... construct a novel CollabCulture index by applying unsupervised machine learning (Word2Vec) to the textual data from the annual reports of Chinese agricultural listed companies (2001–2020). To address endogeneity and establish a causal link, we employ a robust instrumental variable strategy using regional...

... groups of small-scale farming systems require different forms of government interventions. This paper applies a machine learning approach to analyze the typologies of small-scale farmers in South Africa based on a wide range of objective variables regarding their personal, farm and context...

... system. Originality/value This article employs machine learning methods to identify news reports related to food safety in the catering industry quantitatively and incorporates them into the study of household consumption in China. Consequently, this not only fills a gap in the existing literature...

... genotyping data) of the participants, the authors employed four machine learning-based classification (MLC) models to assess the performance of genetic information in predicting individuals' food choices. Findings The authors found that the XGBoost algorithm incorporating both genetic and socio...

... is inferior to the level they indicated. Second, the study compares the performance of three machine learning algorithms, the random forest, support vector machines and least absolute shrinkage and selection operator (LASSO) regression, applied to a set of socioeconomic variables to predict subjective poverty...

... an unsupervised machine learning approach to identify urban-rural integration typologies based on multidimensional metrics regarding economic, population and social integration in China. Design/methodology/approach The study introduces partitioning around medoids (PAM) for the identification of urban-rural...

...Chang Liu; Lin Zhou; Lisa Höschle; Xiaohua Yu Purpose The study uses machine learning techniques to cluster regional retail egg prices after 2000 in China. Furthermore, it combines machine learning results with econometric models to study determinants of cluster affiliation. Eggs are an inexpensiv...

.../methodology/approach The author adopts a machine learning technique to identify international relation coalition partnerships and use network analysis to characterize the clustering pattern of coalitions with high-frequent records of global event data. The author then constructs a monthly dataset...

... analysis and machine learning. Findings This study provides a comprehensive review of applications of big data in agricultural economics and discusses some potential future uses of big data. Originality/value This study documents some new types of data that are being utilized in agricultural...