Crop Diversity and Common Agricultural Policy—The Case of Slovakia

Lazíková, Jarmila; Bandlerová, Anna; Rumanovská, Ľubica; Takáč, Ivan; Lazíková, Zuzana

doi:10.3390/su11051416

Cited by 23 publications

(26 citation statements)

References 31 publications

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“…As presented in [2][3][4][5][6][7], CAP policies strongly influence national economies, with some authors [2] emphasizing that CAP plays one of the most important roles in the EU's overall construction. In a recent study [3], while demonstrating that the partial equilibrium model (CAPRI) and the theory of moves (TOM) can be jointly used to test socio-political acceptance of the CAP's reforms, the authors also emphasize that CAP is also one of the most controversial EU policy frameworks involving continuous reforms and adjustments.…”

Section: Introductionmentioning

confidence: 99%

“…A modelling procedure targeting the impact of CAP payments on the crop diversity of agricultural holdings can be found in another author's research [6], which uses an econometric approach to identify irrigation, geographical location (including the soil quality), total crop area, and the legal structure of agricultural holdings as the most important factors in influencing the crop diversity and, conversely, considers the manager's education, distance of the farm from the city, and membership in farmers' associations as unimportant factors.…”

Section: Introductionmentioning

confidence: 99%

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Modelling the Common Agricultural Policy Impact over the EU Agricultural and Rural Environment through a Machine Learning Predictive Framework

et al. 2021

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This research provides an analytical and predictive framework, based on state-of-the-art machine-learning (ML) algorithms (random forest (RF) and generalized additive models (GAM)), that can be used to assess and improve the Common Agricultural Policy (CAP) impact/performance over the agricultural and rural environments, easing the identification of proper instruments that can be used by EU policy makers in CAP’s financial management. The applied methodology consists of elaborating a custom-developed analytical framework based on a dataset containing 22 relevant indicators, considering four main dimensions that describe the intricacies of the EU agricultural and rural environment, in the CAP context: rural, emissions, macroeconomic, and financial. The results highlight that an increase of the agricultural research and development funding, as well as the agriculture employment rate, negatively influence the degree of rural poverty. The rural GDP per capita is influenced by the size of the employment rate in agriculture. It seems that environmental sustainability, identified by both fertilizers used and emissions from agriculture parameters, significantly influences the GDP per capita. In predicting emissions in agriculture, the direct payment, degree of rural poverty, fertilizer use, employment in agriculture, and agriculture labor productivity are the main independent parameters with the highest future importance. It was found that when predicting direct payments, the rural employment rate, employment in agriculture, and gross value added must be considered the most. The agricultural, entrepreneurial income prediction is mainly influenced by the total factor productivity, while agricultural research and development investments depend on gross value added, direct payments, and gross value added in the agricultural sector. Future research, related to prediction models based on CAP indicators, should also consider the marketing dimension. It is recommended for direct payments to be used to invest in upgrading the fertilizers technologies, since environmental sustainability will influence economic growth.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling the Common Agricultural Policy Impact over the EU Agricultural and Rural Environment through a Machine Learning Predictive Framework

et al. 2021

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“…In Slovakia, most of the agricultural holdings are focused on the mixed (crop and animal) production. The most favored crops are cereals (wheat, barley, maize), fodder crops, and industrial crops, e.g., [43,44]. The most favored animal production is beef meat, milk, pig meat, sheep meat, poultry, and eggs, e.g., [45].…”

Section: Methodsmentioning

confidence: 99%

Technical Efficiency in the Agricultural Business—The Case of Slovakia

Lazíková

Takáč

et al. 2019

Sustainability

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The key element of the European Union (EU) Common Agricultural Policy is sustainable agriculture where the social, economic, and environmental objectives should be fulfilled. This role can fulfill only those agricultural holdings that are effective in the transformation of inputs to outputs, and which do not waste the inputs. Therefore, we analyze the technical efficiency of the agricultural holdings in the Slovak regions, and try to identify the factors that are able to influence the efficiency of agricultural holdings. We can conclude that there are regional disparities in technical efficiency in Slovakia; however, the problem of inefficiency is not typical only for the agricultural holdings in the areas with natural constraints. These regional disparities should be considered when adopting a new political measure to support sustainable agriculture. By the results of econometric models, we find that the agricultural production diversity, the policy of the labor market, and tax policy are the important factors influencing the technical efficiency of the agricultural holdings in Slovakia.

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“…In a significant way, they influenced the use of agricultural land. According to Lazíková et al [21], only crop diversity, as opposed to a unilateral focus on crop production of cereals and oil-plants, plays an important role in sustainable agrosystems. The impact of the payments under the EU's CAP affects the heterogeneity of the crops grown by agricultural enterprises.…”

Section: Introductionmentioning

confidence: 99%

Development Trends in the Crop Production in Slovakia after Accession to the European Union—Case Study, Slovakia

Némethová

Rybanský

2021

Sustainability

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The development of agriculture in Slovakia in the last three decades has been influenced by two events: the transformation of agriculture after 1989 and Slovakia’s accession to the European Union in 2004. In this paper, we analyze the effects of Slovakia’s accession to the European Union on the development and structure of crop production. The aim of the paper was to identify connections, parallels and differences between the developments of the sown areas of the most important crops at the level of Slovakia and its regions in the period 2004–2020. Cluster analysis based on the similarity of the development of the sown areas divided the crops into four clusters (cereals; sugar-beet; oilseeds, multiannual fodder crops, maize; legumes, vegetables, potatoes). Multivariate analyses of the time series of sown areas also revealed similarities and differences between the regions of Slovakia. The results of the analysis point to regional differentiation and the identify two clusters. The first cluster comprises the Nitra and Trnava Regions, while the second cluster consists of the remaining six regions. The study has shown that changes in the agrarian sector after 2004, conditioned by Slovakia’s accession to the European Union, have been reflected in changes in the area and structure of cultivated crops, and in the differentiated development of sown areas.

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Crop Diversity and Common Agricultural Policy—The Case of Slovakia

Cited by 23 publications

References 31 publications

Modelling the Common Agricultural Policy Impact over the EU Agricultural and Rural Environment through a Machine Learning Predictive Framework

Modelling the Common Agricultural Policy Impact over the EU Agricultural and Rural Environment through a Machine Learning Predictive Framework

Technical Efficiency in the Agricultural Business—The Case of Slovakia

Development Trends in the Crop Production in Slovakia after Accession to the European Union—Case Study, Slovakia

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