Cluster analysis as a tool for improving the performance of agricultural enterprises in the agro-industrial sector

Huseynov, Rashad; Aliyeva, Naila; Bezpalov, Valery V.; Syromyatnikov, Denis

doi:10.1007/s10668-022-02873-8

Cited by 5 publications

(3 citation statements)

References 28 publications

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“…The development of digital agriculture has the potential to completely transform how agriculture is practiced and managed [44,45,88]. The use of digital technologies in agriculture can contribute to increased efficiency and productivity, reduced resource use and environmental impact, and improved quality of agricultural products [104].…”

Section: Discussionmentioning

confidence: 99%

“…This method can reveal significant differences between different clusters regarding the evolution of digital technologies and agricultural productivity, thus reflecting the diversity of contexts and agricultural strategies within the EU [56]. Cluster analysis plays a pivotal role in this context by offering a comprehensive view of the intricate interplay between digital technologies and agricultural performance across diverse regional landscapes within the EU [88][89][90][91]. This analytical approach empowers policymakers and stakeholders to customize interventions and allocate resources more efficiently to bolster agricultural productivity across various regions and agricultural systems within the EU [39,92].…”

Section: Methodsmentioning

confidence: 99%

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A Cross-Sectional Analysis of the Relationship between Digital Technology Use and Agricultural Productivity in EU Countries

Bocean

2024

Agriculture

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Amidst the rapid evolution of digital technologies and their prospective implications for agricultural productivity, farmers are increasingly turning to Agriculture 4.0. As digitization permeates every facet of agriculture, the potential for boosting productivity while ensuring sustainability and resilience becomes increasingly tangible. The objective of this study is to understand how the adoption of digital technologies influences agricultural productivity within the diverse socioeconomic and agricultural landscapes of EU nations. The research of this study aims to address questions concerning the impact of digital technology use on agricultural productivity across EU countries. This study employs a robust analytical framework combining equation modeling (SEM), artificial neural networks, and cluster analysis. SEM analysis reveals significant associations and influences between digital technology use and productivity related to the total labor force across EU countries. Moreover, cluster analysis outlines distinct clusters of EU member states distinguished by varying degrees of digital technology incorporation and corresponding agricultural productivity, emphasizing the diverse socioeconomic contexts that influence these associations. These findings underscore the significance of embracing digital technology as a catalyst for enhancing agricultural productivity across EU nations. Future research could focus on devising strategies to promote the widespread adoption of digital technologies in agriculture across EU member states, and longitudinal analyses could offer insights into the dynamic relationship between digital technology use and agricultural output, informing policy interventions.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

A Cross-Sectional Analysis of the Relationship between Digital Technology Use and Agricultural Productivity in EU Countries

Bocean

2024

Agriculture

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“…En comparación con otros métodos de clasificación jerárquica, este suele producir clústeres de tamaño similar, de forma que no solo se obtienen clasificaciones con similares características entre las observaciones dentro de cada cluster, sino que los diferentes grupos suelen estar conformados por un número parecido de observaciones o individuos. Esta técnica ha sido utilizada recientemente en diferentes estudios para el análisis de indicadores sociales y de sostenibilidad (Majerova & Nevima, 2017;Drastichová & Filzmoser, 2019;Doğruel & Ümit, 2019;Huseynov et al, 2023), y asimismo se ha seleccionado en esta investigación para agrupar los países según las características que reflejan los indicadores ODS de paz examinados.…”

Section: Revista Científicaunclassified

Perspectivas de la paz en el mundo

Medina-Hernández,

Marbello-Yepes,

Siado-Castañeda

2023

Rev. Cient. Gen. José María Córdova

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Este artículo analiza la paz como dimensión del desarrollo sostenible, para lo cual estudia mediante técnicas multivariantes las relaciones entre ocho indicadores de los Objetivos de Desarrollo Sostenible, según datos reportados por 145 países con corte al año 2021. Se describen las diferencias y similitudes entre países, según su pertenencia al norte o al sur global, así como por continentes, para observar la pertinencia de conformar un clúster de naciones. Se concluye que hay una gran heterogeneidad entre países y regiones, y el índice de percepción de la corrupción es uno de los indicadores que genera mayor diferenciación. También se delimitan seis clústeres de países por situaciones similares, que permiten resumir los retos que enfrentan los países para fomentar la paz, la justicia y la constitución de instituciones gubernamentales sólidas.

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The Role of Clusters in Managing Technological Challenges and Achieving Resilient Agri-Food Systems at the Global Level

Coman,

Alexoaei,

Cojanu

2024

Proceedings of the International Conference on Business Excellence

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There is a strong need to transform agriculture from its heavy dependence on staple crops to an increased production that can, on the one hand, address the needs and quality requirements of domestic and export markets, but also grow into a resilient agri-food system. The paper acknowledges the emergence of agro-clusters as an essential element in promoting sustainable agriculture practices and in supporting export performance. The main objective of our research is to investigate the role of clusters in promoting knowledge transfer, improve competitiveness and boost technological investments through the example of selected relevant agri-clusters. To extend the existing literature, our research aims to evaluate the link between export performance - measured considering the volume of trade – and the existence of agri-clusters. We have assumed that there is a strong direct relationship between the existence and stage of development of agricultural clusters, the performance of agricultural exports – expressed in terms of total value of agricultural exports - and resilient agri-food systems. To test our hypothesis, we use data from the United Nations Comtrade Database on changes in export share and value of agricultural products over the last decade, complementary with qualitative analysis based on more than 100 sources (government documents, webpages, presentations, projects) of the top five global agricultural exporters to evaluate the existence of agricultural clusters, the government support and implication, and the integration of other actors such as universities, research centers, financial institutions. The results indicate a positive correlation between the development stage of analysed agricultural clusters, the resilience of agri-food systems and the performance of agricultural exports of the country of origin.

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Cluster analysis as a tool for improving the performance of agricultural enterprises in the agro-industrial sector

Cited by 5 publications

References 28 publications

A Cross-Sectional Analysis of the Relationship between Digital Technology Use and Agricultural Productivity in EU Countries

A Cross-Sectional Analysis of the Relationship between Digital Technology Use and Agricultural Productivity in EU Countries

Perspectivas de la paz en el mundo

The Role of Clusters in Managing Technological Challenges and Achieving Resilient Agri-Food Systems at the Global Level

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