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This study investigates the correlations between Chinese banana farmers' perceptions of integrated water management technology (IWMT) and their adoption behaviours and examines the impact of IWMT adoption on farm performance. The results revealed that farmers' IWMT adoption correlates significantly with their perceptions of whether IWMT adoption can help reduce farm workload, fertilizer and water, the extent to which the technology is easier to operate, and the extent to which the technology can generate higher economic benefits than furrow irrigation technology. IWMT adoption significantly increases banana yields, gross revenue, net returns and irrigation frequency, but does not significantly affect irrigation expenditure. [ABSTRACT FROM AUTHOR]

This study investigates how and to what extent mechanization in land preparation (MLP) can help improve irrigation water productivity (IWP) (measured as rice yield per unit volume of irrigation water). We employed an endogenous treatment regression model to estimate the 2021 China Land Economic Survey (CLES) data collected from Jiangsu province, China. The results reveal that MLP adoption increases IWP significantly; a higher IWP is determined by whether or not farmers adopt MLP rather than through which channel they access their farm machines; the effects of MLP adoption on IWP are monotonically increasing across the selected quantiles. [ABSTRACT FROM AUTHOR]