Clustering countries of the world according to their business practices in agriculture

Abstract

The study aims to cluster countries worldwide by business practices in the agrosec tor to reveal trends and specifics in applying sustainable methods in agrobusiness management. The analysis covers 26 countries from the OECD database as of 2021. The Word and k-means clustering methods are based on General Services Support Estimate indicators from the OECD: share of agricultural knowledge and innovation system, share of inspection and control, share of development and maintenance of infrastructure, share of cost of public stockholding, which has a determining, statistically significant influence on the formation of clusters. The first cluster included three Asian countries; China is the leader (share of agricultural knowledge and innovation system – 6,529.7 million USD, share of inspection and control – 3177.9 million USD, share of development and maintenance of infrastructure – 12,874.7 million USD, share of cost of public stockholding – 14,668.5 million USD). The second cluster comprised six countries, with the USA as the leader (share of agricultural knowledge and innovation system – 2,908.4 million USD, share of inspection and control – 1,298.0 million USD, share of development and maintenance of infrastructure – 2,392.5 million USD). The third cluster has 17 countries, with Canada being singled out (share of inspection and control – 631.8 million USD and share of agricultural knowledge and innovation system – 683.1 million USD). The results indicate the diversity of countries’ approaches to support and develop their agrosector. Advanced Asian countries and the US invest significant resources in innovation, infrastructure development, and quality control, underscoring their commitment to food security, efficiency, and sustainability. Дослідження спрямоване на кластеризацію країн світу за бізнес-практикою в агросекторі, щоб виявити тенденції та специфіку застосування стійких методів в агробізнесі управління. Аналіз охоплює 26 країн із бази даних ОЕСР станом на 2021 рік. Методи кластеризації Word і k-means базуються на загальній службі підтримки Оцінка показників ОЕСР: частка сільськогосподарських знань та інновацій система, частка інспекції та контролю, частка розвитку та підтримки в структурі, частка вартості державного акціонерного капіталу, яка має визначальний, статистично значний вплив на формування кластерів.