Fulltext search in archive

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.

The negative benefits derived from the long-term separation of agriculture and animal husbandry in China have hindered the sustainable development of agriculture and the transformation of agricultural modernisation. The relationship between agriculture and animal husbandry is reconstructed from separation to reintegration. Focusing on the micro-agricultural production level, it relies on farmers to moderately adjust the existing family management structure and choose the family management mode combining planting and breeding. Structural and synergistic contradictions exist between agricultural economic development and ecological protection in the main corn-producing areas. Therefore, based on the micro-survey data of Jilin Province, China, the paper analyses the factors and mechanisms that influence farmers' choice of the combined management mode of planting and breeding. The results showed that the scale of land management, the stability of cultivated land management rights, the policy insurance of animal husbandry, the average profit of beef cattle head, and the cognition of income growth of animal husbandry were positively correlated with farmers' choice of the combined management mode. The spatial distance between farming and animal husbandry was negatively correlated with farmers' choice of management mode. There are mediating effects of animal husbandry breeding technology in farmers' choice of combined management mode, and there is regional heterogeneity in farmers' choice of combined management mode. Therefore, the reconstruction of the relationship between agriculture and animal husbandry should rely on large-scale farmers, optimise the planting structure of the main corn-producing areas, take multiple measures to stabilise the management right of cultivated land, and further improve the policy insurance and breeding technical support system of animal husbandry. This study can provide a theoretical framework and practical reference for reconstructing the relationship between agriculture and animal husbandry in China and other developing countries.

The global focus on the relationship between digitisation and agricultural carbon emissions remains high. However, research on the systemic ramifications of comprehensive digital policy implementation remains limited. Against the backdrop of China's pursuit of carbon neutrality and carbon emission peaking targets, we employed the difference-in-differences method to investigate the impact of applying a digital policy on agricultural carbon emissions. Our findings indicated that the implementation of the National Big Data Comprehensive Pilot Zone policy could effectively mitigate agricultural carbon emissions, resulting in a sustained positive influence. The intermediary mechanism test results validated the beneficial effects of financial expenditures on science and technology, as well as the number of information practitioners. The regional heterogeneity analysis results revealed that the policy effect was obvious in the major grain-producing areas but not in the major grain-selling areas or production–marketing balance areas. Additionally, differences in policy effectiveness were observed across different crop types. This study not only offers valuable insights for agricultural carbon reduction in China but also provides robust case data and guidance for other developing countries worldwide in the formulation and execution of digital policies aimed at promoting agricultural carbon emission reduction.

The paper explores the influence of global pandemic uncertainty (GPU) on food prices (FP) by using the mixed-frequency vector autoregression (MF-VAR) model. Empirical findings indicate that the influence of GPU on FP varies across different scenarios, exhibiting either positive, negative, or insignificant effects. A positive influence implies that GPU fuels panic-buying and stockpiling behaviours, thereby boosting food demand. Concurrently, disruptions in agricultural production and food export restrictions tighten the market supply, potentially pushing FP upwards. Conversely, a negative effect suggests that the global economic downturn and food safety anxieties stemming from pandemic-related uncertainty may dampen food demand, causing FP to decline. In some instances, FP remains unaffected mainly by GPU due to the competing pressures from adverse climate change risks on the food market. Notably, FP's predictive error variance decomposition underscores that the net impact of GPU on FP is stimulatory. This overall effect aligns with the inter-temporal capital asset pricing model (ICAPM), which posits a positive influence of GPU on FP. The findings recommend that consumers and investors diversify their food sources, while policymakers should bolster food supply chain resilience, promote sustainable agriculture, establish emergency reserves and coordinate aid.

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.

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.

As the strategy for building a robust agricultural nation gains momentum and agricultural science and technology advances, the quality of agricultural products has seen significant improvement, accompanied by an increase in the economic income of agricultural producers and operators. Therefore, the fair and reasonable implementation of the revenue distribution of the agricultural supply chain is of great significance in improving the quality of agricultural products and ensuring the stable operation of the supply chain. The article focuses on the three main bodies of the agricultural supply chain, namely production and price co-integration enterprises, logistics service enterprises and sales enterprises, and utilises the matrix semi-tensor product to establish the Shapley value revenue allocation model of the interval cooperation game, so as to make the revenue allocation of the governance of agricultural products' quality in the digital supply chain more reasonable and scientific. Finally, numerical examples verify the Shapley value model, demonstrating that this revenue allocation scheme, when applied, can boost the overall supply chain's revenue through cooperative agricultural product quality management, elevate agricultural product quality and market competitiveness, and foster collaboration to ensure the stability of supply chain operations.

Assessing and optimising the efficiency of agricultural and pastoral systems is crucial for the long-term development of a country. The presence of shared factors and undesirable outputs increases the complexity of evaluating the efficiency of these systems. To address this issue, we first analysed the production possibility sets of the agricultural subsystems, pastoral subsystems, and agricultural and pastoral systems. Then, two bounded adjusted measure (BAM) models considering shared factors and undesirable outputs were proposed to evaluate the divisional efficiency of agricultural and pastoral subsystems. Additionally, a network BAM model in the presence of shared factors and undesirable outputs was developed to assess overall efficiency. Undesirable outputs were handled by slack-based measures in the three novel models. The proposed models were used to evaluate the efficiency of agricultural and pastoral systems across 30 provinces and cities in China. To explore the impact of undesirable outputs, the efficiency of ignoring undesirable outputs was investigated and compared with that obtained from the new method. These results suggest that ignoring undesirable outputs may misestimate efficiency to a certain extent.

This study explores the impact of contract farming on household income and rural poverty alleviation using measures outlined by World Bank among 410 smallholder Kenyan poultry farmers. Using endogenous switching regression and propensity score matching models, we found that contract farming significantly boosts household income, with participants experiencing a 74% increase. If non-participants had engaged in contract farming, their income could have risen by 45.59%. The average treatment effect on the treated was USD 0.21 per capita per day, corresponding to a 9.83% reduction in extreme poverty and a 16.90% reduction in poverty severity. Written contracts proved the most effective in poverty alleviation, contributing to reduction of 12.17% and 20.93% in extreme poverty and poverty severity respectively. Spot transactions resulted in a 10.35% reduction in extreme poverty and a 17.80% reduction in poverty severity, while unwritten contracts had the least impact, with reductions of 7.92% and 13.62%, respectively. These findings demonstrate the substantial benefits of contract farming in improving household income and alleviating rural poverty. They highlight the importance of implementing and supporting written contracts to maximise poverty reduction. Targeted policy interventions and support for contract farming could further enhance its effectiveness and contribute to sustainable rural development.

The study aims to analyse the impact of application of chemical inputs like fertilisers or crop protection products on farm crop yield productivity in Estonian and Slovenian agriculture. We combined the propensity score matching (PSM) method with an inverse probability weighted regression (IPWRA) model to derive treatment effects of the adoption of these critical inputs using Farm Accountancy Data Network data. Results exhibit consistency across estimation techniques. Estimates of both IPWRA and PSM models showed that adoption of at least one of the chemical inputs decreases volatility of crop yield output and downside risk. The results are more robust for Estonian than for Slovenian farms suggesting on possible impacts of other exogenous factors such as climate change on mitigating the crop yield downside risk.

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.

Farmland transfer is a practical need for China to achieve agricultural mechanisation and modernisation, and also an important way for farmers to optimise their family resource allocation. The existing studies ignore the impact of farmland transfer on the environment, especially carbon emissions. The practical significance of this paper lies in exploring the likely mechanisms driving the effect of the farmland transfer on agricultural carbon emissions from a microeconomic perspective using data from rural households, based on the heterogeneity of land management scale. Results show: (i) Land transfer impacts carbon emissions differently. Land transfer of small-scale farmers increases carbon emissions, while large-scale farmers reduce them. The threshold value of land management scale is 1 ha. (ii) The impact mechanisms are water-saving technology adoption and input of fertilizers and pesticides. Small-scale farmers increase fertiliser and pesticide input after land transfer, increasing carbon emissions. Large-scale farmers mostly reduce irrigation electricity consumption, as well as fertilizer and pesticide input, thus reducing agricultural carbon emissions. In conclusion, it is recommended to guide farmers to expand farmland transfer scale through subsidy policies; guide small-scale farmers' green agricultural production behaviours; and increase the adoption rate of water-saving technologies.

Agroecosystems provide a number of ecosystem services that are essential to human well-being.  The valuation of these services by stakeholders offers important information that can be used to manage them more efficiently. In agroecosystems, individual stakeholder preferences can be heterogeneous and even opposing. This paper puts forward a novel analytical framework based on game theory to integrate the valuation of ecosystem services by different stakeholders into agroecosystem management. To illustrate it, the agricultural region of Los Vélez (south-eastern Spain) is used and three game modalities are applied (prisoner’s dilemma, common-pool resource game and battle of the sexes). Results indicate that the use of game theory contributes to more effective conflict resolution between stakeholders with different interests and priorities, making it easier to reach consensus on optimal management strategies. This approach can guide policymakers in the design and implementation of socially accepted agroecosystem management policies.

The circular economy (CE) has proven to be an effective solution for sustainable development in the last two decades, especially in the context of multiple crises. As a long-term strategy, business managers are seeking a sustainable business model that harmoniously and efficiently integrates prosperity, social security, and resource conservation. This research highlights the essential role of components such as green logistics (GL) and green human capital (GHC) in sustainable production (SP), which is necessary for the successful implementation of CE. The study, based on data collected from 117 companies in the Romanian food industry, uses partial structural equation modelling to explore the causal relationships between these variables. The results show that both green logistics and green human capital are important factors for circular economy, and sustainable production significantly mediates the relationships between green human capital, and circular economy, but not significantly for green logistics. Thus, it is concluded that sustainable production has a determining positive effect on circular economy. Although the research is limited by the geographical and sectoral context, it contributes theoretically and practically by analysing the relationships between these concepts and the relevant managerial implications.

This paper evaluates the risk-adjusted performance of multivariate agricultural portfolios using the Stutzer ratio, an advanced measure that accounts for non-normal return distributions and downside risk. Three four-asset portfolios – grains, softs, and meats – are analysed in this study. The Stutzer ratio incorporates a risk-aversion parameter (θ) that penalises tail risk, providing a more accurate assessment of skewed and fat-tailed returns. Results show that Stutzer-optimised portfolios outperform naïve equal-weight portfolios in risk-adjusted terms, as optimisation effectively balances expected returns and downside exposure. Among the three portfolio categories, the softs portfolio exhibits the highest Stutzer ratio, with the meats portfolio following closely behind. Both portfolios have a relatively high tail-adjustment parameter (theta), indicating a reduced exposure to downside risk and a lower likelihood of extreme negative returns. Consequently, their risk-adjusted performance suggests greater return stability, making them particularly attractive to long-term investors.

This study employs the African swine fever (ASF) outbreak as a quasi-natural experiment to assess its impact on pork prices and the underlying mechanisms. Utilising panel data from 30 Chinese provinces from January 2017 to December 2022, we apply a difference-in-differences (DID) approach combined with a moderating effect model. Furthermore, through DID quantile regression models, we delve into the impact of the epidemic on price volatility under varying initial pork price growth rates and regional institutional conditions. The findings reveal that the outbreak triggered a significant increase in the pork price, which averaged approximately 6%. During this process, the hog inventory exhibited a positive moderating effect on price increases, with steeper price hikes occurring during inventory declines. The outbreak further widened regional price disparities, with more pronounced increases occurring in areas experiencing earlier and steeper initial price rises, alongside more developed agricultural economies. Consequently, governments should adopt targeted regulatory strategies tailored to the distinct characteristics of pork price fluctuations. Simultaneously, enhancing coordination across all links in the industrial chain and optimising public information platforms can mitigate the impact of sudden animal disease outbreaks on the pork market.

This paper deals with the sources of total factor productivity (TFP), namely technical efficiency, scale efficiency, and technological change, considering the size of agricultural producers and using balanced panel data in the period 2014-2018 drawn from the Farm Accountancy Data Network (FADN) database for three sectors of Czech agriculture - cereals, milk, and beef. The investigation is based on the stochastic frontier (SF) modelling of an input distance function (IDF) with four error components (heterogeneity, statistical noise, persistent and transient inefficiency). The sector-specific models are estimated by a four-step estimating procedure with a system generalised method of moments (GMM) estimator to address the endogeneity problem. The results reveal inter- and intra-sectoral differences in productivity drivers. In particular, the smallest producers lag considerably behind the largest ones due to the scale effect (SEC). While large farms should focus on technological change, improvements in scale and technical efficiency have been identified as the main sources of coping with productivity losses for small farmers.

This paper uses the global trade analysis project (GTAP) to evaluate the impact of grain export restrictions on world food security during the COVID-19 epidemic. The study found that export restrictions distort world market prices, which in turn distort consumption and production, harm the interests of consumers and farmers in some countries, and threaten food security. In this regard, maintaining the convenience of the food trade is the wise choice of all countries. It is necessary to tighten the World Trade Organization (WTO) disciplines related to export restrictions, strengthen global food security governance and jointly build a community with a shared future for mankind.

Currently, technological development is driven by the search for solutions to prevent climate change and environmental degradation, increase energy efficiency, and meet societal needs in relation to avoiding conflict while navigating the implementation of current and future needs. Many of the solutions come from the rapid development of the bioeconomy. The aim of this article is to determine the impact of bioeconomy variables on economic growth in 27 EU countries. The research goal of the paper is based on the estimation of dynamic panel models using the generalized method of moments (GMM). The following set of variables used in the dynamic panel model had a positive impact on economic growth in the EU-27 countries: greenhouse gases by sector: agriculture, circular material use rate, recycling rate of packaging waste by type of packaging - plastic packaging, recycling rate of packaging waste by type of packaging - wooden packaging. Three variables were shown to have a negative impact on economic growth, namely: recycling rate of municipal waste, recycling rate of e-waste, trade-in recyclable raw materials - exports extra-EU.

Using the logistic model, this article investigates the influence of financial factors on gaining profits for new firms in the Spanish food industry. Specifically, the firms founded separately during the crisis period and during the postcrisis period are observed for their first three years. The findings suggest that indebtedness (for both periods), previous profitability (for the postcrisis period) and accounts payable (for the crisis period) were most frequently statistically significant in the logistic model. Hence, for new firms, controlling debt burden, accumulating internally generated funds and using payables to establish business relationships can help to gain profits. Firm size and asset rotation were significant in the first year (especially during the postcrisis period), with a positive relationship to profits. Given that the food industry is highly competitive, enlarging firm size to reach efficiencies of scale and using a low-price strategy with high asset rotation to obtain market share are effective marketing strategies for new firms. This article contributes to the empirical studies about the financial effects on new firms' profits in the food industry; it can also help potential entrepreneurs make better decisions about starting new businesses and help to manage new firms better in different macroeconomic environments.

The volatility of food prices still raises concerns among agricultural market players, increasing interest in the futures markets, thus calling for a better understanding of the connection between the futures and the Italian spot prices. This study uses symmetric and asymmetric vector error correction models to investigate the relationship between futures and spot prices for the Italian agricultural markets of soybean, corn, and milling wheat. The results confirm the leading role of the futures contract prices for all the considered commodities. Moreover, the non-linear cointegration analysis results suggest price transmission's asymmetries for all the agricultural commodity prices. This research provides critical insight into the shape of the futures-spot price transmission.

The aim of this paper is to outline the relationship between income and assets when taking into account selected models of farms' functioning. The following farm models are examined: traditional, industrial, sustainable, and organic. Panel models were used that were based on the results of individual unpublished data for farms in Poland that undertook agricultural accounting according to the Farm Accounting Data Network (FADN) principles from 2004 to 2019. It was found that industrial farms had the clearest income-assets relationship, while traditional farms had the least clear relationship. The value of land, as a component of assets, was found to weaken the income-assets relationship. In consequence, the value of assets increased faster than income. Thus, the farmers are becoming wealthier in terms of the value of their assets, but this is not reflected in their income.

The paper responds to the ongoing trends in meat consumption in developed countries and fills the gap in empirical studies on consumer segmentation by preferences in the purchase of meat and meat products in the Czech Republic. The paper aims to assess the differences between the consumer segments according to their preferences in purchasing meat and meat products. The data source was a quantitative questionnaire survey conducted among a representative sample of 992 respondents. An exploratory latent class analysis segmented consumers according to the decision-making criteria when buying meat and meat products. The results complete the picture of the meat and meat products market in terms of consumer behaviour and contribute to a better understanding of meat consumption. The segmentation of consumers according to their preferences resulted in three different categories of consumers, which differ in their purchase decision criteria and socio-demographic characteristics. The segments do not differ significantly in terms of occupation status, region, community size or income level of the respondents. The differences between the generations are much more critical, which were evident in the respondents' average age and household composition. Producers and retailers should better target their marketing activities and communication to different segments.

This study attempts to contribute to the debate on the impact of corporate social responsibility (CSR) on the financial performance (FP), image and reputation (IR) of agri-food firms, examining whether the legal form of organization (LFO) (cooperatives vs. capital firms) moderates these relationships. To this aim, we also consider the potential effects of two scarcely investigated factors that can determine firms' CSR orientation, that is, the capacity to absorb CSR-related knowledge and the perception that managers have of ethics and social responsibility. Using data from a sample of 107 trading firms in the agri-food sector in Almeria (Spain), we show that both factors play a decisive role in the firms' CSR orientation, which has been measured as a multidimensional construct. Also, the orientation towards socially and environmentally responsible practices positively affect IR of agri-food firms and their FP. The relationship with the FP is stronger in the case of cooperatives compared to capital firms. Key implications for researchers and practitioners are discussed.

In this paper, we used several elaborate return-to-risk methods to investigate the risk-adjusted performances of five soft commodities. Regarding only the level of risk, we found that cocoa had the highest risk of losses, followed by orange juice. Cotton and coffee had the lowest risk of losses. However, according to the return-to-risk output, cotton was the worst asset in which to invest because it had negative average returns. In contradistinction, sugar had a relatively high risk of losses but also the highest average returns, which put it in the first place according to the Sharpe, Sortino and modified Sharpe ratios. Although orange juice had the second-worst downside risk performance, it came in second place according to the return-to-risk ratio because it had relatively high average returns.

The aim of this study was to revisit the relationship between productivity and performance by using the panel data model on Taiwanese food listed firms during 2008-2020. The result found that there is a U-shaped relationship between productivity and performance. On the contrary, research and development (R&D) innovation and performance have an inverse U-shaped relationship, reminding that when the food listed firms have a specific R&D innovation base, they should invest more powerful resources, professional productivity, and innovate the food listed firms.

Due to its specificity, animal production depends to a lesser extent than plant production on agrometeorological conditions. Interdependence between the prices of animal products and climatic conditions manifests itself primarily through the fodder markets, which determine the profitability of animal breeding and keeping. The process of economic integration should contribute to a decline in price differentiation between European Union (EU) countries. In the case of the pig market, however, it is necessary to bear in mind the pig cycle, which particularly affects the supply of livestock and their prices. The Common Agricultural Policy (CAP) currently implemented is not adapted to the turbulent global challenges and, underlining the lack of tools adequate to the increasingly frequent and stronger price fluctuations in agricultural markets, consider it necessary to quickly implement a new strategic reformatting of the EU agricultural policy. This study aims to examine the stochastic convergence between prices on the pig market in the EU countries. The research was conducted using, among others, the augmented Dickey-Fuller (ADF) test and the Johansen test. The monthly data from January 2008 (2008M1) to December 2019 (2019M12) were used in this study (Eurostat, Statistical Yearbook of Agriculture). The conducted research indicates the existence of convergence paths between some countries and the group of EU-15 countries.

As for human resources, the period before the COVID-19 pandemic can be characterized as relatively stable with a low unemployment rate, while stereotyping in the employment of different age groups subsided. With the arrival of COVID-19, organizations have begun to lay off employees 50+, the employee turnover has increased, the demands of employees and organizations have changed, and the scissors in the number of wages and salaries for both sexes and most positions are widening. Against the background of this recent research, the main objective of our study is to identify access of organizations to implementation of age management (precisely measures supporting employees' cooperation and knowledge transfer). Data were obtained using standardized (n = 183) and qualitative research (n = 5) implemented in the second half of 2020 in agricultural and forestry Czech organizations and were evaluated using multidimensional and descriptive statistics. The results have shown that leaders in Czech organizations, due to financial problems of organizations, employee illness, insufficiently skilled workforce, have begun to take unsystematic steps leading to the destabilization of teams, the demotivation of employees. They have stopped paying attention to sustainable human resource management (SHRM), which is necessary for sustainable business. The factors identified using a factor analysis include the group of organizations according to their behavior similarity when organizations primarily focus on HR marketing, the stabilization of the internal environment or performance management, and the acquisition of qualified employees. The results of this study are limited to the researched sample of Czech companies.