Italian Farms Research Articles

Exploring Diversification Strategies among Italian Farms

The multifunctionality model is receiving more and more attention from policymakers as a result of recent initiatives to build more resilient and sustainable food systems as well as the potential for increased farm revenue. This paper explores the role of multifunctional farming in the Italian agriculture viewed through the lens of an entrepreneurial strategy grounded on-farm diversification. Farm diversification strategies, which broaden the farm’s traditional boundaries to include additional activities at the farm level, help the evolution towards multifunctionality. A policy-driven transition towards multifunctional farming has been noticed in Italy during the past few decades, which has prompted a strategic reconfiguration of the farm’s business models. Drawing on the identified activity of portfolio diversification, this study provides an overview of the analyzed 49,429 Italian farms, by articulating diversification strategies into four entrepreneurial activities, which are related to on/off-farm/farm-related or farm-diverse diversification strategies. This article has attempted to verify the presence of farm types that responded to portfolio diversification management strategies through the use of a cluster analysis on data from the general census of Italian agriculture. Supporting new patterns in the adoption of business models focused on multifunctionality should be considered in European rural development policies.

Technical efficiency analysis in Italian sheep and goat farms using FADN dataset

The sheep and goat farms are one of the main breeding in many Italian regions located in mountainous and disadvantaged rural areas. One of the main Italian Protected Designation Origin cheese as Pecorino Romano is made by sheep milk from many regions. The main purpose of this research was to asses by a quantitative approach the technical efficiency in sheep and goat farms part of the Farm Accountancy Data Network (FADN) in all Italian regions since 2008 to 2020. By the Multi-direction Efficiency Analysis (MEA) it has been possible to overcome one of the main bottlenecks of the technical efficiency estimation analysing which is the excess in each input able to impact to the technical efficiency. Main results have pointed out that the Italian sheep and goat farms have a higher technical efficiency compared to other studies carried out in other European countries. Land capital, labour and assets have been the main inputs able to impact to the technical efficiency. Furthermore, an important role of subsidies to the sheep and goat Italian farms exists.

Unveiling innovation imperatives in agriculture: A data-driven framework for identifying latent needs and regional priorities

Innovation within a company, sector, or territorial context can arise from identifying specific problems or needs. Performance analysis provides valuable insights, potentially highlighting areas where innovation may be necessary. This paper outlines a methodology designed to identify latent innovation needs at regional, sectoral, and dimensional levels. This methodology is based on critical issues emerging from comparing economic, environmental, and social sustainability indicators of farms. An iterative approach is used for this purpose. Mixed matching algorithms are employed to form the comparison groups, while G-computation is used to calculate the differences. Logistic regression is adopted to calculate the propensity scores, and several generalized linear models are used to estimate the impact of regional localization. Hypothesis tests are then conducted to confirm the statistical significance of the impacts, from which criticality levels are derived. This methodology is applied to data collected by the Italian Farm Accountancy Data Network, which includes over 64,000 observations from two consecutive three-year periods (2016-2018 and 2019-2021). The results highlight the existence of widespread critical issues in Italian agriculture. These problems primarily concern the efficient use of water, whose costs, relative to revenue, exceed, on average, around 40 %, and greenhouse horticulture, which shows an increased criticality level in terms of sustainability of over 50 %. From a regional perspective, Puglia in Southern Italy exhibits the most evident critical issues, with an average criticality level of 30 % that has increased over time. The emerging criticalities are analyzed in relation to the interventions introduced by the 2023-2027 Common Agricultural Policy to verify their coherence and identify possible innovative actions that can be implemented.

Research note: Indirect evidence of avian Metapneumovirus circulation in broilers in Italy

The clinical relevance of avian metapneumovirus (aMPV) is growing in the poultry sector, especially in broiler farming, where no vaccination is administered in Italy. Given the naïve status of the birds, a serological survey was conducted in a densely populated area of Northern Italy, to evaluate aMPV circulation. Seven farms were selected and sampled in summer/fall, then sampling was repeated in the following season (winter/spring) to assess a possible seasonal effect. In each farm, fifteen birds were blood sampled towards the end of the cycle and sera were analyzed with an ELISA test. Clinical signs were reported in 5 out of 7 farms, although all farms were positive at both sampling points, except for one, which was negative at the first sampling. The seroprevalence within farm ranged from 26.6% to 100%, and antibody titres appear to increase with age. No seasonality effect was evidenced, whereas a farm effect was more distinct. aMPV circulation appears wide in Northern Italian farms, with different clinical outcomes that could be modulated by intrinsic characteristics of the farms. In absence of vaccination, serological monitoring can be a useful tool for viral entrance monitoring, although sampling timing should be evaluated in order to spot seroconversion after late infections.

Technical efficiency and fertilizers use in Italian farms using a machine learning approach

The Common Agricultural Policy has supported a less intense use of fertilizers and chemicals in agriculture in the next five years (2023 – 2027) because of the European Green Deal proposals that are environmental protection-oriented. The most common consequence of input reduction in farms was a direct effect to the technical efficiency in farm. The main purpose of this research was to assess the technical efficiency in a sample of Italian farm part of the Farm Accountancy Data Network (FADN) dataset using the Data Envelopment Analysis (DEA) input-oriented approach and by the machine learning approach such as the iterative decision tree evaluating which quantity of chemical fertilizer in terms of nitrogen (N), phosphorus (P) and potassium (K) has to be reduced to improve the technical efficiency. Results have pointed out that between a reduction of chemical fertilizers and technical efficiency there is a fundamental link and the drop in chemical fertilizers has impacted the technical efficiency in Italian farms part of FADN dataset. Based on these results emerged the need of putting into practice some actions towards farmers to compensate the reduction in technical efficiency and the produced output in the productive process as well.

Crop diversification and the effect of weather shocks on Italian farmers' income and income risk

AbstractAgriculture is vulnerable to extreme weather shocks. Climate change increases both the frequency and the intensity of such shocks. To safeguard farmers' income and food production, climate adaptation measures are required. This article aims to examine the effectiveness of crop diversification as an adaptation measure, using Italy as a case study. We apply a control function approach to a panel dataset of 20,790 Italian farms, which considers (i) the crop diversification decision and (ii) the influence of crop diversification on farmers' levels of crop income and income risk. We find that, while specialisation can increase income, crop diversification reduces income risk most effectively when growing four different crops. At this level of diversification, income risk is approximately 29% lower as opposed to monoculture farming. Although the Common Agricultural Policy's greening payments for crop diversification make sense from an ecological and risk‐reducing point of view, we find that they are potentially insufficient to cover the loss of expected crop income from diversification. While crop diversification reduces income risk in general, we find no specific benefit in terms of weather shock‐induced risks. This may be because a price increase following a weather shock buffers its adverse effect. However, identifying the reasons requires further research.

Influence of age, gender, and willingness to adopt former foodstuffs on the perception of Italian farm animal veterinarians.

Veterinarians play an essential role in improving animal care, as they are often viewed as trusted advisors, particularly in relation to disease control and management; however, little is known about veterinarians' perceptions and attitudes toward alternative feeds. The aim of this study was to investigate the influence of age, gender, and willingness to adopt on the attitudes of livestock veterinarians toward the use of alternative feeds in farm animals. A total of 136 active veterinarians completed the online survey, distributed through the main veterinary associations in Italy. The questionnaire contained items on dietary recommendation, awareness, benefit and safety perceptions, and a willingness to adopt former foodstuffs (FFs), complemented with socio-demographic questions. Almost 90% of the population reported a willingness to adopt FFs as feed. Men and women did not share the same perceptions of the nutritional composition of FFs, while the importance of product availability was found to be a key factor driving the age difference. Participants willing to adopt FFs as feed linked positive attitudes to attributes such as digestibility, energy intake, and positive social implications. Our findings provide a basic background on the current use of the FFs in Italy and suggest the need for the development of educational programs and marketing strategies to enhance the acceptability of FFs in farm animals to ultimately promote the transition toward more sustainable animal production. This study has limitations, including the number of recorded responses and reliance on national estimates. Future research is needed to investigate the perceptions of farmers and animal nutritionist from different countries. This could provide a more detailed picture of the current situation in Europe about the potential of using FFs in farm animals' feed, thus further contributing toward a greener and safer livestock production sector.

Serotype diversity and antimicrobial susceptibility profiles of Actinobacillus pleuropneumoniae isolated in Italian pig farms from 2015 to 2022

Actinobacillus pleuropneumoniae (APP) is a bacterium frequently associated with porcine pleuropneumonia. The acute form of the disease is highly contagious and often fatal, resulting in significant economic losses for pig farmers. Serotype diversity and antimicrobial resistance (AMR) of APP strains circulating in north Italian farms from 2015 to 2022 were evaluated retrospectively to investigate APP epidemiology in the area. A total of 572 strains isolated from outbreaks occurring in 337 different swine farms were analysed. The majority of isolates belonged to serotypes 9/11 (39.2%) and 2 (28.1%) and serotype diversity increased during the study period, up to nine different serotypes isolated in 2022. The most common resistances were against tetracycline (53% of isolates) and ampicillin (33%), followed by enrofloxacin, florfenicol and trimethoprim/sulfamethoxazole (23% each). Multidrug resistance (MDR) was common, with a third of isolates showing resistance to more than three antimicrobial classes. Resistance to the different classes and MDR varied significantly depending on the serotype. In particular, the widespread serotype 9/11 was strongly associated with florfenicol and enrofloxacin resistance and showed the highest proportion of MDR isolates. Serotype 5, although less common, showed instead a concerning proportion of trimethoprim/sulfamethoxazole resistance. Our results highlight how the typing of circulating serotypes and the analysis of their antimicrobial susceptibility profile are crucial to effectively manage APP infection and improve antimicrobial stewardship.

Introduction of the South American slipper limpet Crepipatella dilatata in Europe: Secondary spread in the Northeast Atlantic and first records for the Mediterranean Sea

The slipper limpet Crepipatella dilatata, native to Chile and Argentina, was introduced in north-western Spain in 2005 and since then has spread to the Galician and Cantabrian coasts. In this work, we provide the first molecularly validated record of an established population of C. dilatata in central Portugal (Aveiro), and of reproductive individuals (i.e. brooding females) of C. dilatata in the Mediterranean Sea, from three Italian mussel farms (in eastern Sardinia and northern Adriatic). DNA barcoding and phylogenetic analyses based on mitochondrial markers indicate that limpets from Italian farms belong to the C. dilatata ‘clade1’, whereas limpets collected in Aveiro cluster within the C. dilatata ‘clade2’. All these limpets share the same COI haplotypes with introduced populations from Galicia. The arrival of C. dilatata to Europe is undoubtedly due to transoceanic live mussel trade from southern Chile to Galicia. Mussel trade and farming are also the most likely drivers for the post-border dispersal of C. dilatata from Spain to Portugal and to Italy. Several countries have a potential role as a hub for the primary and secondary dispersal of slipper limpets towards and within Europe. This calls the attention for future research focused on assessing the current occurrence and ecological impact of established populations of slipper limpets within and nearby mussel farms along the eastern Atlantic and Mediterranean coasts.

Irrigation water economic value and productivity: An econometric estimation for maize grain production in Italy

Climate change, characterized by rising temperatures and limited precipitation, has intensified the demand for irrigation water while simultaneously restricting its availability. This challenge poses significant risks to agricultural and food production, particularly in the Mediterranean regions where, recently, water deficits have led to substantial production losses and quality issues. Water is a critical determinant of crops' economic viability, especially for water-intensive crops, making it essential to estimate its economic relevance, especially in the absence of reliable water market prices. This study has two primary objectives: first, to evaluate the shadow price of irrigation water for maize grain at the farm level, which is defined as the value generated by the marginal unit of water consumed; and second, to analyse its heterogeneity. Leveraging a Farm Accountancy Data Network (FADN) panel of 1625 Italian farms over a decade (2010–2020), an econometric production function approach is employed. Moreover, quantile regressions reveal variations in the shadow price linked to geographical, managerial, and structural farm characteristics. Our findings underscore water’s key role in economically viable maize grain production, significantly enhancing the productivity of other inputs like fertilizers and pesticides. The average shadow price is 0.29 €/m³, with a median of 0.20 €/m³ and water total productivity accounts for one-third of maize’s average gross output. Quantile regressions uncover how factors like geographic location, altitude, farm management, irrigation water source, and farm size influence the distribution of water productivity, reflecting either efficient use or scarcity of this resource. Our estimation provides valuable insights for policymakers by offering accurate shadow price estimates for irrigation water in Italian maize grain production. Furthermore, it enhances our understanding of irrigation water’s role in the economic viability of this crop, while contributing to support evidence-based water management strategies, identifying vulnerable areas and farms and allowing for future methodological developments.

Air treatment technologies in pig farms. Life cycle assessment of dry and wet scrubbers in Northern Italy and Northeastern Spain

Over the years, different solutions were developed and tested to reduce the emissions of ammonia and particulate matter from the livestock facilities. The environmental performances of these solutions were not always evaluated in detail.This study examines the environmental footprint of pig production at farm gate, with a focus on emissions from housing. Using Life Cycle Assessment, the environmental impact of pig production in a transition farm in Spain and in two finishing farms in Italy was evaluated considering three scenarios (one baseline and two of them involving an air treatment technology: wet scrubber or dry scrubber).The study goal was to quantify the environmental footprint of pig production in different scenarios, identify key environmental hotspots, and to assess impact reduction efficiency due to the two assessed technologies, analyze the environmental trade-offs that come with the use of these technologies, and identify potential for improvements.Both wet and dry scrubbers showed potential for reducing emissions in pig housing, affecting environmental impact categories related to air pollutants such as particulate matter, acidification and eutrophication. However, there were trade-offs between emissions reduction and categories related to energy and resource use. The infrastructure and consumables required to operate the scrubber added to the impacts compared to the baseline.The dry scrubber showed a more favorable balance between emission reduction and trade-offs. In this regard, results were similar for the Spanish and Italian farms, although there were slight variations. Scrubbers had a greater effect in the Italian farms due to their use along longer periods of the pig fattening (closed cycle farms) compared to the Spanish farm (transition farm).Scrubbers are environmentally promising, especially where acidification, eutrophication and particulate matter are local problems. However, they alone cannot fully address the complex environmental impacts of pig production, which require comprehensive interventions across the supply chain.

The ability of a handheld near-infrared spectrometer to do a rapid quality assessment of bovine colostrum, including the immunoglobulin G concentration

Portable infrared-based instruments have made significant contributions in different research fields. Within the dairy supply chain, for example, most of portable devices are based on near-infrared spectroscopy (NIRS) and are nowadays an important support for farmers and operators of the dairy sector, allowing fast decision-making, particularly for feed and milk quality evaluation and animal health and welfare monitoring. The affordability, portability, and ease of use of these innovative devices have been pivotal factors for the implementation in dairy farms. In fact, pocket-sized devices enable non-expert users to perform quick, low cost and non-destructive analysis on various samples without complex preparation. As bovine colostrum (BC) quality is mostly given by the Ig G (IgG) level, evaluating the ability of portable NIRS tools to measure antibodies concentration is advisable. In this study we used the wireless device SCiO manufactured by Consumer Physics Inc. (Tel Aviv, Israel) to collect BC spectra and then attempt to predict IgG concentration and gross and fine composition in individual samples collected as soon as possible after calving (<6 h) in primiparous and pluriparous Holstein cows farmed in 9 Italian farms. Chemometric analyses revealed that SCiO has promising predictive performance for colostral IgG concentration, total Ig concentration, fat, and AA (R2CV ≥ 0.75). Excellent accuracy was observed for dry matter, protein, and S prediction in cross-validation and good prediction ability in external validation (R2CV ≥ 0.93; R2V ≥ 0.82). Nonetheless, SCiO's ability to discriminate between good- and low-quality samples was satisfactory. The affordable cost, the accurate predictions, and the user-friendly design coupled with the increased interest in colostrum quality within the dairy sector may boost the collection of extensive BC data for management and genetic purposes in the near future.

Farming of Medicinal and Aromatic Plants in Italy: Structural Features and Economic Results

In recent years, the primary sector in Italy and elsewhere has been profoundly affected by climate change and a deep economic crisis, mainly linked to stagnating prices and rising production costs. Because of this situation, we are witnessing renewed interest in alternative agricultural productions, which are characterized by their resilience and sustainability, including medicinal and aromatic plants (MAPs). This sector is characterized by a certain heterogeneity due to the great variety of species and their wide range of uses. Although these characteristics contribute to the sector’s economic success, they also hinder its study due to commodity complexity and limited data availability. At the farm level, the situation is complicated by the fact that MAP cultivation is often embedded in complex cropping systems, and more rarely, is practiced exclusively or predominantly. In light of these considerations, we concentrated solely on the agricultural phase of the supply chain, using data available in the Farm Accountancy Data Network. We aimed to examine the main structural characteristics and economic outcomes of Italian farms that grow MAP, as well as the profitability of some of the species. To ensure accurate species classification, only MAPs exclusively designated for botanical use in the Italian National List were considered. The analysis of farm economic performance indicators (gross output, variable costs, gross margins, etc.) focused mainly on the species most represented in the sample: saffron, rosemary, lavender, oregano, and sage. The results indicate that the total gross output and gross margin show the best performance in the case of saffron (66,200 and 57,600 EUR/ha, respectively) and rosemary (27,500 and 22,000 EUR/ha, respectively). However, for saffron, the biggest cost concerns propagation (purchase of bulbs), amounting to 50% of the variable costs, whereas fertilization ones are particularly high for sage and rosemary.

Non-monetary motivations of the EU agri-environmental policy adoption. A causal forest approach

This paper investigates the non-monetary motivations of farmers' adoption of agri-environmental policies. Unlike the monetary (income) motivations, non-monetary drivers can not be directly observed but can be identified from observational data within appropriate quasi-experimental designs. A theoretical justification of farmers' choices is first formulated and a consequent natural experiment setting is derived. The latter admits heterogeneous, i.e. Individual, Treatment Effects (ITE) that, in turn, can be interpreted in terms of more targeted and tailored policy expenditure. A Causal Forest (CF) approach is adopted to estimate these ITEs for both the treated and not treated units. The approach is applied to two balanced panel samples of Italian Farm Accountancy Data Network (FADN) farms observed over the 2008–2018 period and concerns agri-environmental policies delivered through the Common Agricultural Policy (CAP). Results show how heterogeneous the farmers’ response and the associated non-monetary motivations can be, thus indicating room for a more efficient policy design.

Maturity level and Effects of the 4.0 Paradigm on the Italian Agricultural Industry: A preliminary study

The objective of this paper is to assess the readiness of Italian farms to actively engage in the journey of "Agriculture 4.0" (Agri 4.0). Specifically, the focus lies on analyzing the levels of knowledge and adoption of specific Agri 4.0 enabling solutions, while also considering the underlying business needs and the primary benefits of the paradigm. A descriptive survey was conducted involving 543 respondents associated with agricultural companies of varying sizes. The collected data was analyzed to address four specific research questions. The survey findings indicate that Italian farms are at different stages in their progression towards the Agri 4.0 paradigm, primarily influenced by their revenue and land size. Furthermore, notable similarities exist in both the benefits associated with adopting the Agri 4.0 paradigm and business needs that bring farmers in adopting such technologies. In terms of future research, conducting a similar study in other countries would be beneficial for comparative and benchmark analyses. Despite scholarly discussions regarding technology adoption and the benefits of the Agri 4.0 paradigm are present to the authors' knowledge few empirical surveys have been conducted thus far to evaluate the level of digital solution adoption in agriculture within a specific country. Specifically, this preliminary study follows research conducted two years ago, paving the way for a longitudinal comparison of the two datasets.

The Mansholt Plan and the March 1971 Farmers’ Protest in Brussels: the Case of Italy

This article analyses the limited participation of Italian farmers’ unions in the demonstration and the changes it brought to the Italian farm labour force. The first reason for their non-participation was these farmers’ lack of economic means. Italian farmers were among the poorest in the Community and would have had to travel far. Reaching Brussels from Italy, especially from the centre and the south, required a long and costly journey. The second reason was political. Although not always willing to acknowledge it openly, the Italian unions agreed with the demands of the Italian government, which had supported the Mansholt Plan throughout the negotiations. Many of Italy’s demands were accepted in the Plan, and the resulting reform would also ultimately provide support for Italian agriculture. Instead, the demonstrators attacked the Plan and demanded higher prices for the products for which Italy was a strong importer while major Italian production – especially Mediterranean produce – was not supported by the Common Agriculture Policy (CAP).

Adaptation to climate change: The irrigation technology mix of Italian farmers

AbstractFarmers should increasingly adopt more water‐efficient irrigation technologies—such as drip irrigation—as a result of climate warming and aggravating water scarcity. We analyze how Italian farmers adapt to climate change by changing their irrigation technology mix. We apply a two‐stage econometric model to data from 5876 Italian farms. We find that farmers' initial reaction to increasing temperatures is reducing their surface‐irrigated fractions. When temperatures increase further, farmers switch toward more sprinkler irrigation. Our results show that farmers are not autonomously moving to drip irrigation in response to climate change, suggesting that government incentives are needed to encourage this transition.

AN ANALYSIS OF CROP COSTS IN ITALIAN NITRATE VULNERABLE AREAS AND AGRI-ENVIRONMENTAL SUBSIDIES

In several Italian regions there are severe limitations and constraints in the use of chemical inputs in farms in order to protect the environment, as a consequence of the introduction of the UE Nitrates Directive in 1991. The purpose of this paper was to assess how chemical inputs impacted on the technical efficiency in farms in function of their location in vulnerable nitrate areas and also in function of their productive specialization over three seven-year periods of Common Agricultural Policy enforcement. The Italian FADN dataset from 2004 to 2020 was used for the purpose of this research. Significant differences were estimated in all investigated types of farming, even though there was no change in technical efficiency over the different periods of CAP enforcement. A difference in technology can partially explain the differences in technical efficiency and in the excess of inputs on investigated Italian farms.

Economic and Environmental Sustainability Trade-Off Analysis in Sheep Farming Using the Farm Accountancy Data Network Database

Agriculture and livestock farming significantly contribute to the success of all United Nations Sustainable Development Goals of Agenda 2030 and are pivotal in the sustainability transition of the European agri-food sector. However, those sectors have been criticized for generating negative environmental externalities. In this context, adopting indicators able to evaluate agriculture and sheep farming sustainability is essential for fostering sustainable development in the primary sector and defining appropriate policies to support it. Such indicators are crucial for understanding if European Union policies striving to realize win–win opportunities based on synergy between farms’ environmental and economic dimensions are realistic. This paper focuses on this wave of interest and has two aims. First, it intends to investigate the existence of synergies or trade-offs between those dimensions using a trade-off analysis. To this end, a significant set of economic and environmental farm indicators was selected, and two composite indicators were created. Second, it aims to investigate the relationship between those two indicators and some pivotal structural and socio-demographic variables. This study was carried out on 219 Sardinian sheep farms included in the Italian Farm Accountancy Data Network. The findings showed a low synergy between the economic and environmental spheres, a relationship between economic indicators and farmers’ ages and organic production variables, and no relationships between the environmental dimension and the analyzed variables.

Bioacoustic IoT Sensors as Next-Generation Tools for Monitoring: Counting Flying Insects through Buzz.

The global loss of biodiversity is an urgent concern requiring the implementation of effective monitoring. Flying insects, such as pollinators, are vital for ecosystems, and establishing their population dynamics has become essential in conservation biology. Traditional monitoring methods are labour-intensive and show time constraints. In this work, we explore the use of bioacoustic sensors for monitoring flying insects. Data collected at four Italian farms using traditional monitoring methods, such as hand netting and pan traps, and bioacoustic sensors were compared. The results showed a positive correlation between the average number of buzzes per hour and insect abundance measured by traditional methods, primarily by pan traps. Intraday and long-term analysis performed on buzzes revealed temperature-related patterns of insect activity. Passive acoustic monitoring proved to be effective in estimating flying insect abundance, while further development of the algorithm is required to correctly identify insect taxa. Overall, innovative technologies, such as bioacoustic sensors, do not replace the expertise and data quality provided by professionals, but they offer unprecedented opportunities to ease insect monitoring to support conservation biodiversity efforts.