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The adverse economic and social effects of the recent increases in food prices have prompted policymakers and academics to reconsider the potential causes of such increases. This paper contributes to the existing literature by investigating the causal effects of oil prices, fertiliser prices, global economic activity, and geopolitical risk on international food price volatility between January 1993 and December 2021. The research considers the aggregate food price index and the prices of various specific foods, including cereal, vegetable oils, dairy, meat, and sugar. The Glosten, Jagannathan, and Runkle-generalised autoregressive conditional heteroskedasticity (1,1) [GJR-GARCH(1,1)] model is employed to estimate the food price volatility series, while the causality-in-quantiles test is conducted to identify the drivers of food price volatility for different volatility regimes. The analysis suggests heterogeneous results regarding the significance of causal linkages. More specifically, the aggregate food price volatility is affected by oil prices, global economic activity, and geopolitical risk under different market conditions. The causality analysis also indicates that the volatility of cereal prices is the most sensitive to the four considered variables. Likewise, geopolitical risk is the most critical factor affecting all food commodities during almost all market conditions, while oil prices and global economic activity have limited predictive power. Finally, there is strong evidence that most causal linkages are confirmed during normal market conditions. Policy recommendations are subsequently derived.

We identify the factors affecting the participation in land accumulation of rural households by using a multinomial logit model and assess the income effects of participation in land accumulation by using the propensity score matching (PSM) method. We use household data from a rural survey in three provinces in the Red River Delta of Vietnam in 2019. Our results show that farmland accumulation is significantly correlated with age and gender of household head, as well as agricultural productive assets, non-farm income, saving and access to credit. The participation in farmland accumulation leads to an increase in total household income, although the effect is different between land increasing and land decreasing groups. We suggest enhancing access to credit and supporting non-farm activities to accelerate the accumulation of agricultural land and consequently improve household income.

We conducted a quantitative ex post analysis of the competitiveness of the Czech Republic’s agrifood exports to other European Union (EU) Member States between 2002 and 2020, using the constant market share (CMS) methodology. The application of this methodology to Czech agrifood exports is novel, as it allows for analysing the export competitiveness variation and its components. Although the findings are consistent with those of previous studies in which the investigators used alternative methodological approaches, we make three contributions to the existing literature. Firstly, the Czech Republic experienced an overall increase in its competitiveness in agrifood exports between 2002 and 2020. Secondly, the high territorial specialisation of Czech agrifood exports to other EU Member States, combined with a general slowdown in the growth of EU markets, has had a significant effect on the growth dynamics of the country’s agricultural exports. Thirdly, there is a problem with the specialisation profile of Czech agrifood exports in terms of commodity and territorial structure. The current composition does not allow the Czech Republic to reach its full potential for agrifood exports. These findings will help industrial, agricultural and trade policymakers to assess the nature of liberalisation and transformation of the Czech Republic’s agricultural sectors, with a view to improving or designing structures and instruments for the promotion of agrifood exports.

In this article, we present applied research in the field of price transmission modelling with the generalised additive model. In line with recent studies on nonlinear time series models for price transmission, we introduce a nonparametric technique of generalised additive modelling to provide evidence of nonlinear patterns in price linkages and compare the degree of nonlinearity in price transmission between feed maize and poultry product markets in the Visegrád Group countries. The results of our empirical approach contribute to knowledge about market competitiveness in the Visegrád Group countries and provide information to policymakers.

Multifunctional landscapes, such as agroforestry, that improve soil health are essential in sustaining terrestrial life by supporting various ecosystem services (ESs). However, decision-making often requires more attention to soil health because its parameters have no market value. In this study, we aim to evaluate soil health parameters in cacao agroforestry and monoculture and their degradation due to erosion and to estimate their indirect use value (IUV). We develop a soil health economic valuation approach bridged by ESs because the economic valuation of ESs tends to be better studied. We estimated the IUVs of the eight soil health parameters by using the direct proxy revealed prevalence valuation method on the basis of the valuation of the four ESs they support: water regulation, climate regulation, nutrient retention and biodiversity. The total IUVs for cacao agroforestry were USD 633 with Endoaquepts and USD 723 with Dystrudepts and for cacao monoculture were USD 415 with Endoaquepts and USD 575 with Dystrudepts. Soil carbon has the highest contribution to IUV, followed by soil nitrogen. Agroforestry not only increases IUV but also minimises its decrease due to erosion. Despite economic valuations being subject to uncertainty, these results encourage the internalisation of soil health values in sustainable land management design.

This study examined the bidirectional impact of Chinese agricultural subsidy policies on agricultural efficiency and farmers’ income. It employed panel data from 2004 to 2020 across 31 Chinese provinces, and the three-stage least squares method was used for simultaneous estimation. Different regions and farmer types were analysed separately. The findings revealed a significant bidirectional impact of the agricultural subsidy policy on agricultural efficiency and farmers’ income, signifying a strong positive feedback loop. Varied types and levels of subsidy policies differently impacted regions and farmer categories, showcasing diverse outcomes and adaptive responses to subsidy policies. The ratio of total subsidy to GDP (SUBGDP) positively impacted production efficiency and per capita disposable income. This result suggests that the subsidy policy helped enhance agricultural production efficiency and increased farmers’ income levels. Conversely, the ratio of various subsidies to the total subsidy manifested different directions and degrees of impact on production efficiency and per capita disposable income, suggesting areas where the subsidy policy framework can be optimised. In addition to presenting a theoretical discussion on agricultural subsidy policies, this study provides theoretical insights and policy recommendations for the formulation and implementation of an optimal agricultural subsidy policy.

Adopting low-carbon agricultural technologies (LCATs) is fundamental to reducing carbon emissions in agriculture. Our study explores the factors influencing the adoption of LCATs and the roles of production outsourcing and specialised farming within the framework of off-farm employment. In this regard, survey data were collected from 1 040 farmers in the Yellow River region of China in 2020 to examine the effect of production outsourcing on the farmers’ adoption of LCATs. Potential mechanisms associated with specialised farming and off-farm employment are considered to comprehend this relationship. We also investigate the heterogeneous effects of production outsourcing on adopting LCATs, taking different education levels and arable land areas into account. The results show a positive association between production outsourcing and farmers’ LCATs adoption behaviour, even after considering self-selection bias. Specifically, outsourcing production can significantly increase the likelihood of farmers adopting low-carbon tillage, low-carbon irrigation, and low-carbon fertilisation technologies by 7.2%, 8.1%, and 7.3%, respectively. This effect is more pronounced among farmers with higher levels of education and smaller areas of arable land. Furthermore, production outsourcing increases the LCATs adoption by promoting specialised farming. The findings suggest that outsourcing is vital to alleviating the lack of LCATs adoption resulting from off-farm employment.

Agro-based small and medium enterprises (SMEs) are currently receiving top priority among policymakers of the South Asian Association for Regional Cooperation (SAARC) nations  due to their great contribution to employment and GDP growth. This study examines the impact of financial literacy on the sustainable competitive performance of agro-based SMEs, with a focus on the mediating role of access to digital finance and the moderating role of business experience. Using Partial Least Squares Structural Equation Modelling (PLS-SEM), we analysed data from 345 SME owner-managers. The results indicate that financial literacy positively affects sustainable competitive performance, with access to digital finance serving as a significant mediator. However, business experience does not moderate the relationship between financial literacy and access to digital finance. These findings suggest that improving financial literacy and enhancing digital finance access are critical for the sustainable development of agro-based SMEs in the SAARC region.

Policy constraints and market incentives have made it an important foundation for developing countries such as China to develop agricultural green transition policies. This study employed the panel data of 31 provinces in China from 2003 to 2022 and the three-dimensional framework of ‘institutions, technology, and marketisation’ to probe whether environmental regulation constraints or expected economic revenue incentives play a critical role in China’s current agriculture development. Whether the green transition of agriculture depends on environmental regulatory policy constraints and expected economic revenue incentives is related to the level of agricultural technology development and market development. Technology and market play a positive role in the agricultural green transition by enabling the realisation of agricultural green production and the realisation of the agricultural green market.

Farmers, often vulnerable within the agricultural supply chain, frequently encounter difficulties accessing and affording loans. This study introduces an innovative credit risk evaluation framework for farmers tailored to the agricultural supply chain. It includes three key aspects: farmers’ credit characteristics, the operational status of the agricultural supply chain, and overall credit conditions. Initially, the analytic hierarchy process (AHP) was used to assign weight coefficients to indicators. Then, the Elimination et Choix Traduisant la Réalité III (ELECTRE III) model was employed to determine farmers’ credit ratings. To demonstrate the impact of the agricultural supply chain on microfinance, the model’s effectiveness was then tested with 398 microfinance survey responses from Fuping County (World Dairy Goat Industry Development Demonstration Zone), Shaanxi Province, China, and its accuracy was further verified using BP neural network analysis. The results demonstrated the model’s proficiency in assessing farmers’ credit levels within the agricultural supply chain, which can aid in the resolution of various credit assessment and rating challenges. Furthermore, this study offers valuable insights into the integration of multi-criteria decision-making and machine-learning methods.

In this study, we attempt to infer the effect of the COVID-19 pandemic on the intra–European Union (EU) agrifood trade from out-of-sample forecasts. We compare the actual level of trade during the COVID-19 period with counterfactual values derived from univariate forecasting models [regARIMA (Linear regression with autoregressive integrated moving average errors) and Holt-Winters methods]. We analyse agrifood imports and exports of specific EU countries and the EU-27 aggregate on the basis of monthly data for the period from January 2010 to February 2022. The findings reveal a significant decrease in trade activity in the first year of the pandemic that was negatively correlated to COVID-19 restrictions applied by EU countries. Surprisingly, COVID-19 restrictions do not significantly explain the diversified agrifood trade response among EU countries during the pandemic.

The near-expired food (NEF) is a significant opportunity to reduce food waste, while consumers often associate NEF with safety issues, which results in a large amount of safe and healthy food being wasted globally. This research focuses on food date labelling (FDL) and explores how consumers' label cognition impacts their willingness to purchase NEF. Using a random sampling method online, we obtain 2 113 valid samples from China and conduct an information intervention 'quasi-natural experiment' to obtain participants' FDL cognition and willingness to purchase the near-expired milk (NEM) before and after the intervention and evaluate the impact of the intervention through the differences-in-differences model. The results show that consumers' initial purchase willingness for NEM is low, and their FDL cognition has a positive effect, especially in Eastern China and higher education consumers. Information intervention increases consumers' willingness to purchase NEM by changing their label cognition, and the intervention has a more pronounced impact among older, male, and higher education consumers. Considering the pressure on resources and the environment caused by food waste has become an impediment to sustainable development, the findings expand the application of the Knowledge, Attitude, and Practice (K-A-P) theory in the NEF field and clearly reveal the important role of eliminating consumer prejudice of FDL in reducing food waste to achieve the United Nations Sustainable Development Goal 12.3 'Halve food waste.'

In 2007, the Chinese government introduced a temporary corn storage policy targeting four regions: Heilongjiang, Jilin, Liaoning and Inner Mongolia. This policy aimed at stabilising grain markets and ensured farmers' income by providing price support for corn. Its implementation significantly impacted corn prices and the regional distribution of corn cultivation, offering a valuable case for analysing the economic outcomes of China's agricultural policies. This study adopts the adaptive expectations hypothesis to explore the policy's effects, focusing on its influence on farmers' price expectations (mean) and price volatility (variance). Using a Spatial Durbin Model (SDM), we empirically investigate the policy's dynamic regional impacts on corn planting areas. The results show that the temporary corn storage policy significantly increased corn planting areas in the targeted regions, while simultaneously reducing planting areas in non-targeted regions due to negative spatial spillover effects. At the national level, the policy had no statistically significant impact on total corn planting areas, indicating that abolishing the policy alone is unlikely to rationalise or optimise the agricultural planting structure.

Livestock manure serves as a vital source of organic fertiliser, with efficient utilisation being crucial for sustainable agricultural development. However, with the development of specialised high-input agriculture, livestock manure recycling (LMR) is currently inefficient and leading to the imbalance between surplus manure and croplands. This study theoretically and empirically investigates whether LMR among acquaintance networks influence the crop–livestock integration (CLI) production. Based on survey data of swine farmers in rural China, the estimates indicate that LMR among acquaintance networks enhances the degree of CLI but may result in over-application of manure. Conversely, LMR with outside villagers or organisations is more likely to reduce the degree of CLI, possibly leading to under-application of manure. The motivation behind farmers' LMR plays a crucial role. Furthermore, the study indicates that formal institution can break the constraints of acquaintance networks on LMR and restructure the crop-livestock relationship beyond the household level. Our findings emphasise that LMR within rural China's acquaintance networks are in a transition phase, exhibiting both relational and market orientation characteristics. It is currently essential to maintain the balance between crop and livestock production, advance the development of LMR social services when designing LMR policies, and to leverage the complementary roles of informal and formal institutions.

In this study, we used psychology and organisational behaviour theories to determine the main elements affecting Chinese farmers' grain loss-reduction efforts (LREs). We established social factors (SFs), policy factors (PFs) and buyer's strategies (BSs) as the three central factors and constructed a theoretical framework linking these factors to grain producers' LREs. Using this framework, we designed a survey questionnaire and an interview guide; we subsequently collected 1 536 valid questionnaire responses and 25 interview transcripts. The findings revealed that SFs, PFs and BSs had a significance positive effect on the LREs of grain producers. Critically, grain producers from significant Chinese grain-producing regions did not always minimise the effects of the independent variables (SF, PF and BS) on the dependent variable (LRE). This research provides a new viewpoint on grain farmers' LREs activities and may be used to tailor policy and commercial strategies.

Organic farming is a topic often discussed in the scientific community and public space. The current European policy strongly supports the enhancement of organic farming concerning the environment, sustainability, and social aspects. It is generally assumed that a lower intensity of production, yields, livestock utility, fertilisation, and total costs should be compensated by premium prices, subsidies, or higher economic performance. Research revealed that achieving premium prices for organic products on the market is not obvious for organic farmers as some organic commodities have been sold on the conventional market. Our study focused on the price difference reached by the sample of farms on the organic and conventional markets for two organic commodities (winter wheat and milk) and the farm's economic results. We combined and compared data from two unique databases on organic farming in the Czech Republic. We used the statistical methods of ANOVA and regression for analysis. We found the difference between evaluated market prices. Price variability is wide in both types of organic and conventional markets but the influence of the prices on farm performance was not significant.

Order-based agriculture aligns with the fundamental requirements for the high-quality development of modern agriculture in the new era. This study investigates how social capital influences the participation of family farms in order-based agriculture across the mountainous regions of southwestern China. Drawing on survey data from 557 farms and employing logit and Karlson-Holm-Breen (KHB) mediation effect models, the research reveals that social capital significantly promotes participation. Specifically, stronger social networks, heightened trust, and established norms are associated with increased engagement. While access to information mediates this relationship, the direct effect of social capital remains predominant. These findings underscore the importance of enhancing both social capital and information accessibility to encourage greater involvement among family farms. Furthermore, targeting younger and middle-aged farmers engaged in single-product production is crucial for promoting sustainable development.

To promote the sustainable consumption of prepared dishes, this study examines how green attribute information (GAI) and live streaming scenes experience (LSSE) influence consumers' green perceptions (GP) – including perceived green value (PGV) and perceived green trust (PGT) – and subsequently affect their purchase intention (PI). A green perception model was developed and tested using a mixed-method approach. Word cloud analysis was conducted on consumer comments collected from e-commerce platforms to extract key descriptors and concerns, which informed the design of a structured questionnaire. A total of 291 valid responses were analysed using partial least squares structural equation modelling (PLS-SEM). Results show that: (i) GAI does not directly impact PI, indicating that GP is a necessary mediator; (ii) GAI significantly influences PGV, but not PGT; (iii) GP fully mediates the GAI–PI relationship, although PGV has a negligible direct effect on PGT; (iv) LSSE significantly enhances both GP and PI; (v) GP partially mediates the LSSE–PI relationship. These findings highlight the dual role of LSSE in facilitating information adoption and emotional engagement, and suggest that enhancing LSSE design and enriching GAI are effective strategies to increase consumers' green perception and purchase intention towards prepared dishes.

The Single Minute Exchange of Die (SMED) methodology is well-known. A great variety of studies in the field of manufacturing and production process use it, but there are few applications of this methodology in the area of the supply chain management. In the paper, the philosophy of the SMED methodology is applied to the part of the supply chain that includes the spare parts and fixtures in the food sector. This involves studying the relationship with the supplier of the installation of spare parts and fixture on the machine. The study shows how the spare parts management has several phases: the coordination and purchase of the spare parts to the supplier, the storage of these spare parts, the coordination of these spare parts and the scheduled maintenance, and the installation of these spare parts on the machine. The implantation of the developed working methodology has obtained a relevant improvement in the coordination and management of the spare parts. In such a way, that storage time has been reduced (inside the company's storages) and the performance has been increased, focusing on and detailing the maintenance task and scheduling the available resources.

Management of the bio-waste processing is a complex issue, which has not yet been elaborated for the municipal administration. Its importance can be seen in the synergic links of three key areas: the crisis in the energy, the bio-waste and its processing as the most prospective opportunity of crisis solution, and the management in the form of tool for the final solution. The main aim of the scientific paper is based on the theoretical knowledge and study of trends in the field of the renewable energy sources to create a universal exemplary model of decision-making for mayors in the process of the bio-waste management in the municipal sector. The necessary data were obtained using the questionnaire form and the data processing was carried out in the statistical program PSPP method Chi-Square, T-test and correlation. The main finding is that the energy crisis is understood as a significant shortage of supply of energy sources to the economy. The results confirm that the utilization rate of the municipal bio-waste for energy purposes is very low. An exemplary model was divided into two main groups, communes and towns. For a more relevant animation, the communes and towns were divided into three sub-categories according to the population. Recommendations are made regarding the collection, processing and use of the bio-waste for each group. Two of the three set out hypotheses were confirmed.

Latin America and the Caribbean (LAC) region is one of the most important players in global agricultural trade. They have vast potential to strengthen their position as a result of the region's opportunities to increase agricultural production when combined with growing global demand, which could help the region's economy thrive. To discover the LAC potential agricultural trade pattern, this paper aims to analyse the determinants of LAC agricultural bilateral export for the period 1995-2019. The gravity model of trade was employed by estimating various Poisson pseudo-maximum likelihood (PPML) models including zero trade flows for panel data. The findings show that importers' GDP of LAC countries has a greater impact on agricultural trade compared to LAC exporters. Cultural similarities (common language) and countries' participation in Southern Common Market [Mercado Común del Sur (MERCOSUR)] stimulated agri-food export. Conversely, distance (transportation), past colonial links, and North American Free Trade Agreement (NAFTA) raised trade costs, having a negative impact on the export of agricultural products. The impacts of environmental regulations are ambiguous. This paper contributes to the literature by investigating the factors of agri-food export in LAC countries, which can be an important instrument for decision-makers adjusting agricultural trade policy.

At present, the agro and food industry has a high influence to farmers in Thailand. Most of the raw materials of agriculture are sent to its manufactoring. This industry has an important role to raise the growth of the Thai economy. The main objective of the paper is to study the production trends and ability operations of the agro and food industry by using economic tools analyse two sub-industry sectors. The paper reviewed literatures on the performance measurement and productivity change of the business sector to obtain the relative variables and optimal methodology. The paper designed to use the panel data of the agro and food industry during the period 2011-2014. The Slacks-based Measure context-dependent Data Envelopment Analysis (SBM context-dependent DEA) was used to analyse the efficiency and ability in the Decision Making Units (DMUs) by employing the attractiveness and progress score. Moreover, the Malmquist index was used to demonstrate the change of the total productivity of this industry. Therefore, the empirical results of the paper can help the companies inside and outside the stock exchange of the agro and food industry to realize the performance level and benchmark leading to the improvement of their operation. Moreover, they help the government to develop its policy and to understand the character of the sub-industry sectors and the productivity trend in this industry.

Economic globalisation (EG) in developing countries has continued to increase over the last 40 years. EG has both beneficial and harmful impacts on all sectors, including agriculture. This paper aims to determine the impact of EG on agriculture in developing countries. This aim was met by conducting a systematic review (SR) of 64 papers from Scopus and Web of Science (WoS). EG has influenced various elements of agriculture in developing countries, including i) product, supply chain, food security, ii) trade, iii) economic, social, political element and environment and iv) technology and research and development (R&D). We propose several policies in this paper to maximise EG's positive impact while minimising its negative impact.

Agriculture is one of the main contributors to carbon emissions and is also significantly affected by changing climate. This article investigates the impacts of agricultural support on greenhouse gas emissions (GHG) from agriculture in the European Union. Panel regression models were used to examine the influence of subsidies in the Common Agricultural Policy (CAP) on reducing GHGs from agriculture. First, estimates show that direct agricultural subsidies encouraged agricultural-related carbon emissions. Second, the study concludes that the expansion of organic agriculture and the rural development expenditures contributed to emissions reduction in the member states. Finally, the CAP Health Check reform decreased while the Ciolos reform stimulated GHG emissions.

Globally, people started gravitating toward organic food as health consciousness rose. From the farm to the consumer's fork, organic food is produced using a comprehensive method. Organic farming has provided farmers and producers with many opportunities, but there are still difficulties concerning the cost of production and distribution. Due to environmental sustainability challenges, climate change, soil fertility, biological assortment, and consumer well-being, organic farming is attracting more attention than conventional farming. Organic farming can be done using standardised methods and has many common issues with conventional farming. Organic farming has some unique problems as well. With the right strategies, careful planning, and government assistance, many difficulties faced by farmers can be addressed. The downstream material flow of the supply chain, and in particular demand estimation, market price, and identifying customer segments, has been identified as a significant problem in organic farming. Massive losses have been incurred along with the entire supply chain a due to the inadequate demand estimation that has caused surpluses and shortages in the produce. A few farmers have resolved the cash flows and material information controlling problem. This article proposes various related hypotheses associated with identifying customer segments, forecasting demand for the product, and profitability as market price changes in the crop.

The draft Strategic plan of the Common Agricultural Policy (CAP) for the Czech Republic has provoked the displeasure of many entrepreneurs in agriculture due to the redistributive payments, to which 23% of the total volume of direct payments will be directed instead of the originally planned 10%. According to the creators of the Strategic plan, this should support the fairer distribution of payments, respecting the benefits arising from the scale of production of large companies. Critics of the plan claim that operating subsidies are already degressive and fear an adverse impact on medium-sized companies, which, given the structure of the companies in the Czech Republic, will affect a large part of agriculture. This article aims to identify the farm size for which direct payments will be reduced and the likely degree of the impact on the farm economy. Our results suggest that the new payment system will lead to a reduction in direct payments for farms larger than 313 ha and, from a farm size of 873 ha, direct payments will fall below 85% of the average, which may cover around 50% of the agricultural land in the Czech Republic.

In this paper, an original analysis of the direct payment rate shaping mechanism – in terms of the process and from the perspective of game theory – has been carried out. The factors determining the direct payments rates were identified. The results of measuring the impact of these factors on payments rates fluctuations were presented. The territorial scope of the study is Poland. The time range covers the years 2016–2020. The objective scope of the analysis includes four direct support instruments. It was found that the rates of sectoral area payments vary to a greater extent than the rates of general payments due to fluctuations in the area approved for a payment. The findings of this study can be used to develop a method for predicting payments rates based on the analysis of the fundamental factors. The prediction of payments rates could be used to support decision-making processes in agricultural policy. Therefore, the research results involving the decomposition of payments rates are of significant practical value in addition to their cognitive significance.

A reassessment of factors related to milk production economics is needed because of continuing genetic improvements within the main dairy breeds and changes in farm management and the economic environment. Therefore, in this study, we aimed to evaluate the development of economic indicators between 2016 and 2020 on Czech dairy farms that kept either Czech Fleckvieh or Holstein breeds and that had different average milk yields. We used a questionnaire to obtain data from 66 dairy farms from different regions of the Czech Republic. The farms were divided into four groups according to breed and 2016 milk yield. Production costs increased during the period in all groups by 13% to 17% because of increasing milk yields, the associated higher feed consumption and increasing input prices. We observed a higher annual growth rate of costs per litre of milk on farms with above-average milk yields compared with the groups with below-average yields. The highest profitability before subsidies was achieved on farms with Holstein cows and above-average milk yields. Higher-income over feed costs were consistently observed in groups with higher milk yields. Because of low farm gate milk prices, profitability was significantly lower across all groups during 2016 than in other years.

In recent decades, farmland markets have risen sharply due to their attractiveness as safe investment and savings allocation instruments. This growth has occurred globally at different rates due to the uneven expected returns, and potential land uses in different regions. This paper provides evidence of the convergence of Italian farmland markets between 1990 and 2019 by using data on average land prices with a geographically detailed resolution that considers both administrative and altitude aspects of territories. The analysis combines traditional economic convergence approaches with spatial data exploration techniques. The results are consistent and show that territorial disparities in Italian farmland markets tend to increase over the study period. This proves that divergence patterns reflect the well-established North-South dualism and disparities in socio-economic characteristics.