Economic Performance of Agriculture in the European Union Countries

Rađenović, Žarko; Krstić, Bojan; Marković, Milan

doi:10.30858/zer/145686

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…The multivariate methodology known as Agglomerative Hierarchical Cluster Analysis served as the methodological background for the current research, ensuring the member countries of the European Union are grouped according to comparable features in the field of eco-innovation. The final few rounds of the agglomeration layout undergo the most substantial alterations as the analyzed items begin to associate with one another (Rađenović et al, 2022). The number of clusters is defined by the final decrease in the squared Euclidean distance, as per the agglomeration scheme that employs Ward's technique (Fanelli, 2018).…”

Section: Resultsmentioning

confidence: 99%

Targeting Eco-Innovation Performance Among Eu Countries: Cluster Outcome

Rađenović,

Janjić,

Talić

2024

SIJ

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An indispensable tool for enhancing economic growth and protecting the environment is eco-innovation, which integrates innovation and sustainable development. By utilizing innovation to address social, economic, and environmental issues, eco-innovation is essential to achieving sustainable development goals. One significant strategy for addressing environmental issues and promoting economic expansion is eco-innovation. Optimizing resource use and promoting efficiency across various sectors, eco-innovation holds significant importance in modern conditions. Eco-innovation represents a proactive approach and leads to positive environmental outcomes. The performance of eco-innovation is a key determinant of its effectiveness in achieving sustainable development goals. Undoubtedly, the European Union’s (EU) policy plan of the past few decades strongly emphasizes eco-innovation. Through initiatives such as the Eco-Innovation Scoreboard, which provides a comprehensive evaluation of eco-innovation performances across EU member states, the EU has been at the forefront of fostering eco-innovation. Eco-Innovation Scoreboards consist of indicators designed to measure various aspects of eco-innovation, used to assess the overall eco-innovation performance of EU member states and to track progress over time. This study examines the average value of eco-innovation performances across EU member states using data from the Eco-innovation Scoreboard. It also presents a comparative analysis of eco-innovation performances across EU member states over two different periods, 2013-2017 and 2018-2022, using indicators including eco-innovation input, eco-innovation activities, eco-innovation output, resource efficiency outcomes, and socio-economic outcomes. Cluster analysis groups EU member states based on their eco-innovation performances, allowing for a comparative assessment of different clusters. The examination evaluates the effectiveness of EU member states in combining innovative practices with sustainable development by focusing on cluster outcomes. The results of the analysis show dynamic changes in eco-innovation performance among EU countries, indicating migration between clusters over time. The observed trends suggest an evolution of priorities and strategies in eco-innovation, which requires adaptive policy responses. Policymakers are advised to adopt flexible and adaptive strategies that take into account the changing performance landscape of eco-innovation and that capitalize on the strengths recognized within each cluster while overcoming identified weaknesses.

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Section: Resultsmentioning

confidence: 99%

Targeting Eco-Innovation Performance Among Eu Countries: Cluster Outcome

Rađenović,

Janjić,

Talić

2024

SIJ

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“…The paper presents issues related to circular economy indicators and cluster analysis in EU 27 countries and the disparities in performance which are largely the result of different starting positions of countries' development [12]. The authors used selected CE indicators from the Eurostat database, as follows: Resource productivity, the Recycling rate of municipal waste, Circular material use rate, and the Recycling rate of all waste excluding major mineral waste.…”

Section: Discussionmentioning

confidence: 99%

Eu Countries Hierarchical Clustering Towards Circular Economy Performance Indicators

Vranjanac

Rađenović

2022

FU Work Liv Env Prot

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Circular economy indicators can be used for ranking countries and their hierarchical clustering. It shows the differences and similarities in the progress between individual countries, made toward the realization of the principles of the circular economy (CE). CE is a modern concept and the aspiration to preserve resources and protect the environment. The paper presents a cluster analysis at the level of the European Union (EU27) countries, based on the data of CE composite indicators, which is managed by the statistical office of the European Union (Eurostat). SPSS IBM 26.0 statistics software was used for cluster analysis, while the ANOVA method was applied to check the statistical significance of the obtained results. The most important results achieved in the paper are the classification into 6 clusters within the EU27 countries, with similar policies in the area of the circular economy. The best-ranked cluster is cluster 6 which consists of only 1 country, the Netherlands, the European leader in the circular economy. Accordingly, this paper aims to determine the similarities and differences between the EU member states in the implementation of circular economy postulates by dividing them into clusters. In this way, the highest mean values of the indicators within the cluster will be determined, and thus the circular economy model that other clusters should follow.

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“…The expansion of the EU has brought benefits for the entire European Community [18]. However, different models of farming in the countries of Central and Eastern Europe during the period of real socialism and diverse models of systemic transformation adopted after 1991 have caused significant differences in the organizational and legal form of farms as well as the scale and intensity of production in this region [19]. Dairy farms in Czechia are the biggest regarding milk production, land size and capital resources [20].…”

Section: Changes In Milk Production and Economic Strength Of Dairy Fa...mentioning

confidence: 99%

Return on Equity in Dairy Farms from Selected EU Countries: Assessment Based on the DuPont Model in Years 2004–2020

Parzonko

Bórawski

et al. 2023

Agriculture

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The European Union dairy sector plays a significant role in supplying dairy products to consumers all over the world. The aim of this study was to examine changes in the return on equity as one of the main financial indicators determining the economic viability of EU dairy farms in the years 2004–2020. The analysis based on the DuPont model was used to determine the main drivers of return on equity in dairy farms from the five studied EU countries. The research results show that (1) the lowest return on equity in the years 2004–2020 was calculated for average farms from the Netherlands, and the reason for this phenomenon was the use of significant assets in the production, mainly resources that are very expensive in the Netherlands—land and human labor; (2) the highest return on equity was characteristic of dairy farms from France, and the factor strongly determining the favorable value of this ratio was the high degree of financing assets with low-interest loans and credits; (3) despite the lowest production potential and small scale of milk production, average Polish farms in the years 2004–2020 were characterized by a relatively high return on equity, which ranged from 4.97% to 14.9%.

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Economic Performance of Agriculture in the European Union Countries

Cited by 6 publications

References 11 publications

Targeting Eco-Innovation Performance Among Eu Countries: Cluster Outcome

Targeting Eco-Innovation Performance Among Eu Countries: Cluster Outcome

Eu Countries Hierarchical Clustering Towards Circular Economy Performance Indicators

Return on Equity in Dairy Farms from Selected EU Countries: Assessment Based on the DuPont Model in Years 2004–2020

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