Search Results (125)

Ex-ante appraisal of agricultural policy needs a transparent way to trace how sectoral interventions translate into production. We study the Polish CAP case and ask how much selected actions matter for livestock sectors. We assembled intervention-level budgets from the CAP Strategic Plan for Poland (2023–2027) and sectoral final output for milk, pigs, beef and poultry from Statistics Poland/Eurostat. We built matrices that map actions to sectors, normalized transfers by sectoral output, and separated dedicated from spillover effects. We report two cross-sections (2024, 2028) and a robustness test that perturbs I 1–I 2 allocation shares by ±10% under fixed envelopes. Horizontal income support dominates. In 2024, the cumulative effect of all analyzed actions equaled 16.68% of final output in milk, 14.43% in beef, 5.15% in pigs and 4.29% in poultry; by 2028, these values ease to 15.07%, 12.93%, 3.84% and 4.15%. Coupled payments to cows and young cattle add contributions in milk and beef. The ±10% reweighting of I 1–I 2 keeps the sector ranking unchanged; level changes are moderate (about 0.4–1.2 percentage points). A compact matrix approach provides a replicable map from interventions to sectors and highlights the preponderance of horizontal income support. The pattern—strongest relative support in milk and beef—appears robust to plausible allocation uncertainty. The main limitation is the use of final output as a revenue proxy; extending the matrix to all CAP actions and adding price–quantity feedback would be a natural next step. Policy implication: modest rebalancing of I 1–I 2 shares will not overturn sectoral exposure, but adjustments targeted at beef move levels the most. Full article

Antimicrobial resistance (AMR) is a significant global health concern, and the use of antibiotics in livestock, including swine production, is a major contributor. Vaccines offer a promising alternative for controlling bacterial infections in pigs, but their widespread use is often hindered by biological, economic, and practical challenges. This study surveyed U.S. swine veterinarians to identify which bacterial diseases require better vaccines and to understand the barriers to their adoption. Nineteen veterinarians with an average of 24.7 years of experience were surveyed across 21 states. The results identified Streptococcus suis, Escherichia coli, Mycoplasma hyopneumoniae, and Glaesserella parasuis as the most critical pathogens needing improved vaccines. Veterinarians anticipated significant improvements in vaccine efficacy for S. suis and E. coli during the nursery stage and expressed a willingness to pay 1.8 and 1.9 times their current prices, respectively. While expectations for M. hyo vaccine improvements were not significant, veterinarians expressed the highest willingness to pay (4.2 times the current price), citing the potential for disease eradication. This research highlights that developing effective vaccines for S. suis and E. coli should be the most urgent priority due to their significant economic impact and rising AMR concerns. However, M. hyo vaccine development holds the most economic potential due to the possibility of eradication. Our research provides a roadmap for future efforts to combat AMR in the swine industry, emphasizing key economic, policy, and educational considerations for successful vaccine implementation. Full article

In this study, we investigated the spatial and temporal dynamics of pork carcass prices across European Union Member States, focusing on the influence of wheat prices and population income levels between 2014 and 2023. Our analysis revealed that both input costs (reflected by wheat price fluctuations) and income-driven demand factors exert significant and spatially correlated effects on pork carcass prices. The results demonstrate the existence of spatial interdependencies among neighboring countries, indicating that price changes in one region may propagate through the broader European market. By integrating spatial econometric techniques within a panel data framework, this research provides empirical evidence of the interconnected nature of EU agricultural markets, advancing the existing literature by demonstrating how input markets and consumer income dynamics jointly shape price behavior within an integrated regional economy. Our findings contribute to a deeper understanding of price transmission mechanisms in the livestock sector and offer valuable insights for policymakers seeking to enhance market efficiency and resilience within the Common Agricultural Policy context. Full article

The swine industry is vital to economic stability and household welfare in China and worldwide but remains highly vulnerable to price volatility driven by multiple factors. Capturing the underlying mechanisms of hog price formation is particularly challenging, as conventional models often fail to represent its nonlinear structures and complex multivariate causal dependencies. This study proposes a Deep Granger Causality Inference (DGCI) model that integrates deep learning with causal inference to identify the key driving factors of hog price dynamics. The DGCI model contains a Feature Reconstruction Module (FRM) and a Granger Causality Module (GCM). The FRM integrates a Variational Autoencoder (VAE) with a Transformer to capture latent temporal representations of multivariate variables. Meanwhile, the GCM quantifies nonlinear Granger causality strength by systematically excluding features to measure their causal impact on hog price. Furthermore, this study proposes the Causal Feature Importance (CFI) metric, which jointly evaluates reconstruction fidelity and causal strength to identify key determinants. To evaluate the model performance, this study utilizes a real-world hog dataset from China. The results demonstrate considerable gains, with DGCI decreasing MSE by 17.59% to 39.22% and MSPE by 32.35% to 54.90% relative to baseline models. The DGCI model highlights pork price, piglet cost, and slaughter volume as the primary determinants of hog price, with CFI values of 1.5216, 1.4451, and 1.4266, respectively. By advancing understanding of the causal drivers of price volatility, this study contributes to informed decision-making, enhanced food security, and the sustainable development of the swine industry. Moreover, as a generalizable methodology, the proposed framework can be broadly applied to analyze the influencing factors of other agricultural and livestock products. Full article

Livestock and poultry genetic resources form the cornerstone of elite population breeding, new breed development, and global food security. The yak (Bos mutus), endemic to the Qinghai–Tibet Plateau, is indispensable for maintaining regional biodiversity and ecological stability. The Datong yak—China’s first nationally recognized cultivated yak breed and the world’s inaugural domesticated yak variety—plays a pivotal role in enhancing yak production performance, mitigating grassland–livestock conflicts, and restoring degraded grasslands. This study aimed to provide a scientific basis for the conservation and sustainable utilization of yak genetic resources by comprehensively evaluating the genetic resource value of Datong yaks. We employed the market price method, opportunity cost method, and shadow engineering method to assess four value dimensions—aligned with the Food and Agriculture Organization (FAO) livestock genetic resource value framework and adapted to China’s yak production context: direct use value (DUV), indirect use value (IUV), potential use value (PUV), and conservation value (CV). Data were collected through expert consultations, semi-structured interviews, and questionnaire surveys in Datong County (Qinghai Province, the core production area of Datong yaks) between August and September 2024, with the widely distributed Qinghai Plateau yak serving as the control breed. Based on a recent market survey, the total genetic resource value of Datong yaks in China was estimated at CNY 2.505 billion in 2024, highlighting the increasing economic and strategic significance of yak genetic resources. Among the four value dimensions, PUV accounted for the largest share (65.67%), driven by superior production performance, market price premiums, and reduced feeding costs. DUV contributed 20.72%, reflecting the value of biological assets and beef products; IUV represented 7.10%, primarily associated with grassland conservation benefits; and CV constituted 6.51%, encompassing costs for genetic resource preservation and cultural heritage contributions. These results underscore the substantial potential of Datong yak genetic resources, particularly given their unique adaptation to high-altitude environments and their critical role in supporting local livelihoods and ecological stability. Future research should focus on expanding breeding programs and genetic conservation, optimizing industrial and value chains, and strengthening genetic improvement initiatives to promote ecological security and sustainable development of the yak industry on the Qinghai–Tibet Plateau. Full article

The livestock sector in Serbia has been experiencing a prolonged period of structural and economic challenges, characterized by decreasing animal numbers, low productivity, and reduced competitiveness in both domestic and EU markets. This study analyses the key structural, technological, economic, and policy factors shaping these trends to provide strategic recommendations for sustainable sector revitalization. The methodology integrates macroeconomic analysis, agricultural economic accounts, and international trade data, applying regression modelling to examine relationships between domestic food prices, exchange rates, and agri-food import volumes. The results indicate that livestock’s share of agricultural gross value added remains below 35%, significantly lower than EU averages, while export quotas remain underutilized and the trade balance for animal products is persistently negative. Contributing factors include fragmented farm structures, outdated production technologies, limited adoption of innovations, demographic decline in rural areas, and insufficient alignment with EU CAP Strategic Plans and Green Deal objectives. Climate change impacts, such as droughts and heat stress, alongside animal disease outbreaks and macroeconomic pressures, further exacerbate these vulnerabilities. The study recommends modernizing production systems through investment in technological upgrades, strengthening farmer organizations and cooperatives, enhancing biosecurity and animal welfare standards, and improving policy frameworks to align with EU sustainability objectives. Emphasis is placed on developing integrated approaches that simultaneously address productivity, economic resilience, and environmental sustainability. Implementing these strategic measures is essential for enhancing food security, supporting rural development, and ensuring Serbia’s successful integration into the EU market as part of a more sustainable and resilient agri-food system. Full article

Global policy narratives on livestock development increasingly emphasize environmental concerns, often overlooking the social dimensions of the sector. In the case of dairy, the world’s most valuable agricultural commodity, its role in social and economic development remains poorly quantified. Our study contributes to a more balanced vision of the UN SDGs thanks to the inclusion of a socio-economic dimension. Here we present a novel empirical approach to assess the socio-economic impacts of dairy development using a new global dataset and non-parametric modelling techniques (local polynomial regressions), with yield as a proxy for sectoral performance. We find that as dairy systems intensify, the number of farm households engaged in production declines, yet household incomes rise. On-farm labour productivity also increases, accompanied by a reduction in employment but higher wages. In dairy processing, employment initially grows, peaks, and then contracts, again with rising wages. The most substantial impact is observed among consumers: an increased milk supply leads to lower prices and improved affordability, expanding the access to dairy products. Additionally, dairy development is associated with greater agricultural value added, an expanding tax base, and the increased formalization of the economy. These findings suggest that dairy development, beyond its environmental footprint, plays a significant and largely positive role in social transformation, yet is having to adapt sustainably while tackling labour force relocation, and that dairy development’s social impacts mimic the general agricultural sector. These results might be of interest for the assessment of policies regarding dairy development. Full article

This study evaluates the perceived value of the “100% Autochthonous Breed” label in beef purchasing decisions, comparing its influence with two well-established official certifications: organic and Protected Geographical Indication (PGI). A face-to-face survey was conducted with 900 consumers across Spain, using a choice-based conjoint experiment and hierarchical cluster analysis. The results indicate that although price is the primary determinant at the aggregate level, segmentation revealed distinct consumer profiles for whom the “100% Autochthonous Breed” label generated higher utility than other attributes. Specifically, four clusters were identified: Group I (18.6%) preferred the organic label; Group II (46.6%) prioritized low price; Group III (22.9%) valued the combination of PGI and the autochthonous breed label; and Group IV (11.9%) showed a preference for high-priced products featuring the “100% Autochthonous Breed” label. The findings highlight the strategic potential of this certification as a differentiation tool for sustainable, extensive, and territorially embedded livestock systems. Full article

Rice spikelet rot disease (RSRD) affects the production and market price of rice, and can be harmful to humans and livestock. In this study, 51 strains of Fusarium spp. were isolated from rice spikelets in the Lin’an, Yuhang, and Fuyang regions. The isolates comprised four composite species: Fusarium incarnatum-equiseti species complex (FIESC), Fusarium asiaticum species complex (FSAMSC), Fusarium fujikuroi species complex (FFSC), Fusarium commune species complex (FNSC), and five species of Fusarium spp. (F. luffae, F. sulawesiense, F. asiaticum, F. fujikuroi, and F. commune). The separation rate of F. sulawesiense was the highest (41.2%), followed by F. asiaticum at 37.3%. The results of this study, compared with those of other studies, found that the newly discovered species of Fusarium spp. associated with RSRD were FSAMSC (F. asiaticum) and FNSC (F. commune). Temperature is one of the important factors causing RSRD; the optimal growth temperature for F. sulawesiense and F. commune was 30 °C, and the optimal growth temperature for other species was 25 °C. A high temperature of 35 °C did not inhibit the growth of Fusarium, as F. commune and F. fujikuroi could grow at this temperature. At 20–30 °C, the growth rate of F. asiaticum was higher than those of other strains. To determine whether the occurrence of RSRD is related to the correlation between Fusarium and other fungi in rice spikelets under different health conditions, the genetic diversity of fungi in rice spikelets was analyzed by amplicon Internal Transcribed Spacer (ITS) sequencing, and the correlations between strains of Fusarium spp. were measured. The results showed that the fungal diversity of diseased rice spikelets (RD) was higher than that of relatively healthy rice spikelets (RH). Curvularia spp., which was affected by the condition of the spikelets, was negatively correlated with Fusarium spp. in RH and positively correlated with Fusarium spp. in RD. Therefore, Fusarium spp. and Curvularia spp. can jointly cause the occurrence of RSRD. The results of the study are significant for understanding the occurrence of RSRD and formulating prevention and control measures. Full article

Precision Livestock Farming (PLF) applies a complex of sensor technology, algorithms, and multiple tools for individual, real-time livestock monitoring. In intensive livestock systems, PLF is now quite widespread, allowing for the optimisation of management, thanks to the early recognition of diseases and the possibility of monitoring animals’ feeding and reproductive behaviour, with an overall improvement of their welfare. Similarly, PLF systems represent an opportunity to improve the profitability and sustainability of extensive farming systems, including those of small ruminants, rationalising the use of pastures by avoiding overgrazing and controlling animals. Despite the livestock distribution in several parts of the world, the low profit and the relatively high cost of the devices cause delays in implementing PLF systems in small ruminants compared to those in dairy cows. Applying these tools to animals in extensive systems requires customisation compared to their use in intensive systems. In many cases, the unit prices of sensors for small ruminants are higher than those developed for large animals due to miniaturisation and higher production costs associated with lower production numbers. Sheep and goat farms are often in mountainous and remote areas with poor technological infrastructure and ineffective electricity, telephone, and internet services. Moreover, small ruminant farming is usually associated with advanced age in farmers, contributing to poor local initiatives and delays in PLF implementation. A targeted literature analysis was carried out to identify technologies already applied or at an advanced stage of development for the management of grazing animals, particularly sheep and goats, and their effects on nutrition, production, and animal welfare. The current technological developments include wearable, non-wearable, and network technologies. The review of the technologies involved and the main fields of application can help identify the most suitable systems for managing grazing sheep and goats and contribute to selecting more sustainable and efficient solutions in line with current environmental and welfare concerns. Full article

Contract farming has become a sustainable strategy in agriculture around the world. Formal farming contract in pig production is one of the priorities of the Vietnamese Government for livestock development. Due to the differences in husbandry methods, a comparison of the technical efficiency between contract and noncontract pig farms has not been studied in Vietnam yet. This study attempts to do so and proposes implications for the sustainable development of pig production in Vietnam. In this study, we surveyed 201 pig farms (63 contract farms and 138 noncontract farms) in Hanoi, Vietnam, and applied data envelopment analysis (DEA) with a meta-frontier. Under group frontiers, the technical efficiency of the contract and noncontract farms are 96.11% and 88.64%, respectively. However, the meta-technology ratios of the two groups are 82.30% and 99.99%, respectively, which means that contract farms’ technical efficiency is lower than noncontract farms. An interesting finding is that although the technical efficiency of contract farms is lower than noncontract farms, their annual pig income is significantly higher, making contract farming attractive to farmers. Results of Tobit regression models showed that land rent is one of the important factors that reduce the technical efficiency of both contract and noncontract farms. This result implies that the Vietnamese government should revise the land limit policy so that farms can own more land. Another finding is that the high feed price reduces the technical efficiency of noncontract farms. The policy implication from this finding is that the Vietnamese government should develop domestic raw material areas for feed production to lessen the dependence on imported raw materials from abroad, which contributes to reducing the feed prices in Vietnam. Full article

Extreme climate events are increasing in severity and frequency and affecting the livelihood of pastoralists. Understanding these impacts is crucial for developing effective management strategies. Thus, this study examines the effects of drought on livestock production and market dynamics in semi-arid Ethiopia and explores the adaptation strategies employed by Borana pastoralists. Both the Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) were used to calculate indicators of drought severity between 1993 and 2022. Surveys were also conducted in 244 selected households. In addition, focus group discussions and field observations were conducted to investigate the adaptation practices of Borana pastoralists to drought. A line graph was used to illustrate the relationship between the Standardized Precipitation Index (SPI) and livestock market prices. The study found extreme drought in 1985, 2000, and 2011, with the most severe to moderate dryness occurring in the Arero, Elwaya, Dubuluk, Guchi, and Yabelo areas. The study found that severe droughts are increasing, affecting pastoralists’ livelihoods. The recurring drought led to a shortage of feed and water, which resulted in the starvation and death of livestock and jeopardized the livelihoods of pastoralists. In addition, the decline in milk production and falling market prices are said to have had a negative impact. Diversification of livelihood sources, mobility of livestock to seek out forage and water resources, and diversification of herd composition to take advantage of varying drought tolerance have been the usual long-term adaptation strategies of Borana pastoralists. Given the multiple negative impacts of climate change, development interventions in pastoral and agro-pastoral areas of Ethiopia should focus on proactive measures to reduce the impacts of climate change on livestock production. Full article

As a staple food and a key component of livestock feed, the growing demand for maize in Indonesia has spurred the expansion of hybrid maize cultivation. However, despite advancements in seed technology and government initiatives to boost maize production, farmers in rural areas continue to face obstacles in accessing high-quality seeds. This study explores the influence of the marketing mix—encompassing product, price, promotion, and distribution—alongside personal factors on farmers’ purchasing decisions for hybrid maize seeds in Soppeng District. Utilizing structural equation modeling (SEM) and survey data from 100 respondents, the findings indicate that product quality and price are the most critical determinants, with farmers prioritizing seed performance and affordability. Distribution also plays a vital role in rural areas, ensuring that farmers can readily access high-quality seeds. At the same time, personal factors such as farming experience and income significantly shape purchasing behavior. Notably, promotional efforts appear to have a limited impact, suggesting that traditional marketing approaches may not be the most effective in this context. Seed companies should focus on product development, refine pricing strategies, and strengthen distribution networks to enhance market penetration. In parallel, policymakers can facilitate access to agricultural credit, invest in rural infrastructure, and promote farmer education programs to improve purchasing power and awareness. Ultimately, adapting marketing strategies to align with local economic and cultural conditions can drive greater adoption of hybrid seeds, boost agricultural productivity, and contribute to the long-term sustainability of rural farming communities. Full article

The integration of ecosystem services (ESs) valuation into agricultural policy frameworks is critical for fostering sustainable land management practices. This study leverages the redesigned version of the bio-economic farm model MODAM (Multi-Objective Decision Support Tool for Agro-Ecosystem Management) to estimate the shadow prices of ESs, enabling the derivation of demand and supply curves for nitrate leaching and soil erosion control, respectively. Two hypothetical farms in Brandenburg, Germany—a smaller, arable farm in Märkisch-Oderland and a larger, diversified farm with livestock in Oder-Spree—are analyzed to explore the heterogeneity in shadow prices and corresponding cropping patterns. The results reveal that larger farms exhibit greater elasticity in response to green taxes on nitrate use and lower costs for supplying erosion control compared to smaller farms. This study highlights the utility of shadow prices as proxies for setting green taxes and payments for ecosystem services (PESs), while emphasizing the need for differentiated policy designs to address disparities between farm types. This research underscores the potential of model-based ESs valuation to provide robust economic measures for policy design, fostering sustainable agricultural practices and ecosystem conservation. Full article

The present study aims at investigating the potential impacts of agricultural policies on GHG emissions from agriculture across the European Union. The study begins by providing evidence on how the key CAP reforms contributed to the structural changes the European agriculture faced in the past. Based on these facts, we introduce the context of implementation of the 2014–2022 Common Agricultural Policy (CAP), within which many interventions were designed to improve sustainability and increase competitiveness, and we formulate hypotheses on how CAP instruments can contribute differently to influencing GHG emissions from agriculture. The hypotheses formulated concern the following: (1) the influence of the income support payment on land prices and, consequently, on land distribution between small and large landowners; (2) the influence of the coupled payment on agricultural specialization; (3) the influence of agri-environmental-climate measures on the sustainable management of agricultural lands. These causalities can have direct and indirect effects on GHG emissions from agriculture. The method of qualitative comparative analysis (QCA) is used to investigate the above-mentioned causalities and to cluster observations based on similar combinations of conditions (i.e., drivers) and outcomes (i.e., positive or negative variations in GHG emissions from agriculture between the end and the beginning of the CAP programming period). The results reveal that the increase in GHG emissions from agriculture over the study period is mainly attributable to the low share of agricultural land under management contracts targeting climate change mitigation and carbon sequestration through the CAP. CAP payments coupled with production were found to contribute to further increasing GHG emissions from agriculture in some eastern and northern EU countries. Livestock concentrations, income support payments and the high price of agricultural land drive the increase in GHG emissions for other central and eastern EU countries. The paper concludes by addressing existing shortcomings due to conflicting interventions in the current CAP strategic plans. Full article