Search Results (98)

This article aims to assess the conditions and prospects for biomass utilization in the Visegrad Group (V4) countries. Additionally, the relationship between biomass energy production and greenhouse gas emissions was examined. A key component of the analysis involved identifying potential directions for the development of biomass utilization in the pursuit of the sustainable development of agricultural enterprises. In relation to these research objectives, a hypothesis was formulated regarding the causal relationship between biomass energy consumption and economic growth, the abundance of natural resources, and income in reference to the European Union economies. Both static and dynamic panel studies were applied. The conducted research revealed the complex nature of the conditions influencing biomass utilization. The study period covered the years 2004–2022. A negative correlation was found between the use of biomass and greenhouse gas emissions. At the same time, factors favoring biomass utilization included economic growth, the level of natural resource consumption per capita, and government policies aimed at increasing the share of renewable resources in the economy. Full article

The Visegrád Group (V4), as China’s key economic and trade partner in Central and Eastern Europe, plays a pivotal role in enhancing the effectiveness of sustainable development within the China-Central and Eastern Europe cooperation (China-CEEC) framework through its comprehensive green initiatives. This study analyzes export data and environmental product classifications from major countries in the CEPII-BACI database, covering the period from 2003 to 2022, to construct a green product space network. The analysis reveals the evolutionary patterns of the green industry and the collaborative transformation mechanisms between China and the V4 countries. The findings indicate the following: (1) The green product space network displays a “core-periphery” structural framework, wherein China has expanded its core product offerings by leveraging technological advancements in the photovoltaic sector, while the V4 countries enhance their resource allocation by systematically phasing out peripheral products. (2) The Green Complexity Index (GCI) suggests that China’s green production capacity has significantly improved, thereby narrowing the technological gap with Poland and Slovakia. (3) According to the Green Competition Index, a strategic complementary space exists between the two parties in the domain of medium- to high-complexity products. This study recommends extending green cooperation to higher value chain segments by establishing a collaborative innovation network for green technologies, developing a dynamic capacity optimization mechanism, and deepening the joint research and development of core products. This article offers a decision-making framework based on production capacity endowments to facilitate multinational collaborative transformations in the green industry. Full article

In Industry 4.0, predictive maintenance (PdM) is key to optimising production processes. While its popularity among companies grows, most studies highlight theoretical benefits, with few providing empirical evidence on its economic impact. This study aims to fill this gap by quantifying the economic performance of manufacturing companies in the Visegrad Group countries through PdM algorithms. The purpose of our research is to assess whether these companies generate higher operational profits and lower sales costs. Using descriptive statistics, non-parametric tests, the Hodges–Lehmann median difference estimate, and linear regression, the authors analysed data of 1094 enterprises. Results show that PdM significantly improves economic performance, with variations based on geographic scope. Regression analysis confirmed PdM as an essential predictor of performance, even after considering factors like company size, legal structure, and geographic scope. Enterprises with more effective cost management and lower net sales were more likely to adopt PdM, as revealed by decision tree analysis. Our findings provide empirical evidence of the economic benefits of PdM algorithms and highlight their potential to enhance competitiveness, offering a valuable foundation for business managers to make informed investment decisions and encouraging further research in other industries. Full article

This study aims to investigate how innovation development drives green finance in the Visegrad countries by analyzing the role of R&D investments, high-tech trade, and patent activity in attracting greenfield investments. Using a vector autoregression (VAR) model with data from 2007 to 2022, this study employs forecasting techniques, impulse response functions, and variance decomposition analyses to assess the dynamic relationship between innovation and green financial flows. The findings reveal that R&D expenditures are the strongest driver of green investments, explaining over 93% of the variance in Poland and Hungary. High-tech trade significantly influences investment trends, contributing up to 84% of the variance in the Czech Republic, while patent applications initially boost greenfield investments but show diminishing returns over time. Although innovation-driven investments remain stable overall, the impact of trade and patents varies across countries, reflecting regional differences. This study identifies key challenges, such as commercialization gaps and policy disparities, highlighting the need for targeted financial and innovation policies. To sustain green finance growth, policymakers should expand R&D funding, strengthen trade infrastructure, and enhance intellectual property commercialization. Additionally, financial institutions and investors should play a more active role in developing green investment markets to support long-term economic resilience and sustainability. Full article

This paper aims to investigate the sustainability performance trajectories of the Visegrád Group (V4) countries since their accession to the European Union. Given their shared historical, geopolitical, and socio-economic backgrounds, this study explores common evolutionary patterns and convergence within the sustainable development goal framework. This research employs the Kml3D non-parametric clustering algorithm and standard beta and sigma convergence tests. The analysis covers the 2004–2023 data sourced from the European Sustainable Development Report 2023/24 by the Sustainable Development Solutions Network. The findings demonstrate that while each country follows a distinct path, Czechia and Slovakia exhibit notable similarities in the evolution of individual sustainability dimensions. This underscores the influence of path dependence, institutional inertia, and cross-border policy coordination in sustainable development. The results also suggest that although the V4 countries generally converge in socio-economic and infrastructural dimensions of sustainability, divergence persists in education, gender equality, nature preservation, and institutional performance. Full article

As climate change intensifies, organic agriculture faces new challenges in maintaining sustainability and environmental health. Precision agriculture offers climate-smart solutions by enabling resource efficient and data-driven farming. However, the adoption of precision agriculture technologies (PATs) is influenced by various socio-economic factors, behavioral factors, financial factors, institutional factors and technological factors. Adaptation factors for precision agriculture technologies and their application in response to climate change were identified through a systematic literature review (SLR) of 58 papers from journals indexed in Scopus and Web of Science. The investigation was performed for the Visegrad group countries: Czechia, Slovakia, Poland, and Hungary. Some of these technologies include satellite imaging, remote sensing, soil moisture sensors, and precision irrigation systems, which enable more efficient use of water, fertilizers, and energy. Through a comparative analysis of the application of precision agriculture technologies in the V4 countries, this review underscores the importance of tailored PA approaches to address a specific climate challenge and promote sustainable agricultural practices in the V4 countries. Full article

Efficiency is one of the tenets in assessing the financial health of an enterprise. Ultimately, the form of asset management has a major impact on growth but also on the decline of profit. It also reveals how the enterprises are positioned within the competitive market environment. For this reason, the aim of this article is to define the level of business activity in the Visegrad Four in the pre-crisis, during-crisis and post-crisis periods of the COVID-19 pandemic. The investigation included 48,650 enterprises from Slovakia, Czechia, Poland, and Hungary over the period 2017–2023. We determined the median values of eleven business efficiency indicators separately for each country and sector. The Friedman test and Kruskal–Wallis test confirmed significant differences between years and countries. Furthermore, multiple pairwise comparisons revealed analogies between the pre-crisis and post-crisis periods, as well as similarities between the two pandemic years for the tested ratios. One can observe that the results serve as the foundation for regional and international benchmarks, particularly for enterprises from former Eastern Bloc countries. Full article

Consumers are increasingly seeking ecological, organic, minimally processed food from certified organic farms. Consumer purchasing decisions in the organic food market are determined by various factors. The main objective of the article is to identify the range and direction of multidimensional relationships between the frequency of purchasing organic food and the factors that determine purchasing decisions. For this purpose, a canonical analysis was performed. Statistical data were obtained from survey research conducted in Poland, Czechia, Slovakia, and Hungary (600 questionnaires filled in each country) from December 2023 to March 2024. Research shows that the key factor that influences purchasing decisions with respect to organic food is its high quality. In countries such as Poland, Czechia, and Slovakia, this feature received the highest percentage of indications as very important, 53%, 44%, and 54%, respectively. In the second place, respondents indicated production without agricultural chemicals and food additives (in Hungary, this factor was considered the most important, with a percentage of indications at the level of 77%). In all the countries of the Visegrad Group, the influence of famous people, celebrities, and bloggers seems to be the least important—40.7% of respondents in Slovakia considered them completely unimportant, and as many as 73% in Hungary. Fashion was similarly rated low. In the case of this factor, the percentage of indications as unimportant ranged from 31% (Slovakia) to 76% (Hungary). Full article

Neural tube defects (NTDs) are malformations of the central nervous system that represent the second most common cause of congenital morbidity and mortality, following cardiovascular abnormalities. Maternal nutrition, particularly folic acid, a B vitamin, is crucial in the etiology of NTDs. FA plays a key role in DNA methylation, synthesis, and repair, acting as a cofactor in one-carbon transfer reactions essential for neural tube development. Randomized trials have shown that FA supplementation during preconceptional and periconceptional periods reduces the incidence of NTDs by nearly 80%. Consequently, it is recommended that all women of reproductive age take 400 µg of FA daily. Many countries have introduced FA fortification of staple foods to prevent NTDs, addressing the high rate of unplanned pregnancies. These policies have increased FA intake and decreased NTD incidence. Although the precise mechanisms by which FA protects against NTDs remain unclear, compelling evidence supports its efficacy in preventing most NTDs, leading to national recommendations for FA supplementation in women. This review focuses on preconceptional and periconceptional FA supplementation in the female population of the Visegrad Group countries (Slovakia, Czech Republic, Poland, and Hungary). Our findings emphasize the need for a comprehensive approach to NTDs, including FA supplementation programs, tailored counseling, and effective national-level policies. Full article

Research on household energy poverty is crucial for addressing basic human needs, highlighting the importance of conducting studies across different countries. This study examines energy poverty in the Visegrad Group countries using 2022 data from the EU Statistics on Income and Living Conditions survey, with the ‘inability to keep the home warm’ indicator as a measure. The study aims to identify socio-economic factors influencing energy poverty and examine how their impacts differ across the examined countries. Logistic regression, combined with machine learning techniques, was applied for this purpose. Furthermore, the study evaluates the classification results of logistic regression and three machine learning methods—CatBoost, Balanced Random Forests, and Extreme Gradient Boosting—on imbalanced data. It was found that, among the three machine learning methods used, Balanced Random Forests performed the weakest. Logistic regression, effective for our imbalanced data, complements the results and provides deeper insights into the socio-economic factors influencing energy poverty. The study found that Slovakia had the highest percentage of households vulnerable to energy poverty, while Czechia had the lowest. Income, household type, and the presence of disabled individuals were found to be important across all countries. However, other factors varied in their influence from one country to another, highlighting the need for country-specific analyses. Monitoring households’ exposure to energy poverty is a challenge for future social policy and the use of different methods provides an in-depth view of this complex issue. Full article

The COVID-19 pandemic has negatively impacted the world economy and global society. However, small- and medium-sized enterprises are among the most vulnerable and affected groups of businesses, and in some cases, life-saving interventions have resulted in serious existential implications. The difficulties of insufficient demand, non-negligible fixed costs, and inadequate financing are unsustainable for many firms. Thus, the main aim of this study is to evaluate the variables influencing business activities, apply macroeconomic variables to compare the business environments in fifteen European countries, and utilize appropriate statistical techniques to confirm the results. Significant differences exist in the business climate across selected European countries, as identified by the TOPSIS method, CPI, and GCI. Low levels of corruption, strong economic stability, and high competitiveness make countries like Germany and Austria attractive for business environments. Estonia is also a leader in technological innovation and low corruption. Conversely, Bulgaria and Romania are struggling with higher levels of corruption and reduced competitiveness, potentially impeding business endeavours. The Visegrad Group countries are in the middle of the spectrum, scoring average to good but with opportunities for improvement in corruption and innovation. Overall, the business climate in these countries is diverse, reflecting their unique economic, political, and social circumstances. Full article

The aim of this study is to assess the impact of socio-economic development, consumption of renewable energy, educational spending, and foreign direct investment on carbon dioxide emissions in the Visegrad countries (Czech Republic, Hungary, Poland, and Slovakia) between 1991 and 2021. The study employed the Autoregressive-Distributed Lag Bound Testing model and Toda–Yamamoto causality tests to establish short- and long-term relationships for each of the dependent variables and countries, aiming to verify the hypotheses. For the Czech Republic and Slovakia, a bidirectional relationship was identified between carbon emissions and the Human Development Index (HDI). In Poland, bidirectional causality was indicated between renewable energy consumption and carbon dioxide emissions. Unidirectional causality was evident for the Czech Republic, Hungary, and Slovakia between the specified variables. Short-term findings indicate that an increase in renewable energy production may lead to higher carbon dioxide emissions in the Visegrad countries. In the long term, only Slovakia demonstrates a significant relationship between educational spending and reduced carbon emissions. Toda–Yamamoto tests reveal unidirectional causality between foreign direct investment and carbon dioxide emissions for the Czech Republic and Slovakia. Empirical findings suggest that policymakers should invest in socio-economic development and renewable energy to reduce CO₂ emissions and achieve long-term sustainability in the Visegrad countries. Poland needs to shift its energy policy away from coal, and all countries should enhance education to effectively transmit environmental knowledge and values. Full article

The production of foodstuffs for an ever-increasing population is the basic, irreducible and unalienable function of agriculture. It involves environmental impacts, including greenhouse gas emissions. This is what makes it so important to examine the levels of environmental efficiency of agriculture. As countries differ in their emission levels, it is reasonable to look for what determines them. Hence, the purpose of this study was to identify the changes in the environmental efficiency of agriculture in Visegrád Group countries and worldwide in 1961–2020. These countries share a similar economic history and demonstrate comparable environmental and geographic conditions, making it possible to pinpoint the factors responsible for how the parameters covered by the study change over time. The research used data from the FAOSTAT database. Environmental efficiency of agriculture was defined as the relationship between production volumes in kilocalories and emissions. Initially, this parameter deteriorated in the Visegrád countries, but since the late 1970s it has improved, first linked to the crisis of the socialist economy and its collapse (including a drastic decline in livestock production) and then to the implementation of CAP instruments. Full article

The paper aims to find disparities in the perception of sustainability-related criteria’s impact on the sustainability of the SMEs in the countries of the V4 based on gender. The case study was conducted on 1398 responses from owners or top managers in Visegrad Group countries (V4). The questionnaire contained 52 questions. Data collection was conducted by an external agency using the CAWI methodology. The statistical hypotheses were verified by applying structural equation modelling (SEM method). The empirical findings are important for many authors and researchers. The environmental aspect of entrepreneurship is the most important factor, having a strong positive impact on the sustainability of SMEs. This includes active involvement in environmental protection, environmental responsibility as a part of SME governance, and the perception of owners regarding the environment in firm management. Gender disparities are important in evaluating financial management, the level of digitalisation in a firm, human resource management, and business ethics, and their effect on the sustainability of SMEs. Full article

The Visegrad Group, comprising Czechia, Hungary, Poland, and Slovakia, has several common features, including their geographical proximity, membership in the EU and NATO, and similar levels of economic development. However, they also have significant differences. The Russian invasion of Ukraine has exposed new disagreements among them, particularly regarding how to ensure energy security amid a changing geopolitical landscape and the issue of sanctions on Russian energy supplies. Despite these differences, the Visegrad Group countries have shown unity in their approach to nuclear power. Although their use of nuclear technology varies, they have recently aligned their nuclear energy policies. Czechia and Slovakia have a long history with nuclear technology, dating back to the 1970s, while Hungary began its nuclear program in the 1980s. Poland, which had paused its nuclear program after the Chernobyl disaster, has recently resumed its nuclear energy efforts. All four countries aim to expand their nuclear energy capacity to either maintain or increase its share in their electricity mix. This paper provides a comparative analysis of their nuclear energy policies, focusing on the political initiatives driving advancements in this field. It argues that these nations see nuclear energy as crucial for creating a resilient, crisis-resistant, and secure energy sector. Full article