samples of raw bovine milk collected from different farms of Lombardy and grouped in three different geographical zones. Chlorate was detected in 73% of the samples analyzed, at concentrations ranging from <LOQ to 18.70 μg kg−1 with an average value of 7.10 ± 5.88 μg kg−1 below the MRL; perchlorate with a frequency of 99%, in the range from <LOQ to 6.95 μg kg−1 and an average value of 4.06 ± 1.58 μg kg−1. No significant differences were detected among the three geographical zones. An evaluation of the estimated daily intake of perchlorate through milk confirmed the absence of risk for Italian consumers.

Agritourism and Farms Diversification in Italy: What Have We Learnt from COVID-19?

The COVID-19 pandemic has rapidly disrupted the household behavior in all areas and also those related to eating and daily food. Research carried out shows there have been significant changes compared to pre-COVID levels in the way consumers plan their food purchases. Based on the results of empirical data and emerging information such as ad hoc reports and analysis of academic literature, the authors aim to understand the effect of COVID-19 on agricultural and extra-agricultural activities in diversified Italian farms. More specifically, due to their importance at a national level, the focus of the analysis is represented by the agritourism, how they have reacted to the challenges posed by the pandemic, and towards which evolutionary lines they are orienting themselves to face the next future challenges. Empirical data for this study were collected through the use of a questionnaire survey, managed by the research team. The survey, conducted online during summer 2021, was designed by using a random stratified sampling for which the farms are characterized by a certain heterogeneity of the activities carried out (i.e., hospitality, processing of products, renewable energy production, etc.). The research activity covered the entire Italian territory and the number of responding farms with agritourism activities is equal to 77 (a 17.5% response rate). The results highlight the importance of farm with agritourism activities in dealing with COVID-19 crisis and policy implications in terms of support for the competitiveness of farms, exchange of knowledge, and innovations among farmers that should be taken into consideration to target the next rural development policy at the EU, the national and regional level. At the same time, the sample reaction methods to the pandemic and the changing business strategies highlight a certain resilience of Italian farms with agritourism activities, thus showing their ability to adapt.

Italian farms during the COVID-19 pandemic: main problems and future perspectives. A direct analysis through the italian FADN

The spread of the COVID-19 virus in Italy during the first phasis of the pandemic (February-May 2020) has caused a large-scale crisis, with an almost immediate decrease of industrial production and a consequent contraction in domestic consumption and external trade. However, the issue of food security was immediately recognized as one of the most sensitive, so that the Government has decreed the priority role of the food system, which has been included among those considered fundamental services and economically essential, allowing the related activities to be carried out during the lockdown. Agricultural production activities transformation, and commercialization remained fully operative during the lockdown; nevertheless, the sector has faced many difficulties related to the contraction of some of the marketing channels (restaurants, on farm sales, agritourism, problems with the logistics and many other ones). To better understand the effects of the initial phasis of the pandemic on the Italian agricultural sector and provide useful information to the government and decision makers, a survey was carried out with a CAWI (Computer Assisted Web Interviewing) sent to over 10,000 farmers belonging to the sample of the Farm Accountancy Data Network (FADN). The number of respondents has been of 733 farms, which represents around 7% of the Italian FADN sample. The results of the questionnaire have been matched with FADN data on the structure and the economic performance of farms, allowing a more precise evaluation of the condition and effects of the pandemic. The results highlight a relevant effect of the COVID-19 pandemic emergency on the agricultural sector: 37% of the interviewed farmers declared a significant liquidity crisis, while 60% predicted a contraction in turnover. These effects are more relevant for the wine, olives, and horticulture types of farming and more frequent in medium/large farms. A better situation has been found for farms which usually outsource processing and/or marketing/sale of the products.

Do direct payments efficiently support incomes of small and large farms?

AbstractThis paper assesses how efficiently Common Agricultural Policy direct payments enhance farm incomes by applying a quantile continuous treatment effect model on the Italian Farm Accountancy Data Network sample. Adding to previous analyses, we show that income responses to direct payments are higher in large farms rather than in small farms and lower in farms benefiting from larger levels of support. This suggests that direct payments are not very efficient in supporting incomes of small farms and reducing the disparity existing within the farm population. Furthermore, results suggest that there is scope to reduce the amount of payments provided to highly supported farms.

Analysis of Specialisation and Management in Italian Farms Through a Partial Least Square-Structural Equation Modelling Approach

Abstract Using Italian data published by the Farm Accountancy Data Network, this study investigates whether certain variables such as labour, assets, crops, cost, and financial subsides allocated through the Common Agricultural Policy are able to act on the management and on the productive specialisation of Italian farms, and focuses on assessing the main relationships that exist between these variables and the items correlated to them in 8 main types of farming for the period 2004–2019. The results have revealed that while the type of farming practiced has had an influence on farm management, the impact of financial subsides allocated through the CAP has differed. This research fills a gap in the literature by investigating the main relationships that exist between farm specialisation and farm management through the PLSSEM. that enables the identification of which variables have the greatest influence on the management of Italian farms.

The effect of settler farming on indigenous agriculture: Evidence from Italian Libya

AbstractWhat effect did the settlement of European farmers have on the indigenous agricultural sector during the colonial period? On the one hand, European immigrants imported skills and capital but, on the other, they took control of local resources. By looking at the short‐term effect of Italian farming in colonial Libya, I shed new light on this question. Through regression analysis on a novel village dataset covering the entire country, I show that, in 1939, proximity to Italian farms was associated with significantly lower land productivity relative to distant locations. Lower yields can be explained by the adoption of land‐extensive cultivation techniques, implemented by indigenous farmers to counteract a labour drain operated by Italian farms through factor markets. The combined mitigating effect of monetary wages and land‐extensive farming only partially compensated for the fall in income linked to reduced land productivity.

The Role of Quarantine on Post-Mortem Performances of Charolaise Young Bulls.

Simple SummaryDespite the positive role of biosecurity measures on the health and productivity of livestock animals, such measures are still poorly implemented in the beef sector due to the high investments that farmers have to face and a lack of empirical information on their effectiveness, specifically with regards to the long-term effects on animal performance and meat quality. Hence, with this short communication we aimed to evaluate the effect of quarantine on post-mortem traits of young beef bulls. Overall, post-mortem performances were positively affected by the quarantine, likely due to a reduced risk of exposure to pathogens that made the animals less susceptible to diseases such as the bovine respiratory disease. In fact, a significant decrease of antimicrobial (AM) use was reported. Implementing the quarantine on-farm can result in an increase of farm profit due to extra sale weight, an amelioration of carcass quality, and an additional saving of AM costs. Additionally, the reduction of AM use is an advantage for both human and animal health given its likely contribution to the development of antimicrobial resistance.Biosecurity is essential to prevent the spread of diseases in livestock animals such as the bovine respiratory disease which can lead to negative effects on growth performance, and carcass and meat quality, as well as to an increase of antimicrobial use. The aim of this study was to investigate the effects of the quarantine on post-mortem performances (hot carcass weight, dressing percentage, pH 60 min after slaughtering, carcass SEUROP conformation, and fat cover) of 576 Charolaise young bulls imported from France and fattened in specialized Italian farms. Approximately half of the animals followed a standard fattening procedure without initial quarantine upon arrival to Italy (NO-QUA) and the other half underwent a 30-day period of quarantine (QUA) since their arrival to the farm. Post-mortem performances and parenteral administration of antimicrobial use were recorded. NO-QUA animals had lower average daily gain and slaughter weight but scored higher for carcass SEUROP evaluation and pH than QUA animals (p < 0.05). NO-QUA received more than double the number of parenteral antimicrobial treatments than QUA animals for respiratory diseases (139 vs. 56). Overall, quarantine applied on-farm contributes to improve post-mortem performances while reducing antimicrobial use in beef production.

Vibration from Electric Hand-Held Harvesters for Olives

Olive harvesting is the most expensive cultivation operation in areas where full mechanization is not possible due to structural conditions such as low tree density, old trees, irregular spacing, and terraced fields, which are very frequent in many small Italian farms. Under these conditions the use of hand-held vibrating harvesters is quite wide spread, because they are capable of approximately three times the productivity of workers using manual harvesting methods. Unfortunately, the use of these machines exposes the operators to hand-arm vibration risk and acceleration values are affected by several factors, including harvester kinematics, rod material and geometry, and load conditions. In this study several models of electrical portable harvesters, obtained by combining six harvester heads and four rods (one telescopic), were tested under idling and load conditions, measuring acceleration values on the rod, near the hand positions. Assuming the use of the machinery for 4 h per day, the result is a level of daily vibration exposure A(8) for the most exposed hand ranging from about 11 to 40 m/s2, much higher than the daily exposure limit value of 5 m/s2 stated by the European Directive 2002/44/EC. With the same harvester head, reduction in vibration may be achieved by using carbon fiber rods rather than aluminum ones or by increasing the rod diameter. The most significant reduction is achievable by designing harvester heads whose kinematics inherently incorporate oscillation compensation.

Finding the right price: supply chain contracts as a tool to guarantee sustainable economic viability of organic farms

The aim of this study is to analyse the volatility of agricultural commodity prices and assess the effectiveness of supply chain contracts as possible tools to prevent it. The study refers to the cereal sector, which is of vital importance for the agri-food system of the Mediterranean area. Since Italy is the world’s largest producer of durum wheat semolina, the proper functioning of the Italian durum wheat supply chain is central to this investigation. The study was conducted following two different paths of analysis: (1) the calculation of volatility indices using annual and monthly data of durum wheat prices, both organic and industrial, observed in the Bologna Commodity Exchange (AGER); (2) the analysis of two organic durum wheat supply chain contracts, defined by a cooperative involving hundreds of Italian farms mainly from the Marche region and by an agricultural consortium operating in the Adriatic regions. Despite the limited number of cases examined, the present study shows how supply chain contracts can be valid tools for building stable relationships between the various players, from production to processing and distribution, guaranteeing farms fairer and more remunerative raw material purchase prices and higher quality standards.

The farm-by-farm relationship among carbon productivity and economic performance of agriculture

The mitigation of agricultural greenhouse gases emissions is a globally relevant environmental and policy issue. For efficient mitigation, it is important to appraise whether and how much these emissions are linked to the economic performance of farms. This study aims to reconstruct a Carbon Productivity (CP) indicator at the farm level to analyse its eventual relationship with the farm's economic performance as measured by its Farm Net Value Added (FNVA). This assessment could allow emerging win-win situations where more emission-efficient farms are also more economically viable. This study is conducted at the micro-level using individual farm data extracted from the Italian Farm Accountancy Data Network from 2008 to 2017. The estimation procedure is based on a dynamic panel model that exploits the wide heterogeneity of farms using structural and policy variables. Results show that the relationship between CP and FNVA is non-linear and changes among farm types. Overall, absolute higher levels of CP seem to be associated with better economic performance, suggesting a double-dividend path of green growth for agricultural production. Policy implications drawn suggest tailored intervention according to farm type.

Assessing the economic profitability of Paulownia as a biomass crop in Southern Mediterranean area

The increase of renewable energy production worldwide, occurred in the last years, is also attributable to some agroforestry species cultivated according to the short rotation coppice technique. Although these species are able of enhancing abandoned or marginal land leading to numerous environmental benefits, an increasing number of farmers are introducing them in place of agricultural crops. Therefore, since for a farmer economic sustainability is one of the main factors to introduce a biomass crop, the study aimed at evaluating the profitability of Paulownia, a species that has been spreading in recent years. In particular, an economic analysis has been carried out in a Southern Italian farm in which Paulownia has recently replaced a vineyard, by adopting a discounted cash flow approach. The results show that the Paulownia for both timber and woodchip production, with an annual gross margin equal to 357.91 € ha−1, can represent a valid alternative compared to wine grape (237.41 € ha−1), while Paulownia for exclusively biomass production has almost zero profitability (4.22 € ha−1). However, the profitability depends not only on the product typology but also on the future market price fluctuations, on the subsidies or incentives, as well as on adequate choices by entrepreneurs for the creation of sustainable supply chains also from an environmental and social point of view.

A theoretical framework on network's dynamics for precision agriculture technologies adoption

Abstract: Recently, the agricultural sector has had to face several challenges related to the innovation process, the most significant of which seems to be that of its digital transformation. As a consequence, the issue of digital technology adoption is becoming of important scientific interest due to its potential impact on products, services, processes, and new business models. In general, the adoption behavior can be indirectly explained by studying factors that lead a firm to innovate; among these factors, the literature emphasizes the function of networks. The objective of the paper is to investigate the role of networks as key drivers of precision agriculture technologies adoption. To achieve this goal, qualitative research was developed by using 8 case studies recollected among that few Italian farms which can be defined as innovative for having already experienced precision agriculture. Results show that only a few farms can develop and manage innovations internally; success often requires cooperation between individual actors and organizations. Finally, the paper provides some practical advice and a set of propositions for those farms that are trying to achieve digital technological innovations.

Generating cropping schemes from FADN data at the farm and territorial scale

The paper presents an innovative approach to cropping scheme classification based on fad n data with two main goals. First, the identification at the regional level (NUTS 2) of land use patterns common to similar farms defined ‘group cropping scheme'. Second, the farm-level construction of farm cropping schemes, which expand the observed crop mix and identify suitable variation ranges considering the farm production context. The schemes are based on the observed behaviour of homogeneous farms and capture their common structural characteristics regarding land use.The schemes can be used at the territorial scale to analyse landuse trends and patterns over time. At the farm level, the method is designed to analyse short-term adaptations and is suitable to be used, together with other data, in mathematical programming models to run policy analysis exercises. At this latter scale, crop substitution within a scheme allows the set of eligible crops to be expanded while remaining linked to the observed behaviour on a spatial basis.The paper applies the methodology to identify and quantify the cropping schemes using FADN data on Italian farms specialising in annual field crops. An algorithm implemented in gams automates the process. Results confirm the validity of the method and open a field of research for future applications.

Farm to Fork strategy and restrictions on the use of chemical inputs: Impacts on the various types of farming and territories of Italy

This study evaluates the impacts of reduction in chemical inputs use, as defined to the Farm to Fork strategy, on the Italian agricultural sector based on current production practices and technologies, as well as market and political framework. The impacts are evaluated in terms of some economic, environmental and social indicators, and are shown and discussed both geographic area and types of farming. The analysis was conducted on all Farm Accountancy Data Network (FADN) sample of Italian farms in various years, about 40,000 farms, by using the AGRITALIM model.The main results show an improvement in environmental sustainability of agricultural production in terms of lower use of chemical. Negative socio-economic and productive impacts are observed overall in the national territory, but some areas are more affected. The reduction of income could especially affect some types of farming and smaller farms.In conclusion, the Farm to Fork strategy could be a fundamental impetus to review some failings and weaknesses of European agriculture. Our analysis shows that targeted and forward-looking interventions are especially important for some types of farming, production sectors and territories. New research is needed to support the choices of stakeholders regarding policy support and innovation in agriculture. Political interventions are needed to incentivize farmers to adopt environmentally friendly agricultural practices and limit income losses. Genetic and technological innovations could play a fundamental role in limiting the reductions of agricultural production and modernizing farms.

Mechanized Blueberry Harvesting: Preliminary Results in the Italian Context

This study reports some preliminary results on mechanical blueberry harvesting for the fresh market of cv. Cargo® in the Piedmont region (northwest Italy). The investigated area is one of the most productive areas of Italy, which specializes in fresh blueberry production. The automatization of harvesting operations could represent a competitive advantage for the area’s blueberry supply chain but could limit the quality of fresh-picked berries. A prototype machine and a commercial harvester (Easy Harvester®) were compared with manual picking, considering the harvesting efficiency, labor productivity, harvesting cost and farm rentability. In this context, the labor cost for manual harvesting exceeds EUR 2.00 per kg of saleable product. The prototype allowed a 39% cost reduction, and the Easy Harvester® reduced it by about half. Nevertheless, these positive performances do not consider the reduction in the net sale price of EUR 0.40 due to the selection costs in the warehouse. In this study, we highlight that the transition to mechanical harvesting requires the transformation of several farming and packhouse operations, such as new crop varieties, field configurations and cultivation techniques. However, a possible technical improvement of the Easy Harvester® could represent an opportunity for Italian farms in the planning of berry production and marketing, involving all of the supply chain actors. Further research on the use of mechanization in the sector must continue and be supported.

Highlighting the Drivers of Italian Diversified Farms Efficiency: A Two-Stage DEA-Panel Tobit Analysis

Farm diversification is an important phenomenon in agricultural systems and rural development in Europe, pursuing economic, social and environmental goals. For the sustainability of diversified farms, it is important to analyse some drivers affecting farm efficiency, for instance, socio-economic, technical and policy drivers. The efficiency performance of a panel of Italian farms practising other gainful activities in the period 2012–2017 was investigated and regressed against the drivers that mostly affects farm performances. FADN data and a two-step approach were used. An output-oriented Data Envelopment Analysis was applied; in the second step, efficiency scores were used as a dependent variable in a panel Tobit regression analysis used to determine differences in the significance of drivers. Social, economic, technical and policy drivers were considered as explanatory variables. Results show margins for improving farms performances. The incidence of the output from other gainful activities has been proven to positively affect farms efficiencies, while intermediate costs are the most negatively impacting factor. As regards policy variables and implications, the significance of localization in mountain disadvantaged territories further supports the relevance of EU subsidies in less-favoured areas. Managerial implications in terms of technical, structural and economic indicators can be drawn from study findings.

Dairy Buffalo Life Cycle Assessment (LCA) Affected by a Management Choice: The Production of Wheat Crop

Life cycle assessment (LCA) was performed in dairy buffalo farms representative of Southern Italian farming systems, similar due to several characteristics, with the exception of wheat production. This work evaluated the impacts derived from this management choice, comparing farms with wheat crop (WWC) or not (NWC). In agreement with the literature, economic allocation was chosen as a useful strategy to attribute equivalents to by-products, i.e., culled animals; the same criterion was also adopted to assign pollutants to wheat grain, limited to WWC farms. Environmental impacts in terms of Global Warming Potential (GWP, kg CO2 eq), Acidification Potential (AC, g SO2 eq), Eutrophication Potential (EU, g PO43-eq), Agricultural Land Occupation (ALO, m2y) and Water Depletion (WD, m3) were estimated. The production of wheat crop significantly affected (p &lt; 0.05) the Agricultural Land Occupation (ALO) category as WWC farms need adequate land. WWC farms could allow a significant reduction in eutrophication (EU) compared to NWC farms (p &lt; 0.05).

The spatial agglomeration of Italian agritourism farms

ABSTRACT This study investigates the effects of localization and territorial features on the distribution and spatial agglomeration of agritourism farms in Italy. We employ both a spatial Durbin model and a multinomial regression model, using an Italian provincial level (NUTS-3) dataset. The results provide robust evidence of positive spillovers of external factors that affect the provincial agglomeration of agritourism farms; moreover, the analyses demonstrate that this is largely a localized process involving both localization and internal agritourism farm features. These findings have important implications for decision-makers and can support the development of more forms of agritourism.

Survey on Antibiotic Residues in Egg Samples in Italy

The presence of antibiotic residue in eggs is a current issue due to the increasingly important phenomenon of antibiotic resistance. A multiclass, confirmatory method for the determination of seventy-three antimicrobial agents (amphenicols, cephalosporins, diaminopyrimidines, lincosamides, macrolides, penicillins, pleuromutilins, quinolones, sulfonamides, and tetracyclines) with liquid chromatography high-resolution mass spectrometry was applied to 200 egg samples collected from 119 Italian farms during the years 2018–2021.