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Drawing upon data on co-signed patents in China's agricultural sector between 2015 and 2022, this paper explores the structural characteristics and determinants of the patent collaboration network in agricultural technology involving universities (U), enterprises (E) and research institutes (R). The results of social network analysis (SNA) revealed that the patent collaboration network is expanding in scale, but innovators are sparsely connected to others. Although the subnetwork linked by enterprises is the largest, universities and research institutes are more likely to play roles as hubs and bridges in the network. Furthermore, quadratic assignment procedure (QAP) regression revealed that prior collaboration experience and geographical proximity are key factors that promote co-patenting in the agricultural sector. Compared with U–U partnerships, E–E and E–R partnerships are associated with decreased patent collaboration. In the agriculture and forestry industries, the U–U and U–R partnerships are most likely involved in co-patenting, followed by the R–R and U–E partnerships. In the animal husbandry and fishery industries, no significant difference was found between the partnerships of U–U, R–R, U–E and U–R in their collaborative propensity.

This study aims to analyse the key company-level variables influencing pollutant emissions in the Spanish agri-food sector and investigate the bidirectional relationship between international trade and environmental performance. Using panel data from 2007–2020, we employ discrete choice models to test causal relationships between business variables and environmental impact. Empirical findings show a negative correlation between internationalisation and polluting emissions from agri-food companies. Additionally, other factors, such as company age and size, also influence this index. These results provide valuable insights for economic decision-makers in the agri-food market, highlighting the implications of international trade and business variables on pollution levels.

Most empirical studies evaluating efficiency in the agricultural sector estimate cost efficiency, assuming homogeneity across firms. However, achieving the goal of profit maximisation requires both minimising costs and maximising revenue. Unlike cost efficiency, the concept of profit efficiency considers the errors on both the input side and the output side, and thus, it is more appropriate for evaluating the overall performance of firms. This paper estimates profit efficiency and its determinants in the agricultural sector in Spain using a Bayesian stochastic frontier model with random coefficients. This methodology adequately captures the heterogeneity across firms in the industry. The results reveal, firstly, that agricultural firms in Spain are operating with an average profit inefficiency of 35.78% and, secondly, that this inefficiency is affected, albeit unevenly, by the size and age of the farm. Finally, the implications of these results for managers and public policies are discussed.

Globalisation and reduced trade barriers have created a competitive business environment, requiring agri-food firms to adopt a new innovative perspective. This research study examines a network-based business model of a new venture offering services to avocado farmers and its potential impact on customer performance. A theoretical framework of a network-based business model in the agri-food sector was developed and implemented in the production of avocados. The Israeli agri-food firm, Green Fingers, was selected as the case study to analyse the value drivers of the network-based business model. The proposed business model can serve as a benchmark in evaluating other business models and developing practical strategies in the agri-food sector. The model is flexible, adaptable in meeting the evolving needs of customers and farmers, and applicable to other sectors. The model's building blocks emphasise the importance of networking and diffusing knowledge among key stakeholders, adapting to changing environments, maintaining environmental sustainability, collaborating with policymakers, and supporting farmers. The extended business model canvas may enhance the currently limited research on network-based business models in the agri-food sector from theoretical and empirical perspectives.

The economic diversification of rural territories specialised in olive growing is key to the sustainability and resilience of these communities. In this context, olive oil tourism is presented as an innovative strategy to add value to the olive sector, attract visitors and promote public–private synergies. This study aims to determine the competitive advantages of olive oil tourism in the province of Jaén, Spain, using strategic analysis tools that align tourism resources with effective management strategies. Hence, in addition to a questionnaire completed by experts and a specialised literature review, we used the Quality Function Deployment (QFD) matrix, adapted to territorial analysis focused on tourism. This methodology correlates the territorial resources of olive oil tourism (TRs, the ‚what') with management specifications (MSs, the ‚how'). The analysis determines the relative importance of the TRs, the objective values and the technical importance of the MSs, and the direction of improvement. Furthermore, it includes an evaluation of competitiveness and estimates the technical-competitive positioning index. Nine TRs and eight MSs were identified and correlated, and Jaén's performance was compared to that of six other Spanish olive-growing provinces. Nine competitive advantages were identified, linked to five TRs (olive grove heritage landscape, tasting areas, exhibition centres, olive oil mills and greenways) and four MSs (olive mills, environmental education, diversification of supply and heritage promotion and innovation). This work proposes a useful tool to align resources and management, improve decision-making and move towards a more strategic governance in the olive oil tourism sector.

The substantial increase in grain production stimulated by traditional agricultural direct subsidies has been accompanied by a concomitant decrease in ecological quality, precipitated by excessive application of chemical fertilisers, which has generated countervailing effects that fundamentally undermine the positive effect of subsidy policies on agricultural output. Consequently, the mitigation of agricultural pollution and the elevation of ecological quality have emerged as pivotal directions for the reform of agricultural subsidies. Using both time-varying difference-in-differences (DID) models and spatial DID models in this study, we examined the effect of agricultural 'three subsidies' reform on agricultural fertiliser nonpoint source pollution (AFNSP), drawing on China's province-sector panel data from 2008 to 2022. The empirical evidence yields several salient findings. First, the three subsidies reform can significantly reduce AFNSP and improve ecological quality. Second, the large-scale operation of agricultural households and the enhancement of agricultural production efficiency serve as effective pathways for the three subsidies reform to reduce AFNSP. Third, the implementation of the three subsidies reform engenders significant spatial spillover effects, which play a crucial role in reducing overall regional AFNSP. Fourth, the efficacy of the three subsidies reform exhibits heterogeneity across diverse agroecological contexts and farming cultures. Last, the reform has resulted in notable improvements in agricultural ecological quality, thereby reinforcing food security capabilities. These findings not only offer valuable reference for refining agricultural subsidy reform but also contribute to the development of a comprehensive framework that simultaneously safeguards agroecological security and food security.

In the contemporary era, organisations have embraced the internet as a platform through which they disseminate information about their economic activities and their corporate social responsibility, including their environmental responsibility. Consequently, the extent to which an organisation's actions are visible on its website can be taken as an indicator of its commitment to environmental issues. The present article proposes a model for evaluating the environmental commitment of agri-food companies through the visibility of objective information on their environmental actions on their websites. The information is presented in tabular form, consisting of 33 items, and the combination of these with a predetermined weight gives an index called the Environmental Commitment Web Index (ECWI). The model was applied to all large and medium-sized Spanish wineries in 2018 and 2024. The findings indicate an improvement in the environmental commitment of these wineries, as reflected by the doubling of the ECWI during this period from 9.8 points in 2018 to 20.2 points in 2024. Nonetheless, the overwhelming majority of these wineries were regarded as exhibiting a 'very poor' environmental commitment: 94.2% in 2018 and 81.4% in 2024. It is concluded that all large and medium-sized Spanish wineries should undertake sustained endeavours to disseminate environmental initiatives on their websites.

This paper investigates the structural determinants of sustainable agricultural performance across the 27 European Union member states over the period 2012–2023, focusing on the interplay between economic efficiency, environmental sustainability, and social equity. Employing a panel quantile regression approach, the study captures the heterogeneous effects of organic farming practices, public support for agricultural research and development, income inequality, and environmental emissions on multiple dimensions of agricultural performance.  The analysis underscores the importance of empirical evidence in designing integrated agricultural policies that enhance sustainability, competitiveness, and social cohesion, in alignment with key European strategies, including the Common Agricultural Policy 2023–2027, the European Green Deal, and the Farm to Fork strategy. The findings reveal that the influence of structural determinants varies significantly across the performance distribution, with stronger effects observed in lower-performing contexts. These results support increased public investment in agricultural research and innovation, the development of customised incentives for organic farming tailored to performance levels and farm structures, and the implementation of redistributive mechanisms to mitigate regional disparities in agricultural income. Higher agricultural income is consistently associated with greater value-added efficiency and lower ecological intensity, suggesting structural decoupling between economic growth and environmental pressure. Overall, the study highlights the need for targeted, data-driven policy interventions to foster innovation, resilience, and inclusive rural development across the European Union.

The Regional Comprehensive Economic Partnership (RCEP) agreement is an important free trade agreement in the Asia Pacific region. The implementation of RCEP is greatly significant for ensuring the effective supply of agricultural products to member states. On the basis of the analysis of the agricultural product trade structure among China, Australia and New Zealand since 2000, we summarise in this article the potential consequences of tariff reduction for the agricultural products among the three countries under the RCEP framework. The Global Trade Analysis Project model has been used to analyse the effects of RCEP on the macroeconomic indicators, agricultural products trade and domestic agricultural output of the three countries. The research findings indicate that agricultural product trade among the three countries has grown rapidly since 2000. The results of the Global Trade Analysis Project simulations revealed that implementing RCEP will foster macroeconomic growth in the three countries. China’s imports of beef and dairy products and wheat from Australia and New Zealand will substantially increase, and China’s domestic production of this agricultural sector will decrease. Furthermore, India’s potential participation in RCEP will further affect China’s imports and exports of grain. These findings could guide the policymakers in the three countries in designing future agricultural production and trade strategies according to the different scenarios of international trade among the three countries and considering the potential of India joining.

Studies on the sustainability assessment of supply chain performance in tropical fruit still have limitations, whereas similar studies are more widespread in the manufacturing sector. This study aims to assess the sustainability performance of the tropical fruit supply chain in Indonesia. Performance evaluations were conducted for three producer organisations of tropical fruit with members ranging from 70 to 200 people in Banyuwangi Regency, the largest production centre in Indonesia. This study proposes a new approach, the best-worst method (BWM), to prioritise supply chain performance criteria derived from the SCOR (Supply Chain Operations Reference) model based on assessments by experts managing producer organisations. In the SCOR model, environmental and social criteria are added, resulting in seven criteria for evaluating supply chain performance, which include reliability, responsiveness, agility, cost, asset management, GreenSCOR, and social. Thus, the integration of BWM and SCOR can ensure higher consistency and reliability than traditional methods for assessing sustainable supply chain performance. The results revealed that reliability is the most important criterion for supply chain performance, which shows how important the maintenance of product quality is. In contrast, agility received the lowest score, indicating that there is a need to improve performance with respect to responding to high demand, managing safety stocks, and overtime in the shipping process. Moreover, this study gives a glimpse into the importance of evaluating sustainability performance for the tropical fruit sector, having perishable characteristics and great contributions to rural development. Hence, this study provides a solid practical guide for decision-makers in assessing the sustainable supply chain of tropical fruits in Indonesia.

The study aimed to reveal the competitiveness of the world dried sector for some selected products such as dried apples, prunes, apricots, figs, and grapes. In the study, the data was subjected to the Revealed Comparative Advantage (RCA), Relative Export Advantage (RXA), Relative Import Advantage (RMA), Relative Trade Advantage (RTA) and Relative Competitiveness (RC) indices. RCA is an index developed by Balassa to determine the competitiveness of a specific country for selected products or goods. To demonstrate the economic outlook for the world dried sector, the 2007 to 2017 data of China, USA, Chile, Germany, Iran, the Netherlands, South Africa, France, Uzbekistan, Argentina, Spain, Turkey, and India were compared, these countries dominating the sector of selected dried agricultural products. The results demonstrated that the world dried sector is very responsive to economic crises and to local currency rate. The RCA index was found to be 4.66 in 2007 for Turkey and it decreased to 4.45 by 2009 during the world economic crisis. The other breaking point was 2013 when Turkey experienced both economic and political crises.

Agricultural logistics face unique challenges such as seasonal demand fluctuations, perishability, and geographic dispersion. The paper systematically analyses 63 peer-reviewed articles from 2013 to 2025, focusing on key optimisation techniques, including multi-criteria decision-making (MCDM), vehicle routing problems (VRP), and path planning problems (PPP). The findings highlight how logistics optimisation can reduce operational costs, improve resource utilisation, and enhance supply chain resilience. Additionally, the study identifies gaps in inbound logistics research and emphasises the need for further integration of digital technologies. Future research should focus on comprehensive, technology-driven solutions to improve adaptability and transparency in agricultural supply chains. Key findings reveal that optimised logistics models can lead to cost reductions of up to 58%, emissions savings of over 60%, and significant improvements in delivery time, field efficiency, and customer satisfaction.

Concerns for human health and food safety are gaining momentum in emerging and developing nations as well as in food research due to the reputations that products have established over time. Understanding cross-cultural consumers’ purchasing behaviour for chicken meat (CM) could provide valuable insights into the global food sector since it is the most consumed meat worldwide. This study examines the effect of buying features (BF), culture factors, behavioural attitudes (BA), subjective norms (SN) and perceived behavioural control (BC) on CM actual purchase behaviour (APB) in China and Sierra Leone. Primary data were sourced from 588 Chinese and 410 Sierra Leonean participants. We adopt structural equation modelling (SEM) to verify the model and test the associations between the variables. The SEM results confirm that BF, BA, SN and BC stimulate customers’ intent and actual purchase of CM in both nations. The findings indicate that cultural factors (CF) significantly moderates the association between the independent constructs (BF, BA, SN and BC) and APB in Sierra Leonean markets. This study provides significant insights for chicken industry stakeholders that can help them increase CM sales along the supply chain via a marketing strategy focused on cultural and psychological factors.

Mitigating emissions from the agricultural sector is crucial for achieving sustainable development goals. However, controlling emissions in one sector can lead to unintended consequences in others through leakage effects. Grounded in the theoretical propositions of sectoral shift theory (SST), the rebound effect, and leakage effects, this study investigates the asymmetric impact of environmentally sound technology (EST) imports and exports on agricultural emissions (N₂O and methane) within the framework of the agricultural Kuznets curve (AKC). Utilising a balanced panel dataset of 105 countries from 2010 to 2020, we employ the Westerlund cointegration test to establish long-run relationships among variables. Method of Moments Quantile Regression (MMQR) estimations reveal a positive effect of EST imports and exports on agricultural N₂O emissions, intensifying the impact at higher quantiles. This suggests that industrial emission reductions through EST may have unintended consequences in agriculture via two mechanisms: emission leakage from industry to agriculture and increased agricultural emissions resulting from productivity improvements through the rebound effect. Nevertheless, in line with SST, our results indicate that sustainable agricultural trade can contribute to mitigating agricultural emissions. The AKC hypothesis holds across almost all models. These findings underscore the importance of developing tailored policies to design EST specifically for the agricultural sector, ensuring more effective emission reductions.

Unique challenges have been elicited by climate change, demanding the utilisation of effective adaptation strategies that are both environmentally and economically sustainable. Regrettably, the agricultural sector has not been spared from the effects of climate change, but it is among the largest employers and the primary source of food security globally. The situation is worse in Pakistan, where poverty, hunger, and malnutrition are reported to be prevalent. The complexity of risks posed by climate change has called for climate-smart agriculture (CSA) technologies, which potentially could augment cost efficiency and yield in wheat production. Surprisingly, previous studies have largely overlooked this crucial aspect. Therefore, our research seeks to address two fundamental questions: What is the comparative cost efficiency between adopters and non-adopters of CSA practices in wheat production? And what are the yield effects associated with CSA adoption, particularly compared to non-adopters? To this end, a multi-stage sampling technique was employed to randomly select 400 farm households in a climate risk hotspot province in Pakistan, on which the stochastic frontier analysis (SFA) and endogenous switching regression (ESR) were applied. The results revealed that CSA adoption was associated with improved cost efficiency and yield. Interestingly, if non-adopters decided to adopt CSA, they would increase their wheat yield by about 20%. Given the importance of wheat for food security, this would contribute to poverty and hunger eradication. Therefore, our study conforms to the aspirations of the 2030 agenda by promoting rethinking food production through possible improvement in cost efficiency and yield in the face of a changing climate.

Despite the recognised benefits of climate smart agriculture (CSA) in enhancing farmers' adaptive capacity to climate risks, adoption rates remain low in Sub-Saharan Africa. This disparity can be attributed, in part, to the significant challenges smallholder farmers face in accessing credit from the formal financial sector. In response, Rural Saving and Credit Cooperatives (RUSACCOs) have emerged as crucial sources of funding for both household expenses and agricultural activities. However, despite their increasing importance in improving financial inclusion, little is known about whether participation in RUSACCOs can help alleviate existing credit constraints and promote the adoption of CSA among smallholder farmers. To address this knowledge gap, we employ a recursive bivariate probit (RBP) and propensity score matching (PSM) analysis using data from 400 randomly selected smallholder farmers in Zambia. The analysis controls for three main sources of endogeneity: program placement, endogenous covariates, and self-selection. Our findings indicate that participation in RUSACCOs has the potential to mitigate farmers' credit constraints by 42% and facilitate CSA adoption by 25%. Notably, the alleviation of existing credit constraints is associated with a 14% increase in CSA adoption. These results underscore the previously overlooked role of RUSACCOs in promoting agricultural sustainability. By effectively addressing financial inclusion barriers and providing access to practical agricultural knowledge, RUSACCOs can contribute to reducing the vulnerability of agriculture while fostering sustainable production. Our study suggests that repurposing RUSACCOs to emphasise financial inclusion and promote access to agricultural learning platforms can yield triple benefits: agricultural, environmental, and livelihood sustainability.

Addressing social sustainability, gender dynamics, strengthening educational diversity and ensuring inclusive partnership structures are all key components of promoting inclusion, not only in the agricultural sector. Diversity management is a human resource trend based on respect for inclusive culture, gender and ethnic diversity, multifaceted equality or the use of virtual teams under the right working conditions, but when not applied correctly it may produce undesired effects in agribusinesses as well as in other economics sectors. This paper aims to identify effective approaches to setting working conditions used by organisations to promote inclusion, management diversity and the development of social sustainability. The data were obtained through quantitative research using the Computer Assisted Web Interviewing method (n = 202) and processed using the chi-square test at a 0.05 significance level as well as through qualitative research involving focus groups (n = 10). The study results have demonstrated that investment in diversity education remains crucial. Not only agricultural but also other businesses have begun to use metrics to monitor their diversity and inclusion progress. Organisations are beginning to use artificial intelligence (AI) to remove prejudices in recruitment, identify inequalities in remuneration and ensure inclusion in online communication.

This study investigates the characteristics associated with the adoption of smart farming technologies in Turkish agriculture. By surveying 325 farmers across six regions in Türkiye, the research identifies key attributes influencing adoption patterns. Four distinct profiles emerge: technology users, non-users, young educated female farmers, and traditionalists. Exploratory findings from Multiple Correspondence Analysis (MCA) indicate that attributes such as agricultural insurance, credit utilisation, knowledge of smart farming systems, and tractor ownership are commonly observed among technology users. Ordinal logistic regression further quantifies these associations, highlighting the significant role of financial accessibility and knowledge dissemination in shaping adoption likelihoods. Non-users, on the other hand, are characterised by smaller landholdings, lack of credit use, limited awareness, and absence of tractor ownership, reflecting structural barriers to adoption. Tailored financial solutions and shared machinery parks could help address these challenges. Empowering young, educated women farmers, identified as a key demographic for innovation, offers an opportunity to catalyse broader technology adoption. By addressing knowledge gaps and fostering inclusive policies, this study provides actionable insights to accelerate the technological transformation and sustainability of Türkiye's agricultural sector.

Assessing the agricultural sustainability of farms is challenging, since it involves various aspects that can change over time and differ by location. This paper develops a composite index to evaluate the sustainability of cereal farming in Catalonia, Spain. Using factor analysis, we integrate 21 indicators across economic, environmental, and social dimensions based on the Farm Accountancy Data Network (2016–2021). The results show sustainability scores ranging from 2 to 5, with larger economic s farms outperforming smaller ones by 0.4 points. Five key factors explain the variance in sustainability across farms, with profitability, benefit-cost ratio, and agri-footprint carrying the highest weights. In addition, our empirical findings indicate that subsidy dependence negatively affects the sustainability of farms, while modernisation and environmental management improvements enhance farm performance. This suggests a need for size-specific policy interventions focusing on smallholder management capacity and broader climate adaptation strategies. The methodology could offer a practical tool for monitoring sustainability progress in Mediterranean cereal production systems, and for identifying possible sources of improvements with regard to more sustainable agricultural practices.

The promotion of sustainable food productivity through innovative technologies remains a central priority in economic development, attracting increasing attention from scholars, policymakers, and industry stakeholders. With the continuing rise in global food demand, resource-efficient solutions are essential to ensuring long-term agricultural growth and stability in food production. This study examines the impact of green finance, agricultural innovation, digital technology, trade openness, and climate change on food production in sub-Saharan Africa (SSA). Using the method of moments quantile regression (MMQR) and the generalised method of moments (GMM), it analyses a balanced panel dataset covering 46 SSA countries from 2001 to 2023. The findings highlight the positive influence of green finance, agricultural innovation, and digital technology in enhancing food production, particularly in lower production sectors, suggesting important bidirectional policy implications. Trade openness is found to promote agricultural growth but exhibits diminishing effects at higher levels of productivity, indicating the relevance of a unidirectional policy focus. In contrast, climate change has a negative effect on food production. The study also identifies key mediation pathways, including green finance stimulating research and development, digital technology improving agricultural credit and farmers' education, and trade openness attracting foreign direct investment. These results emphasise the importance of integrated policy frameworks that combine financial support, technological advancement, and trade openness to promote sustainable agricultural growth and strengthen food security across SSA.

The aim of this paper is to investigate whether the more pro-environmental attitudes of farmers influence the technical efficiency of agricultural sectors in EU regions (NUTS-2). To answer this, I employed data envelopment analysis (DEA) for efficiency analysis combined with the double bootstrapped truncated regression to investigate the relationship between environmental attitudes and technical efficiency. I found that this relationship is positive, i.e. pro-environmental attitudes were related to greater efficiency. An increase in the environmental attitude variable by one standard deviation led to an improvement in efficiency of 2.8–6 p.p. The higher share of farmers with formal training also proved to be a positive and significant determinant of efficiency. The share of arable land on which conventional tillage was used, and soil erosion proved to be significant but negative determinants of efficiency. Policymakers should present to farmers the environmental benefits of agricultural policy but should also highlight that greater environmental awareness translates into a more efficient operation.

This study investigates the reciprocal relationship between non-farm employment and mechanisation adoption of smallholders in Vietnam using the longitudinal Vietnam Access to Resources Household Survey (VARHS) 2008–2016 dataset. By employing the correlated random effects with the Mundlak approach to address the selection bias from the unobserved heterogeneity of panel data and the instrumental variables regressions to treat the endogeneity issue of non-farm participation and mechanisation adoption, the findings revealed that non-farm employment and mechanisation adoption have a positive interactive relationship. The mechanisation adoption in agricultural production could save farm labour and allow farmers to engage in non-farm activities. Conversely, non-farm earnings could relax financial constraints and provide opportunities for farmers to invest in mechanisation. The agricultural labour shifting to non-farm work was replaced by hiring machinery services rather than machinery investment when the service market was available and cost-effective. Our study implies practical policies and actionable plans to encourage nonfarm employment and facilitate agricultural mechanisation toward sustainable agriculture and inclusive development in rural communities.

African swine fever (ASF) has spread rapidly, substantially disrupting the pork market. In this study, we treat the 2018 ASF outbreak in China as a quasi-natural experiment, using staggered difference-in-differences (DID) and spatial DID methods to assess its effect on pork prices. We use a structural vector autoregression model to identify the sources of price fluctuations. In the study, we also explore the mechanisms and heterogeneity in the effects of ASF on pork prices. The results show that (i) ASF significantly raises pork prices across various provinces; (ii) live pig prices are positively correlated with finishing pig feed prices, piglet prices and pork prices in the long term but negatively correlated with the ASF index; (iii) the key drivers of live pig price fluctuations include price inertia (59%), finishing pig feed prices (13%), piglet prices (11.5%), pork prices (10.8%) and the ASF index (5.6%); (iv) for pork prices, the largest driver is live pig prices (53.4%), followed by finishing pig feed prices (14%), piglet prices (13.6%), price inertia (13.4%) and the ASF index (5.6%); (v) mechanism analysis reveals that ASF affects pork price fluctuations through farming costs and wholesale-retail profits. The heterogeneity analysis results reveal that provinces with higher internet information levels, weaker agricultural development and those in the eastern region are more vulnerable to the effects of ASF. On the basis of these findings, we offer targeted policy recommendations.

Agribusiness is currently faced with the challenge of providing sufficient quality food for a growing population with limited natural resources. Egg production, as an important source of nutrition, is a dynamically developing sector of livestock production on a global scale. Simultaneously, the increasing public and legal considerations of animal welfare affect egg-producing operations. This paper aims to provide insight into missing evidence in the trade-offs between animal welfare and efficiency in egg-producing farms in the Czech Republic and the European Union. Detailed data were gathered on the extent of the enriched cage and indoor cage-free housing systems (aviaries/barns) among the main 30 Czech table-egg-producers. Original micro data enlarged the information on table-egg producers collected using the Orbis database. For the efficiency analysis at the EU level, data on the housing systems were obtained from Eurostat and combined with aggregated data from the Orbis database. A robust data envelopment analysis was applied which benefits from including animal-welfare variables directly into the efficiency evaluation. The results showed a negative, but statistically insignificant, relationship between the animal welfare and efficiency of the egg producers for the Czech Republic table-egg producers as well as those on the EU-country level.

This study uses micro-financial data to examine the efficiency of agricultural enterprises in Germany and its neighbouring countries. The aim of the study is to introduce a model for the agricultural sector and conduct an efficiency analysis using these data, interpreting the results with specific knowledge in the management of an agriculture company. Both technical and allocative efficiencies were determined, and the companies were ranked. Possible correlations between company size, measured by turnover, and the determined efficiency were analysed. At present, there is a lack of studies in the agricultural sector with high aggregated financial data, which are the basis and necessity for well-founded decision support to increase efficiency. The data envelopment analysis method was used, as a non-parametric procedure from operations research and economics field. Both the constant returns to scale (CCR) and variable returns to scale (BCC) models were used to calculate the efficiency values. The results showed that large and very large companies achieved the highest levels of efficiency. Interestingly, very large companies lost efficiency compared to large companies, suggesting that the optimal efficiency level lies with the latter. Furthermore, the Netherlands was the absolute efficiency leader, while the other countries achieved similar lower efficiencies. This study contributes to the literature by providing a comprehensive efficiency analysis in the agricultural sector based on financial data, thus offering a basis for future studies and political decisions.

Many companies depend on debt sources; they use them to finance their needs. Bank loans are the main debt sources to which companies have access. However, financing only with this source is associated with many risks. The paper’s main goal is to assess and quantify the indebtedness of wineries in Slovakia for 2013–2021 through individual debt ratios. The influence of financial leverage on return on equity (ROE) was tested. The data were drawn from the Register of Financial Statements. From the point of view of the total debt ratio, wineries show values higher than 65%. The presence of short-term debts, especially short-term liabilities, prevailed. The average share of equity reached a very low value of 11%. The average share of bank loans on financing operating activities was very low at the level of 8.53%. The return on assets (ROA) was lower than the cost of debt in most wineries, which means that increasing indebtedness had a negative effect on ROE.

This paper analyses the distribution of CAP subsidies between primary beneficiaries (farms) and final beneficiaries (farm owners) in Slovakia in 2021, using unique micro-level data. The results show a significant inequality in the distribution of CAP subsidies between primary and final beneficiaries in Slovakia. The majority of CAP payments (92% for primary beneficiaries and 89% for final beneficiaries) are concentrated among the top 20% of beneficiaries, with a higher concentration among primary beneficiaries than final beneficiaries. However, there is a reversal at the top stratum of beneficiaries. The top 1% of primary beneficiaries receive 26.2% of CAP subsidies, compared to 31.0% for final beneficiaries. For the remaining 99% of beneficiaries, the distribution of CAP subsidies is more concentrated at the level of primary beneficiaries than at the level of final beneficiaries. The analyses suggest that the implementation of the CAP in Slovakia has not been sufficient to address the unequal distribution of CAP subsidies.

Indonesia is presently ranked as the first crude palm oil producer in the world. However, the palm oil industry faces significant challenges, including extensive criticism related to environmental degradation and social impacts. The circular bioeconomy concept emphasises sustainable production and consumption through the repurposing, recycling, and regeneration of resources to address these challenges. Integrating palm and cattle farming represents a promising approach to enhancing resource efficiency and sustainability in agricultural systems. This study employs a system dynamics analysis to model the circular bioeconomy in the palm oil industry, with a specific focus on addressing cattle feed shortages. The results demonstrate that utilising oil palm biomass can yield a total of 21 204.52 tonnes of feed and generate a yearly revenue of USD 317 020.14. Key findings indicate that integrating palm by-products into cattle feed not only addresses feed shortages but also reduces waste and enhances overall farm productivity. The implications of this study suggest that adopting circular bioeconomy practices in the palm oil industry can promote more resilient and sustainable agricultural practices.

This study contributes to the limited body of research on mergers and acquisitions in primary agriculture by examining how large corporate agroholdings achieve profitable post-acquisition growth for the farms they acquire. Using System GMM estimation, we analyse farm-level data from 648 farms acquired by agroholdings in Ukraine between 2005 and 2016. Our findings show that agroholdings facilitate post-acquisition growth and performance improvements by employing several integration strategies. Specifically, they leverage horizontally integrated structures to: (i) consolidate land resources of acquired farms to achieve scale economies; (ii) reallocate farm resources toward more profitable production lines; and (iii) intensify production on acquired farms. These results support established firm growth theories, namely, the independence of firm growth rates from firm size (Gibrat's law) and the existence of Penrosean limits to growth.

Agricultural carbon emissions (ACE) is a critical contributor to global greenhouse gas emissions, which have already become a common challenge for global carbon reduction. As a major agricultural producer and largest carbon emitter, China has made great efforts to reduce ACE. Using the panel data of 30 provinces in China from 2011 to 2022, this study explores the heterogeneous impacts of formal environmental regulations (FER) and informal environmental regulations (IER) on ACE. The results reveal that both FER and IER have significant effect on reducing ACE, with FER showing a more pronounced effect. The mechanism analysis indicates that agricultural technological innovation and planting structure adjustment play important mediating roles in this impact mechanism. The effect of FER is more remarkable in major grain producing areas than in non-major grain producing areas, while the effect of IER is completely opposite. Compared with coastal regions, both FER and IER have significant inhibitory effect on ACE in inland regions. Additionally, the marketisation level may reinforce the inhibitory effect of both FER and IER on ACE. Based on the empirical results, this study suggests to strengthen the synergistic effect of FER and IER, promote agricultural technology innovation, and formulate targeted policies according to regional differences.