Mechanization in land preparation and irrigation water productivity: insights from rice production

Mechanization in land preparation and irrigation water productivity: insights from rice production

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 Surv...

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Bibliographic Details
Published in:International journal of water resources development Vol. 40; no. 3; pp. 379 - 400
Main Authors: Li, Junpeng, Ma, Wanglin, Botero-R, Julio Cesar, Quoc Luu, Phong
Format: Journal Article
Language:English
Published: Guildford Routledge 03-05-2024
Taylor & Francis Ltd
Subjects:
Automation
Climate change
Crop production
Crop yield
Farmers
food security
Irrigation
Irrigation water
Land
Mechanization
Productivity
Regression models
Rice
Water
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Summary: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.
ISSN:0790-0627
1360-0648
DOI:10.1080/07900627.2023.2197080